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Abstract
This paper deals with the riding behavior of commuters who take trains from a living place to a work place during morning rush hours. The total travel cost include early and late arrival penalties as well as carriage body capacity. An equivalent mathematical programming model which generates equilibrium riding behavior is presented. The number of actually chosen transit runs, passenger flow distributions, and fares resulted from three system configurations namely social optimum, monopoly by one company and duopoly competition, are investigated by numerical examples.
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Authors and Affiliations
School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing, 100083, China
Hai-Jun Huang & Qiong Tian
School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China
Zi-You Gao
- Hai-Jun Huang
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- Qiong Tian
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- Zi-You Gao
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Editors and Affiliations
IBM Almaden Research Center, 650 Harry Road, 95120, San Jose, CA,
Nimrod Megiddo
The State Key Lab for Manufacturing Systems Engineering, 710049, Xi’an, P.R. China
Yinfeng Xu
Department of Computer Science, Montana State University, 59717, Bozeman, MT, USA
Binhai Zhu
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© 2005 Springer-Verlag Berlin Heidelberg
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Huang, HJ., Tian, Q., Gao, ZY. (2005). An Equilibrium Model in Urban Transit Riding and Fare Polices. In: Megiddo, N., Xu, Y., Zhu, B. (eds) Algorithmic Applications in Management. AAIM 2005. Lecture Notes in Computer Science, vol 3521. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11496199_14
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