Journal article

Reducing Cyclist Crashes by Assessing the Road Environment: An Application of Google Imagery and Machine Learning

Haifeng Zhao, Jasper Wijnands, Kerry Nice, Jason Thompson, Gideon Aschwanden, Jingqiu Guo, Mark Stevenson

Journal of Transport & Health | Elsevier | Published : 2019


Background: Cycling is an active and sustainable transportation mode, and is associated with health, environmental and societal benefits. Therefore, increasing the use of bicycles is being supported as a transport policy in many countries. However, despite these benefits, cyclists are vulnerable road users and are over-represented in traffic crash casualties compared to other modes of transport. The injury concern can discourage people from adopting cycling as a main transportation mode. Urban infrastructure that caters to cyclists' safety can potentially reduce crashes and therefore, injury morbidity and mortality. Methods: This research uses cyclist crashes recorded by the state road auth..

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