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A methodological framework for the study of residential location and travel-to-work mode choice under central and suburban employment destination patterns

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  • Vega, Amaya
  • Reynolds-Feighan, Aisling

Abstract

The aim of this paper is to contribute to the methodological questions that arise from the study of the simultaneous choice of residential location and travel-to-work mode under central and non-central or suburban employment patterns. Geographic information system (GIS) visualisations and network analysis are used to generate a choice set based on the definition of spatially aggregated alternatives. Discrete choice models specified as cross-nested logit (CNL) are estimated for each of the two different types of employment patterns and direct and cross elasticities are presented. The analysis is carried out for the Greater Dublin Area, a metropolitan region that is a recent example of rapid employment suburbanisation and residential sprawl in a European context. A simulation exercise, tracing the extent of mode switching and location switching behaviour is undertaken using the framework developed.

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  • Vega, Amaya & Reynolds-Feighan, Aisling, 2009. "A methodological framework for the study of residential location and travel-to-work mode choice under central and suburban employment destination patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 401-419, May.
    • Handle: RePEc:eee:transa:v:43:y:2009:i:4:p:401-419
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    1. Joseph S. DeSalvo & Mobinul Huq, 2005. "Mode Choice, Commuting Cost, and Urban Household Behavior," Journal of Regional Science, Wiley Blackwell, vol. 45(3), pages 493-517, August.
    2. Edward L. Glaeser & Matthew E. Kahn & Jordan Rappaport, 2000. "Why Do The Poor Live In Cities?," Harvard Institute of Economic Research Working Papers 1891, Harvard - Institute of Economic Research.
    3. Amaya Vega & Aisling Reynolds-Feighan, 2007. "Employment sub-centres and the choice of mode of travel to work in the Dublin region," Working Papers 200702, School of Economics, University College Dublin.
    4. Thomas J. Nechyba & Randall P. Walsh, 2004. "Urban Sprawl," Journal of Economic Perspectives, American Economic Association, vol. 18(4), pages 177-200, Fall.
    5. Daly, Andrew & Bierlaire, Michel, 2006. "A general and operational representation of Generalised Extreme Value models," Transportation Research Part B: Methodological, Elsevier, vol. 40(4), pages 285-305, May.
    6. Javier Romani & Jordi Surinach & Manuel Artiis, 2003. "Are Commuting and Residential Mobility Decisions Simultaneous?: The Case of Catalonia, Spain," Regional Studies, Taylor & Francis Journals, vol. 37(8), pages 813-826.
    7. Small, Kenneth A & Winston, Clifford & Yan, Jia, 2002. "Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability: Implications for Road Pricing," University of California Transportation Center, Working Papers qt8zd2r34k, University of California Transportation Center.
    8. M C Fleming & J G Nellis, 1985. "Research Policy and Review 2. House-Price Statistics for the United Kingdom: A Survey and Critical Review of Recent Developments," Environment and Planning A, , vol. 17(3), pages 297-318, March.
    9. Denis Conniffe & David Duffy, 1999. "Irish House Price Indices — Methodological Issues," The Economic and Social Review, Economic and Social Studies, vol. 30(4), pages 403-423.
    10. Quigley, John M., 1985. "Consumer choice of dwelling, neighborhood and public services," Regional Science and Urban Economics, Elsevier, vol. 15(1), pages 41-63, February.
    11. Michel Bierlaire, 2006. "A theoretical analysis of the cross-nested logit model," Annals of Operations Research, Springer, vol. 144(1), pages 287-300, April.
    12. Freedman, Ora & Kern, Clifford R., 1997. "A model of workplace and residence choice in two-worker households," Regional Science and Urban Economics, Elsevier, vol. 27(3), pages 241-260, June.
    13. Boarnet, Marlon & Crane, Randall, 2001. "The influence of land use on travel behavior: specification and estimation strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 823-845, November.
    14. A. Stewart Fotheringham, 1988. "Note—Consumer Store Choice and Choice Set Definition," Marketing Science, INFORMS, vol. 7(3), pages 299-310.
    15. Brown, Barbara, 1986. "Modal choice, location demand, and income," Journal of Urban Economics, Elsevier, vol. 20(2), pages 128-139, September.
    16. Deitz, Richard, 1998. "A Joint Model of Residential and Employment Location in Urban Areas," Journal of Urban Economics, Elsevier, vol. 44(2), pages 197-215, September.
    17. Jonas Eliasson & Lars-Göran Mattsson, 2001. "Transport and Location Effects of Road Pricing: A Simulation Approach," Journal of Transport Economics and Policy, University of Bath, vol. 35(3), pages 417-456, September.
    18. Carlsson-Kanyama, Annika & Linden, Anna-Lisa, 1999. "Travel patterns and environmental effects now and in the future:: implications of differences in energy consumption among socio-economic groups," Ecological Economics, Elsevier, vol. 30(3), pages 405-417, September.
    19. Papola, Andrea, 2004. "Some developments on the cross-nested logit model," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 833-851, November.
    20. LeRoy, Stephen F. & Sonstelie, Jon, 1983. "Paradise lost and regained: Transportation innovation, income, and residential location," Journal of Urban Economics, Elsevier, vol. 13(1), pages 67-89, January.
    21. Wen, Chieh-Hua & Koppelman, Frank S., 2001. "The generalized nested logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 627-641, August.
    22. Amaya Vega & Aisling Reynolds-Feighan, 2008. "Employment Sub-centres and Travel-to-Work Mode Choice in the Dublin Region," Urban Studies, Urban Studies Journal Limited, vol. 45(9), pages 1747-1768, August.
    23. Bhat, Chandra R. & Guo, Jessica, 2004. "A mixed spatially correlated logit model: formulation and application to residential choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 147-168, February.
    24. White, Michelle J., 1988. "Location choice and commuting behavior in cities with decentralized employment," Journal of Urban Economics, Elsevier, vol. 24(2), pages 129-152, September.
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