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Related Experiment Video

Updated: Mar 8, 2026

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
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Improved Methods for Fire Risk Assessment in Low-Income and Informal Settlements.

John Twigg1, Nicola Christie2, James Haworth3

  • 1Department of Civil, Environmental and Geomatic Engineering, University College London, London WC1E 6BT, UK. j.twigg@ucl.ac.uk.

International Journal of Environmental Research and Public Health
|February 4, 2017
PubMed
Summary

Urban fires disproportionately affect low-income communities, causing numerous deaths and injuries. This study explores methods to improve fire risk assessment and mitigation in these vulnerable settlements.

Keywords:
extensive riskfiregeospatial technologieslow-income settlementsrisk assessment

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Area of Science:

  • Urban planning
  • Disaster risk reduction
  • Public health

Background:

  • Fires cause over 300,000 global deaths annually, with 95% in low- and middle-income countries.
  • Burn injury risk is high in rapidly growing low-income and informal urban settlements.
  • Inadequate data hinders effective fire policy and mitigation in resource-constrained settings.

Purpose of the Study:

  • To review methods and tools for identifying, assessing, and addressing fire risk in low-income and informal urban settlements.
  • To explore the potential of adapting community-based disaster risk reduction approaches to urban fire risk.
  • To suggest an improved analytical framework for fire risk assessment in resource-limited environments.

Main Methods:

  • Literature review on fire risk assessment methods and tools.
  • Expert workshop held at University College London in May 2016.
  • Assessment of community-based risk and vulnerability assessment methods for urban fire contexts.

Main Results:

  • Community-based risk and vulnerability assessment methods show potential for adaptation to urban fire risk.
  • Crowdsourcing and citizen science can enhance geospatial data collection for fire risk assessment.
  • An improved analytical framework based on the Haddon Matrix is proposed.

Conclusions:

  • Adapting community-based disaster risk reduction strategies, enhanced by citizen science, can improve urban fire risk assessment in low-income settings.
  • The proposed Haddon Matrix-based framework can assist urban planners and emergency managers in resource-constrained areas.
  • Addressing data limitations is crucial for developing effective fire policies and mitigation strategies in vulnerable urban populations.