Travel behavior analysis of different-regional passengers for Public Transport Corridor in Shanghai
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    Abstract:

    Through the passenger behavior survey of public transport corridor in Shanghai, this paper proposes a revealed preference/stated preference (RP/SP) combined Nested Logit model. Based upon the discrete choice theory, the proposed model analyzes qualitatively and quantitatively the travel behavior of differentregional passengers and some factors which influence their behavior. And then the paper researches the spatial transferability of this model. Finally, the model aims to simulate the travel behavior of differentregional passengers upon different policy scenarios. The results shows that in urban public transportation corridor, the factors which influence passenger travel behavior are different because they come from different regions. Secondly, for differentregional passengers, their preference of public mode may also be different. Thirdly, there are differences among the sensibilities of differentregional passengers to some factors which influence their travel behavior. Relying on data collection, modeling, parameter calibration and simulation, the paper provides a method of analyzing travel behavior for differentregional passengers, which may be a useful tool for function optimization and efficiency enhancement of urban public transport corridor.

    Reference
    1)Ben-Akiva, M., Lerman, S., 1985. Discrete Choice Analysis. MIT Press, Massachusetts.
    2)Bliemer, M., Rose, J., Hensher, D.A., 2009. Efficient stated choice experiments for estimating nested logit models. Transportation Research B 43, 19–35.
    3)Cirillo, C, Axhausen, K.W., 2006. Evidence on the distribution of values of travel time savings from a six-week diary. Transportation Research 40A, 444–457.
    4)Dissanayake, D., 2001. Urban Transport Policy Analysis for Developing Countries, Doctoral Thesis. Nagoya University.
    5)Dissanayake, Morikawa, 2010. Investigating household vehicle ownership, mode choice and trip sharing decisions using a combined revealed pReference/stated pReference Nested Logit model: case study in Bangkok Metropolitan Region. Journal of Transport Geography 18,402-410.
    6)Hensher, D.A. Greene, W.H., 2002. The Mixed Logit Model: The State of Practice, WORKING PAPER, ITS-WP-02-01.
    7)Hess, S., Daly, A., Rohr, C., Hyman, G., 2007. On the development of time period and mode choice models for use in large scale modeling forecasting systems. Transportation Research A 41, 802–826.
    8)Karasmaa, N., 2001. The Spatial Transferability of the Helsinki Metropolitan Area Mode Choice Models. In: Proceedings of the 5th Workshop of the Nordic Research Network on Modeling Transport, Land Use and the Environment, September 28–30.
    9)Koppelman, F.S., Wilmot, C.G., 1982. Transferability analysis of disaggregate choice models. Transportation Research Record 895, 1982.
    10)Roman, Espin, 2009. Analyzing Comprtition between the High Speed Tran and Alternative Modes. The Case of the Madrid-Zaragoza-Barcelona Corridor. Journal of Choice Modelling 3,84-108.
    11)Santoso, D.S, Tsunokawa, K., 2005. Spatial transferability and updating analysis of mode choice models in developing countries. Transportation Planning and Technology 28 (5), 341–358.
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DI di, YANG Dongyuan. Travel behavior analysis of different-regional passengers for Public Transport Corridor in Shanghai[J].同济大学学报(自然科学版),2016,44(3):0369~0376

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History
  • Received:March 17,2015
  • Revised:December 17,2015
  • Adopted:October 10,2015
  • Online: March 24,2016
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