The Nonlinear and Threshold Effect of Built Environment on Ride-Hailing Travel Demand
Jiexiang Yin,
Feiyan Zhao,
Wenyun Tang
et al.
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 th… Show more
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