Analyzing spatiotemporal distribution patterns of metro ridership: Comparison between common-class and business-class carriage service
Document Type
Journal Article
Publication Date
2024
Subject Area
place - asia, place - urban, technology - passenger information, technology - ticketing systems, infrastructure - interchange/transfer, ridership - behaviour, ridership - commuting, mode - subway/metro, mode - bus, mode - bike, land use - impacts
Keywords
Metro, business-class, common-class
Abstract
Understanding differentiated services is pivotal for enhancing the appeal and diversity of the metro system, yet this facet has received relatively scant attention in existing literature. To bridge this research gap, our analysis delves into the business-class services offered by the metro and compares them with the common-class offerings. First, we illustrate the spatial and temporal patterns of business- and common-class ridership across stations and hours. Second, we construct two-stage geographically weighted regression models to identify key determinants and their spatiotemporally heterogeneous effects, focusing on land-use patterns, demographic considerations, and intermodal transfer modes. Leveraging one-week smart card data collected in Shenzhen from May 13th to 17th, 2019, our findings underscore the following aspects: (1) Spatial and temporal variations in business-class ridership across stations are linked to diverse land-use configurations. (2) Bus-metro transfers, business establishments, medical facilities, and the proportion of young commuters contribute significantly to the business-class ridership. (3) The emergence of business-class trip is weakly associated with bike-sharing activities but has a strong correlation with bus transfers. (4) Business establishments and medical facilities exhibit nuanced impacts on business-class travel, with excessive aggregation leading to unintended consequences. These insights offer valuable policy implications for fostering the development of business-class services in the metro systems of other Chinese cities.
Rights
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Recommended Citation
Gao, F., Han, C., Yang, L., Liang, J., He, X., & Li, F. (2024). Analyzing spatiotemporal distribution patterns of metro ridership: Comparison between common-class and business-class carriage service. Journal of Transport Geography, 115, 103798.
Comments
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http://www.sciencedirect.com/science/journal/09666923