Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Situation report (Sitrep) visualization for effective management of disaster incidents in Sri Lanka

Bibliographic Data

ID22188045
AuthorsH I Tillekaratne (National Disaster Medical Center), P Wickramagamage (University of Peradeniya), Induka Werellagama (0000-0001-6618-7523, Open Polytechnic), Upaka Rathnayake (0000-0002-7341-9078, Atlantic University), Chandana Siriwardana (0000-0002-0258-9328, Massey University), Asela Bandara, C M Madduma-Bandara (University of Peradeniya), T W M T W Bandara (University of Peradeniya), Amila Abeynayaka (0000-0003-3998-2251, Institute for Global Environmental Strategies)
Year2023
Volume7
Issue3
Pages2206
Publication date2023-10-18
Open AccessYes
TypeARTICLE
VenueJournal of Infrastructure Policy and Development (JOURNAL)
Journal identifiersISSN: 2572-7923 • E-ISSN: 2572-7931
PublisherEnPress Publisher (PUBLISHER)
DOI10.24294/jipd.v7i3.2206
OpenAlexW4387741184
LanguageEN
Citations received1
References cited2

During and after any disaster, a situation report (SITREP) is prepared, based on the Daily Incident Updates (DIU), as an initial decision support information base. It is observed that the decision support system and best practices are not optimized through the available formal reporting on disaster incidents. The rapidly evolving situation, misunderstood terms, inaccurate data and delivery delays of DIU are challenges to the daily SITREP. Multiple stakeholders stipulated with different tasks should be properly understood for the SITREP to initiate relevant response tasks. To fill this research gap, this paper identifies the weaknesses of the current practice and discusses the upgrading of the incident-reporting process using a freely available software tool, enabling further visualization, and producing a comprehensive timely output to share among the stakeholders. In this case, “Power-BI” (a data visualization software) is used as a 360-degree view of useful metrics—in a single place, with real-time updates while being available on all devices for operational decision-making. When a dataset is transformed into several analytical reports and dashboards, it can be easily shared with the target users and action groups. This article analyzed two sources of data, namely the Disaster Management Center (DMC) and the National Disaster Relief Service Center (NDRSC) of Sri Lanka. Senior managers of disaster emergencies were interviewed and explored social media to develop a scheme of best practices for disaster reporting, starting from just before the occurrence, and following the unfolding sequence of the disasters. Using a variety of remotely acquired imageries, rapid mapping, grading, and delineating impacts of natural disasters, were made available to concerned users

Business · Computer security · Data mining · Data science · Emergency management · Geography · Knowledge management · Process management · Sri lanka · Visualization · Computer Science · Disaster Management and Resilience · Engineering · Public Relations and Crisis Communication · Artificial Intelligence

  • Place-centred emerging technologies for disaster management

    Open Access•Matteo Baraldo, Paola Di Giuseppantonio Di Franco•International Journal of Disaster…•2024

  • The Incident Command System

    Gregory A Bigley, Karlene H Roberts•Academy of Management Journal•2001

  • Social media and disasters

    Open Access•J Brian Houston, Joshua Hawthorne et al.•Disasters•2015

Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae