Search Results for author: Xiaojian Zhang

Found 3 papers, 0 papers with code

Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning

no code implementations16 Sep 2022 Xiaojian Zhang, Xiang Yan, Zhengze Zhou, Yiming Xu, Xilei Zhao

The growing significance of ridesourcing services in recent years suggests a need to examine the key determinants of ridesourcing demand.

The Short-term Impact of Congestion Taxes on Ridesourcing Demand and Traffic Congestion: Evidence from Chicago

no code implementations5 Jul 2022 Yuan Liang, Bingjie Yu, Xiaojian Zhang, Yi Lu, Linchuan Yang

To this end, this study applies difference-in-differences, i. e., a regression-based causal inference approach, to empirically evaluate the effect of the congestion tax policy on ridesourcing demand and traffic congestion in Chicago.

Causal Inference regression

A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago

no code implementations8 Sep 2021 Xiaojian Zhang, Xilei Zhao

To account for spatial heterogeneity, this study proposes a Clustering-aided Ensemble Method (CEM) to forecast the zone-to-zone (census-tract-to-census-tract) travel demand for ridesourcing services.

BIG-bench Machine Learning

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