关键词：公共自行车共享系统，出行产品，土地利用，线性回归模型
摘 要：在中国，日常使用的公共自行车共享系统已有效地增加了骑车人数，这可以大大缓解交通拥堵和有害气体的产生。鼓励发展自行车交通已成为城市可持续发展政策的重要组成部分。本文解释了公共自行车出行、公共基础设施、道路特征、建筑环境和时间变化之间的关系。研究区域是下沙高教园区，位于中国杭州市东部。利用杭州公共自行车系统上的数据，我们使用Pearson相关分析和多元线性回归模型，来分析变量如何影响不同土地用途的公共自行车出行量。本文还分析了三种土地利用类型的每小时出行产生的时间变化。结果表明，公共基础设施和道路特征显着影响公共自行车出行。此外，时间变化的影响在不同的土地用途上也不同。此发现将有助于规划师和工程师增进对公共自行车的了解。
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.
Key: Public bicycle sharing system, Trip productions, Land use, Linear regression model
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