IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v104y2017icp281-292.html
   My bibliography  Save this article

Dynamic life course analysis on residential location choice

Author

Listed:
  • Yu, Biying
  • Zhang, Junyi
  • Li, Xia

Abstract

From a behavioral viewpoint, people choose where to live based on various factors, including their current situations, past experience, and plans for the future. Some aspects of residential preference might be constant over time, inherited from the initial stage of life, and other parts might be responses to residential biography or other biographical domains like household structure, employment/education, and travel. Capturing these intertemporal dependences needs a life course analysis of residential location choices. However, a serious methodological gap exists between the perceived importance of dynamic life course analyses and quantitative modeling approaches. This study developed a dynamic choice model with cross-sectional and longitudinal heterogeneities as well as discounted utility (called the DU-DCLH model) to describe the decision-making process for residential relocation by incorporating various intertemporal dependences over the life course. Model parameters were estimated using data collected from a life history survey conducted in Japan in 2010. The estimation results firstly confirm the effectiveness of the DU-DCLH model for portraying the dynamics of residential mobility over a life course. Next, it was found that previous experiences dominate decisions on residential location choice and can explain more than 75% of the total variations in choice. It was also revealed that as the mobility age increases, the influence of the past on their choices increases continuously. In contrast, the influence of the present situation is small and almost negligible. Furthermore, the study empirically confirmed not only the influence of time-constant and time-varying preference for residential neighborhoods but also the specific influence of household biography, employment/education biography, and travel biography. This study enriches the existing research by providing a systematic modeling framework incorporating broader behavioral mechanisms for residential location choice over the life course.

Suggested Citation

  • Yu, Biying & Zhang, Junyi & Li, Xia, 2017. "Dynamic life course analysis on residential location choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 281-292.
  • Handle: RePEc:eee:transa:v:104:y:2017:i:c:p:281-292
    DOI: 10.1016/j.tra.2017.01.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856416302464
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. repec:eee:jotrge:v:46:y:2015:i:c:p:151-163 is not listed on IDEAS
    2. Wilbert van der Klaauw, 2012. "On the Use of Expectations Data in Estimating Structural Dynamic Choice Models," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 521-554.
    3. repec:eee:jotrge:v:42:y:2015:i:c:p:98-109 is not listed on IDEAS
    4. Rishin Roy & Pradeep K. Chintagunta & Sudeep Haldar, 1996. "A Framework for Investigating Habits, “The Hand of the Past,” and Heterogeneity in Dynamic Brand Choice," Marketing Science, INFORMS, vol. 15(3), pages 280-299.
    5. Sigrun Beige & Kay Axhausen, 2012. "Interdependencies between turning points in life and long-term mobility decisions," Transportation, Springer, vol. 39(4), pages 857-872, July.
    6. Hill Kulu, 2008. "Fertility and spatial mobility in the life course: evidence from Austria," Environment and Planning A, Pion Ltd, London, vol. 40(3), pages 632-652, March.
    7. Chan, Sewin & Stevens, Ann Huff, 2004. "Do changes in pension incentives affect retirement? A longitudinal study of subjective retirement expectations," Journal of Public Economics, Elsevier, vol. 88(7-8), pages 1307-1333, July.
    8. Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
    9. Taha Rashidi & Abolfazl Mohammadian & Frank Koppelman, 2011. "Modeling interdependencies between vehicle transaction, residential relocation and job change," Transportation, Springer, vol. 38(6), pages 909-932, November.
    10. Scheiner, Joachim & Holz-Rau, Christian, 2013. "A comprehensive study of life course, cohort, and period effects on changes in travel mode use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 167-181.
    11. Hill Kulu, 2008. "Fertility and Spatial Mobility in the Life Course: Evidence from Austria," Environment and Planning A, , vol. 40(3), pages 632-652, March.
    12. Swait, Joffre & Adamowicz, Wiktor L. & van Bueren, Martin, 2000. "Choice And Temporal Welfare Impacts: Dynamic Gev Discrete Choice Models," Staff Paper Series 24113, University of Alberta, Department of Resource Economics and Environmental Sociology.
    13. Roy, Abhik, 1998. "An error components approach to segmentation and modelling brand choice dynamics," Journal of Economic Psychology, Elsevier, vol. 19(4), pages 463-484, August.
    14. Yu, Biying & Tian, Yaming & Zhang, Junyi, 2015. "A dynamic active energy demand management system for evaluating the effect of policy scheme on household energy consumption behavior," Energy, Elsevier, vol. 91(C), pages 491-506.
    15. Hill Kulu & Fiona Steele, 2013. "Interrelationships Between Childbearing and Housing Transitions in the Family Life Course," Demography, Springer;Population Association of America (PAA), vol. 50(5), pages 1687-1714, October.
    16. Biying, Yu & Zhang, Junyi & Fujiwara, Akimasa, 2012. "Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects," Energy Policy, Elsevier, vol. 46(C), pages 319-334.
    17. Cynthia Chen & Jason Chen & Harry Timmermans, 2009. "Historical Deposition Influence in Residential Location Decisions: A Distance-Based GEV Model for Spatial Correlation," Environment and Planning A, , vol. 41(11), pages 2760-2777, November.
    18. Tillema, Taede & van Wee, Bert & Ettema, Dick, 2010. "The influence of (toll-related) travel costs in residential location decisions of households: A stated choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 785-796, December.
    19. van der Klaauw, Wilbert & Wolpin, Kenneth I., 2008. "Social security and the retirement and savings behavior of low-income households," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 21-42, July.
    20. repec:eee:jotrge:v:34:y:2014:i:c:p:165-174 is not listed on IDEAS
    21. Cynthia Chen & Jason Chen & Harry Timmermans, 2009. "Historical deposition influence in residential location decisions: a distance-based GEV model for spatial correlation," Environment and Planning A, Pion Ltd, London, vol. 41(11), pages 2760-2777, November.
    22. Paul A. Samuelson, 1937. "A Note on Measurement of Utility," Review of Economic Studies, Oxford University Press, vol. 4(2), pages 155-161.
    23. repec:eee:jotrge:v:19:y:2011:i:2:p:294-303 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:kap:transp:v:46:y:2019:i:3:d:10.1007_s11116-018-9868-5 is not listed on IDEAS
    2. repec:kap:transp:v:46:y:2019:i:4:d:10.1007_s11116-017-9848-1 is not listed on IDEAS

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:104:y:2017:i:c:p:281-292. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.