2012
Arentze, T.; Feng, T.; Robroeks, J.; Brakel, M.; Huibers, R.
Compliance with and influence of a new in-car navigation system for trucks: Results of a field test Journal Article
In: Transport Policy, vol. 23, 2012, ISSN: 0967070X.
Abstract | Links | BibTeX | PlumX
@article{Arentze2012b,
title = {Compliance with and influence of a new in-car navigation system for trucks: Results of a field test},
author = {T. Arentze and T. Feng and J. Robroeks and M. Brakel and R. Huibers},
doi = {10.1016/j.tranpol.2012.06.011},
issn = {0967070X},
year = {2012},
date = {2012-01-01},
journal = {Transport Policy},
volume = {23},
abstract = {The use of in-car navigation systems has rapidly grown over the last years. For freight transport, the emphasis on fastest routes is not always in the interest of the truck driver and causes negative externalities when the routes run through built-up area. This paper reports the results of a field test that was conducted to test a new navigation system for trucks. A sample of 100 truck drivers participated in the experiment where they used the new system first in a tracking mode only and next in a full navigation mode for a period of two and a half months in total. During this period drivers kept a diary where they indicated the times and reasons why they deviated from routes suggested by the system. We analyze the diary data and GPS data logged by the system to investigate compliance with and influence of the new navigation system on route choice. The results suggest that the new navigation system for trucks has significant impacts on routes, the most important of which is a shift from use of smaller roads towards larger roads with beneficial consequences in terms of both efficiency and environment. Deviation from suggested routes occurs relatively frequently and for different reasons by drivers of heavy and lighter trucks. We conclude that development of dedicated navigation systems for trucks would serve the interest of the freight transport sector and quality of environment at the same time and more so when route advice is differentiated between heavy and lighter transport. © 2012 Elsevier Ltd.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The use of in-car navigation systems has rapidly grown over the last years. For freight transport, the emphasis on fastest routes is not always in the interest of the truck driver and causes negative externalities when the routes run through built-up area. This paper reports the results of a field test that was conducted to test a new navigation system for trucks. A sample of 100 truck drivers participated in the experiment where they used the new system first in a tracking mode only and next in a full navigation mode for a period of two and a half months in total. During this period drivers kept a diary where they indicated the times and reasons why they deviated from routes suggested by the system. We analyze the diary data and GPS data logged by the system to investigate compliance with and influence of the new navigation system on route choice. The results suggest that the new navigation system for trucks has significant impacts on routes, the most important of which is a shift from use of smaller roads towards larger roads with beneficial consequences in terms of both efficiency and environment. Deviation from suggested routes occurs relatively frequently and for different reasons by drivers of heavy and lighter trucks. We conclude that development of dedicated navigation systems for trucks would serve the interest of the freight transport sector and quality of environment at the same time and more so when route advice is differentiated between heavy and lighter transport. © 2012 Elsevier Ltd.
Dane, G Z; Feng, T; Timmermans, H J P
Leisure travel distance of elderly population : the case of the Netherlands Proceedings Article
In: 2012.
@inproceedings{Dane2012,
title = {Leisure travel distance of elderly population : the case of the Netherlands},
author = {G Z Dane and T Feng and H J P Timmermans},
year = {2012},
date = {2012-01-01},
journal = {Presentation at the International Conference on Aging, Mobility and Quality of Life, 24-26 June, 2012, Michigan, USA},
abstract = {The population of the Netherlands is getting older. These changes in population cause new challenges in understanding the needs of elderly such as mobility. Mobility is a significant aspect of the elderlys quality of life since it provides them the means to reach the services, fulfilling their needs. Moreover, elderly have more leisure time as they do not work. Conducting leisure activities also increases the elderlys quality of life and this in turn causes more travel. This paper examines travel distance for leisure activities while focusing on different age groups. Analysis are carried out by applying seemingly unrelated regression analysis on a national continuous leisure time data set collected in 2008 in the Netherlands. The results indicate that there are significant effects of age, gender, social class, household composition, urban density, day of week, time of the day, activity type, transport mode, travel party, duration and expenditure on travel distance of the elderly sample.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The population of the Netherlands is getting older. These changes in population cause new challenges in understanding the needs of elderly such as mobility. Mobility is a significant aspect of the elderlys quality of life since it provides them the means to reach the services, fulfilling their needs. Moreover, elderly have more leisure time as they do not work. Conducting leisure activities also increases the elderlys quality of life and this in turn causes more travel. This paper examines travel distance for leisure activities while focusing on different age groups. Analysis are carried out by applying seemingly unrelated regression analysis on a national continuous leisure time data set collected in 2008 in the Netherlands. The results indicate that there are significant effects of age, gender, social class, household composition, urban density, day of week, time of the day, activity type, transport mode, travel party, duration and expenditure on travel distance of the elderly sample.
Feng, T; Timmermans, H J P
Recognition of transport mode using GPS and accelerometer data Proceedings Article
In: 2012.
@inproceedings{Feng2012,
title = {Recognition of transport mode using GPS and accelerometer data},
author = {T Feng and H J P Timmermans},
year = {2012},
date = {2012-01-01},
journal = {Proceedings of the 13th International Conference on Travel Behavior Research (IATBR 2012), July 14-20 2012, Toronto, Canada},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Arentze, T A; Feng, T; Timmermans, H J P; Robroeks, J
In: Transportation, vol. 39, iss. 6, pp. 1173-1188, 2012, ISSN: 0049-4488.
Abstract | Links | BibTeX | PlumX
@article{Arentze2012c,
title = {Context-dependent influence of road attributes and pricing policies on route choice behavior of truck drivers : results of a conjoint choice experiment},
author = {T A Arentze and T Feng and H J P Timmermans and J Robroeks},
doi = {10.1007/s11116-012-9391-z},
issn = {0049-4488},
year = {2012},
date = {2012-01-01},
journal = {Transportation},
volume = {39},
issue = {6},
pages = {1173-1188},
publisher = {Springer},
abstract = {In this paper, we report the results of a stated choice experiment, which was conducted to examine truck drivers route choice behavior. Of particular interest are the questions (i) what is the relative importance of road accessibility considerations via-a-vis traditional factors influencing route choice behavior, (ii) what are the influences of particular personal and situational variables on the evaluation of route attributes, (iii) how sensitive are truck drivers for possible pricing policies, and (iv) is there a difference in impact if environmental concerns are framed as a bonus or as a pricing instrument. The main findings indicate that road accessibility characteristics have a substantial impact on route preferences which is of the same order of magnitude as variation in travel times. This suggests that provision of adequate travel information in itself can be an effective instrument to prevent negative externalities of good transport associated with shortest routes. Furthermore, the results indicate that truck drivers/route planners when choosing a route are relatively sensitive to road pricing schemes and rather insensitive to environmental bonuses.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this paper, we report the results of a stated choice experiment, which was conducted to examine truck drivers route choice behavior. Of particular interest are the questions (i) what is the relative importance of road accessibility considerations via-a-vis traditional factors influencing route choice behavior, (ii) what are the influences of particular personal and situational variables on the evaluation of route attributes, (iii) how sensitive are truck drivers for possible pricing policies, and (iv) is there a difference in impact if environmental concerns are framed as a bonus or as a pricing instrument. The main findings indicate that road accessibility characteristics have a substantial impact on route preferences which is of the same order of magnitude as variation in travel times. This suggests that provision of adequate travel information in itself can be an effective instrument to prevent negative externalities of good transport associated with shortest routes. Furthermore, the results indicate that truck drivers/route planners when choosing a route are relatively sensitive to road pricing schemes and rather insensitive to environmental bonuses.
Feng, T; Arentze, T A; Timmermans, H J P
Spatial environmental analysis on the effects of a new navigation system for freight transport Journal Article
In: Procedia : Social and Behavioral Sciences, vol. 54, pp. 589-597, 2012, ISSN: 1877-0428.
Abstract | Links | BibTeX | PlumX
@article{Feng2012b,
title = {Spatial environmental analysis on the effects of a new navigation system for freight transport},
author = {T Feng and T A Arentze and H J P Timmermans},
doi = {10.1016/j.sbspro.2012.09.776},
issn = {1877-0428},
year = {2012},
date = {2012-01-01},
journal = {Procedia : Social and Behavioral Sciences},
volume = {54},
pages = {589-597},
publisher = {Elsevier},
abstract = {Considerable attention has been paid to traffic pollution modeling for commercial vehicles due to their high amount of nitrogen compounds, particulate matter and greenhouse gas emissions. Conventional navigation systems for passenger cars enable the route choice process. However, commercial route guidance systems are not targeted to trucks specifically. Recently, a new navigation system has been designed to match the specific requirements of commercial vehicles. The purpose of this paper is to evaluate the effects of such a navigation system on the spatial environment. The major emissions varied by nitrogen compounds and particulate matters are approximated for hot emissions. Emissions on the fastest route and the suggested route followed by drivers are investigated respectively. Spatial analysis is used to investigate the influence on built-up areas along the routes, and a regression analysis is conducted to specify the effects of the new navigation information on total emissions. It is found that the new navigation system has a significant positive effect on the improvement of traffic emissions. The routes suggested by the new navigation system lead to less impact on the built-up areas than the shortest paths.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Considerable attention has been paid to traffic pollution modeling for commercial vehicles due to their high amount of nitrogen compounds, particulate matter and greenhouse gas emissions. Conventional navigation systems for passenger cars enable the route choice process. However, commercial route guidance systems are not targeted to trucks specifically. Recently, a new navigation system has been designed to match the specific requirements of commercial vehicles. The purpose of this paper is to evaluate the effects of such a navigation system on the spatial environment. The major emissions varied by nitrogen compounds and particulate matters are approximated for hot emissions. Emissions on the fastest route and the suggested route followed by drivers are investigated respectively. Spatial analysis is used to investigate the influence on built-up areas along the routes, and a regression analysis is conducted to specify the effects of the new navigation information on total emissions. It is found that the new navigation system has a significant positive effect on the improvement of traffic emissions. The routes suggested by the new navigation system lead to less impact on the built-up areas than the shortest paths.
2011
Feng, T; Moiseeva, A; Timmermans, H J P
Processing of national travel survey GPS pilot data : a technical report prepared for the Department for Transport Technical Report
2011.
@techreport{Feng2011,
title = {Processing of national travel survey GPS pilot data : a technical report prepared for the Department for Transport},
author = {T Feng and A Moiseeva and H J P Timmermans},
url = {https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/230562/Processing_of_NTS_GPS_Pilot_Data_a_technical_report.pdf},
year = {2011},
date = {2011-01-01},
urldate = {2011-01-01},
publisher = {NTS Publications},
abstract = {1.1 In November 2010, the National Centre for Social Research (NatCen)
contracted Eindhoven University of Technology to undertake GPS data processing
for a pilot of the National Travel Survey (NTS) for Great Britain, which used
accelerometer equipped Global Positioning System (GPS) devices to collect
personal travel data to replace the paper travel diary.
1.2 This report presents the background, technical details and application results
of the data processing stage of the NTS GPS pilot project. It documents the
development and application of a tool, called TraceAnnotator - developed by the
team to process (semi-)automatically multi-day GPS traces - which was then applied
to the data collected by NatCen. During this work we further improved our algorithms
by increasing complexity and identifying specific conditions, or even by visual
inspection and manual correction.
1.3 Details on the data collection and further background to this pilot project
conducted for the Department for Transport (Great Britain) can be found in the
National Travel Survey 2011 GPS Pilot Field Report, by Josi Rofique, Alun
Humphrey and Caroline Killpack (NatCen, August 2011)1.
1.4 The key requirements of the tasks described in this report were to:
Input into designing new questions for the NTS placement/pick-up
interviews to aid data processing;
Process data – including the matching of GPS data to interview data
and Geographic Information System (GIS) data, and
Technical documentation of the data processing.
1.5 We were required to clean and process the data into trip and trip stages and
the infer mode and purpose of journey. Outputs were also to include the journey start
and end point and the length of the journey (distance and time).
1.6 The GPS data were collected for 874 respondents aged 12 or more during the
seven day travel week that followed the NTS pilot survey, alongside additional
information collected during the CAPI placement and pick-up interviews to assist
data processing. Data was collected using the MGEData Mobitest GSL
accelerometer- equipped GPS device2. Questions were added to the standard NTS
interviews on personal points of interest (schools, work, gym, supermarkets etc),details of when respondents failed to charge or carry their devices, and where
atypical, the respondent’s hours of work.
1.7 A number of amendments were made to the existing TraceAnnotator system
to process the NTS GPS data. Development work was done to use the
accelerometer traces to infer transport modes and link the resulting algorithm to the
TraceAnnotator system. Some key variables had to be estimated as devices were
not set-up correctly; requiring further adjustment and the nature of some of the
training data also required additional adjustments.},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
1.1 In November 2010, the National Centre for Social Research (NatCen)
contracted Eindhoven University of Technology to undertake GPS data processing
for a pilot of the National Travel Survey (NTS) for Great Britain, which used
accelerometer equipped Global Positioning System (GPS) devices to collect
personal travel data to replace the paper travel diary.
1.2 This report presents the background, technical details and application results
of the data processing stage of the NTS GPS pilot project. It documents the
development and application of a tool, called TraceAnnotator – developed by the
team to process (semi-)automatically multi-day GPS traces – which was then applied
to the data collected by NatCen. During this work we further improved our algorithms
by increasing complexity and identifying specific conditions, or even by visual
inspection and manual correction.
1.3 Details on the data collection and further background to this pilot project
conducted for the Department for Transport (Great Britain) can be found in the
National Travel Survey 2011 GPS Pilot Field Report, by Josi Rofique, Alun
Humphrey and Caroline Killpack (NatCen, August 2011)1.
1.4 The key requirements of the tasks described in this report were to:
Input into designing new questions for the NTS placement/pick-up
interviews to aid data processing;
Process data – including the matching of GPS data to interview data
and Geographic Information System (GIS) data, and
Technical documentation of the data processing.
1.5 We were required to clean and process the data into trip and trip stages and
the infer mode and purpose of journey. Outputs were also to include the journey start
and end point and the length of the journey (distance and time).
1.6 The GPS data were collected for 874 respondents aged 12 or more during the
seven day travel week that followed the NTS pilot survey, alongside additional
information collected during the CAPI placement and pick-up interviews to assist
data processing. Data was collected using the MGEData Mobitest GSL
accelerometer- equipped GPS device2. Questions were added to the standard NTS
interviews on personal points of interest (schools, work, gym, supermarkets etc),details of when respondents failed to charge or carry their devices, and where
atypical, the respondent’s hours of work.
1.7 A number of amendments were made to the existing TraceAnnotator system
to process the NTS GPS data. Development work was done to use the
accelerometer traces to infer transport modes and link the resulting algorithm to the
TraceAnnotator system. Some key variables had to be estimated as devices were
not set-up correctly; requiring further adjustment and the nature of some of the
training data also required additional adjustments.
contracted Eindhoven University of Technology to undertake GPS data processing
for a pilot of the National Travel Survey (NTS) for Great Britain, which used
accelerometer equipped Global Positioning System (GPS) devices to collect
personal travel data to replace the paper travel diary.
1.2 This report presents the background, technical details and application results
of the data processing stage of the NTS GPS pilot project. It documents the
development and application of a tool, called TraceAnnotator – developed by the
team to process (semi-)automatically multi-day GPS traces – which was then applied
to the data collected by NatCen. During this work we further improved our algorithms
by increasing complexity and identifying specific conditions, or even by visual
inspection and manual correction.
1.3 Details on the data collection and further background to this pilot project
conducted for the Department for Transport (Great Britain) can be found in the
National Travel Survey 2011 GPS Pilot Field Report, by Josi Rofique, Alun
Humphrey and Caroline Killpack (NatCen, August 2011)1.
1.4 The key requirements of the tasks described in this report were to:
Input into designing new questions for the NTS placement/pick-up
interviews to aid data processing;
Process data – including the matching of GPS data to interview data
and Geographic Information System (GIS) data, and
Technical documentation of the data processing.
1.5 We were required to clean and process the data into trip and trip stages and
the infer mode and purpose of journey. Outputs were also to include the journey start
and end point and the length of the journey (distance and time).
1.6 The GPS data were collected for 874 respondents aged 12 or more during the
seven day travel week that followed the NTS pilot survey, alongside additional
information collected during the CAPI placement and pick-up interviews to assist
data processing. Data was collected using the MGEData Mobitest GSL
accelerometer- equipped GPS device2. Questions were added to the standard NTS
interviews on personal points of interest (schools, work, gym, supermarkets etc),details of when respondents failed to charge or carry their devices, and where
atypical, the respondent’s hours of work.
1.7 A number of amendments were made to the existing TraceAnnotator system
to process the NTS GPS data. Development work was done to use the
accelerometer traces to infer transport modes and link the resulting algorithm to the
TraceAnnotator system. Some key variables had to be estimated as devices were
not set-up correctly; requiring further adjustment and the nature of some of the
training data also required additional adjustments.
Feng, T; Arentze, T A; Timmermans, H J P
Instantaneous emission modeling with GPS-based vehicle activity data: results of diesel trucks for one-day trips Journal Article
In: Journal of the Eastern Asia Society for Transportation Studies, vol. 9, pp. 756-771, 2011, ISSN: 1881-1124.
Abstract | Links | BibTeX | PlumX
@article{Feng2011b,
title = {Instantaneous emission modeling with GPS-based vehicle activity data: results of diesel trucks for one-day trips},
author = {T Feng and T A Arentze and H J P Timmermans},
url = {https://www.jstage.jst.go.jp/article/eastpro/2011/0/2011_0_147/_article},
doi = {https://doi.org/10.11175/eastpro.2011.0.147.0},
issn = {1881-1124},
year = {2011},
date = {2011-01-01},
urldate = {2011-01-01},
journal = {Journal of the Eastern Asia Society for Transportation Studies},
volume = {9},
pages = {756-771},
abstract = {This paper presents an instantaneous analysis for traffic emissions using GPS-based vehicle activity data. The different driving conditions, including real-time and average speed, short-time stops and long-time stops, acceleration and deceleration, etc., are extracted from GPS data. The hot emission, cold-start emission and idling emission, varied by nitrogen compounds and particulate matter are calculated, respectively, in terms of the driving condition and vehicle characteristics. Results simulated based on a one-day trip activity dataset show that trucks spend most kilometers on national roads, followed by municipal and provincial roads. The number of short-time stops is significantly higher than long-time stops, and the time spent for long-time stops is higher than short-time duration. The hot emission accounts for the largest proportion of emissions, and the idling emission also contribute substantially. Results of sensitivity analyses indicate that pollutions in urban area from freight transport can be significantly decreased by increasing the vehicle classes and guiding the heavy trucks out of the region.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper presents an instantaneous analysis for traffic emissions using GPS-based vehicle activity data. The different driving conditions, including real-time and average speed, short-time stops and long-time stops, acceleration and deceleration, etc., are extracted from GPS data. The hot emission, cold-start emission and idling emission, varied by nitrogen compounds and particulate matter are calculated, respectively, in terms of the driving condition and vehicle characteristics. Results simulated based on a one-day trip activity dataset show that trucks spend most kilometers on national roads, followed by municipal and provincial roads. The number of short-time stops is significantly higher than long-time stops, and the time spent for long-time stops is higher than short-time duration. The hot emission accounts for the largest proportion of emissions, and the idling emission also contribute substantially. Results of sensitivity analyses indicate that pollutions in urban area from freight transport can be significantly decreased by increasing the vehicle classes and guiding the heavy trucks out of the region.
Feng, T; Arentze, T A; Timmermans, H J P
Assessing the relative importance of input variables for route choice modeling: a neural network approach Journal Article
In: Journal of the Eastern Asia Society for Transportation Studies, vol. 9, pp. 341-353, 2011, ISSN: 1881-1124.
Abstract | Links | BibTeX | PlumX
@article{Feng2011c,
title = {Assessing the relative importance of input variables for route choice modeling: a neural network approach},
author = {T Feng and T A Arentze and H J P Timmermans},
url = {https://www.jstage.jst.go.jp/article/easts/9/0/9_0_341/_article},
doi = {https://doi.org/10.11175/easts.9.341},
issn = {1881-1124},
year = {2011},
date = {2011-01-01},
urldate = {2011-01-01},
journal = {Journal of the Eastern Asia Society for Transportation Studies},
volume = {9},
pages = {341-353},
abstract = {This paper identifies the relative importance of variables influencing route choice using a neural network approach. Variables related to route attributes and choice contexts are simultaneously incorporated into the model, and a weight partition algorithm is employed to calculate the strength of influence on route choice decisions. The network is trained and validated using stated preference data. Simulation results show good predictability (97.4% of accuracy) of the neural network model. The relative importance of input variables indicates that road category, pricing, bonus and passing through an urban area are more important. Among all choice contexts, the size of truck is most important, followed by travel time difference and road length. The relative importance identified by the neural network model is consistent with the results of a multinomial logit model, and provide meaningful references for variable selection and model estimation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper identifies the relative importance of variables influencing route choice using a neural network approach. Variables related to route attributes and choice contexts are simultaneously incorporated into the model, and a weight partition algorithm is employed to calculate the strength of influence on route choice decisions. The network is trained and validated using stated preference data. Simulation results show good predictability (97.4% of accuracy) of the neural network model. The relative importance of input variables indicates that road category, pricing, bonus and passing through an urban area are more important. Among all choice contexts, the size of truck is most important, followed by travel time difference and road length. The relative importance identified by the neural network model is consistent with the results of a multinomial logit model, and provide meaningful references for variable selection and model estimation.
2010
Feng, T.; Timmermans, H.
Policy decision making for trade-offs between mobility and equity maximization under environmental capacity constraints a case study of an integrated multi-objective model Proceedings Article
In: Timmermans, H.; de Vries, B. (Ed.): 10th International Conference on Design and Decision Support Systems, DDSS, Eindhoven University of Technology 2010, ISBN: 9789068141818.
@inproceedings{Feng2010,
title = {Policy decision making for trade-offs between mobility and equity maximization under environmental capacity constraints a case study of an integrated multi-objective model},
author = {T. Feng and H. Timmermans},
editor = {H. Timmermans and B. de Vries},
url = {https://research.tue.nl/en/publications/design-amp-decision-support-systems-10th-international-conference
},
isbn = {9789068141818},
year = {2010},
date = {2010-01-01},
urldate = {2010-01-01},
booktitle = {10th International Conference on Design and Decision Support
Systems, DDSS},
journal = {10th International Conference on Design and Decision Support Systems, DDSS 2010},
organization = {Eindhoven University of Technology},
abstract = {This paper investigates the trade-offs between mobility and equity maximization under environmental capacity constraints by proposing an integrated model for multi-objective policy decision making. The model specifically deals with two systematic objectives: maximization of mobility and equity, which are respectively formulated by the sum of total car ownership and number of trips, and the difference levels among zonal accessibilities. The environmental capacity constraint is specified based on efficiency theory in which the frontier emission under maximum system efficiency is taken as the capacity. To investigate the performance of the proposed model, three types of hypothetical policies (network improvement, population increase and urban sprawl) are designed and the effects of these policy scenarios are simulated using data of Dalian City, China. Results show that the proposed model can be used for representing the trade-offs between mobility and equity based on different policy interventions. Compaed with two extreme cases with a single objective, mobility maximization and equity maximization, the Pareto-optimal solutions provide more options in practice for decision makers. Taking the solution with the minimum car ownership as an example, the policy of urban sprawl yields the most significant improvement in both emission and accessibility among three scenarios.},
howpublished = {10th International Conference on Design and Decision Support Systems, DDSS},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper investigates the trade-offs between mobility and equity maximization under environmental capacity constraints by proposing an integrated model for multi-objective policy decision making. The model specifically deals with two systematic objectives: maximization of mobility and equity, which are respectively formulated by the sum of total car ownership and number of trips, and the difference levels among zonal accessibilities. The environmental capacity constraint is specified based on efficiency theory in which the frontier emission under maximum system efficiency is taken as the capacity. To investigate the performance of the proposed model, three types of hypothetical policies (network improvement, population increase and urban sprawl) are designed and the effects of these policy scenarios are simulated using data of Dalian City, China. Results show that the proposed model can be used for representing the trade-offs between mobility and equity based on different policy interventions. Compaed with two extreme cases with a single objective, mobility maximization and equity maximization, the Pareto-optimal solutions provide more options in practice for decision makers. Taking the solution with the minimum car ownership as an example, the policy of urban sprawl yields the most significant improvement in both emission and accessibility among three scenarios.
Feng, T.; Zhang, J.; Fujiwara, A.; Timmermans, H. J. P.
In: Transportation Research Part D: Transport and Environment, vol. 15, iss. 5, 2010, ISSN: 13619209.
Abstract | Links | BibTeX | PlumX
@article{Feng2010b,
title = {An integrated model system and policy evaluation tool for maximizing mobility under environmental capacity constraints: A case study in Dalian City, China},
author = {T. Feng and J. Zhang and A. Fujiwara and H. J. P. Timmermans},
doi = {10.1016/j.trd.2010.03.001},
issn = {13619209},
year = {2010},
date = {2010-01-01},
journal = {Transportation Research Part D: Transport and Environment},
volume = {15},
issue = {5},
abstract = {This paper presents an integrated model system for mobility maximization based on a quantified specification of environmental capacity, and evaluates policy interaction and effectiveness by simulating a number of policy scenarios. The system is designed to specify the maximum level of car ownership and number of trips by private and public modes subject to an environmental capacity constraint defined as the frontier emission under maximum system efficiency. Four types of hypothetical policies (population change, urban sprawl, land-use pattern and network improvement) are designed and the effects of 13 policy scenarios are simulated using data of Dalian City, China. Results reveal that the integrated model system reacts sensitively to policy interventions. The urban sprawl reflected in a changing residential distribution from central to suburban areas is most instrumental from the perspective of pollution alleviation. If the goal is to simultaneously reduce emissions while accommodating mobility, two combinational policy scenarios outperform all others. © 2010 Elsevier Ltd.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper presents an integrated model system for mobility maximization based on a quantified specification of environmental capacity, and evaluates policy interaction and effectiveness by simulating a number of policy scenarios. The system is designed to specify the maximum level of car ownership and number of trips by private and public modes subject to an environmental capacity constraint defined as the frontier emission under maximum system efficiency. Four types of hypothetical policies (population change, urban sprawl, land-use pattern and network improvement) are designed and the effects of 13 policy scenarios are simulated using data of Dalian City, China. Results reveal that the integrated model system reacts sensitively to policy interventions. The urban sprawl reflected in a changing residential distribution from central to suburban areas is most instrumental from the perspective of pollution alleviation. If the goal is to simultaneously reduce emissions while accommodating mobility, two combinational policy scenarios outperform all others. © 2010 Elsevier Ltd.
Anggraini, R; Arentze, T A; Timmermans, H J P; Feng, T
Modeling households activity participation decisions in a rule-based system of travel demand Journal Article
In: Journal of the Eastern Asia Society for Transportation Studies, vol. 8, pp. 389-403, 2010, ISSN: 1881-1124.
Abstract | Links | BibTeX | PlumX
@article{Anggraini2010,
title = {Modeling households activity participation decisions in a rule-based system of travel demand},
author = {R Anggraini and T A Arentze and H J P Timmermans and T Feng},
url = {https://www.jstage.jst.go.jp/article/easts/8/0/8_0_389/_article},
doi = {https://doi.org/10.11175/easts.8.389},
issn = {1881-1124},
year = {2010},
date = {2010-01-01},
urldate = {2010-01-01},
journal = {Journal of the Eastern Asia Society for Transportation Studies},
volume = {8},
pages = {389-403},
abstract = {This paper describes an empirical derivation of an activity participation choice model at the household level decisions taking into account the allocated activities and joint activity participation of household heads in discretionary activities. The households that we consider here are two-heads households; each is either a worker or non-worker. Attributes of households, such as, for example the presence of young children, attributes of the work activities and space-time settings are considered as explanatory variables. To deal with this large set of attributes and account for non-linear relationships between the variables, a decision tree induction method – CHAID – is used to derive a decision tree model. We show how the decision tree model can be used as a component in an activity-scheduling model, ALBATROSS, to predict travel demand in an activity-based-micro-simulation system. The model shows a satisfactory performance as indicated by its goodness-of-fit on validation data.},
keywords = {},
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This paper describes an empirical derivation of an activity participation choice model at the household level decisions taking into account the allocated activities and joint activity participation of household heads in discretionary activities. The households that we consider here are two-heads households; each is either a worker or non-worker. Attributes of households, such as, for example the presence of young children, attributes of the work activities and space-time settings are considered as explanatory variables. To deal with this large set of attributes and account for non-linear relationships between the variables, a decision tree induction method – CHAID – is used to derive a decision tree model. We show how the decision tree model can be used as a component in an activity-scheduling model, ALBATROSS, to predict travel demand in an activity-based-micro-simulation system. The model shows a satisfactory performance as indicated by its goodness-of-fit on validation data.
Feng, T; Timmermans, H
Policy decision making for trade-offs between mobility and equity maximization under environmental capacity constraints: a case study of an integrated multi-objective model Proceedings Article
In: Timmermans, H J P; Vries, B (Ed.): Eindhoven University of Technology, 2010, ISBN: 9789068141818, (10th International Conference on Design and Decision Support Systems, (DDSS2010), DDSS2010 ; Conference date: 19-07-2010 Through 22-07-2010).
@inproceedings{Feng2010c,
title = {Policy decision making for trade-offs between mobility and equity maximization under environmental capacity constraints: a case study of an integrated multi-objective model},
author = {T Feng and H Timmermans},
editor = {H J P Timmermans and B Vries},
isbn = {9789068141818},
year = {2010},
date = {2010-01-01},
journal = {10th International Conference on Design and Decision Support Systems, DDSS 2010},
publisher = {Eindhoven University of Technology},
abstract = {This paper investigates the trade-offs between mobility and equity maximization under environmental capacity constraints by proposing an integrated model for multi-objective policy decision making. The model specifically deals with two systematic objectives: maximization of mobility and equity, which are respectively formulated by the sum of total car ownership and number of trips, and the difference levels among zonal accessibilities. The environmental capacity constraint is specified based on efficiency theory in which the frontier emission under maximum system efficiency is taken as the capacity. To investigate the performance of the proposed model, three types of hypothetical policies (network improvement, population increase and urban sprawl) are designed and the effects of these policy scenarios are simulated using data of Dalian City, China. Results show that the proposed model can be used for representing the trade-offs between mobility and equity based on different policy interventions. Compaed with two extreme cases with a single objective, mobility maximization and equity maximization, the Pareto-optimal solutions provide more options in practice for decision makers. Taking the solution with the minimum car ownership as an example, the policy of urban sprawl yields the most significant improvement in both emission and accessibility among three scenarios.},
note = {10th International Conference on Design and Decision Support Systems, (DDSS2010), DDSS2010 ; Conference date: 19-07-2010 Through 22-07-2010},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper investigates the trade-offs between mobility and equity maximization under environmental capacity constraints by proposing an integrated model for multi-objective policy decision making. The model specifically deals with two systematic objectives: maximization of mobility and equity, which are respectively formulated by the sum of total car ownership and number of trips, and the difference levels among zonal accessibilities. The environmental capacity constraint is specified based on efficiency theory in which the frontier emission under maximum system efficiency is taken as the capacity. To investigate the performance of the proposed model, three types of hypothetical policies (network improvement, population increase and urban sprawl) are designed and the effects of these policy scenarios are simulated using data of Dalian City, China. Results show that the proposed model can be used for representing the trade-offs between mobility and equity based on different policy interventions. Compaed with two extreme cases with a single objective, mobility maximization and equity maximization, the Pareto-optimal solutions provide more options in practice for decision makers. Taking the solution with the minimum car ownership as an example, the policy of urban sprawl yields the most significant improvement in both emission and accessibility among three scenarios.
Feng, T; Zhang, Junyi; Fujiiwara, Akimasa; Timmermans, H J P
Incorporating accessibility-based equity into stochastic road network design problem: sensitivity analysis and policy Implications Journal Article
In: Journal of the Eastern Asia Society for Transportation Studies, vol. 8, iss. 2010, pp. 997 – 1010, 2010, ISSN: 1881-1124.
Abstract | Links | BibTeX | PlumX
@article{Feng2010d,
title = {Incorporating accessibility-based equity into stochastic road network design problem: sensitivity analysis and policy Implications},
author = {T Feng and Junyi Zhang and Akimasa Fujiiwara and H J P Timmermans},
doi = {10.11175/easts.8.997},
issn = {1881-1124},
year = {2010},
date = {2010-01-01},
journal = {Journal of the Eastern Asia Society for Transportation Studies},
volume = {8},
issue = {2010},
pages = {997 – 1010},
abstract = {This paper aims at examining the sensitivity of an accessibility-based equity measure in the context of the stochastic road network design problem. An equity optimization model system based on the bi-level programming approach is proposed, where the upper level problem addresses equity optimization under road investment constraint and the lower level deals with a user equilibrium model reflecting route choice behavior with varied link capacity improvements. An accessibility-based equity measure is defined in terms of the Gini coefficient. To illustrate the applicability of the model, an empirical study using data collected in Dalian City, China is carried out. Results demonstrate that the accessibility-based equity measure can be applied to measure distributional differences in zonal accessibility. Comparative results also implicate that policy makers may need to trade-off the levels of zonal accessibility and the accessibility distribution.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper aims at examining the sensitivity of an accessibility-based equity measure in the context of the stochastic road network design problem. An equity optimization model system based on the bi-level programming approach is proposed, where the upper level problem addresses equity optimization under road investment constraint and the lower level deals with a user equilibrium model reflecting route choice behavior with varied link capacity improvements. An accessibility-based equity measure is defined in terms of the Gini coefficient. To illustrate the applicability of the model, an empirical study using data collected in Dalian City, China is carried out. Results demonstrate that the accessibility-based equity measure can be applied to measure distributional differences in zonal accessibility. Comparative results also implicate that policy makers may need to trade-off the levels of zonal accessibility and the accessibility distribution.
2009
Feng, T; Zhang, J; Fujiiwara, Akimasa; Timmermans, H J P
Incorporating accessibility-based equity into stochastic road network design problem: sensitive analyses and policy implications Journal Article
In: Journal of the Eastern Asia Society for Transportation Studies, vol. 8, pp. 997-1010, 2009, ISSN: 1881-1124.
@article{Feng2009,
title = {Incorporating accessibility-based equity into stochastic road network design problem: sensitive analyses and policy implications},
author = {T Feng and J Zhang and Akimasa Fujiiwara and H J P Timmermans},
issn = {1881-1124},
year = {2009},
date = {2009-01-01},
journal = {Journal of the Eastern Asia Society for Transportation Studies},
volume = {8},
pages = {997-1010},
abstract = {This paper aims at examining the sensitivity of an accessibility-based equity measure in the context of the stochastic road network design problem. An equity optimization model system based on the bi-level programming approach is proposed, where the upper level problem addresses equity optimization under road investment constraint and the lower level deals with a user equilibrium model reflecting route choice behavior with varied link capacity improvements. An accessibility-based equity measure is defined in terms of the Gini coefficient. To illustrate the applicability of the model, an empirical study using data collected in Dalian City, China is carried out. Results demonstrate that the accessibility-based equity measure can be applied to measure distributional differences in zonal accessibility. Comparative results also implicate that policy makers may need to trade-off the levels of zonal accessibility and the accessibility distribution.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper aims at examining the sensitivity of an accessibility-based equity measure in the context of the stochastic road network design problem. An equity optimization model system based on the bi-level programming approach is proposed, where the upper level problem addresses equity optimization under road investment constraint and the lower level deals with a user equilibrium model reflecting route choice behavior with varied link capacity improvements. An accessibility-based equity measure is defined in terms of the Gini coefficient. To illustrate the applicability of the model, an empirical study using data collected in Dalian City, China is carried out. Results demonstrate that the accessibility-based equity measure can be applied to measure distributional differences in zonal accessibility. Comparative results also implicate that policy makers may need to trade-off the levels of zonal accessibility and the accessibility distribution.
2008
Feng, T.; Zhang, J.; Fujiwara, A.
An integrated modeling framework for environmentally efficient car ownership and trip balance Journal Article
In: IATSS Research, vol. 32, iss. 2, 2008, ISSN: 03861112.
Abstract | Links | BibTeX | PlumX
@article{Feng2008,
title = {An integrated modeling framework for environmentally efficient car ownership and trip balance},
author = {T. Feng and J. Zhang and A. Fujiwara},
doi = {10.1016/S0386-1112(14)60212-0},
issn = {03861112},
year = {2008},
date = {2008-01-01},
journal = {IATSS Research},
volume = {32},
issue = {2},
abstract = {Urban transport emissions generated by automobile trips are greatly responsible for atmospheric pollution in both developed and developing countries. To match the long-term target of sustainable development, it seems to be important to specify the feasible level of car ownership and travel demand from environmental considerations. This research intends to propose an integrated modeling framework for optimal construction of a comprehensive transportation system by taking into consideration environmental constraints. The modeling system is actually a combination of multiple essential models and illustrated by using a bi-level programming approach. In the upper level, the maximization of both total car ownership and total number of trips by private and public travel modes is set as the objective function and as the constraints, the total emission levels at all the zones are set to not exceed the relating environmental capacities. Maximizing the total trips by private and public travel modes allows policy makers to take into account trip balance to meet both the mobility levels required by travelers and the environmentally friendly transportation system goals. The lower level problem is a combined trip distribution and assignment model incorporating traveler's route choice behavior. A logit-type aggregate modal split model is established to connect the two level problems. In terms of the solution method for the integrated model, a genetic algorithm is applied. A case study is conducted using road network data and person-trip (PT) data collected in Dalian city, China. The analysis results showed that the amount of environmentally efficient car ownership and number of trips by different travel modes could be obtained simultaneously when considering the zonal control of environmental capacity within the framework of the proposed integrated model. The observed car ownership in zones could be increased or decreased towards the macroscopic optimization objective with zonal limit of emissions. © 2008 International Association of Traffic and Safety Sciences.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Urban transport emissions generated by automobile trips are greatly responsible for atmospheric pollution in both developed and developing countries. To match the long-term target of sustainable development, it seems to be important to specify the feasible level of car ownership and travel demand from environmental considerations. This research intends to propose an integrated modeling framework for optimal construction of a comprehensive transportation system by taking into consideration environmental constraints. The modeling system is actually a combination of multiple essential models and illustrated by using a bi-level programming approach. In the upper level, the maximization of both total car ownership and total number of trips by private and public travel modes is set as the objective function and as the constraints, the total emission levels at all the zones are set to not exceed the relating environmental capacities. Maximizing the total trips by private and public travel modes allows policy makers to take into account trip balance to meet both the mobility levels required by travelers and the environmentally friendly transportation system goals. The lower level problem is a combined trip distribution and assignment model incorporating traveler’s route choice behavior. A logit-type aggregate modal split model is established to connect the two level problems. In terms of the solution method for the integrated model, a genetic algorithm is applied. A case study is conducted using road network data and person-trip (PT) data collected in Dalian city, China. The analysis results showed that the amount of environmentally efficient car ownership and number of trips by different travel modes could be obtained simultaneously when considering the zonal control of environmental capacity within the framework of the proposed integrated model. The observed car ownership in zones could be increased or decreased towards the macroscopic optimization objective with zonal limit of emissions. © 2008 International Association of Traffic and Safety Sciences.
2007
Feng, T; Zhang, Junyi; Fujiiwara, Akimasa
Modelling the level of environmentally efficient car ownership Journal Article
In: Journal of the Eastern Asia Society for Transportation Studies, vol. 7, iss. 2007, pp. 1490 – 1505, 2007, ISSN: 1881-1124.
Abstract | Links | BibTeX | PlumX
@article{Feng2007,
title = {Modelling the level of environmentally efficient car ownership},
author = {T Feng and Junyi Zhang and Akimasa Fujiiwara},
doi = {10.11175/easts.7.1490},
issn = {1881-1124},
year = {2007},
date = {2007-01-01},
journal = {Journal of the Eastern Asia Society for Transportation Studies},
volume = {7},
issue = {2007},
pages = {1490 – 1505},
abstract = {This study attempts to develop a macro-level car ownership model using a bi-level optimization modeling approach. The upper level of the bi-level model deals with a maximum problem of zonal car ownership. Objective function is the total zonal car ownership and the constraints are the legalized standard of air quality and the frontier emissions estimated using a stochastic frontier analysis approach. The lower level is a user equilibrium assignment model. Pollutant concentrations are estimated using an artificial neural network model. The interdependencies of car ownership, traffic flow, and the emissions and pollutant concentrations are logically represented based on an iterated optimization process. The final optimized car ownership can be used as a benchmark of realizing environmentally sustainable transportation systems. Based on the data collected in Dalian, China and the Millennium Cities Database, the effectiveness of the proposed car ownership model was empirically confirmed.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This study attempts to develop a macro-level car ownership model using a bi-level optimization modeling approach. The upper level of the bi-level model deals with a maximum problem of zonal car ownership. Objective function is the total zonal car ownership and the constraints are the legalized standard of air quality and the frontier emissions estimated using a stochastic frontier analysis approach. The lower level is a user equilibrium assignment model. Pollutant concentrations are estimated using an artificial neural network model. The interdependencies of car ownership, traffic flow, and the emissions and pollutant concentrations are logically represented based on an iterated optimization process. The final optimized car ownership can be used as a benchmark of realizing environmentally sustainable transportation systems. Based on the data collected in Dalian, China and the Millennium Cities Database, the effectiveness of the proposed car ownership model was empirically confirmed.
Feng, T; Zhang, Junyi; Fujiiwara, Akimasa
Environmental efficiency analysis of transportation system: a stochastic frontier approach with flexible cause-effect structure Journal Article
In: Journal of the Eastern Asia Society for Transportation Studies, vol. 7, iss. 2007, pp. 1475 – 1489, 2007, ISSN: 1881-1124.
Abstract | Links | BibTeX | PlumX
@article{Feng2007b,
title = {Environmental efficiency analysis of transportation system: a stochastic frontier approach with flexible cause-effect structure},
author = {T Feng and Junyi Zhang and Akimasa Fujiiwara},
doi = {10.11175/easts.7.1475},
issn = {1881-1124},
year = {2007},
date = {2007-01-01},
journal = {Journal of the Eastern Asia Society for Transportation Studies},
volume = {7},
issue = {2007},
pages = {1475 – 1489},
abstract = {This paper aims to evaluate environmental efficiency of transportation systems by integrating a multiple-output stochastic frontier analysis (SFA) model with a structural equation model (SEM) to flexibly incorporate cause-effect relationships among various factors influencing traffic emissions. The SEM is firstly specified to illustrate such complex interrelations and the calculated latent variables are taken as the inputs to SFA model. A SFA model, named the distance function approach which can accommodate multiple inputs and multiple outputs, is adopted to calculate efficiency scores in transport sectors at different cities. To examine the model performance, an empirical study is carried out considering three types of emissions, i.e., CO, VHC and NOx, based on the Millennium Cities Database. The effectiveness of the proposed model is confirmed. Efficiencies in transport sectors are compared and it is found that cities in developed countries do not consistently show higher efficiency than other developing cities.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper aims to evaluate environmental efficiency of transportation systems by integrating a multiple-output stochastic frontier analysis (SFA) model with a structural equation model (SEM) to flexibly incorporate cause-effect relationships among various factors influencing traffic emissions. The SEM is firstly specified to illustrate such complex interrelations and the calculated latent variables are taken as the inputs to SFA model. A SFA model, named the distance function approach which can accommodate multiple inputs and multiple outputs, is adopted to calculate efficiency scores in transport sectors at different cities. To examine the model performance, an empirical study is carried out considering three types of emissions, i.e., CO, VHC and NOx, based on the Millennium Cities Database. The effectiveness of the proposed model is confirmed. Efficiencies in transport sectors are compared and it is found that cities in developed countries do not consistently show higher efficiency than other developing cities.
2006
Feng, T.; Yang, Z.; Zhang, J.; Fujiwara, A.
Modeling pollutant concentration based on artificial neural network Proceedings Article
In: 2006, ISBN: 7030174445.
@inproceedings{Feng2006,
title = {Modeling pollutant concentration based on artificial neural network},
author = {T. Feng and Z. Yang and J. Zhang and A. Fujiwara},
isbn = {7030174445},
year = {2006},
date = {2006-01-01},
journal = {Proceedings of the Conference on Traffic and Transportation Studies, ICTTS},
abstract = {The traditional two-stage (i.e., emission and dispersion) model, which evaluates air pollutant concentration on roadsides, calculates first the emission from cars, and then estimates the concentration levels at surrounding areas. Due to the complexity of cause-effect relationship between traffic flows and pollutant concentration, it is quite difficult to completely obtain data required for the model. This study develops a new prediction model of vehicular pollutant concentration on roadsides using artificial neural network (ANN) approach. The model not only incorporates the mechanism of pollutant emission and dispersion, but also represents the effects of multiple factors which are expected to influence vehicular pollutant emission and concentration, such as meteorological parameters, traffic flow parameters and road space characteristics. The proposed model can predict the pollutant concentration at any points on roadside with a one-step calculation method by considering the above complicated relation. A large set of survey data is used to train and simulate the ANN-based model. The effectiveness of the proposed model is empirically confirmed.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The traditional two-stage (i.e., emission and dispersion) model, which evaluates air pollutant concentration on roadsides, calculates first the emission from cars, and then estimates the concentration levels at surrounding areas. Due to the complexity of cause-effect relationship between traffic flows and pollutant concentration, it is quite difficult to completely obtain data required for the model. This study develops a new prediction model of vehicular pollutant concentration on roadsides using artificial neural network (ANN) approach. The model not only incorporates the mechanism of pollutant emission and dispersion, but also represents the effects of multiple factors which are expected to influence vehicular pollutant emission and concentration, such as meteorological parameters, traffic flow parameters and road space characteristics. The proposed model can predict the pollutant concentration at any points on roadside with a one-step calculation method by considering the above complicated relation. A large set of survey data is used to train and simulate the ANN-based model. The effectiveness of the proposed model is empirically confirmed.
Yang, Z. -Z.; Miao, G. -Q.; Feng, T.
Forecast on maximum car ownership with constraint of environmental capacity in urban Journal Article
In: Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, vol. 19, iss. 6, 2006, ISSN: 10017372.
@article{Yang2006,
title = {Forecast on maximum car ownership with constraint of environmental capacity in urban},
author = {Z. -Z. Yang and G. -Q. Miao and T. Feng},
issn = {10017372},
year = {2006},
date = {2006-01-01},
journal = {Zhongguo Gonglu Xuebao/China Journal of Highway and Transport},
volume = {19},
issue = {6},
abstract = {A model which is a bi-level optimal problem and can forecast the maximum car ownership in urban with constraint of urban environmental capacity was developed. The upper level maximizes the car ownership subjected to the environmental capacity constraint, where the objective function is the maximum of the sum of zonal car population and constraints are environmental capacities on all links. The lower level assigns the OD traffic on road network with user equilibrium method, which simulates the behaviors of traveller path selection and forecasts distribution and running characteristics of traffic demand on road network. In order to realize the feedback between the two levels and solve two optimization problem simultaneously, an algorithm based on sensitivity analysis was developed and a numerical test was used to verify the effectiveness of model and algorithm.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
A model which is a bi-level optimal problem and can forecast the maximum car ownership in urban with constraint of urban environmental capacity was developed. The upper level maximizes the car ownership subjected to the environmental capacity constraint, where the objective function is the maximum of the sum of zonal car population and constraints are environmental capacities on all links. The lower level assigns the OD traffic on road network with user equilibrium method, which simulates the behaviors of traveller path selection and forecasts distribution and running characteristics of traffic demand on road network. In order to realize the feedback between the two levels and solve two optimization problem simultaneously, an algorithm based on sensitivity analysis was developed and a numerical test was used to verify the effectiveness of model and algorithm.
2005
Yang, Z (Zhongzhen); Feng, T; Jia, Peng
Maximizing car ownership under constrains of environment sustainability in a city Journal Article
In: Journal of the Eastern Asia Society for Transportation Studies, vol. 6, iss. 2005, pp. 3077 – 3089, 2005, ISSN: 1881-1124.
@article{Yang2005,
title = {Maximizing car ownership under constrains of environment sustainability in a city},
author = {Z (Zhongzhen) Yang and T Feng and Peng Jia},
doi = {10.11175/easts.6.3077},
issn = {1881-1124},
year = {2005},
date = {2005-01-01},
journal = {Journal of the Eastern Asia Society for Transportation Studies},
volume = {6},
issue = {2005},
pages = {3077 – 3089},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2004
Yang, Z.; Feng, T.
A neural network based car ownership model Proceedings Article
In: 2004.
Abstract | Links | BibTeX | PlumX
@inproceedings{Yang2004,
title = {A neural network based car ownership model},
author = {Z. Yang and T. Feng},
doi = {10.1061/40730(144)117},
year = {2004},
date = {2004-01-01},
journal = {Proceedings of the International Conference on Applications of Advanced Technologies in Transportation Engineering},
abstract = {With the economic growth and the improvement of living standard, car ownership in China increases rapidly. It exerts enormous pressure on transportation services. It is necessary to forecast China car ownership for urban transport planning, transport infrastructure improvement and traffic management in terms of economic level, urban configuration, traffic situation and car-concerned policies. In this paper the main factors affecting car ownership are analyzed and a model to estimate car ownership in China city with the BP neural network technology is developed. The model can take the sudden effect of some external factors such as political and economic factors on car ownership into account.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
With the economic growth and the improvement of living standard, car ownership in China increases rapidly. It exerts enormous pressure on transportation services. It is necessary to forecast China car ownership for urban transport planning, transport infrastructure improvement and traffic management in terms of economic level, urban configuration, traffic situation and car-concerned policies. In this paper the main factors affecting car ownership are analyzed and a model to estimate car ownership in China city with the BP neural network technology is developed. The model can take the sudden effect of some external factors such as political and economic factors on car ownership into account.
0000
[No title] Bachelor Thesis
0000.
@bachelorthesis{nokey,
title = {[No title]},
abstract = {<script type="text/javascript" src="//cdn.plu.mx/widget-popup.js"></script>
<body >Effective management of the high-speed railways (HSR) system requires an in-depth understanding of the HSR stations in the network, e.g., the time-dependent volume distribution. The classification of HSR stations is the scientific basis for transport policymaking and land-use planning. Existing classification methods cannot meet the needs of temporal variation of passenger flow or the refined design and operation of HSR stations. This study adopts the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to classify HSR stations in different years. Using the data of Jiangsu Province, China, as an example, the time series of arrival and departure passenger flow at HSR stations are clustered via the DBSCAN algorithm, and the HSR stations are clustered into three classes. To determine the hierarchical structure of HSR stations representing the evolution of HSR networks, we use large-scale panel data obtained from mobile phone cellular data across years (July 1–14 from each of the years 2018, 2020, and 2021) to capture and analyze the spatial-temporal evolution characteristics of massive passenger flow at HSR stations. It is indicated that both HSR station hierarchy and passenger flow have the characteristics of spatial-temporal evolution across years, and the classification results are influenced by the geographical positions of cities and HSR layout. Accurate clustering of HSR stations via large-scale actual passenger flow data enables railway authorities and operators to identify critical nodes for efficient HSR network performance. The resulting classification would contribute to an in-depth understanding of the evolution characteristics of passenger flow in different years.
<a href="https://plu.mx/plum/a/-d7KiEYqRbyvIzyfgeUfkfQfAg5h3FsQZo4NcGJ3gOo" data-popup="right" data-size="large" class="plumx-plum-print-popup plum-bigben-theme" data-site="plum" data-hide-when-empty="true">General discussion of data quality challenges in social media metrics: Extensive comparison of four major altmetric data aggregators</a>
</body>},
keywords = {},
pubstate = {published},
tppubtype = {bachelorthesis}
}
<script type="text/javascript" src="//cdn.plu.mx/widget-popup.js"></script>
<body >Effective management of the high-speed railways (HSR) system requires an in-depth understanding of the HSR stations in the network, e.g., the time-dependent volume distribution. The classification of HSR stations is the scientific basis for transport policymaking and land-use planning. Existing classification methods cannot meet the needs of temporal variation of passenger flow or the refined design and operation of HSR stations. This study adopts the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to classify HSR stations in different years. Using the data of Jiangsu Province, China, as an example, the time series of arrival and departure passenger flow at HSR stations are clustered via the DBSCAN algorithm, and the HSR stations are clustered into three classes. To determine the hierarchical structure of HSR stations representing the evolution of HSR networks, we use large-scale panel data obtained from mobile phone cellular data across years (July 1–14 from each of the years 2018, 2020, and 2021) to capture and analyze the spatial-temporal evolution characteristics of massive passenger flow at HSR stations. It is indicated that both HSR station hierarchy and passenger flow have the characteristics of spatial-temporal evolution across years, and the classification results are influenced by the geographical positions of cities and HSR layout. Accurate clustering of HSR stations via large-scale actual passenger flow data enables railway authorities and operators to identify critical nodes for efficient HSR network performance. The resulting classification would contribute to an in-depth understanding of the evolution characteristics of passenger flow in different years.
<a href="https://plu.mx/plum/a/-d7KiEYqRbyvIzyfgeUfkfQfAg5h3FsQZo4NcGJ3gOo" data-popup="right" data-size="large" class="plumx-plum-print-popup plum-bigben-theme" data-site="plum" data-hide-when-empty="true">General discussion of data quality challenges in social media metrics: Extensive comparison of four major altmetric data aggregators</a>
</body>
<body >Effective management of the high-speed railways (HSR) system requires an in-depth understanding of the HSR stations in the network, e.g., the time-dependent volume distribution. The classification of HSR stations is the scientific basis for transport policymaking and land-use planning. Existing classification methods cannot meet the needs of temporal variation of passenger flow or the refined design and operation of HSR stations. This study adopts the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to classify HSR stations in different years. Using the data of Jiangsu Province, China, as an example, the time series of arrival and departure passenger flow at HSR stations are clustered via the DBSCAN algorithm, and the HSR stations are clustered into three classes. To determine the hierarchical structure of HSR stations representing the evolution of HSR networks, we use large-scale panel data obtained from mobile phone cellular data across years (July 1–14 from each of the years 2018, 2020, and 2021) to capture and analyze the spatial-temporal evolution characteristics of massive passenger flow at HSR stations. It is indicated that both HSR station hierarchy and passenger flow have the characteristics of spatial-temporal evolution across years, and the classification results are influenced by the geographical positions of cities and HSR layout. Accurate clustering of HSR stations via large-scale actual passenger flow data enables railway authorities and operators to identify critical nodes for efficient HSR network performance. The resulting classification would contribute to an in-depth understanding of the evolution characteristics of passenger flow in different years.
<a href="https://plu.mx/plum/a/-d7KiEYqRbyvIzyfgeUfkfQfAg5h3FsQZo4NcGJ3gOo" data-popup="right" data-size="large" class="plumx-plum-print-popup plum-bigben-theme" data-site="plum" data-hide-when-empty="true">General discussion of data quality challenges in social media metrics: Extensive comparison of four major altmetric data aggregators</a>
</body>
Liu, Yanyan; Li, Keping; Feng, Tao; Yan, Dongyang; Ma, Guangyi; Xu, Yuangxi
Novel Approach for Quantifying the Propagation of Subway Equipment Faults by Using Multimodal Networks Journal Article
In: Transportation Research Record, vol. 0, no. 0, pp. 03611981241249737, 0000.
Abstract | Links | BibTeX | PlumX
@article{doi:10.1177/03611981241249737,
title = {Novel Approach for Quantifying the Propagation of Subway Equipment Faults by Using Multimodal Networks},
author = {Yanyan Liu and Keping Li and Tao Feng and Dongyang Yan and Guangyi Ma and Yuangxi Xu},
url = {https://doi.org/10.1177/03611981241249737},
doi = {10.1177/03611981241249737},
journal = {Transportation Research Record},
volume = {0},
number = {0},
pages = {03611981241249737},
abstract = {In subway systems, equipment failures can lead to train stoppages, delays, or even accidents, severely affecting the safety of train operations. It is crucial for emergency handling to identify the vulnerable areas and explore propagation laws in the subway network. In this paper, based on multimodal networks, several indicators are systematically proposed to demonstrate the vulnerability of each subway station. These indicators are then applied in a gravitation model to quantify and study the propagation or spatiotemporal distribution of cascading effects caused by equipment failures. To verify the effectiveness of the proposed model, a case study is conducted using a data set of equipment faults in the Beijing subway. Quantification results show that the propagation of equipment faults between subway stations exhibits diagonal characteristics, with stations closer to the faulty equipment being more heavily affected. The results also indicate that gravitation values display a long-tail distribution and their highest proportion falls within a certain interval. Furthermore, this paper proposes several prevention measures in response to equipment fault propagation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In subway systems, equipment failures can lead to train stoppages, delays, or even accidents, severely affecting the safety of train operations. It is crucial for emergency handling to identify the vulnerable areas and explore propagation laws in the subway network. In this paper, based on multimodal networks, several indicators are systematically proposed to demonstrate the vulnerability of each subway station. These indicators are then applied in a gravitation model to quantify and study the propagation or spatiotemporal distribution of cascading effects caused by equipment failures. To verify the effectiveness of the proposed model, a case study is conducted using a data set of equipment faults in the Beijing subway. Quantification results show that the propagation of equipment faults between subway stations exhibits diagonal characteristics, with stations closer to the faulty equipment being more heavily affected. The results also indicate that gravitation values display a long-tail distribution and their highest proportion falls within a certain interval. Furthermore, this paper proposes several prevention measures in response to equipment fault propagation.