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Is individual environmental consciousness one of the determinants in transport mode choice?

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  • Junyi Shen
  • Yusuke Sakata
  • Yoshizo Hashimoto

Abstract

This article models negative impact on the environment as one of the attributes of transport mode. By this modelling, we are able to examine whether individual environmental consciousness of this impact plays a significant role in his/her choice of transport mode. A survey data from Saito and Onohara Area in Northern Osaka of Japan is used to estimate the model with the Heteroscedastic Extreme Value specification. Both of the estimated and simulated results imply that individual environmental consciousness does influence his/her decision on transport mode choice in the sample. Furthermore, the likelihood ratio tests indicate that both the utility and scale parameters are not equivalent across sub-samples of university commuters, research-facility commuters and residents. The results of the comparison across sub-samples suggest that sometimes we may learn more from sub-dividing a whole sample into several sub-samples if we could distinguish them by their characteristics.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:applec:v:40:y:2008:i:10:p:1229-1239
    DOI: 10.1080/00036840600771296
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    Citations

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    Cited by:

    1. Silvia Banfi & Massimo Filippini & Andrea Horehájová, 2012. "Using a choice experiment to estimate the benefits of a reduction of externalities in urban areas with special focus on electrosmog," Applied Economics, Taylor & Francis Journals, vol. 44(3), pages 387-397, January.
    2. Marletto, Gerardo, 2011. "Structure, agency and change in the car regime. A review of the literature," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 47, pages 71-88.
    3. H. Schmale & T. Ehrmann & A. Dilger, 2013. "Buying without using -- biases of German BahnCard buyers," Applied Economics, Taylor & Francis Journals, vol. 45(7), pages 933-941, March.
    4. Junyi Shen, 2009. "Latent class model or mixed logit model? A comparison by transport mode choice data," Applied Economics, Taylor & Francis Journals, vol. 41(22), pages 2915-2924.
    5. 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.
    6. UnHyo Kim & Jeongwoo Lee & Sylvia Y. He, 2021. "Pedestrianization Impacts on Air Quality Perceptions and Environment Satisfaction: The Case of Regenerated Streets in Downtown Seoul," IJERPH, MDPI, vol. 18(19), pages 1-16, September.
    7. Kavta, Kuldeep & Goswami, Arkopal K., 2022. "Estimating mode choice of motorized two-wheeler commuters under the influence of combined travel demand management measures: An ICLV modeling approach," Transport Policy, Elsevier, vol. 126(C), pages 327-335.
    8. 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.
    9. Cristel Antonia Russell & Dale W. Russell & Heather Honea, 2016. "Corporate Social Responsibility Failures: How do Consumers Respond to Corporate Violations of Implied Social Contracts?," Journal of Business Ethics, Springer, vol. 136(4), pages 759-773, July.

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    More about this item

    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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