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Jennings, Charles R.

doi:10.1023/a:1015330931387

Cited by 56 publications

(11 citation statements)

References 17 publications

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“…personal or demographics), and housing characteristics with the residential fire incidence. Socio-economic characteristics are important in predicting the residential fire risk in urban areas [1,2]. Using statistical models, Hasofer and Thomas [3] found that the most significant fire factors that contributed to the risk of casualties and fatalities in apartment fires are the extent of fire damage, area of fire origin, type of material ignited, and ignition factor.…”

Section: Introductionmentioning

confidence: 99%

The analysis of fire losses and characteristics of residential fires based on investigation data in Selangor, 2012-2014

2016

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Abstract. This is a research in progress where authors seek to investigate the factors of residential fires. As part of the research, this paper aims to analyse the fire problems faced by the community of Malaysia. Data regarding residential fires between 2012 and 2014 was collected from fire investigation reports prepared by the Selangor Fire and Rescue Department. Descriptive analysis is conducted to summarize the data collected and describe the common phenomenon of residential fires. The distributions of the fire characteristics suggested that residential fires are commonly occurred during daytime, confined within the room of fire origin, caused by electrical failure and cooking negligence, started from kitchen, and occurred in multi-units housing. Further analysis will be conducted in order to investigate the relationships between the characteristics and residential fires.

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Section: Introductionmentioning

confidence: 99%

The analysis of fire losses and characteristics of residential fires based on investigation data in Selangor, 2012-2014

2016

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“…After periodically seeing a fire truck or hearing its siren, and learning its nearby destination, they may reassess their property's fireproofing (Jennings 1999). A home sale may prompt them to list their own home for sale if friends and neighbours are selling up and moving out (Merlo and Ortalo-Magné 2004).…”

Section: Research Questionsmentioning

confidence: 99%

Comparisons of Residents' Perceptions of Patterns and Trends on Computer-Animated Maps and Graphs and on Google Maps of Events in Their Neighbourhoods

Phipps

2011

Cartographica

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The present study measures and compares the accuracy of residents' browsing of computer-animated maps and graphs and computer-programmed Google maps in two versions of the Glengarry and Wellington-Crawford Geographical Monitoring Project (GWCGMP). Respondents answered the project's entry questions before browsing displays of the locations and timings of crime and disorder offences, fires, and home sales and prices in their neighbourhoods. Before exiting the project, they answered questions about these events piped from their entry answers and browsed displays. One hundred and seven respondents perceived approximately one-quarter of the ''correct'' patterns on browsed maps and trends on browsed graphs. These correct patterns and trends were inferred from time-series and linear regression analyses of data on offences, fires, and housing sales for the neighbourhoods. In addition, respondents agreed with almost onehalf of comparisons between the patterns and timings of their own events and those displayed on maps and graphs. In conclusion, Web-savvy, younger, spatially active residents are inferred to have been more accurate in perceiving online map patterns and graph trends. They were more accurate than casual stay-at-home browsers, who were more likely not to remember patterns, trends, or displays than they were to perceive them incorrectly. RésuméDans la présente étude, on mesure et on compare la précision de l'exploration par les résidents de cartes et de graphiques animatiques et de cartes Google informatisées dans deux versions du Glengarry and Wellington-Crawford Geographical Monitoring Project (GWCGMP). Les participants ont dû répondre à des questions initiales avant d'explorer des présentations sur des scènes et la chronologie de crimes et d'infractions, d'incendies et de ventes de maisons avec leur prix dans leurs quartiers. Avant de terminer le projet, ils ont répondu à des questions sur ces événements basés sur leurs réponses initiales et les affichages explorés. Cent sept répondants ont perçu approximativement le quart des caractéristiques « correctes » sur les cartes et des tendances « correctes » sur les graphiques visualisés. Ces caractéristiques et ces tendances correctes ont été déduites à partir de l'analyse de séries chronologiques et de régressions linéaires sur les infractions, les incendies et les ventes de maison dans leurs quartiers. De plus, les répondants ont été d'accord avec près de la moitié des comparaisons entre les caractéristiques et la chronologie de leurs propres événements et ceux affichés sur les cartes et les graphiques. Enfin, les résidents plus jeunes, qui sont studieux et spatialement actifs, ont été plus précis dans leur perception des caractéristiques cartographiques et des tendances graphiques en ligne. Leur degré de précision était plus élevé que celui des explorateurs informels à leur domicile, qui étaient plus susceptibles de ne pas se remémorer les caractéristiques générales, les tendances ou les affichages que de les percevoir incorrectement.

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“…Residential fires threaten living environments impacting on human welfare through injury, property and amenity loss. The majority of fire-related injuries in many countries around the world is due to residential fires [29,30], while experiencing fire has severe medium and long term psychological effects [31,32,35]. Policies and social organization norms that are seemingly unrelated to fire safety can affect behavior and inadvertently influence residential fire occurrence.…”

Section: Introductionmentioning

confidence: 99%

“…The paper contributes to the literature on the determinants of residential fire risk [22,29,30,58]. To the best of our knowledge, this is the first paper to employ a quasi-experimental approach, assessing the causal effect of disturbances on the temporal organization of individual and social activity on dwelling fire occurrence, and to explicitly explore the role of the sleep mechanism.…”

Section: Introductionmentioning

confidence: 99%

An Assessment of the Relationship Between Daylight Saving Time, Disruptions in Sleep Patterns and Dwelling Fires

Kountouris

2020

Fire Technol

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Residential fires pose threats to living environments, generating costs to health and property. Understanding the roles of human behavior and social organization in determining fire occurrence is important for developing strategies to manage fire risk. This paper tests the impact of daylight saving time (DST) transitions on dwelling fire occurrence. DST transitions affect sleep patterns, impairing human cognitive and motor performance, potentially influencing the incidence of dwelling fires. Employing a regression discontinuity design with time as the running variable and using data from over 260,000 primary dwelling fires that took place in the U.K. over 8 years we do not find evidence suggesting that DST transitions impact on dwelling fire occurrence. For both the start of DST and end of DST transitions, estimated effects is quantitatively small and statistically insignificant. Results suggest that disruptions in sleep patterns induced by DST are not a driver of dwelling fires in the U.K.

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Cited by 56 publications

References 17 publications

The analysis of fire losses and characteristics of residential fires based on investigation data in Selangor, 2012-2014

The analysis of fire losses and characteristics of residential fires based on investigation data in Selangor, 2012-2014

Comparisons of Residents' Perceptions of Patterns and Trends on Computer-Animated Maps and Graphs and on Google Maps of Events in Their Neighbourhoods

An Assessment of the Relationship Between Daylight Saving Time, Disruptions in Sleep Patterns and Dwelling Fires

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