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Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

Agent-based simulation for human-induced hazard analysis.

William M Bulleit¹, Matthew W Drewek

¹Department of Civil and Environmental Engineering, Michigan Tech, Houghton, MI 49931-1295, USA. wmbullei@mtu.edu

Risk Analysis : an Official Publication of the Society for Risk Analysis

|October 1, 2010

Summary

This study introduces agent-based modeling (ABM) to predict the frequency and magnitude of terrorist attacks. The findings suggest ABM is a viable method for engineering design against human-induced hazards.

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Last Updated: Jun 8, 2026

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

Area of Science:

Engineering
Risk Analysis
Computational Social Science

Background:

Terrorism poses a significant hazard requiring probabilistic predictions for design purposes.
Analyzing human-induced hazards analogous to natural hazards necessitates predictive modeling.
Existing design methodologies often lack robust frameworks for incorporating terrorism as a hazard.

Purpose of the Study:

To develop and validate a prototype model for analyzing terrorist attacks using agent-based modeling (ABM).
To explore the viability of ABM for engineering design against human-induced hazards.
To provide probabilistic predictions for the frequency and magnitude of terrorist events.

Main Methods:

Agent-based modeling (ABM) was employed to simulate terrorist attack scenarios.
The model analyzed attack patterns, focusing on frequency, magnitude, and geographical distribution.
Preliminary validation involved assessing attack magnitude distributions and location preferences.

Main Results:

Terrorist attack magnitudes were found to follow a power-law distribution.
Attacks predominantly occurred in high-wealth transit routes and markets.
The ABM approach demonstrated preliminary validation for modeling human-induced hazards.

Conclusions:

Agent-based modeling (ABM) is a viable approach for modeling socioeconomic-based infrastructure systems.
The developed model provides a foundation for engineering design to mitigate human-induced hazards like terrorism.
Probabilistic predictions derived from ABM can inform more resilient system designs.