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First published online January 1, 2012

Joint Model of Residential Relocation Choice and Underlying Causal Factors

Abstract

Residential location choice is a key determinant of activity–travel behavior, yet little is known about the reasons why people choose to move or not move residences. Such understanding is critical to being able to model residential location choices over time and design built environments that people find appealing. This paper attempts to fill this gap by developing a joint model of the choice to move residence and the primary reason behind the move. The model is estimated on the Florida subsample of the 2009 U.S. National Household Travel Survey. Model results shed considerable light on the socioeconomic and demographic variables that affect a household's decision whether to move residence and the primary reason underlying that decision.

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References

1. Guo J.Y., and Bhat C. R. Operationalizing the Concept of Neighborhood: Application to Residential Choice Analysis. Journal of Transport Geography, Vol. 15, No. 1, 2007, pp. 31–45.
2. Lee B. H. Y., and Waddell P. A. Residential Mobility and Location Choice: A Nested Logit Model with Sampling of Alternatives. Transportation, Vol. 37, No. 4, 2010, pp. 587–601.
3. Bailey N., and Livingston M. Selective Migration and Neighbourhood Deprivation: Evidence from 2001 Census Migration Data for England and Scotland. Urban Studies, Vol. 45, No. 4, 2008, pp. 943–961.
4. Prillwitz J., and Lanzendorf M. Interactions Between Residential Relocations, Life Course Events, and Daily Commuting Distances. In Transportation Research Record: Journal of the Transportation Research Board, No. 2021, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 64–69.
5. Mulder C.H., and Cooke T. J. Family Ties and Residential Locations. Population, Space, and Place, Vol. 15, No. 4, 2009, pp. 299–304.
6. Gobillon L., and Wolff F.-C. Housing and Location Choices of Retiring Households: Evidence from France. Urban Studies, Vol. 48, No. 2, 2011, pp. 331–347.
7. Eluru N., Pinjari A.R., Guo J.Y., Sener I.N., Srinivasan S., Copperman R.B., and Bhat C. R. Population Updating System Structures and Models Embedded in the Comprehensive Econometric Microsimulator for Urban Systems. In Transportation Research Record: Journal of the Transportation Research Board, No. 2076, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 171–182.
8. Olaru D., Smith B., and Taplin J. H. E. Residential Location and Transit-Oriented Development in a New Rail Corridor. Transportation Research Part A, Vol. 45, No. 3, 2011, pp. 219–237.
9. Kim M.J., and Morrow-Jones H. A. Current Determinants of Residential Location Decisions. In Access to Destinations (Levinson D.M. and Krizek K. J., eds.), North-Holland Elsevier Science, New York, 2005, pp. 149–170.
10. De Groot C., Mulder C.H., Das M., and Manting D. Life Events and the Gap Between Intention to Move and Actual Mobility. Environment and Planning A, Vol. 43, No. 1, 2011, pp. 48–66.
11. Clark W. A. V., Deurloo M.C., and Dieleman F. M. Housing Careers in the United States, 1968–93: Modelling the Sequencing of Housing States. Journal of Urban Studies, Vol. 40, No. 1, 2003, pp. 143–160.
12. Boheim R., and Taylor M. P. Tied Down or Room to Move? Investigating the Relationships Between Housing Tenure, Employment Status and Residential Mobility in Britain. Scottish Journal of Political Economy, Vol. 49, No. 4, 2002, pp. 369–392.
13. Hipp J. R. A Dynamic View of Neighborhoods: The Reciprocal Relationship Between Crime and Neighborhood Structural Characteristics. Social Problems, Vol. 57, No. 2, 2010, pp. 205–230.
14. Gibbons S., and Machin S. Valuing School Quality, Better Transport, and Lower Crime: Evidence from House Prices. Oxford Review of Economic Policy, Vol. 24, No. 1, 2008, pp. 99–119.
15. Bhat C.R., and Guo J. Y. A Mixed Spatially Correlated Logit Model: Formulation and Application to Residential Choice Modeling. Transportation Research Part B, Vol. 38, No. 2, 2004, pp. 147–168.
16. Kan K. Residential Mobility and Social Capital. Journal of Urban Economics, Vol. 61, No. 3, 2007, pp. 436–457.
17. Vega A., and Reynolds-Feighan A. 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, Vol. 43, No. 4, 2009, pp. 401–419.
18. Lee B. H. Y., Waddell P.A., Wang L., and Pendyala R. M. Reexamining the Influence of Work and Nonwork Accessibility on Residential Location Choices with a Microanalytic Framework. Environmental Planning A, Vol. 42, No. 4, 2010, pp. 913–930.
19. Haugen K., Holm E., Strömgren M., Vilhelmson B., and Westin K. Proximity, Accessibility, and Choice: A Matter of Taste or Condition? Papers in Regional Science, Vol. 91, No. 1, 2012, pp. 65–84.
20. Chen J., Chen C., and Timmermans H. J. P. Accessibility Trade-Offs in Household Residential Location Choice Decisions. In Transportation Research Record: Journal of the Transportation Research Board, No. 2077, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 71–79.
21. Zondag B., and Pieters M. Influence of Accessibility on Residential Location Choice. In Transportation Research Record: Journal of the Transportation Research Board, No. 1902, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 63–70.
22. Ajzen I., and Fishbein M. The Influence of Attitudes on Behavior. The Handbook of Attitudes (Albarracin D., Johnson B.T., and Zanna M. P., eds.), Lawrence Erlbaum Associates Publishers, Mahwah, N.J., 2005, pp. 173–221.
23. Van Acker V., Van Wee B., and Witlox F. When Transport Geography Meets Social Psychology: Toward a Conceptual Model of Travel Behaviour. Transport Reviews, Vol. 30, No. 2, 2010, pp. 219–240.
24. Collantes G.O., and Mokhtarian P. L. Subjective Assessments of Personal Mobility: What Makes the Difference Between a Little and a Lot? Transport Policy, Vol. 14, No. 3, 2007, pp. 181–192.
25. Scheiner J., and Holz-Rau C. Travel Mode Choice: Affected by Objective or Subjective Determinants? Transportation, Vol. 34, No. 4, 2007, pp. 487–511.
26. Seraj S., Sidharthan R., Bhat C.R., Pendyala R.M., and Goulias K. G. Parental Attitudes Toward Children Walking and Bicycling to School: A Multivariate Ordered Response Analysis. In Transportation Research Record: Journal of the Transportation Research Board, No. 2323, Transportation Research Board of the National Academies, Washington, D.C., 2012, pp. 46–55.
27. Eluru N., Sener I.N., Bhat C.R., Pendyala R.M., and Axhausen K. W. Understanding Residential Mobility: Joint Model of the Reason for Residential Relocation and Stay Duration. In Transportation Research Record: Journal of the Transportation Research Board, No. 2133, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 64–74.
28. Ettema D., Arentze T., and Timmermans H. Social Influences on Household Location, Mobility, and Activity Choice in Integrated Micro-Simulation Models. Transportation Research Part A, Vol. 45, No. 4, 2011, pp. 283–295.
29. Waddell P. Modeling Residential Location in UrbanSim. Advances in Spatial Science (Pagliara F., Preston J., and Simmonds D., eds.), Springer, Heidelberg, Germany, 2010, pp. 165–180.
30. Miller E.J., Farooq B., Chingcuanco F., and Wang D. Microsimulating Urban Spatial Dynamics: Historical Validation Tests Using the ILUTE Model System. Presented at the Workshop on Urban Dynamics, Marbella, Chile, 2010.
31. Beige S., and Axhausen K. W. Long-Term and Mid-Term Mobility Decisions During the Life Course: Experiences with a Retrospective Survey. IATSS Research, Vol. 32, No. 2, 2008, pp. 16–33.
32. Oakil A. T. M., Ettema D., Arentze T., and Timmermans H. A Longitudinal Model of Longer-Term Mobility Decisions: Framework and First Empirical Tests. Journal of Urban Planning and Development, Vol. 137, No. 3, 2011, pp. 220–228.
33. Lee N.J., and Ong S. E. Upward Mobility, House Price Volatility, and Housing Equity. Journal of Housing Economics, Vol. 14, No. 2, 2005, pp. 127–146.
34. Bhat C. R. The MACML Estimation of the Normally-Mixed Multinomial Logit Model. 2011. http://www.caee.utexas.edu/prof/bhat/ABSTRACTS/MACML_Estim_Norm_MML_Model.pdf. Accessed July 20, 2011.
35. Capuano S. The South–North Mobility of Italian College Graduates: An Empirical Analysis. European Sociological Review, forthcoming.
36. Public Policy Institute of California. Just the Facts: Are the Rich Leaving California? 2009. http://www.ppic.org/content/pubs/jtf/JTF_LeavingCAJTF.pdf.
37. Paleti R., Eluru N., and Bhat C. R. Examining the Influence of Aggressive Behavior on Driver Injury Severity in Traffic Crashes. Accident Analysis and Prevention, Vol. 42, No. 6, 2010, pp. 1839–1854.

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Article first published online: January 1, 2012
Issue published: January 2012

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© 2012 National Academy of Sciences.
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Authors

Affiliations

Katherine Kortum
Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, 1 University Station, C1761, Austin TX 78712-0278.
Rajesh Paleti
Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, 1 University Station, C1761, Austin TX 78712-0278.
Chandra R. Bhat
Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, 1 University Station, C1761, Austin TX 78712-0278.
Ram M. Pendyala
School of Sustainable Engineering and the Built Environment, Room ECG252, Arizona State University, Tempe, AZ 85287-5306.

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