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Measuring joint space-time accessibility in transit network under travel time uncertainty

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  • Fu, Xiao
  • Zuo, Yufan
  • Zhang, Shanqi
  • Liu, Zhiyuan

Abstract

In densely populated areas, joint activity participation such as shopping and eating outside represents a substantial portion of individuals' daily activity-travel patterns. Individuals have several considerations in making joint activity choice behaviour such as space-time coordination, activity start time, activity location and joint activity duration. In a congested transit network, the travel time uncertainty significantly affects individuals' activity and travel choice behaviour. To conduct some important joint activities, individuals normally have high expectations of on-time arrival. Thus, the measurement of space-time accessibility in transportation networks should be extended to consider joint activity choices and travel time uncertainty. In this paper, a new method for measuring space-time accessibility is proposed for individuals' joint activities in transit network with consideration of travel time uncertainty. A reliable alighting location model is proposed to identify all feasible alighting locations in transit network to perform joint activities by explicitly considering constraints of on-time arrival probabilities. Individuals’ joint space-time accessibility (JSTA) is measured based on reliable alighting locations, travel time budget, and points of interests. Massive smart card data from metro network in Nanjing, China are used to show the merits of the proposed JSTA measure. The results show that there is a significant difference between the space-time accessibility to independent activity and that to joint activity under various on-time arrival probabilities. The effects of spatial (de)concentration of anchor locations and minimum joint activity duration on JSTA, and the role of additional participants are also presented in various scenarios. The proposed JSTA measure can be used to help policy makers to evaluate transit network development and land use planning in urban areas.

Suggested Citation

  • Fu, Xiao & Zuo, Yufan & Zhang, Shanqi & Liu, Zhiyuan, 2022. "Measuring joint space-time accessibility in transit network under travel time uncertainty," Transport Policy, Elsevier, vol. 116(C), pages 355-368.
    • Handle: RePEc:eee:trapol:v:116:y:2022:i:c:p:355-368
    DOI: 10.1016/j.tranpol.2021.12.018
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    References listed on IDEAS

    as
    1. Carrion, Carlos & Levinson, David, 2012. "Value of travel time reliability: A review of current evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 720-741.
    2. Xiao Fu & William Lam, 2014. "A network equilibrium approach for modelling activity-travel pattern scheduling problems in multi-modal transit networks with uncertainty," Transportation, Springer, vol. 41(1), pages 37-55, January.
    3. Yang, Wenyue & Chen, Bi Yu & Cao, Xiaoshu & Li, Tao & Li, Peng, 2017. "The spatial characteristics and influencing factors of modal accessibility gaps: A case study for Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 21-32.
    4. Arentze, Theo A. & Timmermans, Harry J.P., 2009. "A need-based model of multi-day, multi-person activity generation," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 251-265, February.
    5. Li, Qingquan & Zhang, Tong & Wang, Handong & Zeng, Zhe, 2011. "Dynamic accessibility mapping using floating car data: a network-constrained density estimation approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 379-393.
    6. Cohen, Tom, 2020. "Tools for addressing transport inequality: A novel variant of accessibility measurement," Journal of Transport Geography, Elsevier, vol. 88(C).
    7. Neutens, Tijs & Delafontaine, Matthias & Scott, Darren M. & De Maeyer, Philippe, 2012. "An analysis of day-to-day variations in individual space–time accessibility," Journal of Transport Geography, Elsevier, vol. 23(C), pages 81-91.
    8. Boisjoly, Geneviève & El-Geneidy, Ahmed M., 2017. "How to get there? A critical assessment of accessibility objectives and indicators in metropolitan transportation plans," Transport Policy, Elsevier, vol. 55(C), pages 38-50.
    9. Smith, Robert W. & Bertolaccini, Kelly & Lownes, Nicholas E., 2021. "Improving transit access measures in affordable housing funding criteria," Transport Policy, Elsevier, vol. 106(C), pages 239-248.
    10. Lessa, Daniela Antunes & Lobo, Carlos & Cardoso, Leandro, 2019. "Accessibility and urban mobility by bus in Belo Horizonte/Minas Gerais – Brazil," Journal of Transport Geography, Elsevier, vol. 77(C), pages 1-10.
    11. Pawlak, Jacek & Polak, John W. & Sivakumar, Aruna, 2017. "A framework for joint modelling of activity choice, duration, and productivity while travelling," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 153-172.
    12. de Palma, André & Picard, Nathalie, 2005. "Route choice decision under travel time uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 295-324, May.
    13. Xu, Mengya & Xin, Jing & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2017. "Social inequalities of park accessibility in Shenzhen, China: The role of park quality, transport modes, and hierarchical socioeconomic characteristics," Journal of Transport Geography, Elsevier, vol. 62(C), pages 38-50.
    14. Xiao Fu & William H. K. Lam, 2018. "Modelling joint activity-travel pattern scheduling problem in multi-modal transit networks," Transportation, Springer, vol. 45(1), pages 23-49, January.
    15. Jiang, Yonglei & Liao, Feixiong & Jin, Lianjie, 2021. "Effects of locational accessibility on firm diffusion characteristics: The case of Sino-Europe Economic Corridor," Transport Policy, Elsevier, vol. 105(C), pages 80-93.
    16. Zuo, Yufan & Fu, Xiao & Liu, Zhiyuan & Huang, Di, 2021. "Short-term forecasts on individual accessibility in bus system based on neural network model," Journal of Transport Geography, Elsevier, vol. 93(C).
    17. Feixiong Liao & Bert van Wee, 2017. "Accessibility measures for robustness of the transport system," Transportation, Springer, vol. 44(5), pages 1213-1233, September.
    18. Hejun Kang & Darren Scott, 2008. "An integrated spatio-temporal GIS toolkit for exploring intra-household interactions," Transportation, Springer, vol. 35(2), pages 253-268, March.
    19. Dong, Xiaojing & Ben-Akiva, Moshe E. & Bowman, John L. & Walker, Joan L., 2006. "Moving from trip-based to activity-based measures of accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 163-180, February.
    20. John Gliebe & Frank Koppelman, 2002. "A model of joint activity participation between household members," Transportation, Springer, vol. 29(1), pages 49-72, February.
    21. Zhang, Junyi & Kuwano, Masashi & Lee, Backjin & Fujiwara, Akimasa, 2009. "Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 230-250, February.
    22. Wu, Belinda M. & Hine, Julian P., 2003. "A PTAL approach to measuring changes in bus service accessibility," Transport Policy, Elsevier, vol. 10(4), pages 307-320, October.
    23. Zhangcai Yin & Zhanghaonan Jin & Shen Ying & Sanjuan Li & Qingquan Liu, 2020. "A spatial data model for urban spatial–temporal accessibility analysis," Journal of Geographical Systems, Springer, vol. 22(4), pages 447-468, October.
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