Research Output

@article{Peng2019,

title = {Expanded comfort assessment in outdoor urban public spaces using Box-Cox transformation},

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

doi = {10.1016/j.landurbplan.2019.103594},

issn = {01692046},

year  = {2019},

date = {2019-01-01},

journal = {Landscape and Urban Planning},

volume = {190},

abstract = {In order to assess outdoor comfort of individuals, this paper discusses the results of an expanded non-linear model using Box-Cox transformation. Instead of thermal sensation, individuals’ comfort assessment was used as the dependent variable. Further, a flexible non-linear model that allows for decreasing or increasing marginal effects of the explanatory variables on the ratings of outdoor comfort was specified. Apart from the physical microclimatic and environmental attributes, the variables related to the socio-demographics, emotional status, expectations, preference, perceptions and behavioral aspects were also incorporated in the model. To reduce the potential dependency of results on the sampled locations, a stated choice experiment was designed to systematically vary the conditions with different combinations of spatial attributes. The data was collected through a structured questionnaire and physical measurements of the surrounding environment from eight public spaces in Eindhoven, The Netherlands. Results show that the influence of non-physical factors, such as socio-demographics, behavioral and psychological attributes, on outdoor comfort are substantial and significant.},

keywords = {Box-Cox transformation, Expanded model, Non-linear model, Outdoor comfort},

pubstate = {published},

tppubtype = {article}

}

@article{Gu2019,

title = {Influence of the adoption of new mobility tools on investments in home renewable energy equipment: Results of a stated choice experiment},

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

doi = {10.1016/j.scs.2019.101641},

issn = {22106707},

year  = {2019},

date = {2019-01-01},

journal = {Sustainable Cities and Society},

volume = {50},

abstract = {The increasing shift of individuals to use new electric mobility tools like electric cars (EV) and electric bikes has changed household energy expenditure. It may also affect households’ investments in renewable energy equipment, i.e. solar panels, heat pumps. Relatively little research has been conducted on how the decision to purchase electric vehicles affects the decision to invest in home renewable energy equipment. This paper, therefore, aims to examine the effects of mobility tools decisions on the intention to invest in solar panels and heat pumps, based on the data collected through a stated choice experiment. A mixed logit model is estimated to capture unobserved heterogeneity among individuals. Results show that mobility tools significantly influence the choice of home renewable energy equipment. Households who prefer to purchase electric vehicles have a higher probability to invest in solar panels and heat pumps than households who prefer other mobility tools. In addition, EV adopters’ intention to invest in solar panels are stronger than the intention to invest in heat pumps. This suggests that electric vehicle users are likely the early adopters of solar panels.},

keywords = {Electric mobility, Home renewable energy equipment, Household energy consumption, Mixed logit model},

pubstate = {published},

tppubtype = {article}

}

@article{Wu2019,

title = {A network modelling approach to flight delay propagation: Some empirical evidence from China},

author = {W. Wu and H. Zhang and T. Feng and F. Witlox},

doi = {10.3390/su11164408},

issn = {20711050},

year  = {2019},

date = {2019-01-01},

journal = {Sustainability (Switzerland)},

volume = {11},

issue = {16},

abstract = {This paper examines flight delay propagation in air transport networks. Delays add to additional costs, inefficiencies, and unsustainable development. An integrated flight-based susceptible-infected-susceptible (FSIS) model was developed to analyse the flight delay process from a network-based perspective. The probability of flight delay propagation was determined using a translog model. The model was applied to an airline network consisting of thirty-three routes involving three airlines. The results show that the propagation probability is network-related and varies across different routes. The variation is related to the flight frequencies at airports, route distances, scheduled buffer times, and the propagated delay time. Whereas buffer time has a greater impact on smaller airports, flight movement has a greater impact on larger airports. Having a better understanding of how delays happen can help the development of strategies to avoid them. This will lead to less costs, higher efficiencies, and more sustainable airport and airline development.},

keywords = {Air transport network, China, Delay propagation probability, Flight delay propagation, Susceptible-infected-susceptible (SIS) model},

pubstate = {published},

tppubtype = {article}

}

@article{Yu2019,

title = {Simulation and optimization in engineering},

author = {B. Yu and T. Feng},

doi = {10.1177/0037549719863213},

issn = {17413133},

year  = {2019},

date = {2019-01-01},

journal = {Simulation},

volume = {95},

issue = {9},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yao2019,

title = {Allocation method for transit lines considering the user equilibrium for operators},

author = {B. Yao and C. Chen and L. Zhang and T. Feng and B. Yu and Y. Wang},

doi = {10.1016/j.trc.2018.09.019},

issn = {0968090X},

year  = {2019},

date = {2019-01-01},

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

volume = {105},

abstract = {The purpose of this study is to address the allocation of transit lines problem in operation-sharing. An allocation method for urban transit lines is proposed to guide public authorities to pursue an optimal plan considering the User Equilibrium for operators (UE-O). The method utilizes the concepts from mathematical programming and game theory to present the UE-O and proposes a set partitioning formulation considering the benefits of both passengers and operators. A branch-and-price algorithm employing both column generation and branch-and-bound is used to tackle the problem. The proposed method is validated through a case study using data from the Development District of Dalian. Results show that the proposed line allocation method considering the UE-O can reduce the potential competitions among operators. This method and findings can provide a guidance to the problems in operation-sharing regarding allocation of transit lines.},

keywords = {Allocation of transit lines, Branch-and-price, Column generation, Set partitioning formulation, User Equilibrium for operators},

pubstate = {published},

tppubtype = {article}

}

@article{Gan2019b,

title = {Station-based average travel distance and its relationship with urban form and land use: An analysis of smart card data in Nanjing City, China},

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

doi = {10.1016/j.tranpol.2019.05.003},

issn = {1879310X},

year  = {2019},

date = {2019-01-01},

journal = {Transport Policy},

volume = {79},

abstract = {Few studies based on large sample data have examined mobility patterns from a travel distance perspective and investigated the potential influence of urban form and land use on people's daily travel distances. This paper provides additional empirical insights into spatiotemporal urban mobility patterns and their relationship with urban form and land use using station-based average travel distances (ATDs). Drawing on smart card data of the Nanjing metro system, land use data and open source points-of-interest (POIs)data, we apply exploratory spatial data and quantile regression analysis to examine distance patterns and explore the potential effects of urban form and land use calculated at different spatial scales (i.e. 800 m, 2 km and 5 km)on the ATDs. By comparing mobility patterns between weekdays and weekends and for different times of day, our findings highlight that ATDs are not uniformly nor randomly distributed in space. Positive spatial autocorrelation is found for different time segments. The results of OLS and quantile regression models show a positive and robust relationship between ATDs and distances to the city center (DCs). The models also prove that land use mix (especially measured at the 2 km and 5 km scale)significantly affects ATDs, supporting the importance of land use mix in decreasing daily travel distances. No significant relationship is found between ATDs and distances to the nearest subsidiary center (DSCs), while the employment/entertainment-residence balance has a marginal effect on ATDs at relatively large spatial scales (i.e. 2 km, 5 km). Consequently, with respect to reducing the ATDs, we recommend enhancing land use mix and reducing the imbalance between employment/entertainment and residence at larger spatial scales. Potential applications and future research directions are discussed. The findings in the present paper are helpful for guiding urban planning and policy making.},

keywords = {Average travel distance, Land use mix, Metro, Quantile regression, Smart card data, Spatial scale},

pubstate = {published},

tppubtype = {article}

}

@article{Jiang2019,

title = {Intention to move in renovated historical blocks in China},

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

doi = {10.1007/s10901-018-9608-3},

issn = {15737772},

year  = {2019},

date = {2019-01-01},

journal = {Journal of Housing and the Built Environment},

volume = {34},

issue = {1},

abstract = {Using data from 8 renovated historical blocks in China, the influence of social-demographic characteristics and residential satisfaction on the intention to move is analysed using multinomial logit models. To explore the observed and unobserved heterogeneity among individuals, a mixed logit model was adopted. The model results indicate that older residents and residents who live in blocks during the middle renovation stage are less interested in relocating. Higher residential satisfaction will lead to a lower intention to move house, and housing satisfaction and satisfaction with the living environment have a higher impact compared with satisfaction related to other residential dimensions. Moreover, the interaction between neighbourhood satisfaction and renovation stages was found influential, while the unobserved taste variation between residents was not identified.},

keywords = {China, Heterogeneity, Intention to move, Renovated historical block, Residential satisfaction},

pubstate = {published},

tppubtype = {article}

}

@article{Feng2019,

title = {Integrated imputation of activity-travel diaries incorporating the measurement of uncertainty},

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

doi = {10.1080/03081060.2019.1576384},

issn = {10290354},

year  = {2019},

date = {2019-01-01},

journal = {Transportation Planning and Technology},

volume = {42},

issue = {3},

abstract = {Procedures to transform GPS tracks into activity-travel diaries have been increasingly addressed due to their potential benefit to replace traditional methods used in travel surveys. Existing approaches for data annotation however are not sufficiently accurate, which normally involves a prompted recall survey for data validation. Imputation algorithms for transportation mode detection seem to be largely dependent on speed-related features, which may blur the quality of classification results, especially with transportation modes having similar speeds. Therefore, in this paper we propose an enhanced integrated imputation approach by incorporating the critical indicators related to trip patterns, reflecting the effects of uncertain travel environments, including bus stops and speed percentiles. A two-step procedure which embeds a segmentation model and a transportation mode inference model is designed and examined based on purified prompted recall data collected in a large-scale travel survey. Results show the superior performance of the proposed approach, where the overall accuracy at trip level reaches 93.2% and 88.1% for training and surveyed data, respectively.},

keywords = {Activity-travel diary, GPS, imputation, travel survey, trip patterns, uncertainty},

pubstate = {published},

tppubtype = {article}

}

@article{Peng2019b,

title = {A path analysis of outdoor comfort in urban public spaces},

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

doi = {10.1016/j.buildenv.2018.11.023},

issn = {03601323},

year  = {2019},

date = {2019-01-01},

journal = {Building and Environment},

volume = {148},

abstract = {Research on outdoor comfort generally focuses on the thermal sensation as a substitute for actual comfort. The assessment of outdoor comfort, however, is complex in nature because it involves various contextual settings in open spaces, individuals' social demographics, and psychological factors. In contributing to the existing literature, this study attempts to extend the modelling framework of outdoor comfort assessment by incorporating physical microclimate, spatial contexts, social demographics and individuals' subjective perceptions, expectations and preferences. A path analysis is conducted to capture the direct and indirect effects of various factors on comfort using the data collected in a field experiment. Results show that the causal dependency, which is normally simplified in existing studies, can be better illustrated with the indirect effects through mediators. The use of objective indicators and individuals’ subjective factors are fundamental to adequately capture the actual comfort in urban public spaces.},

keywords = {Indirect effects, Outdoor activity, Outdoor comfort, Psychological factors, Thermal sensation},

pubstate = {published},

tppubtype = {article}

}

@article{Luo2019,

title = {Research on the co-opetition between high speed rail and civil aviation based on two stage game model},

author = {J. Luo and H. Kuang and T. Feng and D. Song},

doi = {10.12011/1000-6788-2018-0154-15},

issn = {10006788},

year  = {2019},

date = {2019-01-01},

journal = {Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice},

volume = {39},

issue = {1},

abstract = {This paper proposes a competition and cooperation relationship model between high-speed rail and air transport based on the two-stage game theory. Firstly, it builds a one dimensional evolutionary game model from the perspective of passengers to calculate the best competition range. Then, it builds a competition and cooperation relationship model between high-speed rail and air transport from the perspective of price based on Cournot game theory. Finally, it uses the Bertrand game theory to apply the model through a distance perspective, and discusses the competition and cooperation between high-speed rail and air transport in order to find a scientific strategy to achieve a win-win situation. The results show that a distance range of 650 km ∼ 850 km is the most intense competition area between air transport and high-speed rail. With the increase of transportation distance, the game strategy of air transport changes from cooperation to competition. On the contrary, the strategy of high-speed rail changes from competition to cooperation.},

keywords = {Bertrand game, Co-opetition, Cournot game, High-speed rail and civil aviation, The two-stage game model},

pubstate = {published},

tppubtype = {article}

}

@article{Gan2019c,

title = {Exploring the effects of car ownership and commuting on subjective well-being: A nationwide questionnaire study},

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

doi = {10.3390/su11010084},

issn = {20711050},

year  = {2019},

date = {2019-01-01},

journal = {Sustainability (Switzerland)},

volume = {11},

issue = {1},

abstract = {How and to what extent household car ownership and commuting behavior affect individual subjective well-being (SWB) is of great interest for urban and transportation planning. Increasing attention has been paid to the associations between car ownership, commuting and SWB. However, only a limited number of studies examined the effects of travel-related factors on both cognitive and affective SWB aspects. This research empirically investigated the relationships from the two SWB aspects. Furthermore, we extend the modeling of generic cognitive SWB to several specific measures (e.g., satisfaction with life compared to a specific group of people, degree of free choice, social position, and social equality) to explore how car ownership and commuting behavior contribute to individual SWB. Drawing on the data derived from the 2014 China Labor-Force Dynamics Survey, a set of ordered probit models based on Bayesian inference are estimated. The findings point out that household car ownership has a significant effect on cognitive SWB but a limited influence on affective SWB. It appears that commuting time is significantly and negatively associated with individuals' cognitive and affective well-being, whereas a positive correlation is found between the commuting by bicycle and affective SWB. The effects of commuting time and transportation modes on different measured satisfactions with life have no big differences. Finally, results of the Wald tests indicate that incorporating household car ownership and commuting behavior into the modeling framework can significantly improve the prediction accuracy of individual SWB.},

keywords = {China, Commuting, Life satisfaction, Negative emotions, Ordered probit model},

pubstate = {published},

tppubtype = {article}

}

@article{Luo2019b,

title = {基于两阶段博弈模型的高铁民航竞合关系研究},

author = {Jiaqi Luo and Haibo Kuang and Tao Feng and Dongping Song},

doi = {10.12011/1000-6788-2018-0154-15},

issn = {1000-6788},

year  = {2019},

date = {2019-01-01},

journal = {Xitong Gongcheng Lilun yu Shijian},

volume = {39},

issue = {1},

pages = {150-164},

publisher = {Zhongguo Xitong Gongcheng Xuehui},

abstract = {This paper proposes a competition and cooperation relationship model between high-speed rail and air transport based on the two-stage game theory. Firstly, it builds a one dimensional evolutionary game model from the perspective of passengers to calculate the best competition range. Then, it builds a competition and cooperation relationship model between high-speed rail and air transport from the perspective of price based on Cournot game theory. Finally, it uses the Bertrand game theory to apply the model through a distance perspective, and discusses the competition and cooperation between high-speed rail and air transport in order to find a scientific strategy to achieve a win-win situation. The results show that a distance range of 650 km ∼ 850 km is the most intense competition area between air transport and high-speed rail. With the increase of transportation distance, the game strategy of air transport changes from cooperation to competition. On the contrary, the strategy of high-speed rail changes from competition to cooperation.},

keywords = {Bertrand game, Co-opetition, Cournot game, High-speed rail and civil aviation, The two-stage game model},

pubstate = {published},

tppubtype = {article}

}

@article{Zhang2018,

title = {A review of urban energy systems at building cluster level incorporating renewable-energy-source (RES) envelope solutions},

author = {X. Zhang and M. Lovati and I. Vigna and J. Widén and M. Han and C. Gal and T. Feng},

doi = {10.1016/j.apenergy.2018.09.041},

issn = {03062619},

year  = {2018},

date = {2018-01-01},

journal = {Applied Energy},

volume = {230},

abstract = {The emergence of renewable-energy-source (RES) envelope solutions, building retrofit requirements and advanced energy technologies brought about challenges to the existing paradigm of urban energy systems. It is envisioned that the building cluster approach—that can maximize the synergies of RES harvesting, building performance, and distributed energy management—will deliver the breakthrough to these challenges. Thus, this paper aims to critically review urban energy systems at the cluster level that incorporate building integrated RES solutions. We begin with defining cluster approach and the associated boundaries. Several factors influencing energy planning at cluster scale are identified, while the most important ones are discussed in detail. The closely reviewed factors include RES envelope solutions, solar energy potential, density of buildings, energy demand, integrated cluster-scale energy systems and energy hub. The examined categories of RES envelope solutions are (i) the solar power, (ii) the solar thermal and (iii) the energy-efficient ones, out of which solar energy is the most prevalent RES. As a result, methods assessing the solar energy potentials of building envelopes are reviewed in detail. Building density and the associated energy use are also identified as key factors since they affect the type and the energy harvesting potentials of RES envelopes. Modelling techniques for building energy demand at cluster level and their coupling with complex integrated energy systems or an energy hub are reviewed in a comprehensive way. In addition, the paper discusses control and operational methods as well as related optimization algorithms for the energy hub concept. Based on the findings of the review, we put forward a matrix of recommendations for cluster-level energy system simulations aiming to maximize the direct and indirect benefits of RES envelope solutions. By reviewing key factors and modelling approaches for characterizing RES-envelope-solutions-based urban energy systems at cluster level, this paper hopes to foster the transition towards more sustainable urban energy systems.},

keywords = {Building cluster, Energy hub, Energy system, Modelling, Optimization, RES},

pubstate = {published},

tppubtype = {article}

}

@article{Wu2018,

title = {Comparative Analysis on Propagation Effects of Flight Delays: A Case Study of China Airlines},

author = {W. Wu and C. -L. Wu and T. Feng and H. Zhang and S. Qiu},

doi = {10.1155/2018/5236798},

issn = {20423195},

year  = {2018},

date = {2018-01-01},

journal = {Journal of Advanced Transportation},

volume = {2018},

abstract = {This paper aims to capture the interdependency among the sequence of flight delays due to airline operations in airports, weather, and air traffic control conditions. A copula function is used to determine the distribution of delay sequence and examine the propagation effects. Using the actual data sourced from an airline in Asia Pacific region, it is found that flight delays could propagate to downstream airports/airlines, where the strength of delays was decreased, passed on, or increased. Considering the possible effects of increased delays under air traffic control or airline factors, scenarios that adjust flight schedules with additional buffer time were created and analyzed. Results show that, by adding buffer time efficiently, flight schedules can become more reliable.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Feng2018,

title = {Measurement and evaluation of transport network performance: a data driven approach},

author = {T Feng and Q Han},

doi = {10.11175/easts.12.580},

issn = {1881-1124},

year  = {2018},

date = {2018-01-01},

journal = {Journal of the Eastern Asia Society for Transportation Studies},

volume = {12},

pages = {580-597},

abstract = {This paper attempts to propose a method to measure and evaluate the network performance by identifying regions with serious mismatch problems between travel demand and transport network services. Performance measures that include temporal, spatial and travel time reliability are generated from travel information in the form of GPS data. Results show that the proposed approach produces better and more accurate results than the ones in the literature. The results of standard deviation and coefficient variation of the identified regions based on the variation of average speed, travel time, and the amount of trips yield a higher reliability for the proposed approach.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yao2018,

title = {Machine learning in automotive industry},

author = {Baozhen Yao and Tao Feng},

doi = {10.1177/1687814018805787},

issn = {1687-8140},

year  = {2018},

date = {2018-01-01},

journal = {Advances in Mechanical Engineering},

volume = {10},

issue = {10},

pages = {1-2},

publisher = {SAGE Publications Ltd},

abstract = {Not available.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jiang2017,

title = {A gap-theoretical path model of residential satisfaction and intention to move house applied to renovated historical blocks in two Chinese cities},

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

doi = {10.1016/j.cities.2017.06.021},

issn = {02642751},

year  = {2017},

date = {2017-01-01},

journal = {Cities},

volume = {71},

abstract = {Using data from eight historical blocks in two selected Chinese cities, this article presents the results of a path model, which captures both the direct and indirect relationships between social-demographics, residential satisfaction and intention to move. Using a gap theoretical framework, results of the path analysis suggest that the intention to move house is significantly and negatively affected by residential satisfaction. In turn, residential satisfaction is significantly influenced by the gap between aspired and actual housing and environmental attributes, proportional to aspiration level. Additionally, the intention to move house and the residential gap are influenced by a set of physical and social-demographical profiles. Residents who rent a house have a lower intention to move, while people living in historical blocks that are at the early renovation stage have a higher propensity to move. Among the various social demographical variables, age is found to be the most influential one, showing that older inhabitants have a lower intention to move house than younger inhabitants.},

keywords = {Intention to move, Path analysis, Residential satisfaction},

pubstate = {published},

tppubtype = {article}

}

@article{Lu2017,

title = {An integrated Markov decision process and nested logit consumer response model of air ticket pricing},

author = {J. Lu and T. Feng and H. Timmermans and Z. Yang},

doi = {10.1080/23249935.2017.1306727},

issn = {23249943},

year  = {2017},

date = {2017-01-01},

journal = {Transportmetrica A: Transport Science},

volume = {13},

issue = {6},

abstract = {The paper attempts to propose an optimal air ticket pricing model during the booking horizon by taking into account passengers' purchasing behavior of air tickets. A Markov decision process incorporating a nested logit consumer response model is established to modeling the dynamic pricing process. The proposed model is estimated and applied using the data collected in a multi-airport region with competition in China. Results indicate that, by considering air ticket purchasing behavior, air ticket price can be set dynamically and optically in response to the changes in exogenous factors which are not controlled by airlines.},

keywords = {air ticket purchasing behavior, Markov decision process, multi-airport area, nested logit model, Pricing strategy},

pubstate = {published},

tppubtype = {article}

}

@article{Jiang2017b,

title = {Evolution trends of the network structure of Spring Airlines in China: A temporal and spatial analysis},

author = {Y. Jiang and B. Yao and L. Wang and T. Feng and L. Kong},

doi = {10.1016/j.jairtraman.2016.12.009},

issn = {09696997},

year  = {2017},

date = {2017-01-01},

journal = {Journal of Air Transport Management},

volume = {60},

abstract = {Both the sustainable development of China's economy and the deregulation of the China air transport market have acted as a spur for the halting development of low-cost carriers (LCCs) in China. To analyze the development trends of LCCs' network in China, this paper took Spring Airlines, the only LCC in China as an example. First, the winter flight plans of Spring Airlines from 2005 to 2013 were collected. Secondly, the development trends of air transport network of Spring Airlines were explored with methods of mathematical statistics and social network analysis. Additionally, the development trends were analyzed from the levels of navigable cities, air routes and air transport networks. The results show that although Spring Airlines actively launched air routes between tourist cities with non-class I airports, its network has been transformed from a star structure into a complex one with multi-hubs. The development process of the Spring Airlines network can be separated into three stages. In addition, the problems and evolution trends of its network are discussed further.},

keywords = {Air transport network, Low-cost carriers, Spring airlines, Temporal and spatial analysis},

pubstate = {published},

tppubtype = {article}

}

@article{Feng2016,

title = {Comparison of advanced imputation algorithms for detection of transportation mode and activity episode using GPS data},

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

doi = {10.1080/03081060.2015.1127540},

issn = {10290354},

year  = {2016},

date = {2016-01-01},

journal = {Transportation Planning and Technology},

volume = {39},

issue = {2},

abstract = {Global Positioning System (GPS) technologies have been increasingly considered as an alternative to traditional travel survey methods to collect activity-travel data. Algorithms applied to extract activity-travel patterns vary from informal ad-hoc decision rules to advanced machine learning methods and have different accuracy. This paper systematically compares the relative performance of different algorithms for the detection of transportation modes and activity episodes. In particular, naive Bayesian, Bayesian network, logistic regression, multilayer perceptron, support vector machine, decision table, and C4.5 algorithms are selected and compared for the same data according to their overall error rates and hit ratios. Results show that the Bayesian network has a better performance than the other algorithms in terms of the percentage correctly identified instances and Kappa values for both the training data and test data, in the sense that the Bayesian network is relatively efficient and generalizable in the context of GPS data imputation.},

keywords = {activity-travel data, Bayesian network, classification algorithm, data imputation, decision tree, Global Positioning System (GPS), rules, travel survey},

pubstate = {published},

tppubtype = {article}

}

@article{Feng2015,

title = {Detecting activity type from gps traces using spatial and temporal information},

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

url = {https://journals.open.tudelft.nl/ejtir/article/view/3103},

doi = {10.18757/ejtir.2015.15.4.3103},

issn = {15677141},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {European Journal of Transport and Infrastructure Research},

volume = {15},

issue = {4},

abstract = {Detecting activity types from GPS traces has been important topic in travel surveys. Compared to inferring transport mode, existing methods are still relatively inaccurate in detecting activity types due to the simplicity of their assumptions and/or lack of background information. To reduce this gap, this paper reports the results of an endeavour to infer activity type by incorporating both spatial information and aggregated temporal information. Three machine learning algorithms, Bayesian belief network, decision tree and random forest, are used to investigate the performance of these approaches in detecting activity types. The test is based on GPS traces and prompted recall data, collected in the Rijnmond region, The Netherlands. Results show that the random forest model has the highest accuracy. The model incorporating spatial and temporal information can predict activity types with an accuracy of 96.8% for the used dataset. These findings are expected to benefit research on the use of GPS technology to collect activity-travel diary data.},

keywords = {Activity type, GPS, Random forest},

pubstate = {published},

tppubtype = {article}

}

@article{Wang2015,

title = {Research on urban road congestion pricing strategy considering carbon dioxide emissions},

author = {Y. Wang and Z. Peng and K. Wang and X. Song and B. Yao and T. Feng},

doi = {10.3390/su70810534},

issn = {20711050},

year  = {2015},

date = {2015-01-01},

journal = {Sustainability (Switzerland)},

volume = {7},

issue = {8},

abstract = {Congestion pricing strategy has been recognized as an effective countermeasure in the practical field of urban traffic congestion mitigation. In this paper, a bi-level programming model considering carbon dioxide emission is proposed to mitigate traffic congestion and reduce carbon dioxide emissions. The objective function of the upper level model is to minimize the sum of travel costs and the carbon dioxide emissions costs. The lower level is a multi-modal transportation network equilibrium model. To solve the model, the method of successive averages (MSA) and the shuffled frog leaping algorithm (SFLA) are introduced. The proposed method and algorithm are tested through the numerical example. The results show that the proposed congestion pricing strategy can mitigate traffic congestion and reduce carbon emissions effectively.},

keywords = {Bi-level programming model, Carbon dioxide emissions, Shuffled frog leaping algorithm (SFLA), Traffic congestion pricing},

pubstate = {published},

tppubtype = {article}

}

@article{Feng2015c,

title = {Enhanced imputation of GPS traces forcing full or partial consistency in activity-travel sequences : comparison of algorithms},

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

doi = {10.3141/2430-03},

issn = {0361-1981},

year  = {2015},

date = {2015-01-01},

journal = {Transportation Research Record},

volume = {2430},

pages = {20-27},

publisher = {US National Research Council},

abstract = {Imputation of activity-travel sequences from global positioning system (GPS) data is dominantly based on epoch-level characteristic and land use data. This study shows that the accuracy of GPS data imputation can be improved by enforcing consistencies in transportation mode use across the day. In particular, this paper proposes a new algorithm to reduce misclassification error in imputed activity-travel diaries. The suggested algorithm identifies a hierarchical set of tours and superimposes logically consistent transportation modes at the tour-level. Three different methods, which keep some degree of consistency while allowing different transportation modes within a tour, are examined. Method I identifies the most probable transportation mode for each trip episode separately, and then compares the modes across all segments of the tour. Method II selects the most probable mode across the whole travel episode. Method III selects the most likely main mode in the intermediate portion of a tour as the mode in all trip segments. All methods impute transportation mode based on the highest number of epochs for which the predicted probability of that mode is highest. The algorithm was examined using GPS data recently collected in the Netherlands. Results show that the new algorithm significantly improves imputation accuracy of transportation modes. The enhanced algorithm, which partly relaxes the strict assumption of consistency, yields results even closer to reality.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Feng2014,

title = {Superimposing activity–travel sequence conditions on GPS data imputation},

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

doi = {10.1080/17489725.2014.977361},

issn = {17489733},

year  = {2014},

date = {2014-01-01},

journal = {Journal of Location Based Services},

volume = {8},

issue = {4},

abstract = {Applications of new technology in travel surveys have demonstrated the possibility to obtain good quality activity data than traditional survey methods. However, the quality of the imputation diary data highly depends on the predictability of data processing algorithms, which are not fully ready yet. Narrowing the gap between imputation results and true activity–travel patterns is necessary to improve the ease of data confirmation in prompted recall surveys and develop fully automatic data imputation systems. This paper proposes an algorithm to decrease the discrepancies between imputed activity–travel diary and the so-called ground truth. Based on the activity–travel pattern obtained using a Bayesian belief network model, the algorithm takes into account the consistency of the full activity–travel pattern within a day in the sense that the activity–travel sequence is represented in terms of a hierarchical set of tours, and the transportation modes within a tour are logically consistent. We explore three different approaches based on the frequency at the trip/tour level and imputation probability at the epoch level, for each transportation mode. Results obtained based on the test using GPS data in the Netherlands show that the new algorithm significantly improves the imputation accuracy of transportation modes compared with an algorithm that does superimpose these pattern constraints.},

keywords = {Bayesian belief network, imputation algorithm, prompted recall},

pubstate = {published},

tppubtype = {article}

}