基于GeoHash与聚类的共享单车动态回收点设置方法研究
首发时间:2019-09-16
摘要:共享单车在运行中的损坏在所难免,因此,如何获取损坏车辆的相关信息并进行及时处理,建立合理的回收物流系统,成为相关企业良好运营的关键所在。通过对共享单车骑行空间分布的定性定量分析和骑行数据的聚类分析结果建立了聚类回收点模型,以北京摩拜单车骑行数据为例,通过热力图及区域网格化数据分析展现了共享单车骑行空间分布特性,然后基于聚类分析得到聚类回收点位置,该方法具有很好的实用性和可操作性,能够为共享单车企业回收处理损坏单车构建逆向物流体系提供一定的参考。
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Dynamic setting method of shared bicycle recycling point based on GeoHash and clustering
Abstract:It is unavoidable to share the damage of bicycles in operation. Therefore, how to obtain the relevant information of damaged vehicles and deal with it in time, and establish a reasonable recycling logistics system, become the key to the good operation of relevant enterprises. Based on the qualitative and quantitative analysis of the spatial distribution of shared bicycle riding and the clustering analysis of bicycle riding data, a clustering recovery point model is established. Taking Beijing Mobike bicycle riding data as an example, the spatial distribution characteristics of shared bicycle riding are demonstrated through the analysis of thermal diagram and regional grid data, and then clustering analysis is used to get clustering results. The method has good practicability and maneuverability, and it can provide some reference for sharing bicycle enterprises to recycle damaged bicycles and build reverse logistics system.
Keywords: Shared bicycle Recycle point setting Clustering GeoHash algorithm
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基于GeoHash与聚类的共享单车动态回收点设置方法研究
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