A Path Walkability Assessment Index Model for Evaluating and Facilitating Retail Walking Using Decision-Tree-Making (DTM) Method

Ali Keyvanfar, M. Salim Ferwati, Arezou Shafaghat and Hasanuddin Lamit
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Ali Keyvanfar: Facultad de Arquitectura y Urbanismo, Universidad Tecnológica Equinoccial, Calle Rumipamba s/n y Bourgeois, Quito 170508, Ecuador
M. Salim Ferwati: Department of Architecture and Urban Planning, College of Engineering, Qatar University, Doha 2713, Qatar
Arezou Shafaghat: MIT-UTM MSCP Program, Institute Sultan Iskandar, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
Hasanuddin Lamit: Department of Landscape Architecture, Faculty of Built Environment, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia

Sustainability, 2018, vol. 10, issue 4, 1-33

Abstract: Transportation is the major contributor of ever-increasing CO 2 and Greenhouse Gas emissions in cities. The ever-increasing hazardous emissions of transportation and energy consumption have persuaded transportation and urban planners to motivate people to non-motorized mode of travel, especially walking. Currently, there are several urban walkability assessment models; however, coping with a limited range of walkability assessment variables make these models not fully able to promote inclusive walkable urban neighborhoods. In this regard, this study develops the path walkability assessment (PWA) index model which evaluates and analyzes path walkability in association with the pedestrian’s decision-tree-making (DTM). The model converts the pedestrian’s DTM qualitative data to quantifiable values. This model involves ninety-two (92) physical and environmental walkability assessment variables clustered into three layers of DTM (Layer 1: features; Layer 2: Criteria; and Layer 3: Sub-Criteria), and scoped to shopping and retail type of walking. The PWA model as a global decision support tool can be applied in any neighborhood in the world, and this study implements it at Taman Universiti neighborhood in Skudai, Malaysia. The PWA model has established the walkability score index which determines the grading rate of walkability accomplishment for each walkability variable of the under-survey neighborhood. Using the PWA grading index enables urban designers to manage properly the financial resource allocation for inspiring walkability in the targeted neighborhood.

Keywords: walkability; green urban development; urban assessment; pedestrian behavior; decision making (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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