Academic Dynamics on Bikeability Assessment Based on Street View Imagery and Computer Vi-sion
A review of selected articles from international academic journals is presented to summarize re-search findings,theoretical approaches,and empirical analysis of urban transportation.The aim is to en-hance the communication between industrial and academic fields of urban transportation,highlight interna-tional research focuses,and promote academic exchange.This paper discusses the application of street view imagery(SVI)and computer vision technology in bikeability assessment.The paper develops a bike-ability index with 34 indicators in five categories and implements it in Singapore and Tokyo.The findings demonstrate that integrating street view imagery with computer vision technology can effectively assess bikeability and SVI indicators are significantly effective than the non-SVI indicators,while the roles of the number of Point of Interest,land use mix index,road grade,Air Quality Index,and other non-SVI indica-tors should not be overlooked.
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