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Investigating the In-Vehicle Crowding Cost Functions for Public Transit Modes

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  • Feifei Qin

Abstract

In the densely populated metropolitan area, empirical studies have found that overcrowding inside transit vehicles has become substantially worse and worse over recent years. Chronic in-vehicle crowding is not only caused by a lack of physical infrastructure, but also triggered by inadequate service provisions. Given the prevalence of overcrowded transit vehicles, this paper conducts both quantitative and qualitative studies, especially focusing on remodeling the in-vehicle crowding cost functions for different transit modes. Three numerical case studies show that applying distinct in-vehicle crowding cost functions to different transit modes has implications not only for the cost structure of transit systems and the magnitude of optimal service provisions but also for the presence of economies of scale in consumption.

Suggested Citation

  • Feifei Qin, 2014. "Investigating the In-Vehicle Crowding Cost Functions for Public Transit Modes," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-13, February.
  • Handle: RePEc:hin:jnlmpe:502708
    DOI: 10.1155/2014/502708
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    Cited by:

    1. Jara-Díaz, Sergio & Gschwender, Antonio & Castro, Juan Cristóbal & Lepe, Matías, 2024. "Distance traveled, transit design and optimal pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    2. Li, Manzi & Jiang, Gege & Lo, Hong K., 2022. "Pricing strategy of ride-sourcing services under travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).

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