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Trip-pair based clustering model for urban mobility of bus passengers in Macao
Gao GP(高冠鵬)
2022-05
Source PublicationTransportmetrica A: Transport Science
Abstract

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.

Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Recommended Citation
GB/T 7714
Gao GP. Trip-pair based clustering model for urban mobility of bus passengers in Macao[J]. Transportmetrica A: Transport Science,2022.
APA Gao GP.(2022).Trip-pair based clustering model for urban mobility of bus passengers in Macao.Transportmetrica A: Transport Science.
MLA Gao GP."Trip-pair based clustering model for urban mobility of bus passengers in Macao".Transportmetrica A: Transport Science (2022).
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