Usage and Temporal Patterns of Public Bicycle Systems: Comparison among Points of Interest

The public bicycle system is an important component of “mobility as a service” and has become increasingly popular in recent years. To provide a better understanding of the station activity and driving mechanisms of public bicycle systems, the study mainly compares the usage and temporal characteris...

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Autores principales:	Xingchen Yan, Liangpeng Gao, Jun Chen, Xiaofei Ye
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	public bicycle system bicycle usage temporal changes <i>K</i>-means clustering distribution model pattern comparison Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/1c027d16c63e4036b1355592a178908f
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spelling	oai:doaj.org-article:1c027d16c63e4036b1355592a178908f2021-11-25T17:58:37ZUsage and Temporal Patterns of Public Bicycle Systems: Comparison among Points of Interest10.3390/info121104702078-2489https://doaj.org/article/1c027d16c63e4036b1355592a178908f2021-11-01T00:00:00Zhttps://www.mdpi.com/2078-2489/12/11/470https://doaj.org/toc/2078-2489The public bicycle system is an important component of “mobility as a service” and has become increasingly popular in recent years. To provide a better understanding of the station activity and driving mechanisms of public bicycle systems, the study mainly compares the usage and temporal characteristics of public bicycles in the vicinity of the most common commuting-related points of interest and land use. It applies the peak hour factor, distribution fitting, and <i>K</i>-means clustering analysis on station-based data and performs the public bicycles usage and operation comparison among different points of interest and land use. The following results are acquired: (1) the demand type for universities and hospitals in peaks is return-oriented when that of middle schools is hire-oriented; (2) bike hire and return at metro stations and hospitals are frequent, while only the rental at malls is; (3) compared to middle schools and subway stations with the shortest bike usage duration, malls have the longest duration, valued at 18.08 min; and (4) medical and transportation land, with the most obvious morning return peak and the most concentrated usage in a whole day, respectively, both present a lag relation between bike rental and return. In rental-return similarity, the commercial and office lands present the highest level.Xingchen YanLiangpeng GaoJun ChenXiaofei YeMDPI AGarticlepublic bicycle systembicycle usagetemporal changes<i>K</i>-means clusteringdistribution modelpattern comparisonInformation technologyT58.5-58.64ENInformation, Vol 12, Iss 470, p 470 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	public bicycle system bicycle usage temporal changes <i>K</i>-means clustering distribution model pattern comparison Information technology T58.5-58.64
spellingShingle	public bicycle system bicycle usage temporal changes <i>K</i>-means clustering distribution model pattern comparison Information technology T58.5-58.64 Xingchen Yan Liangpeng Gao Jun Chen Xiaofei Ye Usage and Temporal Patterns of Public Bicycle Systems: Comparison among Points of Interest
description	The public bicycle system is an important component of “mobility as a service” and has become increasingly popular in recent years. To provide a better understanding of the station activity and driving mechanisms of public bicycle systems, the study mainly compares the usage and temporal characteristics of public bicycles in the vicinity of the most common commuting-related points of interest and land use. It applies the peak hour factor, distribution fitting, and <i>K</i>-means clustering analysis on station-based data and performs the public bicycles usage and operation comparison among different points of interest and land use. The following results are acquired: (1) the demand type for universities and hospitals in peaks is return-oriented when that of middle schools is hire-oriented; (2) bike hire and return at metro stations and hospitals are frequent, while only the rental at malls is; (3) compared to middle schools and subway stations with the shortest bike usage duration, malls have the longest duration, valued at 18.08 min; and (4) medical and transportation land, with the most obvious morning return peak and the most concentrated usage in a whole day, respectively, both present a lag relation between bike rental and return. In rental-return similarity, the commercial and office lands present the highest level.
format	article
author	Xingchen Yan Liangpeng Gao Jun Chen Xiaofei Ye
author_facet	Xingchen Yan Liangpeng Gao Jun Chen Xiaofei Ye
author_sort	Xingchen Yan
title	Usage and Temporal Patterns of Public Bicycle Systems: Comparison among Points of Interest
title_short	Usage and Temporal Patterns of Public Bicycle Systems: Comparison among Points of Interest
title_full	Usage and Temporal Patterns of Public Bicycle Systems: Comparison among Points of Interest
title_fullStr	Usage and Temporal Patterns of Public Bicycle Systems: Comparison among Points of Interest
title_full_unstemmed	Usage and Temporal Patterns of Public Bicycle Systems: Comparison among Points of Interest
title_sort	usage and temporal patterns of public bicycle systems: comparison among points of interest
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/1c027d16c63e4036b1355592a178908f
work_keys_str_mv	AT xingchenyan usageandtemporalpatternsofpublicbicyclesystemscomparisonamongpointsofinterest AT liangpenggao usageandtemporalpatternsofpublicbicyclesystemscomparisonamongpointsofinterest AT junchen usageandtemporalpatternsofpublicbicyclesystemscomparisonamongpointsofinterest AT xiaofeiye usageandtemporalpatternsofpublicbicyclesystemscomparisonamongpointsofinterest
_version_	1718411727277654016

Usage and Temporal Patterns of Public Bicycle Systems: Comparison among Points of Interest

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