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

机译:公共自行车旅行的定量评估及其不同土地使用中的影响变量

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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.
机译:日常使用的公共自行车分享系统对中国的骑自行车有效,这可以显着缓解交通拥堵和有毒气体的生产。鼓励自行车运输的发展已成为城市可持续发展政策的重要组成部分。本文介绍了公共自行车旅行,公共基础设施,道路特征,建筑环境和时间变化的关系。该研究区是XIASHA教育区,位于中国杭州市东部。使用杭州公共自行车系统上的数据,我们利用了Pearson相关性分析和多元线性回归建模,分析了变量影响公共自行车旅行生产以进行不同的土地使用。本文还分析了三种土地使用的每小时跳水的时间变化。结果表明,公共基础设施和道路特性显着影响公共自行车旅行。此外,时间变化的影响因不同的土地使用而变化。我们的调查结果将有助于策划者和工程师提高他们对公共自行车生产的理解。

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