文章编号： 1672-5328（2019）04-0067-06

黄伊萍，杨雯
(深圳大学管理学院，广东深圳518060)

摘要： 针对共享单车乱停乱放问题，以总体服务质量最大化和选址数量最小为目标，建立基于渐进 覆盖的多目标选址模型。通过对深圳市南山区高新园区的共享单车停放点选址的实例分析，采用 LINGO软件求解得到该区域最佳共享单车停放点以及需求点与停放点之间的对应关系。最后，对选 址数量上限的敏感性分析显示了共享单车停放点选址对用户满意度和管理成本的影响，从而为政府 和企业的决策提供依据。

关键词： 交通管理；共享单车；选址；渐进覆盖；数学规划；深圳市

中图分类号： U491.1+2

文献标识码：A

Urban Bike Sharing Parking Sites Planning: Taking High-Tech Park in Shenzhen as an Example

Huang Yiping, YangWen
(College of Management, Shenzhen University, Shenzhen Guangdong 518060, China)

Abstract： In order to solve the disordered parking of bike sharing, this paper develops a multi- objective site selection model based on gradual coverage, to maximize the overall service quality and minimize the site quantity. Based on the case analysis of site selecting of bike sharing parking sites in Shenzhen High- Tech Park, the paper uses LINGO to calculate the optimal locations for parking sites and the corresponding relation between demand points and parking sites. Finally, the sensitivity analysis of the upper limit of the location number reveals the impact of bike sharing parking points on customers' satisfaction and administration cost, which can provide a basis for government and enterprise decision making.

Keywords： traffic management; bike sharing; site selection; gradual covering; mathematical programming; Shenzhen