Research

Featured Peer-Reviewed Article

Gu, H., Kim, S., & Jung, M. (2026). Data-Driven Urban Planning for Proactive Crowd Management: Lessons from the 2022 Seoul Halloween Crowd Crush. Cities, 168, 106418. https://doi.org/10.1016/j.cities.2025.106418

Highlights
  • The crowd crush offers critical insights for data-driven urban planning and proactive crowd management.
  • An unusually concentrated surge in de facto population density highlights the need for time-sensitive interventions.
  • Structurally constrained spaces, identified through space syntax analysis, reveal bottlenecks that hinder crowd dispersal.
  • The incident demonstrates how temporal surges and spatial constraints interact to escalate crowd-related risks.
  • Cluster analysis identifies pedestrian corridors with similar spatial vulnerabilities, enabling preventive urban planning.