Exploring bicycle route choice behavior with space syntax analysis : final report.
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2016-12-31
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Edition:Final report
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Abstract:Cycling provides an environmentally friendly alternative mode of transportation. It improves
urban mobility, livability, and public health, and it also helps in reducing traffic congestion and
emissions. Cycling is gaining popularity both as a recreational activity and a means of
transportation. Therefore, to better serve and promote bicycle transportation, there is an acute
need to understand the route choice behavior of cyclists.
This project explored the applicability of using space syntax theory to model cyclists’ route
choice behavior. In addition, several bicycle-related attributes were also considered as
influential factors affecting cyclists’ route choice. A multiple regression model was built and
calibrated with real-world data. The results demonstrated that space syntax is a promising tool
for modeling bicycle route choice, and cyclists’ cognitive understanding of the network
configuration significantly influences their route choice.
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