Technical Papers
Jun 19, 2013

Risk-Based Transit Schedule Design for a Fixed Route from the View of Equity

Publication: Journal of Transportation Engineering
Volume 139, Issue 11

Abstract

This work proposed a model for transit schedule design by integrating the spatial-equity considerations into the slack-time setting problem. The proposed model can help to design a transit service for more equitable reliability of all stops distributed along the route. The transit operators’ risk taking attitudes are also taken into consideration by introducing the travel-time budget (TTB) and mean-excess travel time (METT) as two risk measures. The proposed model can be formulated as a stochastic optimization problem and solved by a subsequently designed Monte Carlo (MC) simulation based genetic algorithm (GA) procedure. Scenario-based numerical examples from a real bus route in Beijing city of China are presented to demonstrate the characteristics of the model. The sensitivity of the parameters setting are also taken into consideration as well, which reflects the impact on the schedule setting of various factors including actual travel-time variability, risk-taking attitudes of transit operators, the bus drivers’ adjustment, and bus-frequency setting.

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Acknowledgments

This work is jointly supported by the National Basic Research Program of China (2012CB725400), National Natural Science Foundation of China (70901007, 71071016), and the Fundamental Research Funds for the Central Universities (2013JBM053).

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Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 139Issue 11November 2013
Pages: 1086 - 1094

History

Received: Dec 11, 2012
Accepted: Jun 17, 2013
Published online: Jun 19, 2013
Published in print: Nov 1, 2013
Discussion open until: Nov 19, 2013

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Authors

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Assistant Professor, MOE Key Laboratory for Transportation Complex Systems Theory and Technology, Beijing Jiaotong Univ., Beijing 100044, China (corresponding author). E-mail: [email protected]
Cuiping Zhang [email protected]
Graduate, MOE Key Laboratory for Transportation Complex Systems Theory and Technology, Beijing Jiaotong Univ., Beijing 100044, China. E-mail: [email protected]
Professor, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing 100044, China. E-mail: [email protected]
Bingfeng Si [email protected]
Associate Professor, MOE Key Laboratory for Transportation Complex Systems Theory and Technology, Beijing Jiaotong Univ., Beijing 100044, China. E-mail: [email protected]

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