Abstract
This paper presents a Geographic Information System (GIS) based multicriteria decision analysis approach for mapping accessibility patterns of housing development sites in Canmore, Alberta. The approach involves integrating two multicriteria decision methods (Analytical Hierarchy Process and Ordered Weighted Aver-aging) in a raster GIS environment, and incorporating the linguistic quantifier concept as a method for ob-taining the order weights. The approach facilitates a wide range of location (decision) strategies to be gener-ated and examined. The aim of the study is to help the housing development authorities in addressing the uncertainty involved in the decision making process, achieving a better understanding of the alternative ac-cessibility patterns. It also assists the authorities in evaluating and prioritizing the potential housing devel-opment sites in terms of accessibility levels.
Highlights
The accessibility to services, facilities and amenities is an essential factor affecting evaluation of potential sites for housing development [1,2]
This paper presents a Geographic Information System (GIS) based multicriteria decision analysis approach for mapping accessibility patterns of housing development sites in Canmore, Alberta
This paper focuses on measuring of accessibility in terms of the spatial distributions of salutary facilities and noxious facilities relative to the locations of demand
Summary
The accessibility to services, facilities and amenities is an essential factor affecting evaluation of potential sites for housing development [1,2]. Urban plans ensure that individuals have some minimal levels of accessibility to the public sector facilities, such as schools, emergency services, and recreation amenities. An essential element of location strategy for housing development is to avoid proximity to noxious facilities (e.g., waste disposal sites, gas depots, and chemical factories). We adopt a definition proposed by Dalvi, who defines accessibility as “the ease with which any land-use activity can be reached from a particular location, using a particular transportation system” [5]. The accessibility to public and private sector facilities has often been analyzed using GIS-based approaches [4, 9,10,11,12]
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