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The Influence of Accessibility on Residential Location

In: Residential Location Choice

Author

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  • Jonas Eliasson

    (Royal Institute of Technology)

Abstract

The focus of this paper is on modeling the influence of accessibility on the household’s location decision. Our main theoretical contribution is an elaborate specification of what we should mean by “accessibility” in this context. This is done by assuming that households make a joint choice of location and activity pattern subject to income and time constraints. This activity pattern implies a stochastic travel pattern, the expected value of which is known at the time of location. The locational utility then consists of four parts: the indirect utility of income and time net of housing cost and expected total travel time and travel cost, the direct utility of the optimal activity pattern, the direct disutility of the expected travel pattern and the direct utility derived from location characteristics. The locational utility is then used in a discrete choice model for the choice of location. In the empirical part of the paper, we present methodology and results from the estimation of TILT, Tool for Integrated analysis of Location and Travel, a land use-transportation model for the Stockholm region. Among other things, we find that the attractiveness of a location increases both with the accessibility to workplaces and with the accessibility to different types of service.

Suggested Citation

  • Jonas Eliasson, 2010. "The Influence of Accessibility on Residential Location," Advances in Spatial Science, in: Francesca Pagliara & John Preston & David Simmonds (ed.), Residential Location Choice, pages 137-164, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-12788-5_7
    DOI: 10.1007/978-3-642-12788-5_7
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    Citations

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    Cited by:

    1. Ioannis Baraklianos & Louafi Bouzouina & Patrick Bonnel & Hind Aissaoui, 2020. "Does the accessibility measure influence the results of residential location choice modelling?," Transportation, Springer, vol. 47(3), pages 1147-1176, June.
    2. Eliasson, Jonas & Savemark, Christian & Franklin, Joel, 2020. "The impact of land use effects in infrastructure appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 262-276.
    3. Bhat, Chandra R., 2015. "A comprehensive dwelling unit choice model accommodating psychological constructs within a search strategy for consideration set formation," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 161-188.
    4. Houshmand Masoumi, 2021. "Residential Location Choice in Istanbul, Tehran, and Cairo: The Importance of Commuting to Work," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    5. Dalal, Pamela & Chen, Yali & Ravulaparthy, Srinath & Goulias, Konstadinos G., 2012. "Dynamic Opportunity-Based Multipurpose Accessibility Indicators in California," University of California Transportation Center, Working Papers qt474714fg, University of California Transportation Center.
    6. Dalal, Pamela & Chen, Yali & Ravulaparthy, Srinath & Goulias, Konstadinos G., 2011. "Dynamic Opportunity-Based Multipurpose Accessibility Indicators in California," University of California Transportation Center, Working Papers qt2920x3kw, University of California Transportation Center.
    7. Velvart, Joëlle & Dato, Prudence & Kuhlmey, Florian, 2022. "Tailored interventions in a major life decision: A home relocation discrete choice experiment," Working papers 2022/03, Faculty of Business and Economics - University of Basel.
    8. Bouzouina, Louafi & Baraklianos, Ioannis & Bonnel, Patrick & Aissaoui, Hind, 2021. "Renters vs owners: The impact of accessibility on residential location choice. Evidence from Lyon urban area, France (1999–2013)," Transport Policy, Elsevier, vol. 109(C), pages 72-84.
    9. Bjørnson Lunke, Erik, 2023. "Accessibility in a multi-ethnic city: Residential trade-offs among first-time parents," Journal of Transport Geography, Elsevier, vol. 107(C).

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