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Intended-Mobility Responses to Inner-City School Closure

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  • A G Phipps
  • W J Holden

Abstract

The simulated impact of a school closure on the intended mobility of approximately one hundred inner-city households is traced by utilizing a refined stress-resistance model of household mobility. The substantive finding is that 69% of the surveyed households would be more likely to be intending to move if the simulated change to a 25-minute to 30-minute bus ride to the nearest school were to occur. This finding, which represents a massive jump over the 19% that would be intending to move due to stress with their actual experienced levels of their residential attributes, became the focus for challenge of a behavioural approach to modelling residential mobility by the Saskatoon Public Board of Education. Vulnerabilities of this type of modelling in an adversarial planning situation are discussed.

Suggested Citation

  • A G Phipps & W J Holden, 1985. "Intended-Mobility Responses to Inner-City School Closure," Environment and Planning A, , vol. 17(9), pages 1169-1183, September.
    • Handle: RePEc:sae:envira:v:17:y:1985:i:9:p:1169-1183
    DOI: 10.1068/a171169
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    References listed on IDEAS

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    1. W. A. V. Clark & Allan D. Heskin, 1982. "The Impact of Rent Control on Tenure Discounts and Residential Mobility," Land Economics, University of Wisconsin Press, vol. 58(1), pages 109-117.
    2. Yoshio Takane & Forrest Young & Jan Leeuw, 1980. "An individual differences additive model: An alterating least squares method with optimal scaling features," Psychometrika, Springer;The Psychometric Society, vol. 45(2), pages 183-209, June.
    3. Weinberg, Daniel H. & Friedman, Joseph & Mayo, Stephen K., 1981. "Intraurban residential mobility: The role of transactions costs, market imperfections, and household disequilibrium," Journal of Urban Economics, Elsevier, vol. 9(3), pages 332-348, May.
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    Cited by:

    1. Malczewski, Jacek & Jackson, Marlene, 2000. "Multicriteria spatial allocation of educational resources: an overview," Socio-Economic Planning Sciences, Elsevier, vol. 34(3), pages 219-235, September.

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