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.
Exploring Bicycle Route Choice Behavior with Space Syntax Analysis
2016
30 pages
Report
No indication
English
Transportation , Transportation Safety , Transportation & Traffic Planning , Management Practice , Regional Administration & Planning , Urban Administration & Planning , Education, Law, & Humanities , Pedestrian accidents , Transportation safety , Data collection , Access management practices , Bicycle Route Choice , Decision-makers , Pedestrian education , Pedestrian crashes , Space Syntax
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