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Critical capacity, travel time delays and travel time distribution of rapid mass transit systems

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  • Legara, Erika Fille
  • Monterola, Christopher
  • Lee, Kee Khoon
  • Hung, Gih Guang

Abstract

We set up a mechanistic agent-based model of a rapid mass transit system. Using empirical data from Singapore’s unidentifiable smart fare card, we validate our model by reconstructing actual travel demand and duration of travel statistics. We subsequently use this model to investigate two phenomena that are known to significantly affect the dynamics within the RTS: (1) overloading in trains and (2) overcrowding in the RTS platform. We demonstrate that by varying the loading capacity of trains, a tipping point emerges at which an exponential increase in the duration of travel time delays is observed. We also probe the impact on the rail system dynamics of three types of passenger growth distribution across stations: (i) Dirac delta, (ii) uniform and (iii) geometric, which is reminiscent of the effect of land use on transport. Under the assumption of a fixed loading capacity, we demonstrate the dependence of a given origin–destination (OD) pair on the flow volume of commuters in station platforms.

Suggested Citation

  • Legara, Erika Fille & Monterola, Christopher & Lee, Kee Khoon & Hung, Gih Guang, 2014. "Critical capacity, travel time delays and travel time distribution of rapid mass transit systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 100-106.
    • Handle: RePEc:eee:phsmap:v:406:y:2014:i:c:p:100-106
    DOI: 10.1016/j.physa.2014.02.058
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    References listed on IDEAS

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    1. Bollinger, Christopher R. & Ihlanfeldt, Keith R., 1997. "The Impact of Rapid Rail Transit on Economic Development: The Case of Atlanta's MARTA," Journal of Urban Economics, Elsevier, vol. 42(2), pages 179-204, September.
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    Cited by:

    1. Ramli, Muhamad Azfar & Jayaraman, Vasundhara & Kwek, Hyen Chee & Tan, Kian Heong & Lee Kee Khoon, Gary & Monterola, Christopher, 2018. "Improved estimation of commuter waiting times using headway and commuter boarding information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 217-226.
    2. Feng, Jia & Li, Xiamiao & Mao, Baohua & Xu, Qi & Bai, Yun, 2017. "Weighted complex network analysis of the Beijing subway system: Train and passenger flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 213-223.

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