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Dissertation 4.8

Urban Planning and Data Quality And Bias among Gig Workers — 2025–2027 Trends

40
Pages
Harvard
Style
~ 42–59 mins
Reading Time
Sustainability Tourism Education
Abstract

This dissertation investigates “Urban Planning and Data Quality And Bias among Gig Workers — 2025–2027 Trends” using a time-series forecasting. Through a human-centered lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Urban Planning and Data Quality And Bias among Gig Workers — 2025–2027 Trends

ABSTRACT
Urban Planning and Data Quality And Bias among Gig Workers — 2025–2027 Trends is unpacked across themes: KPIs, equity, governance, and security. Limitations and future research paths are noted.
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