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Simulating Pedestrian Risk in Dense Urban Networks: Bottlenecks, Flow Interactions, and Intersections

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2026, 31(5), pp.241~250
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : April 14, 2026
  • Accepted : May 12, 2026
  • Published : May 29, 2026

Han Byeol Yoo 1 Hyunchul Ahn 2

1국민대학교/선문대학교
2국민대학교

Accredited

ABSTRACT

This study presents a Python-based simulation design to assess pedestrian crowd-density risks in Seoul’s high-density roads and alleyways using the Social Force Model (SFM). Twenty-four scenarios were constructed across three spatial typologies: bidirectional corridors, T-intersections, and X-intersections. The scenarios varied by flow volume, obstacle placement, and stopping probability. Risk was evaluated using five indicators: collisions, near-miss events, mean walking speed, blocked ratio, and queue pressure, integrated into a Composite Risk Index (RI). Each scenario was repeated with five independent random seeds for robustness. Results show that T-intersections produced the highest risk, with T08 recording RI = 0.834 ± 0.122, followed by T04. X-intersections showed the greatest variability, while obstacles in corridors increased collisions more sharply than blockage.

Citation status

* References for papers published after 2024 are currently being built.