[WUPENiCity] Field Research on Optimization of Park-and-Ride (P+R) Systems in Hangzhou

Xuanyu Zhou, Qianyi Yu
Instructor: Prof. Chuankun Rao

Investigated the efficacy of Hangzhou’s Park-and-Ride system in reducing carbon emissions and urban congestion through mixed-method field research at five metro stations. Constructed a “Willingness-to-Use” model using Random Forest algorithms and SHAP value analysis, identifying commute time and facility accessibility as critical drivers. Proposed strategic optimizations, including a “City Brain” integrated smart reservation system and GIS-based service radius adjustments using Thiessen polygons to resolve spatial mismatches.

Tech Stack: Random Forest, SHAP Analysis, GIS, Statistical Analysis, Field Survey