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

Brudermann, Thomas; Hofer, Christian; Yamagata, Yoshiki

doi:10.1007/978-3-319-39812-9_8

Cited by 6 publications

(3 citation statements)

References 35 publications

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“…A sustainable urban system refers to the interconnected network of physical, social, economic, and ecological components that make up a city or metropolitan area (Taylor, 1998;Nichersu and Iacoboaea, 2011). This system includes the built environment, e.g., buildings, roads, infrastructure, the natural environmentsuch as open spaces, rivers, wetlands-and the social and economic networks that facilitate the movement of people, goods, and capital within the urban area (Brudermann et al, 2016). Urban systems are characterized by higher population densities and greater concentrations of economic activity compared to rural areas.…”

Section: Urban Systemsmentioning

confidence: 99%

Fighting the hunger games through permaculture: a scoping review to inform urban planning

Janse van Rensburg,

Puren

2023

Front. Sustain. Cities

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In 2020, more than seven million people across the globe starved, and 868 million people were estimated to be undernourished globally. Although the eradication of hunger is a noble goal, the continuously growing world population together with the warning of a future characterized by food insecurity spells ongoing hardship for the future of humankind. This study explores the extent of permaculture literature to establish its potential place within urban systems. A scoping review looks at permaculture literature from the last 8 years to establish its benefits and limitations, possibly within urban systems. Permaculture is mainly studied from social, environmental, and economic perspectives, and mostly within rural contexts. Urban planning directly concerns the social, environmental, and economic dimensions of urban systems. This study thus reveals the possible merits of permaculture for food production within urban systems; however, certain limitations should be kept in mind that may encumber the implementation of permaculture by urban planning.

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Section: Urban Systemsmentioning

confidence: 99%

Fighting the hunger games through permaculture: a scoping review to inform urban planning

Janse van Rensburg,

Puren

2023

Front. Sustain. Cities

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“…Our search for answers to these questions is aided by the construction of an agentbased model built based upon interviews with LTRG members in Study 2. Agent-based modeling (ABM) can simulate complex systems by representing individual agents with distinct characteristics, interactions, and decision-making abilities [46]. Policymakers and scholars can gain invaluable insights into the dynamics of resource allocation, planning, and resiliency over time by using ABM in the context of PDHR and BBB philosophy [47].…”

Section: Literature Reviewmentioning

confidence: 99%

A Model of Build Back Better Utilization: Long-Term Recovery Groups and Post-Disaster Housing Recovery

Landaeta,

Richman

2023

Sustainability

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Housing recovery, especially for vulnerable populations, can be a challenging process. Questions regarding whether to rebuild damaged housing and whether to restore it to its previous state or to build back better must be answered. In the United States, Long-Term Recovery Groups (LTRGs) play a crucial role in channeling assistance to vulnerable community members as they embark on housing recovery. However, the experiences of LTRGs have been understudied. To address this gap, the study utilizes interviews with a diverse range of LTRG members and develops an agent-based model following the Overview, Design concepts, and Details (ODD) protocol. The results highlight the consequences of adopting or not adopting a Build Back Better (BBB) approach in post-disaster recovery. Communities do not uniformly adhere to the same reconstruction approach, as evidenced by insights from LTRG interviews. BBB implementation is uneven in US LTRGs. BBB has higher initial costs but lower long-term costs because it increases community resilience and sustainability.

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“…The goal of this type of modeling is to evaluate the emergent behavior of the system as a unique entity that results from the interaction between the agents. Agent-based modeling extends a promising option to evaluate and test resilience-related measures (Brudermann et al 2016). An agent-based framework was used to quantify the seismic resilience of an electric power supply system using two agents, the electric power supply system operator, and the community administrator (Sun et al 2019).…”

Section: Agent-based Modelingmentioning

confidence: 99%

Computational models of community resilience

et al. 2021

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Protecting civil infrastructure from natural and man-made hazards is vital. Understanding the impact of these hazards helps allocate resources efficiently. Researchers have recently proposed static and dynamic computational models for community resilience analyses to evaluate a community's ability to recover after a disruptive event. Yet, these frameworks still need to adequately address community interdependencies and consider the impact of decision-making in modeling. This paper presents a state-of-the-art review of computational methods to model community resilience, focusing on the last ten years. It addresses critical terminology, community interdependencies, and current resilience guides within community resilience comprehension and discusses static and dynamic computational models, including probabilistic modeling in uncertain environments, rating models for community resilience assessment, 2 optimization-based modeling for resilient community design, game theory, agent-based, and probabilistic dynamical modeling. This paper presents key findings of promising research for future directions in the community resilience field.

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

Cited by 6 publications

References 35 publications

Fighting the hunger games through permaculture: a scoping review to inform urban planning

Fighting the hunger games through permaculture: a scoping review to inform urban planning

A Model of Build Back Better Utilization: Long-Term Recovery Groups and Post-Disaster Housing Recovery

Computational models of community resilience

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