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Transport Facilities And Residential Choice Behavior: A Model Of Multi‐Person Choice Processes

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  • Aloys Borgers
  • Harry Timmermans

Abstract

ABSTRACT The aim of this paper is to gain further insight into the way in which residential location choice behavior is related to the existence of public transport facilities and to distance to the workplace. More specifically, the objectives of this paper are twofold. The first objective is to gain more insight into the influence of the characteristics of residential locations on residential location choice behavior The selected characteristics are related to three aspects: (a) the residence itself (dwelling type, costs, type of neighborhood); (b) the transportation facilities in the residential neighborhood (frequency of bus services, availability of railway station, accessibility to main road system); and (c) the travel time from the residential location to the workplace (car, public transportation, and bike). The second objective is to test a model of joint (multi‐person) decision making behavior. The results of this research indicate that the preference for a particular residential location is highly dependent on the characteristics of the dwelling and its environment, and to a lesser extent on the travel time to the workplace. The characteristics pertaining to transportation facilities seem to be less important. These results imply that transportation policy is not necessarily an effective instrument to influence residential choice behavior and the associated mobility.

Suggested Citation

  • Aloys Borgers & Harry Timmermans, 1993. "Transport Facilities And Residential Choice Behavior: A Model Of Multi‐Person Choice Processes," Papers in Regional Science, Wiley Blackwell, vol. 72(1), pages 45-61, January.
    • Handle: RePEc:bla:presci:v:72:y:1993:i:1:p:45-61
    DOI: 10.1111/j.1435-5597.1993.tb01862.x
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    Cited by:

    1. Zhang, Junyi & Fujiwara, Akimasa, 2006. "Representing household time allocation behavior by endogenously incorporating diverse intra-household interactions: A case study in the context of elderly couples," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 54-74, January.
    2. Biancamaria Torquati & Giulia Giacchè & Tiziano Tempesta, 2020. "Landscapes and Services in Peri-Urban Areas and Choice of Housing Location: An Application of Discrete Choice Experiments," Land, MDPI, vol. 9(10), pages 1-21, October.
    3. Chinh Ho & Corinne Mulley, 2015. "Intra-household interactions in transport research: a review," Transport Reviews, Taylor & Francis Journals, vol. 35(1), pages 33-55, January.
    4. 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.
    5. Janke, Julia, 2021. "Re-visiting residential self-selection and dissonance: Does intra-household decision-making change the results?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 379-401.
    6. 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.
    7. Huai, Yue & Lo, Hong K. & Ng, Ka Fai, 2021. "Monocentric versus polycentric urban structure: Case study in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 99-118.
    8. Zhao, Pengjun & Cao, Yushu, 2020. "Commuting inequity and its determinants in Shanghai: New findings from big-data analytics," Transport Policy, Elsevier, vol. 92(C), pages 20-37.
    9. Maat, Kees & Timmermans, Harry J.P., 2009. "Influence of the residential and work environment on car use in dual-earner households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(7), pages 654-664, August.
    10. Hu, Yang & van Wee, Bert & Ettema, Dick, 2023. "Intra-household decisions and the impact of the built environment on activity-travel behavior: A review of the literature," Journal of Transport Geography, Elsevier, vol. 106(C).
    11. Eric J E Molin & Harry J P Timmermans, 2003. "Testing Hierarchical Information Integration Theory: The Causal Structure of Household Residential Satisfaction," Environment and Planning A, , vol. 35(1), pages 43-58, January.
    12. Guo, Jia & Feng, Tao & Zhang, Junyi & Timmermans, Harry J.P., 2020. "Temporal interdependencies in mobility decisions over the life course: A household-level analysis using dynamic Bayesian networks," Journal of Transport Geography, Elsevier, vol. 82(C).
    13. Zhang, Junyi & Timmermans, Harry J. P. & Borgers, Aloys, 2005. "A model of household task allocation and time use," Transportation Research Part B: Methodological, Elsevier, vol. 39(1), pages 81-95, January.

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