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

Author

Qin, Feifei

Source

Mathematical Problems in Engineering

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-02-23

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Civil Engineering

Abstract EN

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.

American Psychological Association (APA)

Qin, Feifei. 2014. Investigating the In-Vehicle Crowding Cost Functions for Public Transit Modes. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-476716

Modern Language Association (MLA)

Qin, Feifei. Investigating the In-Vehicle Crowding Cost Functions for Public Transit Modes. Mathematical Problems in Engineering No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-476716

American Medical Association (AMA)

Qin, Feifei. Investigating the In-Vehicle Crowding Cost Functions for Public Transit Modes. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-476716

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-476716