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

Thomas Brudermann, Christian Hofer, Yoshiki Yamagata

研究成果: Chapter

抄録

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.

本文言語English
ホスト出版物のタイトルAdvanced Sciences and Technologies for Security Applications
出版社Springer
ページ135-151
ページ数17
DOI
出版ステータスPublished - 2016
外部発表はい

出版物シリーズ

名前Advanced Sciences and Technologies for Security Applications
ISSN(印刷版)1613-5113
ISSN(電子版)2363-9466

ASJC Scopus subject areas

  • 安全性、リスク、信頼性、品質管理
  • 安全研究
  • 政治学と国際関係論
  • コンピュータ サイエンスの応用
  • コンピュータ ネットワークおよび通信
  • 健康、毒物学および変異誘発

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