Agent-based modeling as a tool for program design and evaluation

Lawlor, Jennifer; McGirr, Sara

doi:10.1016/j.evalprogplan.2017.08.015

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…This offers the possibility of creating new insights and knowledge about the direction in which the analysed model might develop in the future. Agent-based models cannot predict the future, but they can be helpful in better understanding of how a process might play out under a particular set of circumstances (Lawlor and McGirr, 2017).…”

Section: Resultsmentioning

confidence: 99%

“…The aim of this paper is to explore potential uses of agent-based modelling (ABM) in brownfield redevelopment decision support practice. According to Lawlor and McGirr (2017), agent-based modelling is a system science method to simplify and simulate complex phenomena. It is an increasingly usable simulation modelling tool that has aroused great interest in the past decade.…”

Section: Introductionmentioning

confidence: 99%

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The agent-based modelling as a decision support tool for brownfield redevelopment

Mitrovic

Kostres

2020

FACTA U SERIES ARCHI

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In recent history of urban studies there is a focus on sustainable urban development and long-term strategies. Dealing with brownfield redevelopment is of vital importance for the prosperous practice of urban planning. The current decisionmaking methods for brownfield redevelopment are mainly used for evaluating on-site situation, but not for future development plans. The purpose of this paper is to consider potential uses of agent-based modelling (ABM) in brownfield redevelopment decision support practice. In these models, agents are assigned with certain rules of behaviour that define their mutual interactions and allow simulations in a previously defined spatial framework. These collective behaviours influence the spatial patterns through interactions of individuals, which is reflected in the fact that the actions of the agents do not simply sum to the activity of the whole. This tool provides us with opportunity of observing possible scenarios of future brownfield development and making adequate decisions and strategies accordingly.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The agent-based modelling as a decision support tool for brownfield redevelopment

Mitrovic

Kostres

2020

FACTA U SERIES ARCHI

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“…Furthermore, ABMS is a bottom-up approach in which the behaviour of a system can be studied via modelling and simulating the behaviours and interactions of individual agents that represent system entities such as people, organizations and businesses. ABMS has been applied in many fields at an increasing rate in the past decade [35,36]. In relation to flooding, applications of agent-based models include flood evacuation simulation [37], risk-based flood incident management [38], flood risk and insurance [39], flood risk communication strategies [40], surface water flood risk and management strategies [41], evolving community flood risk [42], social media and individual behaviours in flood evacuation processes [43] and flood loss assessment with household responses [44].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the operational resilience of small and medium-sized enterprises to flooding using a computational modelling and simulation approach: a case study of the 2007 flood in Tewkesbury

Coates

Alharbi

et al. 2020

Phil. Trans. R. Soc. A.

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The resilience of small and medium-sized enterprises (SMEs) to disruptive events is significant as this highly prevalent category of business forms the economic backbone in developed countries. This article provides an overview of the application of a computational modelling and simulation approach to evaluate SMEs' operational resilience to flooding based on combinations of structural and procedural mitigation measures that may be implemented to improve their premises' resistance to flooding and safeguard their business continuity. The approach integrates flood modelling and simulation with agent-based modelling and simulation (ABMS) within a modelled geographical environment. SMEs are modelled as agents based on findings of semi-structured interviews with SMEs that have experienced flooding or are at risk of flooding. In this paper, the ABMS has been applied to a new case study of the major flood event of 2007 in Tewkesbury. Furthermore, to enable an evaluation of the operational resilience of manufacturing SMEs in terms of the relative effectiveness of flood mitigation measures, a new coefficient based on production loss is introduced. Results indicate structural mitigation measures are more effective than procedural measures. While this result is intuitive, the approach provides a means of evaluating the relative effectiveness of combinations of mitigation measures that SMEs may implement to enhance their operational resilience to flooding. This article is part of the theme issue ‘Urban flood resilience’.

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Mixing Network Analysis and Qualitative Approaches in Educational Practices

Kornbluh

2021

Networks, Knowledge Brokers, and the Public Policymaking Process

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Agent-based modeling as a tool for program design and evaluation

Cited by 7 publications

References 22 publications

The agent-based modelling as a decision support tool for brownfield redevelopment

The agent-based modelling as a decision support tool for brownfield redevelopment

Evaluating the operational resilience of small and medium-sized enterprises to flooding using a computational modelling and simulation approach: a case study of the 2007 flood in Tewkesbury

Mixing Network Analysis and Qualitative Approaches in Educational Practices

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