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Dissertation 4.9

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

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~ 40–55 mins
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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.

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

ABSTRACT
Logistics Optimization for City Planners: Data Quality And Bias | Evidence from North America is unpacked across themes: costs, scalability, change enablement, and usability. Limitations and future research paths are noted.
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