Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system

被引：341

作者：

Kaltenbrunner, Andreas ^{[1
]}

Meza, Rodrigo ^{[1
]}

Grivolla, Jens ^{[1
]}

Codina, Joan ^{[1
]}

Banchs, Rafael ^{[1
]}

机构：

[1] Barcelona Media Innovat Ctr, Barcelona 08018, Spain

来源：

PERVASIVE AND MOBILE COMPUTING | 2010年 / 6卷 / 04期

关键词：

Mobility pattern; Community bicycle program; Urban behavior;

D O I：

10.1016/j.pmcj.2010.07.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper provides an analysis of human mobility data in an urban area using the amount of available bikes in the stations of the community bicycle program Bicing in Barcelona. Based on data sampled from the operator's website, it is possible to detect temporal and geographic mobility patterns within the city. These patterns are applied to predict the number of available bikes for any station some minutes/hours ahead. The predictions could be used to improve the bicycle program and the information given to the users via the Bicing website. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：455 / 466

页数：12

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