Journal
JOURNAL OF TRANSPORT GEOGRAPHY
Volume 77, Issue -, Pages 70-78Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jtrangeo.2019.04.011
Keywords
Land use; Transit ridership; Transit-oriented development; Direct ridership model; Travel demand
Categories
Funding
- National Natural Science Foundation of China [71874010]
- Young Elite Scientist Sponsorship Program by the China Association for Science and Technology [2017QNRC001]
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To inform the station-area planning, previous studies use direct ridership models to examine the relationship between the built environment around stations and transit ridership. Based on this framework, this study innovatively applies gradient boosting decision trees to investigate the non-linear effects of built environment variables on station boarding. Using the Metrorail data in the Washington metropolitan area, we found that station-area built environment characteristics collectively contribute to 34% of the predictive power for Metrorail ridership, after controlling for transit service factors and demographics. Built environment variables show threshold effects on Metrorail ridership. We further identified their effective ranges, guiding land use planning around stations. This study highlights the roles of compact and mixed land use development, the number of bus stops, and car ownership in determining the station-level ridership.
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