Geo-spatial Information Science (Mar 2024)

A user-based approach for assessing spatial equity of attractiveness and accessibility to alternative urban parks

  • Tahere Ghaemi Rad,
  • Abbas Alimohammadi

DOI
https://doi.org/10.1080/10095020.2022.2135463
Journal volume & issue
Vol. 27, no. 2
pp. 487 – 504

Abstract

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ABSTRACTSpatial equity in access to urban services is a significant element of sustainable urban planning. To date, a service-based index is used to measure service attractiveness, considering attractiveness as a static concept. While from the user side view, service attractiveness is a dynamic concept related to the variation of different opportunities of users to use the services and capacities. In this paper, a user-based method for measuring service attractiveness is proposed. In this approach, the attractiveness of service for a user is modeled as a function of the user’s Travel Times (TT), Free Times (FTs), park size and relative positions of the user, local demanding population, and service. Then, the inequity of attractiveness of services for different users has been examined using three inequity indices including the Duration of Use (DU), Frequency of Visit (FV), and the Chance of Space Choice (CSC). The proposed method is applied to urban regional parks of Tehran municipality. Traffic Analysis Zones (TAZs) and regional parks are respectively regarded as the users and services. In addition to considering inequity of access to the first closest park, the additional cost of accessing to the other two closest parks is also considered. Results show that the proposed method leads to the exploration of the existing inequities of DU, FV, and CSC among residents in local scales, whereas in the service-based method, all users of a service are highlighted with a single value of attractiveness. Comparison of the user-based and service-based attractiveness indices show significant differences. As an example, user-based attractiveness values of about 14% and 20% of TAZs are respectively 5 and 3 square meters more than that of the service-based attractiveness index. However, the service-based method is suitable for regional-scale comparison of the inequities. Therefore, the proposed index can complement the service-based index for inequity mapping and management in varying scales.

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