Trip-pair based clustering model for urban mobility of bus passengers in Macao

Public transit is a major mode of urban mobility in Macao, a compact and populous city in China. Public transit ridership is related to round-the-clock shift-based work arrangements in the gaming industry. Smartcards that are used in transit fare collection are a vital data source for understanding...

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Bibliographic Details
Published in:Transportmetrica (Abingdon, Oxfordshire, UK) Oxfordshire, UK), 2023-05, Vol.19 (3)
Main Authors: Ku, W.K., Kou, K.P., Lam, S.H., Wong, K.I.
Format: Article
Language:English
Subjects:
Clustering
Data sources
Passengers
Public transportation
regularity
Ridership
Smart cards
Smartcard data
transit bus
Travel modes
Travel patterns
urban mobility
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Summary:Public transit is a major mode of urban mobility in Macao, a compact and populous city in China. Public transit ridership is related to round-the-clock shift-based work arrangements in the gaming industry. Smartcards that are used in transit fare collection are a vital data source for understanding the travel patterns and characteristics of transit passengers. However, transactional information from single data sources is fragmented, hindering the extraction of mobility patterns. We proposed a trip-pair-based clustering model that extracts the within-day mobility patterns of bus riders. DBSCAN is employed to filter scattered trips and hierarchical agglomerative clustering to identify clusters. Using a six-month smartcard dataset from Macao, categories of bus passengers were identified. Travel patterns exist with irregular, one-way, and round-trip passengers, and shift workers. The unique shift-based work-life and mixed travel modes in Macao can serve as an example of dense and compact city travel for smart cities.
ISSN:2324-9935
2324-9943
DOI:10.1080/23249935.2022.2079755