Identifying human mobility patterns using smart card data

Cats, O.

doi:10.1080/01441647.2023.2251688

Identifying human mobility patterns using smart card data

Title

Identifying human mobility patterns using smart card data

Author

Cats, O. (TU Delft Transport and Planning; KTH Royal Institute of Technology)

Date

2023

Abstract

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.

Subject

Travel patterns
public transport
smart card data
market segmentation
clustering
urban analytics

To reference this document use:

http://resolver.tudelft.nl/uuid:f4160acd-8d1d-4816-aba1-8cd9baaaa526

DOI

https://doi.org/10.1080/01441647.2023.2251688

ISSN

0144-1647

Source

Transport Reviews: a transnational, transdisciplinary journal, 44 (1), 213-243

Part of collection

Institutional Repository