Participatory Disaster Recovery Simulation Modeling for Community Resilience Planning

Abstract

A major challenge in enhancing the resilience of communities stems from current approaches used to identify needs and strategies that build the capacity of jurisdictions to mitigate loss and improve recovery. A new generation of resilience-based planning processes has emerged in the last several years that integrate goals of community well-being and identity into recovery-based performance measurement frameworks. Specific tools and refined guidance are needed to facilitate evidence-based development of recovery estimates. This article presents the participatory modeling process, a planning system designed to develop recovery-based resilience measurement frameworks for community resilience planning initiatives. Stakeholder engagement is infused throughout the participatory modeling process by integrating disaster recovery simulation modeling into community resilience planning. Within the process, participants get a unique opportunity to work together to deliberate on community concerns through facilitated participatory modeling. The participatory modeling platform combines the DESaster recovery simulation model and visual analytics interfaces. DESaster is an open source Python Library for creating discrete event simulations of disaster recovery. The simulation model was developed using a human-centered design approach whose goal is to be open, modular, and extensible. The process presented in this article is the first participatory modeling approach for analyzing recovery to aid creation of community resilience measurement frameworks.

A systematic literature review of community disaster resilience: main and related research areas and agendas

“…This type of approach was in line with case studies and field studies such as observation, documentation and categorization of the phenomena. These data was elicited from interview (Perera et al, 2017;Pollock et al, 2019;Rahman and Kausel, 2012;Drolet et al, 2015;O'Neill et al, 2016), semi-structured interviews (Houston et al, 2019), group interview (Alaedini et al, 2011;Arneson et al, 2017;Comes et al, 2019), in-depth interviews (Gultom and Joyce, 2014;Cretney, 2016), focus group (Golding et al, 2020;Mosley et al, 2012), field work (Murphy et al, 2014), forum design (Wells et al, 2013;Berke et al, 2011;Dufty, 2017), content analysis (Firdhous and Karuratane, 2018;Herath et al, 2020;Hong et al, 2018), participatory action research (Miles, 2018), document analysis (Sulaiman and Fernando, 2019), ethnographic research (McIlvaine-Newsad et al, 2020), constructivist research (Bacud, 2018), meeting through ergonomics framework (da Silva et al, 2015) and critical review of the literature (Satria et al, 2012). A SLR of community disaster resilience One-third of the studies were quantitative.…”

Enhancing Citizens’ Disaster Resilience through an International Transdisciplinary Research Project in Mongolia

“…Recently, the term "participatory" has attracted much attention in DRR research aimed at improving the resilience of citizens (Inamura et al 2017;Miles 2018;Nara 2015;Okada et al 2018;Reichel and Frömming 2014;Wachinger et al 2018), which is an essential condition for disaster awareness raising among residents. Examples of successful practices in some countries and regions are introduced, while generalization of methodology to improve civic resilience is discussed.…”

Fmdtools

“…Discrete event simulation (e.g. (Matloff, 2008)) has been used to assess and design resilience into systems, including maintenance (Wang, Cui, & Shi, 2015) and recovery aspects (Miles, 2018). Similarly, Monte Carlo techniques are often used with continuous simulation models to quantify risk of hazardous states (Hu, 2005).…”