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Logistics Optimization for City Planners: Data Quality And Bias | Evidence from North America

• Cold Chain
• Risk
• Tourism

Abstract

This dissertation investigates “Logistics Optimization for City Planners: Data Quality And Bias | Evidence from North America” using a panel regression with fixed effects. Through a economic lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.