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Author:

HAO, Jixiu (HAO, Jixiu.) | ZHOU, Wei (ZHOU, Wei.) | HUANG, Haofeng (HUANG, Haofeng.) | GUAN, Hongzhi (GUAN, Hongzhi.) (Scholars:关宏志)

Indexed by:

EI Scopus CSCD

Abstract:

Urban public transit financial subsidy is one of the key links, which promote public transit priority strategies. It is an important issue of urban traffic sustainable development to establish a specific operable subsidy calculating model and to improve the way to calculate urban public transit subsidy. This study establishes the game model among the income of residents, enterprises operating costs, and subsidies through utility theory. It shows the advantages of classification subsidy of public transit riders and establishes a specific operable subsidy calculating model. Then, the calculation of Beijing public transit subsidies in 2007 is taken as an example. The results indicate that the subsidy classification and the subsidy calculating model not only can fully satisfy the travel demands of public transit riders but also can effectively calculate the subsidy amount, which realizes the utility maximization of government subsidy. The proposed method is proved to be a new effective way to measure urban public transit subsidy. © 2009 China Association for Science and Technology.

Keyword:

Operating costs Systems engineering Urban transportation

Author Community:

  • [ 1 ] [HAO, Jixiu]Highway college, Chang'an University, Xi'an 710064, China
  • [ 2 ] [ZHOU, Wei]Highway college, Chang'an University, Xi'an 710064, China
  • [ 3 ] [HUANG, Haofeng]Research Institute of Highway Ministry of Communications, Beijing 100088, China
  • [ 4 ] [GUAN, Hongzhi]Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing, 100022, China

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Source :

Journal of Transportation Systems Engineering and Information Technology

ISSN: 1570-6672

Year: 2009

Issue: 2

Volume: 9

Page: 11-16

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 16

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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