Strategic and Operational Planning of Bike-Sharing Systems by Data Mining - A Case Study

被引：0
|
作者：
Vogel, Patrick [1 ]
Mattfeld, Dirk C. [1 ]
机构：
[1] Tech Univ Carolo Wilhelmina Braunschweig, Decis Support Grp, D-38106 Braunschweig, Germany
来源：
COMPUTATIONAL LOGISTICS | 2011年 / 6971卷
关键词：
WEATHER;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Bike-sharing is a new form of sustainable urban public mobility. A common issue observed in bike-sharing systems is imbalances in the distribution of bikes. There are two logistical measures alleviating imbalances: strategic network design and operational repositioning of bikes. IT-systems record data from Bike Sharing Systems (BSS) operation that are suitable for supporting these logistical tasks. A case study shows how Data Mining applied to operational data offers insight into typical usage patterns of bike-sharing systems and is used to forecast bike demand with the aim of supporting and improving strategic and operational planning.
引用
收藏
页码：127 / 141
页数：15
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