Identification of the Proper Criteria Set for Neighborhood Walkability Using the Fuzzy Analytic Hierarchy Process Model: A Case Study in Jeddah, Saudi Arabia

Faisal AlShareef and Mohammed Aljoufie
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Faisal AlShareef: Department of Urban and Regional Planning, Faculty of Architecture and Planning, King Abdulaziz University, P.O. Box 80200, Jeddah 21589, Saudi Arabia
Mohammed Aljoufie: Department of Urban and Regional Planning, Faculty of Architecture and Planning, King Abdulaziz University, P.O. Box 80200, Jeddah 21589, Saudi Arabia

Sustainability, 2020, vol. 12, issue 21, 1-18

Abstract: Identifying the appropriate criteria for neighborhood walkability is crucial to improve walkability. This paper aims to identify the proper criteria set for neighborhood walkability using the fuzzy analytic hierarchy process model (FAHP) for the case of Jeddah city, a fast-growing city in Saudi Arabia. This paper strives to highlight the criteria and factors that influence Jeddah’s walkability with its populations’ help. A survey questionnaire was used first to gather data regarding people’s reasons for walking and the elements that encourage them to walk. Then the criteria were derived using the fuzzy analytic hierarchy process (FAHP) method. Results indicate that mosques were the most visited destinations, with over a 30% rate. Eighty-six percent of the criteria that determine a walkable neighborhood in Jeddah were physical environments alone. It was also revealed that the residents regarded walking as a leisure activity rather than a utilitarian. The results show the proposed method’s capability in providing proper neighborhood walkability criteria related to Jeddah’s context. The FAHP proves its use in various urban studies fields in transportation and validation of the walkability index; this paper proves it can also help develop new criteria for walkability measures.

Keywords: fuzzy analytic hierarchy process; measuring walkability; multi-criteria decision-making (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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