Space Syntax in Analysing Bicycle Commuting Routes in Inner Metropolitan Adelaide

Ali Soltani, Andrew Allan, Masoud Javadpoor and Jaswanth Lella
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Ali Soltani: UniSA Creative, University of South Australia, Adelaide, SA 5001, Australia
Andrew Allan: UniSA Creative, University of South Australia, Adelaide, SA 5001, Australia
Masoud Javadpoor: School of Art and Architecture, Shiraz University, Shiraz 71946-84471, Iran
Jaswanth Lella: UniSA Creative, University of South Australia, Adelaide, SA 5001, Australia

Sustainability, 2022, vol. 14, issue 6, 1-13

Abstract: Cycling is a particularly favoured for short urban trips because it is a healthy and environmentally benign activity. As a result, urban mobility, quality of life, and public health are enhanced, while traffic congestion and pollution are decreased. In looking beyond the street network in terms of how it affects cyclists’ behavior choices, Bill Hillier’s (1984) outstanding legacy research on spatial space syntax is investigated in this study. The goal of this study is to determine if an urban area’s street network morphology influences commuters’ inclination to ride their bicycles to work. To further understand the nonlinear consequences of street network geometry on the estimation of cycling to work, a logarithmic-transformed regression model that includes base socioeconomic components, urban form, and street network variables represented by space syntax measure factors is developed. In conclusion, this model determined that bike commuting choice is significantly associated with the centrality index of Connectivity , although this is in combination with socioeconomic factors (age, gender, affluence, housing type, and housing price) and built environment factors (share of commercial, educational activities and distance to the CBD) factors. The findings of this study would be of value to planners and policy makers in support of evidence-based policy formulation to improve the design of bicycle networks in suburban regions.

Keywords: space syntax; street network; cycling; travel behavior; logarithmic-transformed regression; South Australia (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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