What influences Metro station ridership in China? Insights from Nanjing
| Autor: | Jinbao Zhao, Wei Deng, Yan Song, Yueran Zhu |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
education.field_of_study
Urban rail transit Geographic information system Variables Sociology and Political Science business.industry media_common.quotation_subject Population Context (language use) Regression analysis Development Urban Studies Transport engineering Geography Dummy variable Tourism Leisure and Hospitality Management Catchment area education business media_common |
| Zdroj: | Cities. 35:114-124 |
| ISSN: | 0264-2751 |
| DOI: | 10.1016/j.cities.2013.07.002 |
| Popis: | China is undertaking one of the most ambitious rail expansions in the world. This paper investigated the impacts of factors on ridership within Metro stations’ pedestrian catchment area (PCA) in Nanjing, China. Direct ridership model was developed to explain the ridership at 55 Metro stations using a Geographic Information System (GIS) and multiple regression analysis. Independent variables included factors measuring land use, external connectivity, intermodal connection, and station context. Six variables were found to be significantly associated with Metro station ridership at the 0.05 level: population, business/office floor area, CBD dummy variable, number of education buildings, entertainment venues and shop centers. Five variables were proved to be related to station ridership at the 0.01 significance level: employment, road length, feeder bus lines, bicycle park-and-ride (P&R) spaces, and transfer dummy variable. In particular, CBD dummy variable, the number of education buildings, entertainment venues and shop centers, and bicycle P&R spaces were found to be significantly connected to Metro station ridership in the present study. The results not only confirm some findings from previous studies but also show distinct differences regarding some variables specific to the Chinese context. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect