Predicting Ride Demand and Supplier Availability in Global Ground Transportation: A Data-Driven Approach

Additional Metadata
Keywords	Demand Forecasting, Supplier Capacity Determination, Machine Learning, Pre-Booked Ground Transportation, Predictive Analytics, Time-Series Forecasting, Operational Optimization
Thesis Advisor	Zhou, Yeqing, Rooderkerk, Robert
Persistent URL	hdl.handle.net/2105/77344
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Wren, Charlotte. (2025). Predicting Ride Demand and Supplier Availability in Global Ground Transportation: A Data-Driven Approach. In Business Analytics & Management.http://hdl.handle.net/2105/77344

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