Evidence map›Paper›PMID 38903394›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2019

A Modelling Framework for Householder Decision-Making for Wildfire Emergencies.

Ruggiero Lovreglio, Erica Kuligowski, Steve Gwynne, Ken Strahan

Abstract read
In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. The verification of wildland-urban interface fire evacuation models.Natural hazards (Dordrecht, Netherlands) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ruggiero LovreglioSchool of Built Environment, Massey University, New Zealand.
Erica KuligowskiFire Research Division, National Institute of Standards and Technology, US.
Steve GwynneMovement Strategies, UK.
Ken StrahanStrahan Research, Australia.

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

The occurrence of wildfire threats has increased in the last few decades creating serious challenges for thousands of communities around the world. Understanding the physical and social dynamics imposed by wildfires is fundamental to assessing and reducing the ensuing risk to different communities. Although, several studies investigating household wildfire risk perception and decision-making are available in the literature, modelling solutions to predict household behaviour in wildfire scenarios are still in their early stages. Hence the lack of a behavioural model suitable for embedding within a simulation tool. In this paper, we propose a mathematical framework aimed at simulating how householders perceive the risk associated to wildfires and how they take protective actions in response to such threats. A conceptual Wildfire Decision Model, based on nine assumptions derived from existing literature on human behaviour in wildfires, is introduced. A mathematical framework is then proposed to implement such a model within a simulation tool. The proposed modelling solution can help identify the information required to generate new dynamic and behavioural travel demand models for wildfire evacuation.

Indexed as

decision-makinghouseholderhuman behaviourmodellingwildfire

Identifiers

PMID38903394
PMCPMC11188047

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.