Quantitative Evaluation on Public Bicycle Trips and its Impact Variables among Different Land Uses

Abstract

Public bicycle sharing systems for daily use have been effective for increasing cycling in China, which can significantly ease traffic congestion and the production of toxic gasses. Encouraging the development of bicycle transportation has become an important part of cities' sustainable development policies. This paper explains the relationships among public bicycle trips, public infrastructure, road characteristics, the built environment, and temporal variations. The study area is the Xiasha Education District, which is located in the east of Hangzhou City, China. Using data on the Hangzhou Public Bicycle system, we utilized Pearson correlation analysis and multiple linear regression modelling to analyse how the variables affect public bicycle trip production for different land uses. This paper also analyses the temporal variations for hourly trip production for three land uses. The results show that public infrastructure and road characteristics significantly affect public bicycle trips. In addition, the effects of temporal variation vary across different land uses. Our findings will be helpful for planners and engineers to improve their understanding of public bicycle production.