Space Syntax in Analysing Bicycle Commuting Routes in Inner Metropolitan Adelaide

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 h...

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Bibliographic Details
Published inSustainability Vol. 14; no. 6; p. 3485
Main Authors Soltani, Ali, Allan, Andrew, Javadpoor, Masoud, Lella, Jaswanth
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2022
Subjects
Affluence
Bicycles
Bicycling
Commuting
Design
Geometry
Infrastructure
Pedestrians
Pollution control
Public health
Quality of life
Social factors
Socioeconomic factors
Socioeconomics
Sustainability
Syntax
Traffic accidents & safety
Traffic congestion
Travel
Urban areas
Urban environments
United Kingdom > UK
Australia
United States > US
South Australia Australia
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Summary: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.
ISSN:2071-1050
2071-1050
DOI:10.3390/su14063485