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作者

Hongwei Li;Yingying Xing;Wenbo Zhang;Xiaoli Zhang

来源

JOURNAL OF URBAN PLANNING AND DEVELOPMENT,Vol.147,Issue4

语言

英文

关键字

作者单位

Associate Professor, College of Civil and Transportation Engineering, Hohai Univ., 1 Xikang Rd., Nanjing, 210098 Jiangsu, P.R. China. Email: [email protected];Post-Doctor, College of Transportation Engineering, Tongji Univ., 4800 Cao’an Rd., Shanghai 200092, P.R. China (corresponding author). Email: [email protected];Associate Professor, School of Transportation, Southeast Univ., 2 Southeast University Rd., Nanjing, 211189 Jiangsu, P.R. China. ORCID: https://orcid.org/0000-0003-2002-7852. Email: [email protected];Associate Professor, College of Civil and Transportation Engineering, Hohai Univ., 1 Xikang Rd., Nanjing, 210098 Jiangsu, P.R. China. Email: [email protected]

摘要

As a new low-carbon travel mode, bike sharing has become an important tool for urban residents to travel short distances. However, dockless bike-share trips could be influenced by weather conditions, temporal factors, and land use characteristics. This study analyzes the effect of meteorological, temporal, and spatial elements on the use of the Shanghai bike-share system, utilizing a dataset of all trips derived from the Mobike system. Hourly weather data, including rainfall, wind speed, visibility, humidity, temperature, and air quality index (AQI) were linked to hourly bike-share trip data, as well as temporal information. The impact of land use was investigated at the township level. Further, the bike-share user preference on the alternative transportation modes was explored when weather conditions are not suitable for cycling. Results show that rain, high humidity, and high temperatures are likely to reduce the usage of bike-share systems. The density of company, residential building, and metro station in a township-level division has a predominantly positive impact on bike-share flows. Even though adverse weather conditions would lead to the decrease of bike-share trips to both metro and bus stations, people are more likely to ride to a metro station than to a bus station. These findings could provide useful reference for transport agencies and bike-share operators to understand dockless bike-share user behavior and optimize the bike-share systems.