Hierarchical integrated spatial risk assessment model of fire hazard for the core city areas in India

Rani, Geetanjli; Siddiqui, Nihal Anwar; Yadav, Monika; Ansari, Shariq

doi:10.1016/j.landusepol.2023.106536

Cited by 5 publications

(1 citation statement)

References 12 publications

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“…Some scholars have summarized the fire management problems associated with densely populated places, major fire risks, inflammable and explosive units, hazardous chemical enterprises, and other units. Through identifying the potential weak links [19][20][21][22] and assessing the fire risks of urban fire safety [23][24][25][26], countermeasures and suggestions to improve fire management are given accordingly. In identifying the potential weak links of urban fire safety, Ardianto and Chhetri applied the Markov chain method to model the spatio-temporal dynamics of urban residential fire risk and predict the possibility of fire occurrence [19].…”

Section: Introductionmentioning

confidence: 99%

Developing the Urban Fire Safety Co-Management System in China Based on Public Participation

Liu,

Ma,

Song

et al. 2023

Fire

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The new situations, problems, and challenges facing urban fire safety work are gradually increasing in China, so innovating urban fire safety governance modes is an urgent task. In the fire management practice of the Chinese government, the establishment of an urban fire safety co-management system is an important measure for aggregating fire safety management resources and improving the level of urban fire safety prevention, as well as control. In order to reveal and clarify the interacting relationships and influencing mechanisms among multiple subjects in an urban fire safety co-management system, we constructed an urban fire safety co-management game model comprising fire supervision departments, production management units, and the public based on evolutionary game theory. The stability of the urban fire safety co-management game system is explored from the perspective of game subjects. The influencing factors of strategy selection between game subjects in the game system were investigated using numerical simulation analysis. The research results show that elevating the informatization level of co-management, the risk perception level of the public, and the disclosure level of fire safety information are conducive to stimulating the public’s positivity to participate in co-management. Strengthening the accountability of the superior government is conducive to ensuring the supervision level of fire supervision departments. The above measures have positive value for optimizing China’s urban fire safety co-management systems, establishing urban fire safety management synergy, and ensuring the stability of social fire safety situations.

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Section: Introductionmentioning

confidence: 99%

Developing the Urban Fire Safety Co-Management System in China Based on Public Participation

Liu,

Ma,

Song

et al. 2023

Fire

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Research on identification and zoning control of territorial spatial risk pattern based on deep learning: A case study of Shenzhen, China

Xia,

Ma,

Wang

et al. 2024

Journal of Cleaner Production

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Evacuation Simulation and Fire-Risk Assessment on Underground Space of Guangzhou International Financial City

Li,

Bao,

Hong

et al. 2024

Fire

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To explore the evacuation situation of the underground space in the Starting Area of Guangzhou International Financial City under fire, personal evacuation was simulated with Pathfinder in three zones. Then, the visual animation and the human flow rate diagram were obtained and analyzed. A fire-risk assessment model based on a combined weighting and the technique for order of preference by similarity to ideal solution (TOPSIS) is proposed to assess the fire risk of three zones. First, six second-level indices were determined from three aspects: regional safety evacuation, regional fire prevention, and regional fire extinguishment. The value of regional safety evacuation was determined by the results of the evacuation simulation. Second, the subjective and objective weights of the second-level indices were determined based on the analytic hierarchy process and entropy weight method, respectively, and a combined weighting method was adopted to reflect the subjective and objective weights. Next, TOPSIS was used to calculate the relative closeness between each scheme and the ideal scheme. The relative closeness is an evaluation index used to determine the fire-risk level of three zones. It was found that the fire-risk level of Zone Ⅰ is high, requiring large-scale rectification. The fire-risk level of Zone Ⅱ is low, and the fire toughness is strong. The fire-risk level of Zone Ⅲ is medium and needs local rectification.

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Hierarchical integrated spatial risk assessment model of fire hazard for the core city areas in India

Cited by 5 publications

References 12 publications

Developing the Urban Fire Safety Co-Management System in China Based on Public Participation

Developing the Urban Fire Safety Co-Management System in China Based on Public Participation

Research on identification and zoning control of territorial spatial risk pattern based on deep learning: A case study of Shenzhen, China

Evacuation Simulation and Fire-Risk Assessment on Underground Space of Guangzhou International Financial City

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