Kun Gao
College of Transportation Engineering, Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji University Shanghai, P. R. China
Lijun Sun
College of Transportation Engineering, Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji University Shanghai, P. R. China
To explore efficient strategies of adjusting travel mode structure and support scientific implements of public transit system, this paper investigated travelers’ mode choice behavior in a multimodal network incorporating inertia in utility specifications. Comprehensive stated preference surveys considering four modes and four key decisive variables were designed, and face-to-face investigations were conducted to collect reliable data in Shanghai. The discrete choice technique considering mode-specific inertias was employed for modeling. The influencing factors of car stickiness were particularly explored. The results show that there are significant and mode-specific inertias in travelers’ choices of travel mode. The inertia of car users shifting to other modes is considerably large compared to inertias of public transit users. Travel time reliability and crowdedness in public transit are identified to be crucial factors influencing car users’ willingness to use public transit. Demographic attributes (age, income, education level and gender), spatial context features (commuting duration) and the regime of flexible work time are found to be significant influential variables of car stickiness. Moreover, direct and cross elasticity analyses were executed to show practical implications of shifting car users to public transit. The results provide serviceable support for transport planning and strategy making.
SURCTDRI, Multimodal Transportation Operations Annual Report(Year of 2015). 2016, Shanghai Urban and Rural Construction and Transportation Development Research Institute: Shanghai.
Florida UOS,Tampa, MEASURING DAY-TO-DAY VARIABILITY IN TRAVEL BEHAVIOR USING GPS DATA. 2000.
Verplanken B, Aarts H, Knippenberg AV, Habit, information acquisition, and the process of making travel mode choices. European Journal of Social Psychology, 1997. 27(5): p. 539–560.
Gärling T,Axhausen KW, Introduction: Habitual travel choice. Transportation, 2003. 30(1): p. 1-11.
Cantillo V, Juan DDO, Williams HCWL, Modeling Discrete Choices in the Presence of Inertia and Serial Correlation. Transportation Science, 2007. 41(2): p. 195-205.
Yáñez MF, Cherchi E, Ortúzar DD, Heydecker BG. Inertia and shock effects on mode choice panel data: implications of the Transantiago implementation. 2009.
Daganzo CF,Sheffi Y, “Multinomial Probit with Time Series Data: Unifying State Dependence and Serial-Cor
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