Abstract

Abstract. Public spaces accessibility has become one of the important factors in urban planning. Therefore, considerable attention has been given to measure accessibility to public spaces on the UK, US and Canada, but there are few studies outside the anglophone world especially in developing countries such as Iran. In this study an attempt has been made to measure objective accessibility to public spaces (parks, school, library and administrative) using fuzzy majority GIS-based multicriteria decision analysis. This method is for defining the priority for distribution of urban facilities and utilities as the first step towards elimination of social justice. In order to test and demonstrate the presented model, the comprehensive plan of Malayer city has been considered for ranking in three objectives and properties in view of index per capital (Green space, sport facilities and major cultural centers like library and access index). The results can be used to inform the local planning process and the GIS approach can be expanded into other local authority domains. The results shows that the distribution of facilities in Malayer city has followed on the base of cost benefit law and the human aspect of resource allocation programming of facilities (from centre to suburbs of the city).

Highlights

  • This study analyses the accessibility to urban facilities in Malayer

  • The distribution of distances was summarized using fuzzy logic in order to qualify each type of layers and for each Hexagon, the suitability of every service point located in the geographical information systems (GIS) and to build perceptual accessibility indices

  • Fuzzy logic facilitates the challenges of converting human language into the mathematical formulation, which in turn paves the way for fuzzy weighting methods, quantifier-guided ordered weighted averaging (OWA) and fuzzy majority procedures

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Summary

Introduction

This study analyses the accessibility to urban facilities in Malayer (a city in the north-west part of Iran). The location of most public spaces from a policy and planning perspective is determined by the spatial distribution of public services and facilities This is the area where social can be mitigated or at least offset by compensatory distribution (Talen and Anselin, 1998; Witten et al, 2003). Accessibility can be measured in many ways which are container (e.g. the number of green spaces in each neighborhood unit), Coverage (e.g. the number of kindergartens in 800m from residential), Minimum Distance (e.g. the distance from neighborhood units centre to the nearest park), and Service Area (e.g. all areas within 800m from kindergartens) (Lotfi and Koohsari, 2009b) Another methodological issue is calculation of per-capita. Wiliest measuring per-capita for land uses has received considerable attention on the US, UK and Canada and it has been calculated from the division ratio of area and population (Esmneel, 1995)

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