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- Title
The Nonlinear and Threshold Effect of Built Environment on Ride-Hailing Travel Demand.
- Authors
Yin, Jiexiang; Zhao, Feiyan; Tang, Wenyun; Ma, Jianxiao
- Abstract
While numerous studies have explored the correlation between the built environment and ride-hailing demand, few have assessed their nonlinear interplay. Utilizing ride-hailing order data and multi-source built environment data from Nanjing, China, this paper uses the machine learning method, eXtreme Gradient Boosting (XGBoost), combined with Shapley Additive exPlanations (SHAP) and Partial Dependence Plots (PDPs) to investigate the impact of built environment factors on ride-hailing travel demand, including their nonlinear and threshold effects. The findings reveal that dining facilities have the most significant impact, with a contribution rate of 30.75%, on predicting ride-hailing travel demand. Additionally, financial, corporate, and medical facilities also exert considerable influence. The built environment factors need to reach a certain threshold or within a certain range to maximize the impact of ride-hailing travel demand. Population density, land use mix, and distance to the subway station collectively influence ride-hailing demand. The results are helpful for TNCs to allocate network ride-hailing resources reasonably and effectively.
- Subjects
NANJING (Jiangsu Sheng, China); BUILT environment; SUBWAY stations; SCHOOL lunchrooms, cafeterias, etc.; HEALTH facilities; MACHINE learning; POPULATION density; LAND use
- Publication
Applied Sciences (2076-3417), 2024, Vol 14, Issue 10, p4072
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app14104072