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Public Bicycle Sharing System Research in Suburban Area: Case Study in Shanghai, China

机译:郊区公共自行车共享系统研究:以中国上海为例

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This study presents systematic research on the use of Public Bicycle Sharing System (PBSS) insuburban areas. We focus on users’ behavioral characteristics and other related factors on usage,and use a clustering model and Structural Equation Model (SEM) to do the analysis. Somesuggestions are presented to improve this sustainable mobility and relieve traffic pressure. Basedon State Preference survey in Minghang District and Pudong Zhangjiang, all the respondentscould be classified into two main groups according to usage, Mode A and Mode B, throughclustering analysis. Usage patterns consist of frequency, travel purpose, riding distance and useform (transfer or not). Users of Mode A view PBSS as a feeder to conventional public transit andmainly cycle in commuting, while most users of Mode B ride public bicycle with no-transfer forleisure travel. In addition, these two groups are different in terms of personal characteristics,household characteristics, degree of satisfaction and choosing reasons. Furthermore, Mode Bcould be separated into two subgroups based on frequency. The age and education background ofthese two subgroups, B-1 and B-2, are different as well. Two SEMs are established based onLevel of Service (LOS) and users’ attributes respectively. The results indicate that personalcharacteristics are the main factor influencing usage patterns and travel purpose is of importanceto other mode variables, but the evidence that change in LOS would cause remarkable changes inusage mode is not significant. Finally suggestions are put forward on the development of PBSS insuburban areas.
机译:这项研究提出了关于在公共场所使用公共自行车共享系统(PBSS)的系统研究。 郊区。我们专注于用户的行为特征以及其他与使用有关的因素, 并使用聚类模型和结构方程模型(SEM)进行分析。一些 提出了改善这种可持续交通出行和缓解交通压力的建议。基于 在明航区和浦东张江的国家偏好调查中,所有受访者 根据使用情况,可以分为两大类:模式A和模式B,通过 聚类分析。使用方式包括频率,出行目的,乘车距离和使用 表格(是否转移)。模式A的用户将PBSS视为传统公交系统的接驳点, 主要是在通勤中骑自行车,而大多数B模式使用者则骑着公共自行车,而无需换乘 休闲旅行。另外,这两类人的个性不同, 家庭特征,满意度和选择理由。此外,模式B 可以根据频率分为两个子组。的年龄和教育背景 这两个子组B-1和B-2也不同。基于以下内容建立了两个SEM 服务级别(LOS)和用户的属性。结果表明,个人 特征是影响使用模式的主要因素,出行目的很重要 其他模式变量,但证据表明,LOS的变化会导致显着变化 使用模式并不重要。最后提出了关于PBSS的发展的建议。 郊区。

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