2019
DOI: 10.1002/fam.2713
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Generalized analysis of regional fire risk using data visualization of incidents

Abstract: Summary Fire has been a worldwide disaster, and it is important to analyze regional fire risk for better fire prevention. Regional fire risk can be generally analyzed by using data visualization of fire incidents. A dataset of 20 622 fire incidents in Changsha City of China from 2011 to 2017 was processed and filtered as the origin risk points. Then, a generalized risk model (GRM) was established for calculating fire risk values of anywhere in Changsha. By using JavaScript and HTML5, the generalized fire risk … Show more

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Cited by 11 publications
(6 citation statements)
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“…. , 0.7}, Δ 5 � 0.02, 36 levels in total By using (11), the difusion coefcients of h e associated with fve indicators were computed. For comparison, corresponding values of h 0 were also calculated by using (2).…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…. , 0.7}, Δ 5 � 0.02, 36 levels in total By using (11), the difusion coefcients of h e associated with fve indicators were computed. For comparison, corresponding values of h 0 were also calculated by using (2).…”
Section: Resultsmentioning
confidence: 99%
“…Ten, the entropy H can be derived from equation (9). Via equations (10) and (11), h can be computed.…”
Section: Urban Regional Risk Assessment Model Based On Information Di...mentioning
confidence: 99%
See 2 more Smart Citations
“…Incidentes de focos de calor ocorridos entre 2011 e 2017 na cidade de Changsha (China) foram analisados em [Liu et al 2019], com o intuito de se avaliar o risco de incêndios nessa região. A partir dos dados, um modelo de risco generalizado (GRM) foi proposto, e visualizações foram utilizadas de modo a mostrar graficamente tais riscos.…”
Section: Introductionunclassified