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

Thomas Brudermann, Christian Hofer, Yoshiki Yamagata

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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
PublisherSpringer
Pages135-151
Number of pages17
DOIs
Publication statusPublished - 2016
Externally publishedYes

Publication series

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

Keywords

  • 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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