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Updated: Jan 19, 2026
16:14
Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
14.1K
Inferring the structure of pedestrian flows at a transportation hub
Xiaolu Jia1, Claudio Feliciani2, Hisashi Murakami3
1Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China.
Accident; Analysis and Prevention
|January 17, 2026
Summary
This study introduces a new model to understand pedestrian movement in busy transport hubs, improving safety and efficiency. The model accurately predicts origin-destination demand and route choices, helping to manage congestion effectively.
Area of Science:
- Transportation Science
- Complex Systems Modeling
- Urban Planning
Background:
- Pedestrian flow in transportation hubs creates complex networks, leading to congestion during peak hours.
- Existing models often focus on microscopic interactions, neglecting macroscopic origin-destination (OD) demands and mesoscopic route choices.
Purpose of the Study:
- To develop and validate an integrated Strategic-Tactical-Operational (STO-Hub) model for transportation hubs.
- To address the gap in strategic and tactical modeling of pedestrian dynamics in large facilities.
Main Methods:
- Utilized 0.87 million pedestrian trajectories from 11 LiDAR sensors at JR Shinjuku station.
- Employed a gravity model for strategic OD demand estimation.
- Used a logit model for tactical route choice behavior.
- Implemented an agent-based model for operational interactions.
Main Results:
- The STO-Hub model accurately reconstructed OD demand and route-choice behavior.
- Achieved high agreement with directed flow counts and delineated congested areas.
- Successfully captured pedestrian dynamics across strategic, tactical, and operational levels.
Conclusions:
- The STO-Hub model provides a validated framework for understanding and managing pedestrian flow in transportation hubs.
- The integrated approach supports OD-informed pedestrian guidance, congestion prevention, and enhanced operational efficiency.
- The study offers a practical 10-min-resolution basis for hub management.
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