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The Influence of Environmental Deterioration and Network Improvement on Transport Modal Choice

Author

Listed:
  • Yusuke Sakata

    (Departmen of Economics, Kinki University)

  • Junyi Shen

    (Osaka School of Interna ional Public Policy, Osaka University)

  • Yoshizo Hashimoto

    (Osaka School of Interna ional Public Policy, Osaka University)

Abstract

Transport modal choice is considered to be influenced by natural environmental change and transport network improvement. This paper reveals how these impacts affect individuals f decisions on selecting transport mode under an extension plan of Osaka Monorail Loop-line. To estimate these impacts, a Stated Choice (SC) experiment is carried out for collecting the neighborhood data around the monorail fs extended area. Our model is estimated by the Heteroscedastic Extreme Value (HEV) specification in order to avoid Independence from Irrelevant Alternatives (IIA) assumption in the Multinomial Logit (MNL) model. Both the results of full-sample and sub-sample data imply that residents prefer public transport modes (monorail or bus) to private car when either natural environment becomes worse or transport network is improved.

Suggested Citation

  • Yusuke Sakata & Junyi Shen & Yoshizo Hashimoto, 2006. "The Influence of Environmental Deterioration and Network Improvement on Transport Modal Choice," Discussion Papers in Economics and Business 06-04, Osaka University, Graduate School of Economics.
    • Handle: RePEc:osk:wpaper:0604
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    File URL: http://www2.econ.osaka-u.ac.jp/library/global/dp/0604.pdf
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    References listed on IDEAS

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    1. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    2. Javier Asensio, 2002. "Transport Mode Choice by Commuters to Barcelona's CBD," Urban Studies, Urban Studies Journal Limited, vol. 39(10), pages 1881-1895, September.
    3. Maier, Gunther & Bergman, Edward M. & Lehner, Patrick, 2002. "Modelling preferences and stability among transport alternatives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(5), pages 319-334, September.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    5. Junyi Shen & Yusuke Sakata & Yoshizo Hashimoto, 2008. "Is individual environmental consciousness one of the determinants in transport mode choice?," Applied Economics, Taylor & Francis Journals, vol. 40(10), pages 1229-1239.
    6. Fernando San Miguel & Mandy Ryan & Emma McIntosh, 2000. "Applying conjoint analysis in economic evaluations: an application to menorrhagia," Applied Economics, Taylor & Francis Journals, vol. 32(7), pages 823-833.
    7. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    8. Bresson, Georges & Dargay, Joyce & Madre, Jean-Loup & Pirotte, Alain, 2004. "Economic and structural determinants of the demand for public transport: an analysis on a panel of French urban areas using shrinkage estimators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(4), pages 269-285, May.
    9. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What Affects Commute Mode Choice: Neighborhood Physical Structure or Preferences Toward Neighborhoods?," University of California Transportation Center, Working Papers qt4nq9r1c9, University of California Transportation Center.
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    Citations

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    Cited by:

    1. Hakim Hammadou & Claire Papaix, 2015. "Policy packages for modal shift and CO2 reduction in Lille, France," Working Papers 1501, Chaire Economie du climat.
    2. Junyi Shen & Yusuke Sakata & Yoshizo Hashimoto, 2006. "A Comparison between Latent Class Model and Mixed Logit Model for Transport Mode Choice: Evidences from Two Datasets of Japan," Discussion Papers in Economics and Business 06-05, Osaka University, Graduate School of Economics.
    3. Yamaguchi, Yohei & Akai, Kenju & Shen, Junyi & Fujimura, Naoki & Shimoda, Yoshiyuki & Saijo, Tatsuyoshi, 2013. "Prediction of photovoltaic and solar water heater diffusion and evaluation of promotion policies on the basis of consumers’ choices," Applied Energy, Elsevier, vol. 102(C), pages 1148-1159.
    4. De Witte, Astrid & Hollevoet, Joachim & Dobruszkes, Frédéric & Hubert, Michel & Macharis, Cathy, 2013. "Linking modal choice to motility: A comprehensive review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 329-341.

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    More about this item

    Keywords

    Environmental Deterioration; Network improvement; Network externality; Choice Model (CM); Heteroscedastic Extreme Value (HEV) Model;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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