A free-floating bike sharing system is an up-and-coming and marketable solution to promote transport flexibility and health benefits, which many people regard as a realistic way of generating more environmentally-friendly trips. Although many studies have investigated the associations between bike sharing usage and built environment, the existing literature has limited evidence about the relative importance of different built environment elements and their threshold impacts on cycling trips. This study contributes to the literature by proposing a modeling framework to explore the nonlinear impacts of built environment on bike sharing demand. A case study is conducted using Mobike bike sharing data in Chengdu. The analytical results indicate that population density and employment density are the two most significant factors that influence bike sharing usage. Total effects of land use variables rank the highest, followed by accessibility variables and transport facility variables. We then analyze the nonlinear impacts of different built environment elements on bike sharing usage to identify their effective ranges and threshold effects. These findings are important for planning departments to boost the share of non-motorized trips and embrace a cyclist-friendly design.

自由浮动的自行车共享系统是一种新兴且可销售的解决方案，可提高运输的灵活性和健康益处，许多人认为这是产生更环保旅行的现实方法。尽管许多研究已经调查了自行车共享使用与建筑环境之间的关联，但是现有文献对不同建筑环境要素的相对重要性及其阈值对骑车出行的影响的证据有限。这项研究通过提出一个建模框架来探索建筑环境对自行车共享需求的非线性影响，从而为文献做出了贡献。使用成都的Mobike自行车共享数据进行了案例研究。分析结果表明，人口密度和就业密度是影响自行车共享使用的两个最重要因素。土地使用变量的总影响排名最高，其次是可达性变量和运输设施变量。然后，我们分析不同建筑环境元素对自行车共享使用的非线性影响，以确定其有效范围和阈值效应。这些发现对于规划部门增加非机动出行的比例并采用骑车人友好的设计非常重要。