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Spatial Preference Modelling for equitable infrastructure provision: an application of Sen’s Capability Approach

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  • Arif Wismadi
  • Mark Zuidgeest
  • Mark Brussel
  • Martin Maarseveen

Abstract

To determine whether the inclusion of spatial neighbourhood comparison factors in Preference Modelling allows spatial decision support systems (SDSSs) to better address spatial equity, we introduce Spatial Preference Modelling (SPM). To evaluate the effectiveness of this model in addressing equity, various standardisation functions in both Non-Spatial Preference Modelling and SPM are compared. The evaluation involves applying the model to a resource location-allocation problem for transport infrastructure in the Special Province of Yogyakarta in Indonesia. We apply Amartya Sen’s Capability Approach to define opportunity to mobility as a non-income indicator. Using the extended Moran’s I interpretation for spatial equity, we evaluate the distribution output regarding, first, ‘the spatial distribution patterns of priority targeting for allocation’ (SPT) and, second, ‘the effect of new distribution patterns after location-allocation’ (ELA). The Moran’s I index of the initial map and its comparison with six patterns for SPT as well as ELA consistently indicates that the SPM is more effective for addressing spatial equity. We conclude that the inclusion of spatial neighbourhood comparison factors in Preference Modelling improves the capability of SDSS to address spatial equity. This study thus proposes a new formal method for SDSS with specific attention on resource location-allocation to address spatial equity. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Arif Wismadi & Mark Zuidgeest & Mark Brussel & Martin Maarseveen, 2014. "Spatial Preference Modelling for equitable infrastructure provision: an application of Sen’s Capability Approach," Journal of Geographical Systems, Springer, vol. 16(1), pages 19-48, January.
  • Handle: RePEc:kap:jgeosy:v:16:y:2014:i:1:p:19-48
    DOI: 10.1007/s10109-013-0185-4
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    Cited by:

    1. Hananel, Ravit & Berechman, Joseph, 2016. "Justice and transportation decision-making: The capabilities approach," Transport Policy, Elsevier, vol. 49(C), pages 78-85.
    2. Vecchio, Giovanni, 2020. "Microstories of everyday mobilities and opportunities in Bogotá: A tool for bringing capabilities into urban mobility planning," Journal of Transport Geography, Elsevier, vol. 83(C).
    3. Ryan, Jean & Pereira, Rafael H.M., 2021. "What are we missing when we measure accessibility? Comparing calculated and self-reported accounts among older people," Journal of Transport Geography, Elsevier, vol. 93(C).
    4. Min Cheng & Xiao Cui, 2020. "Spatial Optimization of Residential Care Facility Configuration Based on the Integration of Modified Immune Algorithm and GIS: A Case Study of Jing’an District in Shanghai, China," IJERPH, MDPI, vol. 17(21), pages 1-20, November.
    5. Bat-hen Nahmias-Biran & Yoram Shiftan, 2020. "Using activity-based models and the capability approach to evaluate equity considerations in transportation projects," Transportation, Springer, vol. 47(5), pages 2287-2305, October.
    6. Ryan, Jean & Wretstrand, Anders & Schmidt, Steven M., 2015. "Exploring public transport as an element of older persons' mobility: A Capability Approach perspective," Journal of Transport Geography, Elsevier, vol. 48(C), pages 105-114.

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    More about this item

    Keywords

    Capability Approach; Spatial and social equity; Location-allocation; Spatial Preference Modelling; Spatial decision support system; R53; R58;
    All these keywords.

    JEL classification:

    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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