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Estimating Spatial Interdependence in Automobile Type Choice With Survey Data

Author

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  • Adjemian, Michael
  • Lin, C.Y. Cynthia
  • Williams, Jeffrey
Abstract
In this article, we show that vehicle type ownership is spatially dependent at both the regional and household-level even after controlling for income and population density. We discuss reasons for the existence of spatial effects in vehicle ownership, and note potential implications for policymakers. Our results point to the importance of spatial relationships in transportation research and highlight the hazards of ignoring their role in affecting transportation outcomes. For example, if vehicle type choice is affected by neighborhood spillovers, agencies that regulate traffic flow and road safety could tailor their choice projections and policy tools to account for such interdependence.
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Suggested Citation

  • Adjemian, Michael & Lin, C.Y. Cynthia & Williams, Jeffrey, 2009. "Estimating Spatial Interdependence in Automobile Type Choice With Survey Data," Working Papers 225897, University of California, Davis, Department of Agricultural and Resource Economics.
  • Handle: RePEc:ags:ucdavw:225897
    DOI: 10.22004/ag.econ.225897
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    1. Bhat, Chandra R. & Sen, Sudeshna, 2006. "Household vehicle type holdings and usage: an application of the multiple discrete-continuous extreme value (MDCEV) model," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 35-53, January.
    2. James Paul Lesage & Wolfgang Polasek, 2008. "Incorporating Transportation Network Structure in Spatial Econometric Models of Commodity Flows," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(2), pages 225-245.
    3. Adjemian, Michael K. & Cynthia Lin, C.-Y. & Williams, Jeffrey, 2010. "Estimating spatial interdependence in automobile type choice with survey data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 661-675, November.
    4. Raymond J. G. M. Florax & Arno J. Van der Vlist, 2003. "Spatial Econometric Data Analysis: Moving Beyond Traditional Models," International Regional Science Review, , vol. 26(3), pages 223-243, July.
    5. Scott, Darren M. & Kanaroglou, Pavlos S., 2002. "An activity-episode generation model that captures interactions between household heads: development and empirical analysis," Transportation Research Part B: Methodological, Elsevier, vol. 36(10), pages 875-896, December.
    6. Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," University of California Transportation Center, Working Papers qt7vg1057g, University of California Transportation Center.
    7. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    8. Mizuki Kawabata & Qing Shen, 2007. "Commuting Inequality between Cars and Public Transit: The Case of the San Francisco Bay Area, 1990-2000," Urban Studies, Urban Studies Journal Limited, vol. 44(9), pages 1759-1780, August.
    9. Antonio Páez & Darren M Scott, 2007. "Social Influence on Travel Behavior: A Simulation Example of the Decision to Telecommute," Environment and Planning A, , vol. 39(3), pages 647-665, March.
    10. 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.
    11. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    12. Michael Adjemian & Jeffrey Williams, 2009. "Using census aggregates to proxy for household characteristics: an application to vehicle ownership," Transportation, Springer, vol. 36(2), pages 223-241, March.
    13. Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 201-222, March.
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    Cited by:

    1. Adjemian, Michael K. & Cynthia Lin, C.-Y. & Williams, Jeffrey, 2010. "Estimating spatial interdependence in automobile type choice with survey data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 661-675, November.
    2. Alderete Peralta, Ali & Balta-Ozkan, Nazmiye & Longhurst, Philip, 2022. "Spatio-temporal modelling of solar photovoltaic adoption: An integrated neural networks and agent-based modelling approach," Applied Energy, Elsevier, vol. 305(C).
    3. Maani, Sholeh A. & Wang, Xingang & Rogers, Alan, 2015. "Network Effects, Ethnic Capital and Immigrants' Earnings Assimilation: Evidence from a Spatial, Hausman-Taylor Estimation," IZA Discussion Papers 9308, Institute of Labor Economics (IZA).
    4. 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.
    5. Morton, Craig & Anable, Jillian & Yeboah, Godwin & Cottrill, Caitlin, 2018. "The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom," Journal of Transport Geography, Elsevier, vol. 72(C), pages 119-130.
    6. Pettifor, H. & Wilson, C. & Axsen, J. & Abrahamse, W. & Anable, J., 2017. "Social influence in the global diffusion of alternative fuel vehicles – A meta-analysis," Journal of Transport Geography, Elsevier, vol. 62(C), pages 247-261.
    7. Marcel Gérard & Laurent van Malderen, 2012. "Tax Interaction among Walloon Municipalities: Is there Room for Yardstick Competition, Intellectual Trend and Partisan Monopoly Effect?," CESifo Working Paper Series 4025, CESifo.
    8. Macfarlane, Gregory S. & Garrow, Laurie A. & Mokhtarian, Patricia L., 2015. "The influences of past and present residential locations on vehicle ownership decisions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 186-200.
    9. Xingang Wang & Sholeh A. Maani, 2021. "Ethnic regional networks and immigrants' earnings: A spatial autoregressive network approach," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 141-168, February.
    10. Laurent Van Malderen & Bart Jourquin & Isabelle Thomas, 2012. "Employers Transport Plans: Do They Change The Commuting Behaviour Of Workers?," ERSA conference papers ersa12p1048, European Regional Science Association.
    11. Chen, T. Donna & Wang, Yiyi & Kockelman, Kara M., 2015. "Where are the electric vehicles? A spatial model for vehicle-choice count data," Journal of Transport Geography, Elsevier, vol. 43(C), pages 181-188.
    12. Xingang Wang & Sholeh Maani, 2014. "Ethnic capital and self-employment: a spatially autoregressive network approach," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-24, December.
    13. Xingang Wang & Sholeh A. Maani & Alan Rogers, 2021. "Economic Network Effects and Immigrant Earnings," The Economic Record, The Economic Society of Australia, vol. 97(316), pages 78-99, March.
    14. Hankach, Pierre & Gastineau, Pascal & Vandanjon, Pierre-Olivier, 2022. "Multi-scale spatial analysis of household car ownership using distance-based Moran's eigenvector maps: Case study in Loire-Atlantique (France)," Journal of Transport Geography, Elsevier, vol. 98(C).
    15. Laurent Van Malderen & Marcel Gérard, 2012. "Tax Interaction Among Walloon Municipalities: Is There Room For Partisan Monopoly Effect?," ERSA conference papers ersa12p1051, European Regional Science Association.
    16. Illmann, Ulrike & Kluge, Jan, 2019. "Public Charging Infrastructure and the Market Diffusion of Electric Vehicles," IHS Working Paper Series 9, Institute for Advanced Studies.
    17. Maness, Michael & Cirillo, Cinzia & Dugundji, Elenna R., 2015. "Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior," Journal of Transport Geography, Elsevier, vol. 46(C), pages 137-150.
    18. Baltas, George & Saridakis, Charalampos, 2013. "An empirical investigation of the impact of behavioural and psychographic consumer characteristics on car preferences: An integrated model of car type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 92-110.
    19. Páez, Antonio & López, Fernando A. & Ruiz, Manuel & Morency, Catherine, 2013. "Development of an indicator to assess the spatial fit of discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 217-233.
    20. Huaying Gu & Chaoqun Han, 2021. "Analysis of China’s Pure Electric Vehicle Sales Based on Spatial Econometric Models," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(1), pages 1-12, January.
    21. Frank Goetzke & Regine Gerike & Antonio Páez & Elenna Dugundji, 2015. "Social interactions in transportation: analyzing groups and spatial networks," Transportation, Springer, vol. 42(5), pages 723-731, September.
    22. Hackbarth, André & Madlener, Reinhard, 2018. "Combined Vehicle Type and Fuel Type Choices of Private Households: An Empirical Analysis for Germany," FCN Working Papers 17/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised May 2019.

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