Agent-Based Modeling—A Tool for Urban Resilience Research?

Thomas Brudermann, Christian Hofer, Yoshiki Yamagata

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)


Resilience-related topics have been gaining importance for urban planners and policy makers over the last decades. In this chapter, we argue that agent-based modeling (ABM) offers a promising tool to assess and test resilience-related measures which are planned and implemented in urban neighborhoods. We demonstrate potentials, but also limitations of the method, using the concept of urban electricity sharing as a demonstration case. Electricity sharing systems are based on decentralized electricity generation and large batteries. The availability of such a system can provide local communities with a back-up system during black-outs, which may occur in the aftermath of catastrophic events such as natural or man-made disasters. When real-world tests are costly or impossible, agent-based models can be used to investigate possible collective behaviors and inefficiencies of such a system. Despite limitations when extrapolating results from simulation runs to the real world, and several other challenges, we conclude that the utilization of agent-based models can very well aid planners and policy makers in designing more resilient cities.

Original languageEnglish
Title of host publicationAdvanced Sciences and Technologies for Security Applications
Number of pages17
Publication statusPublished - 2016
Externally publishedYes

Publication series

NameAdvanced Sciences and Technologies for Security Applications
ISSN (Print)1613-5113
ISSN (Electronic)2363-9466


  • Average Electrification
  • Behavioral Rule
  • Collective Behavior
  • Disaster Resilience
  • Electric Vehicle

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Safety Research
  • Political Science and International Relations
  • Computer Science Applications
  • Computer Networks and Communications
  • Health, Toxicology and Mutagenesis


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