• DocumentCode
    735498
  • Title

    Sensitivity analysis on the finance subsidies of regular bus to residents´ traveling choice

  • Author

    Shunxi Li ; Liying Lu ; Chaozhong Wu ; Ming Zhong

  • Author_Institution
    Hubei Key Lab. of Adv. Technol. for Automotive Components, Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2015
  • fDate
    25-28 June 2015
  • Firstpage
    310
  • Lastpage
    317
  • Abstract
    In order to clarify the impact of financial subsidies on residents´ travel choice, the paper used the method of multivariate logistic regression to establish residents travel mode choice. And cost-effectiveness analysis was carried out on the traveling choice of bus, with the benefit cost ratio instead of the benefit function in traditional logit model. Taking Beijing for case study, the paper calculates Beijing´s current situation both with the unmodified and modified logit model, with the probability of residents choosing bus travel increasing from 31.52% to 41.95%. It shows that modified logit model is more accurately described the actual residents travel choice, other than that, to improve the benefit cost ratio of traveling by bus through subsidies. The finding can be used to increase the probability of residents choosing bus travel by using the way of fiance subsidies, and finally to ease the city´s public transportation problem.
  • Keywords
    cost-benefit analysis; probability; public transport; regression analysis; sensitivity analysis; Beijing; benefit cost ratio; bus; cost-effectiveness analysis; finance subsidies; multivariate logistic regression; probability; public transportation problem; resident travel mode choice; sensitivity analysis; unmodified logit model; Analytical models; Economics; Indexes; Probability; Safety; Logit model; Subsidies; Travel choice; the bus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Information and Safety (ICTIS), 2015 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4799-8693-4
  • Type

    conf

  • DOI
    10.1109/ICTIS.2015.7232162
  • Filename
    7232162