2022
Liu, Yang; Feng, Tao; Shi, Zhuangbin; He, Mingwei
Understanding the route choice behaviour of metro-bikeshare users Journal Article
In: Transportation Research Part A: Policy and Practice, vol. 166, pp. 460-475, 2022, ISSN: 0965-8564.
Abstract | Links | BibTeX | Tags: Metro-bikeshare integration, Multinomial logit model, Route choice, Smart card data
@article{LIU2022460,
title = {Understanding the route choice behaviour of metro-bikeshare users},
author = {Yang Liu and Tao Feng and Zhuangbin Shi and Mingwei He},
url = {https://www.sciencedirect.com/science/article/pii/S0965856422002890},
doi = {https://doi.org/10.1016/j.tra.2022.11.006},
issn = {0965-8564},
year = {2022},
date = {2022-01-01},
journal = {Transportation Research Part A: Policy and Practice},
volume = {166},
pages = {460-475},
abstract = {Understanding the determinants of the route choice behaviour on a multi-modal transit network of metro and shared bike is important to improve personalized multimodal travel services. This paper attempts to analyse the route choice behaviour of metro-bikeshare users considering passengers’ socio-economic attributes and perceived congestion which is approximated by load status. An abstract integrated metro-bikeshare network (IMBN) is built with virtual nodes by aggregating shared bike stations within the walkable distance and abstract routes by aggregating optional paths for each OD pair. Using the metro- and shared bike smart- card data from Nanjing, China, the route sets of metro-bikeshare users were extracted from the IMBN. A multinomial Logit model (MNL) was then applied to investigate the determinants of route choice behaviour for two types of users, namely “return-enter” and “exit-lease”, respectively. The results show that the models with the load status attributes have a better performance than the models without these attributes. We found the sensitivity of “exit-lease” users to the train crowding is significantly greater than that of the “return-enter” users. “Return-enter” users have a higher perception of out-of-vehicle travel time (OVTT) than that of in-vehicle travel time (IVT), while the “exit-lease” users have the opposite perception. Besides, the change rate of shared bike inventory, departure time and whether he or she is a regular user also have a significant impact on route choice behaviour. The findings can help policymakers and system operators to improve the services and the efficiency of the multimodal transportation system.},
keywords = {Metro-bikeshare integration, Multinomial logit model, Route choice, Smart card data},
pubstate = {published},
tppubtype = {article}
}
Understanding the determinants of the route choice behaviour on a multi-modal transit network of metro and shared bike is important to improve personalized multimodal travel services. This paper attempts to analyse the route choice behaviour of metro-bikeshare users considering passengers’ socio-economic attributes and perceived congestion which is approximated by load status. An abstract integrated metro-bikeshare network (IMBN) is built with virtual nodes by aggregating shared bike stations within the walkable distance and abstract routes by aggregating optional paths for each OD pair. Using the metro- and shared bike smart- card data from Nanjing, China, the route sets of metro-bikeshare users were extracted from the IMBN. A multinomial Logit model (MNL) was then applied to investigate the determinants of route choice behaviour for two types of users, namely “return-enter” and “exit-lease”, respectively. The results show that the models with the load status attributes have a better performance than the models without these attributes. We found the sensitivity of “exit-lease” users to the train crowding is significantly greater than that of the “return-enter” users. “Return-enter” users have a higher perception of out-of-vehicle travel time (OVTT) than that of in-vehicle travel time (IVT), while the “exit-lease” users have the opposite perception. Besides, the change rate of shared bike inventory, departure time and whether he or she is a regular user also have a significant impact on route choice behaviour. The findings can help policymakers and system operators to improve the services and the efficiency of the multimodal transportation system.
2020
Dane, G.; Feng, T.; Luub, F.; Arentze, T.
Route choice decisions of E-bike users: Analysis of GPS tracking data in the Netherlands Book
2020, ISSN: 18632351.
Abstract | Links | BibTeX | Tags: Big data, E-bike, GPS, Route choice
@book{Dane2020b,
title = {Route choice decisions of E-bike users: Analysis of GPS tracking data in the Netherlands},
author = {G. Dane and T. Feng and F. Luub and T. Arentze},
doi = {10.1007/978-3-030-14745-7_7},
issn = {18632351},
year = {2020},
date = {2020-01-01},
journal = {Lecture Notes in Geoinformation and Cartography},
abstract = {Over the past years, the usage of electric bikes has emerged. E-bikes are suitable for short and medium distance trips. Therefore, the Dutch government promotes using e-bikes for daily commuting trips. However, the impact of increasing demand on the cycling infrastructure is unclear. Additionally, route choice models for e-bikes are limited. This paper estimates a route choice model for e-bike users in the Noord-Brabant region of The Netherlands. The data used are based on 17626 trips from 742 users including user profiles extracted from GPS data. In order to analyze the data, a mixed logit model is applied on the route choice of respondents with addition of the path-size attribute. Mixed logit model allows a panel data setup and enables the examination of preference heterogeneity around the mean of distance attribute. Moreover, the path-size attribute is included on the model to account for the overlap between alternatives. Socio-demographic characteristics and trip-related factors are found to be influencing on the route choice decisions of e-bike and bike users. There are differences on the significance of variables between e-bike and bike users.},
keywords = {Big data, E-bike, GPS, Route choice},
pubstate = {published},
tppubtype = {book}
}
Over the past years, the usage of electric bikes has emerged. E-bikes are suitable for short and medium distance trips. Therefore, the Dutch government promotes using e-bikes for daily commuting trips. However, the impact of increasing demand on the cycling infrastructure is unclear. Additionally, route choice models for e-bikes are limited. This paper estimates a route choice model for e-bike users in the Noord-Brabant region of The Netherlands. The data used are based on 17626 trips from 742 users including user profiles extracted from GPS data. In order to analyze the data, a mixed logit model is applied on the route choice of respondents with addition of the path-size attribute. Mixed logit model allows a panel data setup and enables the examination of preference heterogeneity around the mean of distance attribute. Moreover, the path-size attribute is included on the model to account for the overlap between alternatives. Socio-demographic characteristics and trip-related factors are found to be influencing on the route choice decisions of e-bike and bike users. There are differences on the significance of variables between e-bike and bike users.
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 | Tags: Compliance, Freight transport, Route choice, Route guidance
@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 = {Compliance, Freight transport, Route choice, Route guidance},
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.
Arentze, T.; Feng, T.; Timmermans, H.; Robroeks, J.
In: Transportation, vol. 39, iss. 6, 2012, ISSN: 15729435.
Abstract | Links | BibTeX | Tags: Freight transport, Price policies, Route choice, Stated choice experiment
@article{Arentze2012,
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. Arentze and T. Feng and H. Timmermans and J. Robroeks},
doi = {10.1007/s11116-012-9391-z},
issn = {15729435},
year = {2012},
date = {2012-01-01},
journal = {Transportation},
volume = {39},
issue = {6},
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. © 2012 The Author(s).},
keywords = {Freight transport, Price policies, Route choice, Stated choice experiment},
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. © 2012 The Author(s).