Measuring Bikeshare Access/Egress Transferring Distance and Catchment Area around Metro Stations from Smartcard Data

Autor: Mingjia He, Xinwei Ma, Yuchuan Jin
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Information
Volume 9
Issue 11
Information, Vol 9, Iss 11, p 289 (2018)
ISSN: 2078-2489
DOI: 10.3390/info9110289
Popis: Metro&ndash
bikeshare integration is considered a green and efficient travel model. To better develop such integration, it is necessary to monitor and analyze metro&ndash
bikeshare transfer characteristics. This paper measures access and egress transferring distances and catchment areas based on smartcard data. A cubic regression model is conducted for the exploration of the 85th access and egress network-based transferring distance around metro stations. Then, the independent samples t-test and one-way analysis of variance (ANOVA) are used to explore access and egress transfer characteristics in demographic groups and spatial and temporal dimension. Additionally, the catchment area is delineated by applying both the network-based distance method and Euclidean distance method. The result reveals that males outcompete females both in access and egress distances and urban dwellers ride a shorter distance than those in suburban areas. Access and egress distances are both shorter in morning peak hours than those in evening peak hours and access distance on weekdays is longer than that on weekends. In addition, network-based catchment area accounts for over 90% of Euclidean catchment area in urban areas, while most of the ratios are less than 85% in suburban. The paper uses data from Nanjing, China as a case study. This study serves as a scientific basis for policy makers and bikeshare companies to improve metro&ndash
bikeshare integration.
Databáze: OpenAIRE
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