Abstract
Cycling is a particularly favoured for short urban trips because it is a healthy and en-vironmentally 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 asso-ciated 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.
Original language | English |
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Article number | 3485 |
Number of pages | 13 |
Journal | Sustainability (Switzerland) |
Volume | 14 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2 Mar 2022 |
Externally published | Yes |
Keywords
- cycling
- logarithmic-transformed regression
- South Australia
- space syntax
- street network
- travel behavior