Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns

被引：117

作者：

Vogel, Patrick ^{[1
]}

Greiser, Torsten ^{[1
]}

Mattfeld, Dirk Christian ^{[1
]}

机构：

[1] Tech Univ Carolo Wilhelmina Braunschweig, Decis Support Grp, D-38106 Braunschweig, Germany

来源：

STATE OF THE ART IN THE EUROPEAN QUANTITATIVE ORIENTED TRANSPORTATION AND LOGISTICS RESEARCH, 2011: 14TH EURO WORKING GROUP ON TRANSPORTATION & 26TH MINI EURO CONFERENCE & 1ST EUROPEAN SCIENTIFIC CONFERENCE ON AIR TRANSPORT | 2011年 / 20卷

关键词：

Bike-Sharing; Data Mining; Activity Patterns;

D O I：

10.1016/j.sbspro.2011.08.058

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

In this paper we analyze extensive operational data from bike-sharing systems in order to derive bike activity patterns. A common issue observed in bike-sharing systems is imbalances in the distribution of bikes. We use Data Mining to gain insight into the complex bike activity patterns at stations. Activity patterns reveal imbalances in the distribution of bikes and lead to a better understanding of the system structure. A structured Data Mining process supports planning and operating decisions for the design and management of bike-sharing systems. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Organizing Committee.

引用

页数：10

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