Identifying metro station types based on transfer purposes: An application of bike‐sharing data in Xiamen, China.
With the networking of urban rail transit and the large‐scale development of bike‐sharing, metro and bike‐sharing connection has become the preferred way of daily travel for residents of Xiamen. Current studies mainly identify metro station types based on node and place orientation, lacking behaviou...
| Publicado en: | Canadian Geographer Vol. 67; no. 4; pp. 550 - 564 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
Wiley-Blackwell
Dec2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=174109191&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 174109191 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00083658 CGE jtl: Canadian Geographer issn: 00083658 maglogo: Y pubinfo: dt: Dec2023 vid: 67 iid: 4 pid: 480 pub: Wiley-Blackwell artinfo: ui: 174109191 10.1111/cag.12830 ppf: 550 ppct: 14 formats: tig: atl: Identifying metro station types based on transfer purposes: An application of bike‐sharing data in Xiamen, China. aug: au: Shao, Haiyan Jin, Cheng Xu, Jing Zhong, Yexi Qiu, Mengxin affil: School of Geography Science, Nanjing Normal University, Nanjing, China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China Tourism and Social Administration College, Nanjing Xiaozhuang University, Nanjing, China School of Geography and Environment, Jiangxi Normal University, Nanchang, China School of Public Affairs, Xiamen University, Xiamen, China su: Xiamen Shi (China) Urban planning Probability density function Tourism websites Railroad travel Urban transit systems sug: subj: Urban planning Xiamen Shi (China) Land Subdivision Administration of Urban Planning and Community and Rural Development Line-Haul Railroads Passenger rail transportation Other Urban Transit Systems Probability density function Tourism websites Railroad travel Urban transit systems keyword: bike‐sharing data classification metro station transfer purpose Xiamen données de vélos en libre‐service objectifs de transfert station de métro bike‐sharing data classification metro station transfer purpose Xiamen données de vélos en libre‐service objectifs de transfert station de métro ab: With the networking of urban rail transit and the large‐scale development of bike‐sharing, metro and bike‐sharing connection has become the preferred way of daily travel for residents of Xiamen. Current studies mainly identify metro station types based on node and place orientation, lacking behaviour‐based investigation. To fill this gap, this study aims to explore the classification of metro stations based on transfer purposes by combining bike‐sharing and point of interest data in Xiamen, using buffer analysis, kernel density estimation, and DBSCAN clustering algorithm comprehensively. The results indicate the following. (1) Distinct transfer purposes have significant agglomeration characteristics and present poly‐centric spatial pattern, an authentic portrayal of Xiamen's land use function. (2) The heterogeneity of connection flow between different transfer purposes and metro stations is apparent. The distribution of flow and flow direction within the same transfer purpose is also in non‐equilibrium. (3) Based on traffic connection analysis, metro stations are divided into seven types: transportation hub, employment‐oriented, residence‐oriented, job‐housing balance, school‐oriented, traffic‐tourism integration, and business connection types. The obtained results assist in improving the transportation connection environment, perfecting urban land use planning, and enhancing low‐carbon and green travel. Key messages: Metro and bike‐sharing connection has become the preferred way of daily travel for residents.Identifying metro station types based on transfer purposes of bike‐sharing is a new exploration.Metro station classification provides a reference for dynamic traffic regulation and green travel development. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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