AI-Driven Urban Planning & Spatial Data Science

Ji Eun Lee, Ph.D.

Postdoctoral Fellow

Department of Urban Planning and Design · Urban Systems Institute · The University of Hong Kong

I study how digital behavior, accessibility, and public policy reshape urban spatial structure.

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About

I am an urban researcher combining machine learning, big-data analytics, GIS, and spatial econometrics with urban theory. My work examines 15-minute cities, pandemic resilience, online markets, spatial inequality, and the scaling laws that organize cities.

Research

01

Urban Scaling & Spatial Structure

Examining how land values, accessibility, visitation, and urban functions vary across scales and reorganize city structure.

  • Scaling laws
  • Bid-rent theory
  • Land values
  • Spatial heterogeneity

02

AI Urban Computing

Using machine learning and large-scale spatial data to measure urban dynamics and improve the evidence base for planning.

  • Machine learning
  • Big data
  • GIS
  • Spatial econometrics

03

15-Minute Cities & Accessibility

Calibrating proximity-based planning for sustainable, age-inclusive, and locally responsive access to daily needs.

  • 15-minute city
  • Age-friendly planning
  • Accessibility
  • Local living

04

Digital Markets & Urban Resilience

Tracing how online shopping, platform data, and pandemic policy change mobility, consumption, housing markets, and urban form.

  • Online markets
  • Pandemic policy
  • Housing
  • Spatial inequality
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Selected Publications

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