Research Output

@article{c8074a50b1504dc9bbb68a3a8a592d14,

title = {Improved imputation of rule sets in class association rule modeling: application to transportation mode choice},

author = {Jiajia Zhang and Tao Feng and Harry Timmermans and Zhengkui Lin},

doi = {10.1007/s11116-021-10238-9},

issn = {0049-4488},

year  = {2021},

date = {2021-11-26},

journal = {Transportation},

volume = {XX},

number = {X},

publisher = {Springer},

abstract = {Predicting transportation mode choice is a critical component of forecasting travel demand. Recently, machine learning methods have become increasingly more popular in predicting transportation mode choice. Class association rules (CARs) have been applied to transportation mode choice, but the application of the imputed rules for prediction remains a long-standing challenge. Based on CARs, this paper proposes a new rule merging approach, called CARM, to improve predictive accuracy. In the suggested approach, first, CARs are imputed from the frequent pattern tree (FP-tree) based on the frequent pattern growth (FP-growth) algorithm. Next, the rules are pruned based on the concept of pessimistic error rate. Finally, the rules are merged to form new rules without increasing predictive error. Using the 2015 Dutch National Travel Survey, the performance of suggested model is compared with the performance of CARIG that uses the information gain statistic to generate new rules, class-based association rules (CBA), decision trees (DT) and the multinomial logit (MNL) model. In addition, the proposed model is assessed using a ten-fold cross validation test. The results show that the accuracy of the proposed model is 91.1%, which outperforms CARIG, CBA, DT and the MNL model.},

note = {Funding Information: This work was supported by China Scholarship Council.},

keywords = {Class association rules, FP-tree, Rule merging, Transportation mode choice},

pubstate = {published},

tppubtype = {article}

}

@article{@ZHANG2021URBANCOMPUTATION,

title = {“What should be computed” for supporting post-pandemic recovery policy making? A life-oriented perspective},

author = {Junyi Zhang and Tao Feng and Jing Kang and Shuangjin Li and Rui Liu and Shuang Ma and Baoxin Zhai and Runsen Zhang and Hongxiang Ding and Taoxing Zhu },

url = {https://link.springer.com/content/pdf/10.1007/s43762-021-00025-8.pdf},

doi = {doi.org/10.1007/s43762-021-00025-8},

year  = {2021},

date = {2021-11-19},

urldate = {2021-11-19},

journal = {Computational Urban Science },

volume = {1},

number = {24},

pages = {1-16},

abstract = {The COVID-19 pandemic has caused various impacts on people’s lives, while changes in people’s lives have shown mixed effects on mitigating the spread of the SARS-CoV-2 virus. Understanding how to capture such two-way interactions is crucial, not only to control the pandemic but also to support post-pandemic urban recovery policies. As suggested by the life-oriented approach, the above interactions exist with respect to a variety of life domains, which form a complex behavior system. Through a review of the literature, this paper first points out inconsistent evidence about behavioral factors affecting the spread of COVID-19, and then argues that existing studies on the impacts of COVID-19 on people’s lives have ignored behavioral co-changes in multiple life domains. Furthermore, selected uncertain trends of people’s lives for the post-pandemic recovery are described. Finally, this paper concludes with a summary about “what should be computed?” in Computational Urban Science with respect to how to catch up with delays in the SDGs caused by the COVID-19 pandemic, how to address digital divides and dilemmas of e-society, how to capture behavioral co-changes during the post-pandemic recovery process, and how to better manage post-pandemic recovery policymaking processes.},

keywords = {Computation, COVID-19 pandemic},

pubstate = {published},

tppubtype = {article}

}

@article{WOS:000703846700010,

title = {Examining the spatial-temporal relationship between urban built  environment and taxi ridership: Results of a semi-parametric GWPR model},

author = {Chao Chen and Tao Feng and Chuan Ding and Bin Yu and Baozhen Yao},

url = {https://www.sciencedirect.com/science/article/pii/S0966692321002258},

doi = {10.1016/j.jtrangeo.2021.103172},

issn = {0966-6923},

year  = {2021},

date = {2021-10-01},

urldate = {2021-10-01},

journal = {JOURNAL OF TRANSPORT GEOGRAPHY},

volume = {96},

abstract = {With the advance of intelligent transportation systems (ITSs) and data 

 acquisition systems (DASs), it becomes possible in recent to explore the 

 determinants of urban taxi ridership using multi-source heterogeneous 

 data. This paper aims to use floating car data, points-of-interests 

 (POIs) data and housing-price data to assess the influence of the built 

 environment on taxi ridership. Within a scale of 0.5 km grid, critical 

 indicators related to the economic aspect, intermodal connection, and 

 land use factors were obtained using the multi-source data in Shanghai. 

 To capture the spatial and temporal heterogeneity, Semi-parametric 

 Geographically Weighted Poisson Regression (SGWPR) models are built over 

 different time dimensions. It is found that SGWPR models result in 

 higher goodness-of-fit than the generalized linear models. More 

 importantly, the results show the impacts of built environment factors 

 on taxi demand are highly heterogeneous, positive or negative in 

 different city areas, reflected in the significant temporal variations 

 of the effects. Overall, these findings suggest that the built 

 environment factors have significant impacts on urban taxi demand, and 

 the spatial context should not be ignored. Findings in this paper are 

 expected to help better understand the relationship between urban taxi 

 demand and built environment factors, improving the service level of the 

 urban taxi system, and offering valuable insights into future urban and 

 transportation planning.},

keywords = {Big data, Geography},

pubstate = {published},

tppubtype = {article}

}

@article{WOS:000690513900001,

title = {Students' Intention of Visiting Urban Green Spaces after the COVID-19  Lockdown in China},

author = {Jiayi Liu and Zhikai Peng and Xiaoxi Cai and You Peng and Jiang Li and Tao Feng},

url = {https://www.mdpi.com/1229054},

doi = {10.3390/ijerph18168601},

year  = {2021},

date = {2021-08-01},

urldate = {2021-08-01},

journal = {INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH},

volume = {18},

number = {16},

abstract = {This study addresses students' perceptions of using urban green spaces 

 (UGSs) after the easing of COVID-19 lockdown in China. We questioned 

 whether they are still mindful of the risks from the outdoor gathering, 

 or conversely, starting to learn the restoration benefits from the green 

 spaces. Online self-reported surveys were distributed to the Chinese 

 students aging from 14 to 30 who study in Hunan and Jiangsu Provinces, 

 China. We finally obtained 608 complete and valid questionnaire forms 

 from all participants. Their intentions of visiting UGSs were 

 investigated based on the extended theory of planned behavior model. 

 Structural equation modeling was employed to test the hypothesized 

 psychological model. The results have shown good estimation performance 

 on risk perception and perceived knowledge to explain the variances in 

 their attitudes, social norms, and perceived behavior control. Among 

 these three endogenous variables, the perceived behavior control owns 

 the greatest and positive influence on the behavioral intention, 

 inferring that controllability is crucial for students to make decisions 

 of visiting green spaces in a post-pandemic context.},

keywords = {COVID-19 pandemic, Green space, Student},

pubstate = {published},

tppubtype = {article}

}

@article{WOS:000682934900007,

title = {Analyzing heterogeneity in passenger satisfaction, loyalty, and  complaints with air-rail integrated services},

author = {Yalong Yuan and Min Yang and Tao Feng and Soora Rasouli and Xinpei Ruan and Xinyu Wang and Yu Li},

url = {https://www.sciencedirect.com/science/article/pii/S1361920921002480},

doi = {10.1016/j.trd.2021.102950},

issn = {1361-9209},

year  = {2021},

date = {2021-08-01},

urldate = {2021-08-01},

journal = {TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT},

volume = {97},

abstract = {To increase the understanding of passenger choice of air-rail integrated 

 services (ARIS), the present paper a) analyzes the profile of intermodal 

 passengers by classifying them based on their socioeconomic and travel 

 characteristics and (b) uncovers any heterogeneity in passenger 

 satisfaction with ARIS among different passenger groups. Through 

 collecting 1,345 passenger satisfaction questionnaires about ARIS, 

 surveyed in Shijiazhuang, China, we first apply latent class clustering 

 to classify passengers into three groups. Then, the key factors 

 affecting passenger satisfaction and its subsequent effect on loyalty 

 and complaints are identified using a partial least squares structural 

 equation model. Finally, path heterogeneities in different passenger 

 groups are explored using a multi-group analysis. The results show that 

 the three passenger groups attach similar importance to ticket services, 

 reliability, accessibility and comfort, while some noticeable 

 differences in perception are identified in personalized services, 

 information services, and connectivity.},

keywords = {Air-Rail, Heterogeneity},

pubstate = {published},

tppubtype = {article}

}

@article{ijgi10110758,

title = {A Data-Based Bi-Objective Approach to Explore the Accessibility of Multimodal Public Transport Networks},

author = {Wentao Yu and Huijun Sun and Tao Feng and Jianjun Wu and Ying Lv and Guangyu Xin},

url = {https://www.mdpi.com/2220-9964/10/11/758},

doi = {10.3390/ijgi10110758},

issn = {2220-9964},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {ISPRS International Journal of Geo-Information},

volume = {10},

number = {11},

abstract = {One of the top concerns for travelers when choosing public transportation is whether they can reach their destination in limited time and monetary cost on the basis of ensured reliability. However, the existing literature shows no studies on how to evaluate bi-objective multimodal accessibility under travel time uncertainty. In order to fill this research gap, this paper creates a multimodal super network based on smart card data in which the transfers among taxi, bus, and subway modes are developed and applied. Next, we propose a two-stage opportunity accessibility model to calculate bi-objective multimodal accessibility under travel time uncertainty. Then we propose a multimodal reliability path finding model and a reliability boundary convergence algorithm to solve this problem. Finally, we conduct a large-scale real-world case study. It is found that the impedance heterogeneity between different modes is significant, and multimodal travel has better accessibility than a unimodal one. Although multimodal accessibility decreases as the reliability increases, the advantage of multimodal over unimodal accessibility increases with reliability, and it can be improved up to 14.61% by multimodal transfers. This model can effectively guide traffic management departments to improve traffic accessibility in terms of time and cost and advise commuters to choose living places.},

keywords = {Bilevel, Multimodal},

pubstate = {published},

tppubtype = {article}

}

@article{Peng2021,

title = {Heterogeneity in outdoor comfort assessment in urban public spaces},

author = {Y. Peng and T. Feng and H. J. P. Timmermans},

doi = {10.1016/j.scitotenv.2021.147941},

issn = {18791026},

year  = {2021},

date = {2021-01-01},

journal = {Science of the Total Environment},

volume = {790},

abstract = {The assessment of outdoor comfort can provide valuable insights into the quality of urban public spaces. Rational indices based on the heat-balance model have been extensively used for assessing thermal comfort in various outdoor environments for a long time. However, a growing body of literature is arguing the theoretical limitations of rational indices, including the lack of contextual considerations and the non-consideration of the active role of human being. Furthermore, the well-documented inconsistency in previous investigations suggests individuals' heterogeneous thermal expectations, preferences and adaptations typically depend on person-related and place-related contexts. Nevertheless, the study of heterogeneity in comfort assessment remains fragmentary. In an attempt to incorporate heterogeneity into a comprehensive conceptual framework of outdoor comfort, this study develops a latent class path model based on empirical data of 701 respondents from Eindhoven, the Netherlands. We identified two latent classes associated with different causal structures underlying the assessment of outdoor comfort. Meanwhile, the membership of latent classes is identified based on respondents' socio-demographic and behavioral covariates. The results show that, with respect to the influence on comfort assessment, the exogenous and endogenous variables are varying in effectiveness and strength between the two latent classes. Latent class 1 assesses the outdoor comfort mainly based on thermal sensation and expectations of thermal and wind conditions, whereas latent class 2 comprehensively considered both thermal and non-thermal influences, especially, the psychological acceptability and need satisfaction of outdoor activity. Our findings suggest that, in addition to the expanded framework of outdoor comfort study, understanding the heterogeneity in respondents' comfort perception is needed to comprehensively address the approaches to archive the comfortable urban public spaces in design, planning and management practices.},

keywords = {Heterogeneity, Latent class path model, Outdoor comfort, Urban public space},

pubstate = {published},

tppubtype = {article}

}

@article{Yuan2021,

title = {Analyzing heterogeneity in passenger satisfaction, loyalty, and complaints with air-rail integrated services},

author = {Y. Yuan and M. Yang and T. Feng and S. Rasouli and X. Ruan and X. Wang and Y. Li},

doi = {10.1016/j.trd.2021.102950},

issn = {13619209},

year  = {2021},

date = {2021-01-01},

journal = {Transportation Research Part D: Transport and Environment},

volume = {97},

abstract = {To increase the understanding of passenger choice of air-rail integrated services (ARIS), the present paper a) analyzes the profile of intermodal passengers by classifying them based on their socioeconomic and travel characteristics and (b) uncovers any heterogeneity in passenger satisfaction with ARIS among different passenger groups. Through collecting 1,345 passenger satisfaction questionnaires about ARIS, surveyed in Shijiazhuang, China, we first apply latent class clustering to classify passengers into three groups. Then, the key factors affecting passenger satisfaction and its subsequent effect on loyalty and complaints are identified using a partial least squares structural equation model. Finally, path heterogeneities in different passenger groups are explored using a multi-group analysis. The results show that the three passenger groups attach similar importance to ticket services, reliability, accessibility and comfort, while some noticeable differences in perception are identified in personalized services, information services, and connectivity.},

keywords = {Air-rail integrated services, Heterogeneity, Latent class clustering, Multi-group analysis, Passenger loyalty, Passenger satisfaction},

pubstate = {published},

tppubtype = {article}

}

@article{Jiang2021,

title = {Ground access behaviour of air-rail passengers: A case study of Dalian ARIS},

author = {Y. Jiang and S. Yu and W. Guan and S. Gao and T. Feng},

doi = {10.1016/j.tbs.2021.03.006},

issn = {2214367X},

year  = {2021},

date = {2021-01-01},

journal = {Travel Behaviour and Society},

volume = {24},

abstract = {Passenger ground access behaviour greatly impacts the promotion and development of air-rail integrated service (ARIS). However, little is known about people's actual choice behaviours with combined ARIS alternatives. To further understand the decision mechanisms of air-rail passengers, this paper specifically analyses the ground access behaviour of ARIS passengers and identifies key influential factors at the fostering stage when the air and rail services are not integrated. We first introduce the development of ARIS in China, including types of air-rail network synchronization, their development stages and the structure of the total ground access time. Using revealed preference panel data from ARIS passengers at Dalian Airport, a mixed multinomial logit model with unbalanced panel data was estimated while considering group characteristics and the random distribution of the total local dwelling time. It is found that passengers tend to make choices about ARIS alternatives from the perspective of ground access time and not from a perspective of high-speed scheduling. Passengers generally prefer to maintain a longer safety margin time when choosing ARIS alternatives.},

keywords = {Air-rail integrated service (ARIS), Dalian Zhoushuizi International Airport, Ground access behaviour, Unbalanced panel data mixed multinomial logit mode},

pubstate = {published},

tppubtype = {article}

}

@article{Tian2021,

title = {Using autonomous vehicles or shared cars? Results of a stated choice experiment},

author = {Z. Tian and T. Feng and H. J. P. Timmermans and B. Yao},

doi = {10.1016/j.trc.2021.103117},

issn = {0968090X},

year  = {2021},

date = {2021-01-01},

journal = {Transportation Research Part C: Emerging Technologies},

volume = {128},

abstract = {With the development of vehicle automation and sharing economy, a mix of human-driven and autonomous vehicles can be expected in the next few decades, which means the conventional vehicles, carsharing, autonomous vehicles (AV) and shared AVs will coexist, affecting the way of travel. AVs, especially combined with shared use, may contribute to reduce or solve some of the present most intractable urban problems such as traffic congestion, crashes and wasted use of urban spaces. Given the emerging trend of new mobility options, understanding the decision of people in owning a private human-driven vehicle or private AV versus using a shared AV or joining car sharing would have important indications for policy makers to reduce car ownership in general. Therefore, this paper is devoted to gain insight into individuals’ propensity for purchasing an autonomous vehicle or using shared (autonomous) cars. Based on the data collected using a stated choice experiment, we estimated a random parameter error component model to identify the possible heterogeneity between individuals in the preference and possible correlations between various mobility alternatives. Results show substantial heterogeneity exists among individuals in their preferences. People in general prefer to keep their current car or buy an AV rather than to use shared cars, and shared AVs are more favorable than the traditional car sharing. Regarding the shared AVs, people are not only concerned about the operational costs and hourly rate, but also vehicle availability and access time. Moreover, younger people are more willing to accept these new mobility options.},

keywords = {Autonomous vehicles, Car sharing, Shared autonomous vehicles, Sharing economy},

pubstate = {published},

tppubtype = {article}

}

@article{Gu2021,

title = {The effects of life course events on car ownership and sustainable mobility tools adoption decisions: Results of an error component random parameter logit model},

author = {G. Gu and T. Feng and C. Zhong and X. Cai and J. Li},

doi = {10.3390/su13126816},

issn = {20711050},

year  = {2021},

date = {2021-01-01},

journal = {Sustainability (Switzerland)},

volume = {13},

issue = {12},

abstract = {Life course events can change household travel demand dramatically. Recent studies of car ownership have examined the impacts of life course events on the purchasing, replacing, and disposing of cars. However, with the increasing diversification of mobility tools, changing the fleet size is not the only option to adapt to the change caused by life course events. People have various options with the development of sustainable mobility tools including electric car, electric bike, and car sharing. In order to determine the impacts of life course events on car ownership and the decision of mobility tool type, a stated choice experiment was conducted. The experiment also investigated how the attributes of mobility tools related to the acceptance of them. Based on existing literature, we identified the attributes of mobility tools and several life course events which are considered to be influential in car ownership decision and new types of mobility tools choice. The error component random parameter logit model was estimated. The heterogeneity across people on current car and specific mobility tools are considered. The results indicate people incline not to sell their current car when they choose an electric bike or shared car. Regarding the life course events, baby birth increases the probability to purchase an additional car, while it decreases the probability to purchase an electric bike or joining a car sharing scheme. Moreover, the estimation of error components implies that there is unobserved heterogeneity across respondents on the sustainable mobility tools choice and the decision on household’s current car.},

keywords = {Car ownership, Car sharing, Electric car, Error component model, Life course events},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Integrated weather effects on e-cycling in daily commuting: A longitudinal evaluation of weather effects on e-cycling in the Netherlands},

author = {J. Kruijf and P. Waerden and T. Feng and L. Böcker and D. Lierop and D. Ettema and M. Dijst},

doi = {10.1016/j.tra.2021.04.003},

issn = {09658564},

year  = {2021},

date = {2021-01-01},

journal = {Transportation Research Part A: Policy and Practice},

volume = {148},

abstract = {While in many regions the conventional bicycle has already been regarded as an environmentally friendly and healthy alternative to the car for daily commuting, societal and policy agendas are also increasingly promoting e-bike adoption. Adding to recent research on e-bike safety, satisfaction with travel and behavioral change, this paper reports on the impact of weather circumstances on the use of the e-bike in daily commuting in an e-cycling incentive program in the province of Noord-Brabant, the Netherlands. The impact of this incentive program was analyzed using a longitudinal design, and it combined travel patterns that were derived from individuals’ GPS data over nine months, hourly observed meteorological data, and questionnaires on intended behavior and sociodemographic characteristics. The findings suggest that the presence of snow and ice, total precipitation, and high windspeed negatively affected the choice of commuting to work by e-bike, in this decreasing order of impact. Although the overall impact of air temperature on e-cycling was positive, the likeliness to commute by e-bike decreased at higher air temperatures. E-cycling under specific weather conditions was more likely if participants’ intention to e-cycle under such weather conditions was stronger. Our study indicates that the benefits of the e-bike in daily commuting are underestimated in relation to adverse weather conditions. Respondents from households with one car only, therefore, have fewer alternatives in poor weather conditions: for these individuals, only total precipitation and the presence of relatively low air temperature impact e-cycling. In addition, reported gender and high wind speeds might have been expected to influence participation in e-cycling.},

keywords = {Behavior change, E-bike, E-cycling, GPS-data, Weather conditions},

pubstate = {published},

tppubtype = {article}

}

@article{Yuan2021b,

title = {Heterogeneity in passenger satisfaction with air-rail integration services: Results of a finite mixture partial least squares model},

author = {Y. Yuan and M. Yang and T. Feng and S. Rasouli and D. Li and X. Ruan},

doi = {10.1016/j.tra.2021.03.003},

issn = {09658564},

year  = {2021},

date = {2021-01-01},

journal = {Transportation Research Part A: Policy and Practice},

volume = {147},

abstract = {Air-rail integration services (ARIS) are a promising solution for intermodal travel, but they also offer challenges such as trip complexity and uncertainty that may negatively impact passenger satisfaction. This paper addresses the quality evaluation of ARIS with a twofold purpose, specifically, (1) to explore the causal relationships between the psychological and behavioral variables of passengers and (2) to identify different passenger groups for precise service improvements. The relationships among passenger expectations, perceived quality, perceived value, satisfaction, complaints and loyalty are hypothesized and analyzed by using a passenger satisfaction index (PSI) model based on a representative sample of 1,345 intermodal passengers at Shijiazhuang Zhengding International Airport (SJW). Next, a finite mixture partial least squares (FIMIX-PLS) technique is applied to explore the heterogeneity. The results suggest that perceived quality, perceived value and passenger expectations have a positive effect on passenger satisfaction, which, in turn, influences passenger loyalty and complaints. Moreover, three passenger segments are found, namely, “perceived value and expectation-oriented passengers”, “perceived quality-oriented passengers”, and “satisfied loyal-conscious passengers”. Interestingly, an overall similarity in the perceived quality among the three passenger segments is observed with the importance-performance map analysis (IPMA) method. Nevertheless, some noticeable differences in the psychological-behavioral relationships of the three passenger segments are identified. Finally, managerial implications are discussed.},

keywords = {Air-rail integration services (ARIS), Finite mixture partial least squares (FIMIX-PLS), Importance-performance map analysis (IPMA), Intermodal passenger, Passenger satisfaction index (PSI)},

pubstate = {published},

tppubtype = {article}

}

@article{Gu2021b,

title = {Modeling dynamics in household car ownership over life courses: a latent class competing risks model},

author = {G. Gu and T. Feng and D. Yang and H. Timmermans},

doi = {10.1007/s11116-019-10078-8},

issn = {15729435},

year  = {2021},

date = {2021-01-01},

journal = {Transportation},

volume = {48},

issue = {2},

abstract = {This study presents a latent class competing risks model to examine the influence of socio-demographics and life course events on car transaction behaviour. The types of car transaction and interval times between car transactions events are incorporated in a competing risk model. To capture unobserved behavioural heterogeneity across the population, the model classifies households into different segments. Results estimated based on retrospective survey data show significant heterogeneity exist in household car ownership decisions. The covariates are found to have different effects on car ownership decisions between different classes. Households in the class labelled “Young households without a car” are more sensitive to life course events related to household composition. Households labelled as “middle-aged and aged households with car(s)” are more sensitive to life course events related to job and house locations.},

keywords = {Car ownership, Heterogeneity, Latent class competing risks model, Life events},

pubstate = {published},

tppubtype = {article}

}

@article{Yang2021,

title = {Bikeway provision and bicycle commuting: City-level empirical findings from the US},

author = {Q. Yang and J. Cai and T. Feng and Z. Liu and H. Timmermans},

doi = {10.3390/su13063113},

issn = {20711050},

year  = {2021},

date = {2021-01-01},

journal = {Sustainability (Switzerland)},

volume = {13},

issue = {6},

abstract = {The growing worldwide awareness of the significant benefits of bicycling as an urban transport mode has aroused great interest in exploring the role that bikeways play in promoting utilitarian bicycling. However, few studies assess the contribution of citywide bikeway provision with the inclusion of all facility types and differentiation of facility utilities. This study provides new evidence by evaluating the collective effects of bikeway kilometers per square kilometer, bikeway kilometers per 10,000 population, and low-stress bikeway proportion on the bicycle-commuting share in 28 US cities between 2005 and 2017. Using linear panel regression models, we found that the expansion of citywide bikeway infrastructure positively influences the share of commute trips by bicycle. The results also indicated that the proportion of low-stress bikeways has a stronger impact on the bicycling-to-work share than bikeway kilometers per 10,000 population, while the impact of bikeway kilometers per square kilometer ranks last. These findings may aid policy makers and planners in formulating sound city-level bikeway policies favoring sustainable urban transportation scenarios.},

keywords = {Bicycling to work, City level, Collective effects, Panel analysis, Provision of bikeway infrastructure},

pubstate = {published},

tppubtype = {article}

}

@article{Li2021,

title = {Built environment and early infection of COVID-19 in urban districts: A case study of Huangzhou},

author = {B. Li and Y. Peng and H. He and M. Wang and T. Feng},

doi = {10.1016/j.scs.2020.102685},

issn = {22106707},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Sustainable Cities and Society},

volume = {66},

abstract = {Since COVID-19 spread rapidly worldwide, many countries have experienced significant growth in the number of confirmed cases and deaths. Earlier studies have examined various factors that may contribute to the contagion rate of COVID-19, such as air pollution, smoking, humidity, and temperature. As there is a lack of studies at the neighborhood-level detailing the spatial settings of built environment attributes, this study explored the variations in the size of the COVID-19 confirmed case clusters across the urban district Huangzhou in the city of Huanggang. Clusters of infectious cases in the initial outbreak of COVID-19 were identified geographically through GIS methods. The hypothetic relationships between built environment attributes and clusters of COVID-19 cases have been investigated with the structural equation model. The results show the statistically significant direct and indirect influences of commercial vitality and transportation infrastructure on the number of confirmed cases in an infectious cluster. The clues ch inducing a high risk of contagions have been evidenced and provided for the decision-making practice responding to the initial stage of possible severe epidemics, indicating that the local public health authorities should implement sufficient measures and adopt effective interventions in the areas and places with a high probability of crowded residents.},

keywords = {Built environment, Commercial prosperity, COVID-19, DBSCAN, GIS, Medical service, SEM, Transportation infrastructure},

pubstate = {published},

tppubtype = {article}

}

@article{Peng2021b,

title = {Assessing comfort in urban public spaces: A structural equation model involving environmental attitude and perception},

author = {Y. Peng and Z. Peng and T. Feng and C. Zhong and W. Wang},

doi = {10.3390/ijerph18031287},

issn = {16604601},

year  = {2021},

date = {2021-01-01},

journal = {International Journal of Environmental Research and Public Health},

volume = {18},

issue = {3},

abstract = {The research of comfort in urban public spaces has become increasingly important for improving environmental quality and encouraging people spend more time in outdoor activities. Among numerous approaches to understand comfort perception, the rational indices based on heat balance theory have prevailed to guide the research and practice in urban planning, design, and management. The limitations of a solely rational index-based approach reveal the necessity for a more comprehensive understanding of comfort by considering a wider range of influential factors from both individual and environmental perspectives during the assessing process. This study conceptualizes individuals’ comfort in urban public spaces as a latent construct, which is mea-sured by indicators regarding perceptions on multifarious meteorological variables. The conceptual framework has been introduced involving hypothetical relationships among individuals’ comfort, attitudes, and environmental perceptions in urban public spaces. A series of field work including microclimate measurements and questionnaire-based surveys were carried out in two public squares in Changsha, China. Based on the dataset derived from 372 questionnaires and related meteorological measurements, this paper examines the relationships between the physical microclimatic variables, individuals’ socio-demographical characteristics and environmental attitudes and perceptions, and outdoor comfort assessment. The estimation results of the structural equation model quantitatively verified the conceptual framework at large, as many hypothetical relationships are identified, which indicates the importance of individuals’ role and the psychological factors in modeling comfort per-ception. This approach improves the understanding of comfort assessment, contributes to improving the quality of urban environment and the practices of urban planning and management.},

keywords = {Environmental attitude, Environmental perception, Outdoor comfort, Structural equation model, Urban public space},

pubstate = {published},

tppubtype = {article}

}

@article{Dane2020,

title = {Visitor flows at a large-scale cultural event: Gps tracking at dutch design week},

author = {G. Dane and A. Borgers and D. I. Kaya and T. Feng},

doi = {10.3390/ijgi9110661},

issn = {22209964},

year  = {2020},

date = {2020-01-01},

journal = {ISPRS International Journal of Geo-Information},

volume = {9},

issue = {11},

abstract = {Large-scale cultural events bring many economic, social, and cultural benefits to the hosting cities. Although event producers aim to satisfy the visitors’ needs, they do not usually receive feedback on visitors’ experiences. Moreover, lack of spatial dispersal of visitors might result in less visibility for some activities and locations. An understanding of visitors’ spatial and temporal behavior and the factors influencing visitors’ intra-event destination choices is key to efficient and successful event management and future planning. In this article, we examine the relationship between visitors’ spatial and temporal behavior, the spatial structure of the host city, and visitor characteristics. In order to do this, data are collected from 281 event visitors by means of GPS tracking and paper surveys at the Dutch Design Week (DDW) 2017 event in Eindhoven, the Netherlands. Data are used to understand the area of interest locations, visitor flows, visitor clusters and area of interest choices by applying data processing, network analysis, cluster analysis and bivariate analysis. The results show that one of the three dedicated event areas was considerably less popular by the DDW visitors. Moreover, the choice of intra-event destination locations and areas depended mainly on temporal constraints of the visitors. The findings of this study can inform future event planning and management policies in hosting cities.},

keywords = {Cultural events, Event visitors, GPS tracking, Network analysis, Spatial analysis, Visitor flows, Visitor spatial behavior},

pubstate = {published},

tppubtype = {article}

}

@article{Li2020,

title = {Analysis of citizens' motivation and participation intention in urban planning},

author = {W. Li and T. Feng and H. J. P. Timmermans and Z. Li and M. Zhang and B. Li},

doi = {10.1016/j.cities.2020.102921},

issn = {02642751},

year  = {2020},

date = {2020-01-01},

journal = {Cities},

volume = {106},

abstract = {Public participation has attracted considerable interest in urban planning theory and practice. A large body of growing literature has attempted to figure out the importance of public participation in urban planning and management. However, there are very few theory-driven empirical studies in the participation literature that examine citizen's motivation and intention to participate in urban planning processes. The aim of this paper therefore is to fill this gap in the literature by investigating the relationship between motivation and the intention of public participation in the field of urban planning and management. On the basis of a survey conducted in Wuhan, China, a structural equation model is developed and estimated to identify the causal relationships between four motivational factors and three intentions to participate in urban planning. We find positive impacts of “Civil Society” “Personal Interest” “Social Influence” and a negative impact of “Constraints” on the intention to participate in urban planning. The conclusions of this study provide valuable insights for exploring the intrinsic and extrinsic factors affecting citizens' participation intentions in urban planning activities.},

keywords = {Behavioural motivation, Civil society, Public participation, Structural equation modelling, Urban planning, Wuhan},

pubstate = {published},

tppubtype = {article}

}

@article{Yan2020,

title = {Investigating private parking space owners’ propensity to engage in shared parking schemes under conditions of uncertainty using a hybrid random-parameter logit-cumulative prospect theoretic model},

author = {Q. Yan and T. Feng and H. Timmermans},

doi = {10.1016/j.trc.2020.102776},

issn = {0968090X},

year  = {2020},

date = {2020-01-01},

journal = {Transportation Research Part C: Emerging Technologies},

volume = {120},

abstract = {Shared parking allows the effective use of undersupplied parking spaces and contributes to the alleviation of urban parking problems, traffic congestion, environmental pollution, and other negative externalities of traffic. However, little is known about the acceptance of shared parking by consumers of a different socio-demographic profile. To understand the feasibility and potential success of shared parking, this paper develops a stated choice experiment with three choice options: fixed mode shared parking, flexible mode shared parking and not interested, to investigate parking space owners’ propensity to engage in shared parking under varying conditions. Because the demand for shared parking is uncertain, the revenues owners may generate are uncertain. As one of the most popular theories of decision making under uncertainty, the cumulative prospect theory is incorporated into a multinomial logit model to capture the decision problem in which some variables are uncertain and others are not. The revenue that owners expect shared parking can bring is used as the reference point to differentiate between gains and losses. Gains refer to outcomes that exceed the reference point, while losses refer to outcomes that fall short. To examine unobserved heterogeneity, a random parameter version of the model is specified to estimate the distribution of decision weights across the sample. Results show that socio-demographic characteristics, context variables, revenues and psychological concerns are all important factors in explaining parking space owners’ propensity to engage in platform-based shared parking schemes. Incorporating unobserved heterogeneous improves the overall goodness-of-fit of the model. Understanding parking space owners’ propensity to share their parking spaces in relation to their psychological concerns and uncertain conditions is critical to improve shared parking policies. The results of this paper may help designers and planners in the delivery of shared parking services and promote the success and future growth of the shared parking industry.},

keywords = {Multinomial logit model, Prospect theory, Random parameter model, Shared parking},

pubstate = {published},

tppubtype = {article}

}

@article{Liu2020,

title = {Understanding the determinants of young commuters’ metro-bikeshare usage frequency using big data},

author = {Y. Liu and Y. Ji and T. Feng and H. Timmermans},

doi = {10.1016/j.tbs.2020.06.007},

issn = {2214367X},

year  = {2020},

date = {2020-01-01},

journal = {Travel Behaviour and Society},

volume = {21},

abstract = {This paper examines the determinants of young commuters’ frequency of using public bikes as a feeder mode to/from metro. Using three-week metro- and public bike- smart card data from Nanjing, 1,154 metro-bikeshare commuters aged 18–35 were extracted. As possible factors influencing the use of the combined mode, individual and household socio-demographics, travel-related attributes and built environment characteristics were extracted from multi-source data. A negative binomial regression model was used to examine the effects of these factors on usage frequency. We found that young commuters are the biggest group using metro-bikeshare system. They use public bikes frequently to transfer to/from metro when the cycling time is less than 10 min and the transfer happens during the morning peak. Built environment characteristics also influence usage frequencies, with high-density bike facilities being related to higher cycling rates in inner areas, and residential /employment locations related to lower rates of cycling in the core areas. This suggests that different measures and policies designed to encourage the integrated use of metro-bikeshare should be put forward for different regions.},

keywords = {Metro-bikeshare integration, Negative binomial regression, Smart card data, Transfer frequency, Young commuter},

pubstate = {published},

tppubtype = {article}

}

@article{Li2020b,

title = {Perceived quality of urban wetland parks: A second-order factor structure equation modeling},

author = {J. Li and Q. Pan and Y. Peng and T. Feng and S. Liu and X. Cai and C. Zhong and Y. Yin and W. Lai},

doi = {10.3390/su12177204},

issn = {20711050},

year  = {2020},

date = {2020-01-01},

journal = {Sustainability (Switzerland)},

volume = {12},

issue = {17},

abstract = {Wetland in the urban or peri-urban areas has been recognized as an important component of urban ecosystems and provides ecological and environmental services. Wetland park emerged as a kind of restoration of natural wetlands in the context of increasing pressure on land and eco-environment caused by urban sprawl, which has played an essential role in providing recreational spaces/opportunities and improving social interactions. However, little research has been conducted on the theoretical formulation elaborating individuals' perceived quality of wetland parks when people are engaging in activities therein. This study is an attempt to develop a method to measure the quality of wetland parks based on individuals' various perceptions and attitudes. From the view of human-nature interaction, the perceived quality is hypothetically conceptualized as a composite of two dimensions, such as comfort perception and environmental satisfaction. A series of questionnaire-based surveys were conducted among respondents (N = 936) in Yanghu wetland park in Changsha, China. Based on the measured items from on-site surveys, second-order factor structural equation modeling is applied to estimate the hypothesis of a hierarchical structure for elaborating how the quality of wetland park is perceived by individual respondents. The results test the hypothesis that the quality of wetland park as a second-order theoretical construct can be conceptualized by two first-order theoretical constructs, individuals' comfort (loading = 0.749), and environmental satisfaction (loading = 0.828). In addition, a significant influence of attitudes toward green space on the perceived quality of wetland park has been identified.},

keywords = {Attitude toward green space, Environmental satisfaction, Outdoor comfort, Perceived quality, Second-order factor structural equation modeling, Urban wetland park},

pubstate = {published},

tppubtype = {article}

}

@article{Jiang2020,

title = {Latent class path model of intention to move house},

author = {W. Jiang and T. Feng and H. J. P. Timmermans},

doi = {10.1016/j.seps.2019.100743},

issn = {00380121},

year  = {2020},

date = {2020-01-01},

journal = {Socio-Economic Planning Sciences},

volume = {70},

abstract = {This paper proposes a latent class path model to analyse the intention to move house as a function of residential satisfaction, which in turn is influenced by the gap between residential aspirations and reality. Different from the existing literature, which assumes the same structural dependencies apply to all residents with different socio-demographic profiles, we allow for different unobserved classes with different structural dependencies. Class membership is a function of the socio-demographics of individuals. Using data from eight renovated historical blocks in two Chinese cities, the differences influencing the intention to move house between two latent classes are captured. In one class the intention to move is significantly influenced by housing and environmental satisfaction, but this dependency is not found in the other class. The impact of the residential gap on satisfaction also differs between the two classes. Class membership is found to be mainly attributed to having property rights or not and whether respondents are supporting the elderly. Policy and planning implications are provided considering the different residential interests and backgrounds of residents.},

keywords = {Intention to move house, Latent class path model, Residential satisfaction, Unobserved heterogeneity},

pubstate = {published},

tppubtype = {article}

}

@article{Jiang2020b,

title = {Determinants of wave-system structures of network airlines at hub airports},

author = {Y. Jiang and J. Lu and T. Feng and Z. Yang},

doi = {10.1016/j.jairtraman.2020.101871},

issn = {09696997},

year  = {2020},

date = {2020-01-01},

journal = {Journal of Air Transport Management},

volume = {88},

abstract = {This paper attempted to analyze the factors influencing the existence and configuration of wave-system structures of large network airlines at hub airports based on the statistical data of daily flight schedules. A bootstrapped binary logistic regression model was used to analyze the relationship between wave-system structure and its influential factors. Further, a partial least squared regression model was employed to uncover the determinants of wave-system structures' configuration. It is found that the interaction effects of two types of flight rates positively determine the existence of a wave-system structure, and the rate of airline's daily flights had the biggest impact on the configurations of wave-system structures.},

keywords = {Bootstrapped binary logistic regression model, Hub airports, Network airlines, Partial least square regression model, Wave-system structure},

pubstate = {published},

tppubtype = {article}

}

@article{Gu2020,

title = {Heterogeneous choice of home renewable energy equipment conditioning on the choice of electric vehicles},

author = {G. Gu and T. Feng},

doi = {10.1016/j.renene.2020.03.007},

issn = {18790682},

year  = {2020},

date = {2020-01-01},

journal = {Renewable Energy},

volume = {154},

abstract = {New mobility tools like electric vehicle and e-bike have been an important strategy in many cities for the reduction of traffic problems and the implementation of renewable energy infrastructures. The choice of individuals on mobility tools however may depend on the magnitude of a comparable cost. Home renewable energy equipment like solar panel which generates energy at home may potentially reduce the electricity expenditure of e-mobility. This paper therefore aims to investigate the choice behavior of individuals on their home renewable energy equipment conditioning on the choice of mobility tools. More specifically, we identify the differences among individuals in their preferences and the latent groups. Using the stated preference data collected in the city of Weiz, Austria, we estimated a latent class choice model with social demographics representing the user group membership. Results show that the synergy effect between EV and solar panels and self-sufficient home energy system is more attractive to people with low income although their willingness to buy are lower than people with high income.},

keywords = {Car sharing, E-bike, Mobility tool, Solar panel},

pubstate = {published},

tppubtype = {article}

}

@article{Gan2020,

title = {Examining the relationship between built environment and metro ridership at station-to-station level},

author = {Z. Gan and M. Yang and T. Feng and H. J. P. Timmermans},

doi = {10.1016/j.trd.2020.102332},

issn = {13619209},

year  = {2020},

date = {2020-01-01},

journal = {Transportation Research Part D: Transport and Environment},

volume = {82},

abstract = {Very few studies have examined the impact of built environment on urban rail transit ridership at the station-to-station (origin-destination) level. Moreover, most direct ridership models (DRMs) tend to involve simple a prior assumed linear or log-linear relationship in which the estimated parameters are assumed to hold across the entire data space of the explanatory variables. These models cannot detect any changes in the linear (or non-linear) effects across different values of the features of built environment on urban rail transit ridership, which possibly induces biased results and hides some non-negligible and detailed information. Based on these research gaps, this study develops a time-of-day origin-destination DRM that uses smart card data pertaining to the Nanjing metro system, China. It applies a gradient boosting regression trees model to provide a more refined data mining approach to investigate the non-linear associations between features of the built environment and station-to-station ridership. Data related to the built environment, station type, demographics, and travel impedance including a less used variable – detour, were collected and used in the analysis. The empirical results show that most independent variables are associated with station-to-station ridership in a discontinuous non-linear way, regardless of the time period. The built environment on the origin side has a larger effect on station-to-station ridership than the built environment on the destination side for the morning peak hours, while the opposite holds for the afternoon peak hours and night. The results also indicate that transfer times is more important variables than detour and route distance.},

keywords = {Built environment, Gradient boosting regression trees, Metro, Non-linear effect, Station-to-station ridership},

pubstate = {published},

tppubtype = {article}

}

@article{Jiang2020c,

title = {Non-linear asymmetric gap models of residential satisfaction: Formulation and empirical evidence},

author = {W. Jiang and T. Feng and H. J. P. Timmermans},

doi = {10.1177/2399808318790251},

issn = {23998091},

year  = {2020},

date = {2020-01-01},

journal = {Environment and Planning B: Urban Analytics and City Science},

volume = {47},

issue = {4},

abstract = {This paper proposes non-linear asymmetric gap–satisfaction models to assess the influence of the gap between aspirations and perceived residential attributes on residential satisfaction. Two variants of the residential gap are specified based on the difference and ratio between aspiration and reality. Besides the influence of residential gap, the interactions with social-demographics are incorporated in three specifications of gap–satisfaction relationship. Using empirical data collected from eight renovated historical blocks in two Chinese cities, the relative performances of the proposed gap models are compared with truncated linear symmetric gap models and traditional linear (absolute) difference models for housing, living environmental and neighbourhood attributes. The estimation results indicate that overall the non-linear asymmetric gap models outperform the linear gap models. The model fit for housing and living environmental attributes are very good. Satisfaction for housing attributes is predicted best with non-linear asymmetric gap ratio models, while the environmental attributes are best represented by non-linear asymmetric difference models. In case of the neighbourhood dimension, non-linear asymmetric gap ratio models show the best performance, while these models yield a good fit only for two attributes. The interaction effect of social-demographics is found to vary between residential attributes.},

keywords = {aspiration, residential gap, Residential satisfaction},

pubstate = {published},

tppubtype = {article}

}

@article{Guo2020,

title = {Modeling co-dependent choice of workplace, residence and commuting mode using an error component mixed logit model},

author = {J. Guo and T. Feng and H. J. P. Timmermans},

doi = {10.1007/s11116-018-9927-y},

issn = {15729435},

year  = {2020},

date = {2020-01-01},

journal = {Transportation},

volume = {47},

issue = {2},

abstract = {This paper develops an error component mixed logit model to analyze the multi-dimensional residential, work and transportation mode choice. It expanse previous studies based on life-trajectory theory which predominantly only considered two life domains. In contributing to this emerging field of research, we design an integrated pivoted stated choice experiment considering the multi-dimensional choice of job, residence and transportation mode for the journey to work. The results of the estimated error component mixed logit model with panel effects indicate that most selected attributes of the residential environment, job profile and transportation mode are significantly related to individual differences in multidimensional choices. Moreover, the estimation of various sources of unobserved heterogeneity signals significant unobserved heterogeneity in selected taste parameters, and choice dependent heteroscedasticity in error component variance.},

keywords = {Co-dependent location, Error component logit model, Heterogeneity, Multidimensional choice, Panel data, Pivoted stated choice experiment},

pubstate = {published},

tppubtype = {article}

}

@article{Liu2020b,

title = {Use frequency of metro-bikeshare integration: Evidence from Nanjing, China},

author = {Y. Liu and Y. Ji and T. Feng and Z. Shi},

doi = {10.3390/su12041426},

issn = {20711050},

year  = {2020},

date = {2020-01-01},

journal = {Sustainability (Switzerland)},

volume = {12},

issue = {4},

abstract = {Promoting a transition in individuals' travel mode from car to an integrated metro and bikeshare systems is expected to effectively reduce the traffic congestion that results mainly from commute trips performed by individual automobiles. This paper focuses on the use frequency of an integrated metro-bikeshare by individuals, and presents empirical evidence from Nanjing, China. Using one-week GPS data collected from the Mobike company, the spatiotemporal characteristics of origin/destination for cyclists who would likely to use shared bike as a feeder mode to metro are examined. Three areas of travel-related spatiotemporal information were extracted including (1) the distribution of walking distances between metro stations and shared bike parking lots; (2) the distribution of cycling times between origins/destinations and metro stations; and (3) the times when metro-bikeshare users pick up/drop off shared bikes to transfer to/from a metro. Incorporating these three features into a questionnaire design, an intercept survey of possible factors on the use of the combined mode was conducted at seven functional metro stations. An ordered logistic regression model was used to examine the significant factors that influence groupings of metro passengers. Results showed that the high-, medium- and low-frequency groups of metro-bikeshare users accounted for 9.92%, 21.98% and 68.1%, respectively. Education, individual income, travel purpose, travel time on the metro, workplace location and bike lane infrastructure were found to have significant impacts on metro passengers' use frequency of integrated metro-bikeshares. Relevant policies and interventions for metro passengers of Nanjing are proposed to encourage the integration of metro and bikeshare systems.},

keywords = {Frequency, GPS data, Metro-bikeshare integration, Ordered logistic regression, Survey},

pubstate = {published},

tppubtype = {article}

}

@article{Gan2020b,

title = {Understanding urban mobility patterns from a spatiotemporal perspective: daily ridership profiles of metro stations},

author = {Z. Gan and M. Yang and T. Feng and H. Timmermans},

doi = {10.1007/s11116-018-9885-4},

issn = {15729435},

year  = {2020},

date = {2020-01-01},

journal = {Transportation},

volume = {47},

issue = {1},

abstract = {Smart card data derived from automatic fare collection (AFC) systems of public transit enable us to study resident movement from a macro perspective. The rhythms of traffic generated by different land uses differ, reflecting differences in human activity patterns. Thus, an understanding of daily ridership and mobility patterns requires an understanding of the relationship between daily ridership patterns and characteristics of stations and their direct environment. Unfortunately, few studies have investigated this relationship. This study aims to propose a framework of identifying urban mobility patterns and urban dynamics from a spatiotemporal perspective and pointing out the linkages between mobility and land cover/land use (LCLU). Relying on 1 month’s transactions data from the AFC system of Nanjing metro, the 110 metro stations are classified into 7 clusters named as employment-oriented stations, residential-oriented stations, spatial mismatched stations, etc., each characterized by a distinct ridership pattern (combining boarding and alighting). A comparison of the peak hourly ridership of the seven clusters is conducted to verify whether the clustering results are reasonable or not. Finally, a multinomial logit model is used to estimate the relationship between characteristics of the local environment and cluster membership. Results show that the classification based on ridership patterns leads to meaningful interpretable clusters and that significant associations exist between local LCLU characteristics, distance to the city center and cluster membership. The analytical framework and findings may be beneficial for improving service efficiency of public transportation and urban planning.},

keywords = {LCLU, Ridership patterns, Smart card data, Station clustering, Urban mobility},

pubstate = {published},

tppubtype = {article}

}

@article{Li2020c,

title = {The Public’s Acceptance of and Intention to Use ICTs when Participating in Urban Planning Processes},

author = {W. Li and T. Feng and H. J. P. Timmermans and M. Zhang},

doi = {10.1080/10630732.2020.1852816},

issn = {14661853},

year  = {2020},

date = {2020-01-01},

journal = {Journal of Urban Technology},

volume = {27},

issue = {3},

abstract = {Urban planning/management is a complex process requiring multidisciplinary technical support and public approval. With the rapid development of information and communication technology, e-participation has brought unprecedented opportunities for urban planning and management in the sense that it potentially represents more efficiently and effectively the interests of different citizens. Nevertheless, the availability of new technologies does not guarantee success. In China, many local planning agencies began with enthusiastic ideas and investments but ended up with disappointment and frustration. Therefore, it is of critical importance to understand the general interest of the public to have access to and use information and communication technologies (ICT) in urban planning processes. This study develops a Stated Preference (SP) experiment to measure citizen’s preferences and intentions to use modern ICT media in urban planning processes. The results show that the intention to participate in urban planning processes using different ICT tools differs by socio-demographic variables. The research findings provide relevant information about the effects of different communication strategies on citizen engagement.},

keywords = {e-participation, ICT, motivation, Online participation, stated preference},

pubstate = {published},

tppubtype = {article}

}

@article{Shao2020,

title = {A discretionary lane-changing decision-making mechanism incorporating drivers' heterogeneity: A signalling game-based approach},

author = {H. Shao and M. Zhang and T. Feng and Y. Dong},

doi = {10.1155/2020/8892693},

issn = {20423195},

year  = {2020},

date = {2020-01-01},

journal = {Journal of Advanced Transportation},

volume = {2020},

abstract = {This paper attempts to propose a discretionary lane-changing decision-making model based on signalling game in the context of mixed traffic flow of autonomous and regular vehicles. The effects of the heterogeneity among different drivers and the endogeneity of same drivers in lane-changing behaviours, e.g., aggressive or conservative, are incorporated through the specification of different payoff functions under different scenarios. The model is calibrated and validated using the NGSIM dataset with a bilevel calibration framework, including two kinds of methods, genetic algorithm and perfect Bayesian equilibrium. Comparative results based on simulation show that the signalling game-based model outperforms the traditional space-based lane-changing model in the sense that the proposed model yields relatively stable reciprocal of time to collision and higher success rate of lane-changing under different traffic densities. Finally, a sensitivity analysis is performed to test the robustness of the proposed model, which indicates that the signalling game-based model is stable to the varying ratios of driver type.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lu2020,

title = {Evaluating the effects of Hong Kong-zhuhai-macao bridge on international air travel: Demand analysis of the air-bridge-air path},

author = {J. Lu and C. Lv and T. Feng and Z. Wang},

doi = {10.1504/ejim.2020.107629},

issn = {17516765},

year  = {2020},

date = {2020-01-01},

journal = {European Journal of International Management},

volume = {14},

issue = {4},

abstract = {To consolidate its position as the busiest Chinese hub to Southeast Asia, Hong Kong airport is collaborating with Zhuhai airport through the Hong Kong-Zhuhai-Macao Bridge to establish an air-bridge-air path, which may potentially encourage the international business and tourism along the Belt and Road economic corridor. To predict the increased demand attracted by this path, this paper proposes a path choice model using a nested logit model, which incorporates intermodal transfers on a time-space network. The proposed model was estimated based on the data collected from a stated preference survey and was applied to forecast the geographical distribution of air passenger flow. As predicted, the air-bridge-air path improves the connection and the travel efficiency between Northwest China and Southeast Asia, indicating its contribution to develop the Belt and Road initiative. Meanwhile, some strategies for developing the flight network of Zhuhai airport are proposed, where starting up a new air route from Xining to Zhuhai is recognised as the best option according to the scenario analysis results.},

keywords = {Air-bridge-air path, B&r initiative, Belt and road initiative, Passenger flow distribution, Timespace-network},

pubstate = {published},

tppubtype = {article}

}

@article{Shen2020,

title = {Inventory Optimization of Fresh Agricultural Products Supply Chain Based on Agricultural Superdocking},

author = {L. Shen and F. Li and C. Li and Y. Wang and X. Qian and T. Feng and C. Wang},

doi = {10.1155/2020/2724164},

issn = {20423195},

year  = {2020},

date = {2020-01-01},

journal = {Journal of Advanced Transportation},

volume = {2020},

abstract = {The "agricultural superdocking" mode which has been strong supported by the government has become the main way for fresh agricultural products to enter the market in China. Based on the analysis of fresh agricultural products supply chain inventory management under the "agricultural superdocking" mode, this paper constructs an integrated inventory model for fresh agricultural products of "farmers' professional cooperatives + distribution centers + supermarkets." Considering multiple members at each echelon of a supply chain, a model that maximizes the overall profit of the supply chain is proposed. The model assumes that the market demand of fresh agricultural products is affected by freshness and sales prices, and the distribution center is responsible for not only storage, processing, and distribution but also coordinating the production and supply information of farmers' professional cooperatives and the order sales information of supermarkets. An improved genetic algorithm is developed to solve the nonlinear optimization problem. Results of a case study show that the optimal supply and replenishment strategy under the given supply chain distribution process are obtained.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Sun2020,

title = {Modal shift implications of e-bike use in the Netherlands: Moving towards sustainability?},

author = {Q. Sun and T. Feng and A. Kemperman and A. Spahn},

doi = {10.1016/j.trd.2019.102202},

issn = {13619209},

year  = {2020},

date = {2020-01-01},

journal = {Transportation Research Part D: Transport and Environment},

volume = {78},

abstract = {This paper investigates the modal shift patterns of e-bike users in the Dutch context. We focus on the change in e-bikers’ travel behavior to assess whether this change benefits sustainability. Our study provides direct ecologically valid evidence on modal shift by using a longitudinal dataset from the Netherlands Mobility Panel survey. We examine e-bikers’ modal shift patterns before and after acquiring an e-bike. The findings indicate that after e-bike adoptions, conventional bike use reduces significantly, while car use reduces less strongly. Nonetheless, the share of car kilometers is much larger than that of conventional bikes at the baseline. Besides, the emission rate per passenger kilometer of an e-bike is several times lower than that of a car. These imply a net environmental gain after e-bike adoptions. The present study also sheds light on modal shifts at a disaggregated level by investigating those e-bikers who are more likely to drive less after e-bike adoption. The findings suggest that e-bikers younger than 50 and those around retirement age (60–69) seem more likely to step out of their cars. Additionally, people living in rural areas tend to be more likely to reduce their car use than their counterparts in highly urbanized areas. Based on our findings, we present policy recommendations for achieving a greener shift in mobility systems.},

keywords = {Cycling, E-bike, Modal shift, Panel data},

pubstate = {published},

tppubtype = {article}

}

@article{Guo2020b,

title = {Temporal interdependencies in mobility decisions over the life course: A household-level analysis using dynamic Bayesian networks},

author = {J. Guo and T. Feng and J. Zhang and H. J. P. Timmermans},

doi = {10.1016/j.jtrangeo.2019.102589},

issn = {09666923},

year  = {2020},

date = {2020-01-01},

journal = {Journal of Transport Geography},

volume = {82},

abstract = {Life trajectory analysis has been shown a powerful approach to understand the interdependencies between key life events, critical incidents and long-term mobility decisions such as residential move, job change and change in vehicle possession, which in turn constitute the context of daily activity-travel decisions. Because people in multi-earner households share resources, some of these long-term decisions affect them equally, while job change affects them differently because their job location likely differs. Current life course models in transportation research, however, have typically considered individuals' trajectories. To contribute to the further development of the relatively thin line of research in transportation studies, a dynamic Bayesian network approach is proposed to investigate the temporal interdependencies between life course events from a household perspective. Results show that the effects of child birth are much larger on residential and car ownership change than on job change for both household heads in dual-earner households. Moreover, the probability of residential and car ownership change increases when both spouses have relatively long commuting times. In case only the husband faces an excessive commuting time, households have a larger probability of moving house or purchasing an additional car. By contrast, in case only the wife faces an excessive commuting time, she is more likely to change job rather than the household taking particular actions to adjust to the problematic situation.},

keywords = {Car ownership change, Household decision making mechanisms, Job change, Life course decisions, Residential change, Temporal dependencies},

pubstate = {published},

tppubtype = {article}

}

@article{Guo2020c,

title = {Co-dependent workplace, residence and commuting mode choice: Results of a multi-dimensional mixed logit model with panel effects},

author = {J. Guo and T. Feng and H. J. P. Timmermans},

doi = {10.1016/j.cities.2019.102448},

issn = {02642751},

year  = {2020},

date = {2020-01-01},

journal = {Cities},

volume = {96},

abstract = {An effective instrument of urban planning to alleviate congestion is to create a job-housing balance, which depends on the co-localisation of housing and labour. This study is based on the contention that in response to dramatic change in their decision individuals and households maximize the combined utility of housing, job and commuting trips as opposed to maximizing their utility of one of these domains, treating the other dimensions as given, as many models assume. To support this contention, a stated choice experiment was designed to mimic the multidimensional choice behaviour of interest. Instead of creating an experimental design that is the same for all respondents, we generated an efficient design in which attribute values were pivoted using the real-world data of individual respondents. Based on data collected in Shenyang, China, a Mixed Multinomial Logit (MMNL) model with panel effects which allows for unobserved heterogeneity in individual preferences, was estimated to capture the effects of different residential, job and commuting attributes on multidimensional choice, accounting for the panel nature of the data. Our findings indicate that, 1) Housing tenure, size, price, distance to the bus stop, and housing location are important housing characteristics that help explaining the residential mobility choice process. Salary, job type, co-worker relationships and job environment are significant factors in the job mobility choice process. 2) Time-related factors influence commute mode choice. Choice of public transportation modes is sensitive to commuting costs while car mode choice is not. 3) People are relatively satisfied with their current situation and do not frequently make changes. Furthermore, people are less inclined to move house relative to changing job. 4) Both unobserved heterogeneity and demographic characteristics affect the multiple dimensions of choice.},

keywords = {Co-dependent choice, Joint choice, Panel effects, Stated choice experiment, Taste variation},

pubstate = {published},

tppubtype = {article}

}

@article{Guo2019,

title = {Time-varying dependencies among mobility decisions and key life course events: An application of dynamic Bayesian decision networks},

author = {J. Guo and T. Feng and H. J. P. Timmermans},

doi = {10.1016/j.tra.2019.09.008},

issn = {09658564},

year  = {2019},

date = {2019-01-01},

journal = {Transportation Research Part A: Policy and Practice},

volume = {130},

abstract = {People's long-term mobility decisions depend on their current situation, past history and/or future plans. Consequently, models of long-term mobility decisions should take lagged, concurrent and/or lead effects into account. Contributing to the literature on long-term mobility analysis, this study develops an integrated framework for modeling the temporally interdependent choices related to residential change, job change and car purchasing decisions. Using retrospective life trajectory data collected through a Web-based survey, a dynamic Bayesian network model is estimated. Results show that different life domains are highly interdependent. Concurrent, as well as lagged and lead effects are observed.},

keywords = {Concurrent, Dynamic Bayesian network, Lagged and lead effects, Life events},

pubstate = {published},

tppubtype = {article}

}

@article{Gan2019,

title = {Analysis of Metro Station Ridership Considering Spatial Heterogeneity},

author = {Z. Gan and T. Feng and M. Yang and H. Timmermans and J. Luo},

doi = {10.1007/s11769-019-1065-8},

issn = {1993064X},

year  = {2019},

date = {2019-01-01},

journal = {Chinese Geographical Science},

volume = {29},

issue = {6},

abstract = {This study aims to explore the role of spatial heterogeneity in ridership analysis and examine the relationship between built environment, station attributes and urban rapid transit ridership at the station level. Although spatial heterogeneity has been widely acknowledged in spatial data analysis, it has been rarely considered in travel behavior studies. Four models (three global models-ordinary least squares (OLS), spatial lag model (SLM), spatial error model (SEM) and one local model-geographically weighted regression (GWR) model) are estimated separately to explore the relationship between various independent variables and station ridership, and identify the influence of spatial heterogeneity. Using the data of built environment and station characteristics, the results of diagnostic identify evidence the existence of spatial heterogeneity in station ridership for the metro network in Nanjing, China. Results of comparing the various goodness-of-fit indicators show that, the GWR model yields the best fit of the data, performance followed by the SEM, SLM and OLS model. The results also demonstrate that population, number of lines, number of feeder buses, number of exits, road density and proportion residential area have a significant impact on station ridership. Moreover, the study pays special attention to the spatial variation in the coefficients of the independent variables and their statistical significance. It underlines the importance of taking spatial heterogeneity into account in the station ridership analysis and the decision-making in urban planning.},

keywords = {Built environment, rapid transit ridership, spatial heterogeneity, spatial models, station level},

pubstate = {published},

tppubtype = {article}

}

@article{Dane2019,

title = {Subjective immediate experiences during large-scale cultural events in cities: A geotagging experiment},

author = {G. Dane and A. Borgers and T. Feng},

doi = {10.3390/su11205698},

issn = {20711050},

year  = {2019},

date = {2019-01-01},

journal = {Sustainability (Switzerland)},

volume = {11},

issue = {20},

abstract = {Cities are increasingly exploiting new activities such as large-scale cultural events in public open spaces. Investigating the subjective immediate experiences of visitors is valuable to reflect on these events and their configuration in the city. Therefore the aim of this study is twofold: (i) to demonstrate a data collection methodology to measure subjective immediate experiences of visitors and (ii) to test different types of factors that influence visitors' subjective immediate experiences at cultural events by means of the new methodology. A quantitative research that is enabled by geotagging, paper surveys and secondary data (location characteristics and weather conditions) is applied at the Dutch Design Week event in Eindhoven, the Netherlands. After data collection, a binary logit model is estimated. It is found that apart from age and intended duration of stay, visitor characteristics do not influence the subjective immediate experiences while temporal, physical environmental and weather conditions do. Specifically, it is found that subjective immediate experiences at outdoor locations are mainly influenced by location characteristics. This study shows that the proposed data collection methodology is useful for gathering insights especially on the influence of physical characteristics on subjective immediate experiences. The paper concludes with recommendations for future research and with suggestions to policy makers and event managers.},

keywords = {Cultural event, Event visitors, Geotagging, GPS, Subjective immediate experiences},

pubstate = {published},

tppubtype = {article}

}