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An endogenous switching simultaneous equation system of employment, income, and car ownership

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  • Bhat, Chandra R.
  • Koppelman, Frank S.

Abstract

The research presented here makes an advance toward the inclusion of employment and income within a transportation framework based on the conceptual framework developed by the authors in a preceding paper. Employment and income are important determinants of travel behavior. They have been used as exogenous variables in travel forecasting models such as trip generation models, car ownership models and mode choice models. This paper proposes a fundamental change in the current view of employment and income as exogenous variables in travel demand models. In particular, we emphasize the need, both from a forecasting and estimation point of view, to include employment and income as endogenous variables within a disaggregate travel demand modeling framework. The paper formulates and estimates an integrated model of employment, income and car ownership, which takes account of interdependencies among these variables and their structural relationships with relevant exogenous variables.

Suggested Citation

  • Bhat, Chandra R. & Koppelman, Frank S., 1993. "An endogenous switching simultaneous equation system of employment, income, and car ownership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(6), pages 447-459, November.
    • Handle: RePEc:eee:transa:v:27:y:1993:i:6:p:447-459
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    Cited by:

    1. Amoh-Gyimah, Richard & Aidoo, Eric Nimako, 2013. "Mode of transport to work by government employees in the Kumasi metropolis, Ghana," Journal of Transport Geography, Elsevier, vol. 31(C), pages 35-43.
    2. Bhat, Chandra R. & Pulugurta, Vamsi, 1998. "A comparison of two alternative behavioral choice mechanisms for household auto ownership decisions," Transportation Research Part B: Methodological, Elsevier, vol. 32(1), pages 61-75, January.
    3. Sabreena Anowar & Naveen Eluru & Luis F. Miranda-Moreno, 2014. "Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review," Transport Reviews, Taylor & Francis Journals, vol. 34(4), pages 441-473, July.
    4. William Greene, 2014. "Models for ordered choices," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 15, pages 333-362, Edward Elgar Publishing.
    5. Sabreena Anowar & Shamsunnahar Yasmin & Naveen Eluru & Luis Miranda-Moreno, 2014. "Analyzing car ownership in Quebec City: a comparison of traditional and latent class ordered and unordered models," Transportation, Springer, vol. 41(5), pages 1013-1039, September.
    6. Arun Kuppam & Ram Pendyala, 2001. "A structural equations analysis of commuters' activity and travel patterns," Transportation, Springer, vol. 28(1), pages 33-54, February.
    7. Jie Song & Ruoniu Wang, 2017. "Measuring the Spatial Dimension of Automobile Ownership and Its Associations with Household Characteristics and Land Use Patterns: A Case Study in Three Counties, South Florida (USA)," Sustainability, MDPI, vol. 9(4), pages 1-19, April.
    8. Bhat, Chandra R. & Singh, Sujit K., 2000. "A comprehensive daily activity-travel generation model system for workers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(1), pages 1-22, January.
    9. Cinzia Cirillo & Yangwen Liu & Jean-Michel Tremblay, 2017. "Simulation, numerical approximation and closed forms for joint discrete continuous models with an application to household vehicle ownership and use," Transportation, Springer, vol. 44(5), pages 1105-1125, September.
    10. Cheng, Wen & Gill, Gurdiljot Singh & Sakrani, Taha & Ralls, Dennis & Jia, Xudong, 2018. "Modeling the endogeneity of lane-mean speeds and lane-speed deviations using a Bayesian structural equations approach with spatial correlation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 220-231.
    11. Selod,Harris & Soumahoro,Souleymane, 2020. "Big Data in Transportation : An Economics Perspective," Policy Research Working Paper Series 9308, The World Bank.
    12. Juan Laborda & María José Moral, 2020. "Automotive Aftermarket Forecast in a Changing World: The Stakeholders’ Perceptions Boost!," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    13. Yao, Mingzhu & Wang, Donggen & Yang, Hai, 2017. "A game-theoretic model of car ownership and household time allocation," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 667-685.
    14. Mierzejewska Lidia & Parysek Jerzy J., 2014. "Integrated planning of the development of a city in terms of the diurnal activity of its residents," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 25(25), pages 1-11, September.
    15. Jin, Jangik & Rafferty, Peter, 2017. "Does congestion negatively affect income growth and employment growth? Empirical evidence from US metropolitan regions," Transport Policy, Elsevier, vol. 55(C), pages 1-8.

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