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An Analysis of Residential Location Choice Behaviour in Oxfordshire, Uk: A Combined Stated Preference Approach

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  • Jae-Hong Kim
  • Francesca Pagliara
  • John Preston

Abstract

This paper proposes and applies a combined stated preference approach in order to estimate residential location choice behaviour in Oxfordshire, UK. The estimation results demonstrate the potentials for the combined estimation of two stated preference experiments. Our findings show that the transport related attributes have significant impacts on residential location choice. The estimated monetary values of one minute of commuting time and one pence of commuting cost are equivalent to £6,339 and £883 with regard to house price, while the estimated value of time is 7.18 pence per minute. Higher quality of school has a significantly positive effect, while higher density and central city location have a significantly negative impact on residential location choice. The simulation results based on the model estimates suggest that the best location for new housing development varies with commuting patterns, spatial job distribution, and the changes of attributes influencing residential location choice.

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  • Jae-Hong Kim & Francesca Pagliara & John Preston, 2003. "An Analysis of Residential Location Choice Behaviour in Oxfordshire, Uk: A Combined Stated Preference Approach," International Review of Public Administration, Taylor & Francis Journals, vol. 8(1), pages 103-114, July.
    • Handle: RePEc:taf:rrpaxx:v:8:y:2003:i:1:p:103-114
    DOI: 10.1080/12294659.2003.10805021
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    Cited by:

    1. Vincenzo Del Giudice & Pierfrancesco De Paola & Torrieri Francesca & Peter J. Nijkamp & Aviad Shapira, 2019. "Real Estate Investment Choices and Decision Support Systems," Sustainability, MDPI, vol. 11(11), pages 1-18, June.
    2. Melinda Matyas & Maria Kamargianni, 2019. "Survey design for exploring demand for Mobility as a Service plans," Transportation, Springer, vol. 46(5), pages 1525-1558, October.
    3. Del Giudice, V. & De Paola, P. & Torrieri, F. & Pagliari, F., 2009. "A decision support system for real estate investment choice," Serie Research Memoranda 0010, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Song, Shan & Wang, De & Zhu, Wei & Wang, Can, 2020. "Study on the spatial configuration of nursing homes for the elderly people in Shanghai: Based on their choice preference," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    5. Jia Guo & Tao Feng & Harry J. P. Timmermans, 2020. "Modeling co-dependent choice of workplace, residence and commuting mode using an error component mixed logit model," Transportation, Springer, vol. 47(2), pages 911-933, April.
    6. Brian Lee & Paul Waddell, 2010. "Residential mobility and location choice: a nested logit model with sampling of alternatives," Transportation, Springer, vol. 37(4), pages 587-601, July.
    7. Sebastian Scheuer & Dagmar Haase & Annegret Haase & Nadja Kabisch & Manuel Wolff & Nina Schwarz & Katrin Großmann, 2020. "Combining tacit knowledge elicitation with the SilverKnETs tool and random forests – The example of residential housing choices in Leipzig," Environment and Planning B, , vol. 47(3), pages 400-416, March.
    8. Jae Hong Kim & Francesca Pagliara & John Preston, 2005. "The Intention to Move and Residential Location Choice Behaviour," Urban Studies, Urban Studies Journal Limited, vol. 42(9), pages 1621-1636, August.

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