The Hazard Consequence Prediction System: A Participatory Action Research Approach to Enhance Emergency Management

Becker Austin (), Hallisey Noah, Kalaidjian Ellis, Stempel Peter and Rubinoff Pamela
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Becker Austin: University of Rhode Island, Kingston, RI, 02881-2003, USA
Hallisey Noah: Marine Affairs, University of Rhode Island, Kingston, RI, USA
Kalaidjian Ellis: Marine Affairs, University of Rhode Island, Kingston, RI, USA
Stempel Peter: Penn State University Park, University Park, PA, USA
Rubinoff Pamela: University of Rhode Island, Kingston, RI, 02881-2003, USA

Journal of Homeland Security and Emergency Management, 2022, vol. 19, issue 1, 1-25

Abstract: Emergency managers (EMs) need nuanced data that contextualize the local-scale risks and impacts posed by major storm events (e.g. hurricanes and nor’easters). Traditional tools available to EMs, such as weather forecasts or storm surge predictions, do not provide actionable data regarding specific local concerns, such as access by emergency vehicles and potential communication disruptions. However, new storm models now have sufficient resolution to make informed emergency management at the local scale. This paper presents a Participatory Action Research (PAR) approach to capture critical infrastructure managers concerns about hurricanes and nor’easters in Providence, Rhode Island (USA). Using these data collection approach, concerns can be integrated into numerical storm models and used in emergency management to flag potential consequences in real time during the advance of a storm. This paper presents the methodology and results from a pilot project conducted for emergency managers and highlights implications for practice and future academic research.

Keywords: disaster impacts; emergency management; infrastructure resilience; participatory action research (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1515/jhsem-2021-0013

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