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Identifying human mobility patterns using smart card data
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Byggvetenskap, Transportplanering. Delft Univ Technol, Fac Civil Engn & Geosci, Dept Transport & Planning, Delft, Netherlands.;Delft Univ Technol, Fac Civil Engn & Geosci, Dept Transport & Planning, Stevinweg 1, NL-2628 CN Delft, Netherlands..ORCID-id: 0000-0002-4506-0459
2023 (engelsk)Inngår i: Transport reviews, ISSN 0144-1647, E-ISSN 1464-5327, artikkel-id 2251688Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Human mobility is subject to collective dynamics that are the outcome of numerous individual choices. Smart card data which originated as a means of facilitating automated fare collection has emerged as an invaluable source for analysing mobility patterns. A variety of clustering and segmentation techniques has been adopted and adapted for applications ranging from market segmentation to the analysis of urban activity locations. In this paper we provide a systematic review of the state-of-the-art on clustering public transport users based on their temporal or spatial-temporal characteristics as well as studies that use the latter to characterise individual stations, lines or urban areas. Furthermore, a critical review of the literature reveals an important distinction between studies focusing on the intra-personal variability of travel patterns versus those concerned with the inter-personal variability of travel patterns. We synthesise the key analysis approaches as well as substantive findings and subsequently identify common trends and shortcomings and outline related directions for further research.

sted, utgiver, år, opplag, sider
Informa UK Limited , 2023. artikkel-id 2251688
Emneord [en]
Travel patterns, public transport, smart card data, market segmentation, clustering, urban analytics
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-336990DOI: 10.1080/01441647.2023.2251688ISI: 001057517300001Scopus ID: 2-s2.0-85168903277OAI: oai:DiVA.org:kth-336990DiVA, id: diva2:1799582
Merknad

QC 20230922

Tilgjengelig fra: 2023-09-22 Laget: 2023-09-22 Sist oppdatert: 2023-09-22bibliografisk kontrollert

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