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    Using a GIS—Based Network Analysis and Optimisation Routines to Evaluate Service Provision: A Case Study of the UK Post Office


    Comber, Alexis, Brunsdon, Chris, Hardy, Jefferson and Radburn, Rob (2009) Using a GIS—Based Network Analysis and Optimisation Routines to Evaluate Service Provision: A Case Study of the UK Post Office. Applied Spatial Analysis and Policy, 2 (1). pp. 47-64. ISSN 1874-4621

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    Abstract

    Many post offices in the UK have been or are in the process of being closed. The process of deciding which post office to close has been criticised for a lack of transparency and evidence. This work analysed the impact of proposed post office closures in an English county against national access criteria. Only one of five access criteria were satisfied by current proposals. An optimisation model was then used to identify alternative sets of post offices to close by minimising the ‘losers’ in terms of increased access distance for a) the whole population b) limiting long-term illness, and c) full time carers. Combining a GIS-based network analysis with an optimisation model was shown be an appropriate method to minimise the numbers of targeted groups who experience a decline in post office accessibility. As national targets will result locally in ‘winners and ‘losers’, the method is a tool for generating evidence in support of policy, it allows sub-national analyses (e.g. at a local authority level) of the impacts of closures and can identify alternative closures better suited to local priorities.
    Item Type: Article
    Keywords: Spatial planning; Network analysis; Optimisation; Accessibility; Retail;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 5884
    Identification Number: 10.1007/s12061-008-9018-0
    Depositing User: Prof. Chris Brunsdon
    Date Deposited: 19 Feb 2015 16:09
    Journal or Publication Title: Applied Spatial Analysis and Policy
    Publisher: Springer Verlag
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/5884
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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