Fire Risk Assessment in Dense Urban Areas Using Information Fusion Techniques

A comprehensive fire risk assessment is very important in dense urban areas as it provides an estimation of people at risk and property. Fire policy and mitigation strategies in developing countries are constrained by inadequate information, which is mainly due to a lack of capacity and resources for data collection, analysis, and modeling. In this research, we calculated the fire risk considering two aspects, urban infrastructure and the characteristics of a high-rise building for a dense urban area in Zanjan city. Since the resources for this purpose were rather limited, a variety of information was gathered and information fusion techniques were conducted by employing spatial analyses to produce fire risk maps. For this purpose, the spatial information produced using unmanned aerial vehicles (UAVs) and then attribute data (about 150 characteristics of each high-rise building) were gathered for each building. Finally, considering high-risk urban infrastructures, like the position of oil and gas pipes and electricity lines and the fire safety analysis of high-rise buildings, the vulnerability map for the area was prepared. The fire risk of each building was assessed and its risk level was identified. Results can help decision-makers, urban planners, emergency managers, and community organizations to plan for providing facilities and minimizing fire hazards and solve some related problems to reduce the fire risk. Moreover, the results of sensitivity analysis (SA) indicate that the social training factor is the most effective causative factor in the fire risk.

[1]  Suryono Suryono,et al.  Real-time Geographic Information System (GIS) for Monitoring the Area of Potential Water Level Using Rule Based System , 2018 .

[2]  Mihai Datcu,et al.  Information processing for unmanned aerial vehicles (UAVs) in surveying, mapping, and navigation , 2018, Geo spatial Inf. Sci..

[3]  Ershun Zhong,et al.  A local spatial decision support system for developing countries based on MCA, fuzzy sets and OWA – case study of a municipality in Cuba , 2013, Geo spatial Inf. Sci..

[4]  Abbas Rajabifard,et al.  An evaluation of integrating multisourced sensors for disaster management , 2015, Int. J. Digit. Earth.

[5]  Samee Ullah Khan,et al.  Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation , 2010, Environ. Model. Softw..

[6]  Hung-Chih Hung,et al.  Building resilience: Mainstreaming community participation into integrated assessment of resilience to climatic hazards in metropolitan land use management , 2016 .

[7]  Yi Guang-wang,et al.  Fuzzy Comprehensive Evaluation of Fire Risk on High-Rise Buildings , 2011 .

[8]  Alexander Zipf,et al.  Completeness of citizen science biodiversity data from a volunteered geographic information perspective , 2017, Geo spatial Inf. Sci..

[9]  Jing Xin,et al.  Fire risk analysis of residential buildings based on scenario clusters and its application in fire risk management , 2013 .

[10]  Mohammad Sadi Mesgari,et al.  Modelling and predicting the spatial dispersion of skin cancer considering environmental and socio-economic factors using a digital earth approach , 2018, Int. J. Digit. Earth.

[11]  Mohammadreza Jelokhani-Niaraki,et al.  An ontology-based multicriteria spatial decision support system: a case study of house selection , 2012, Geo spatial Inf. Sci..

[12]  Charles Jennings,et al.  Social and economic characteristics as determinants of residential fire risk in urban neighborhoods: A review of the literature , 2013 .

[13]  Jing Zhao,et al.  Gap analysis on open data interconnectivity for disaster risk research , 2019, Geo spatial Inf. Sci..

[14]  Aníbal Costa,et al.  Urban Fire Risk: Evaluation and Emergency Planning , 2016 .

[15]  Artemis Skarlatidou,et al.  Improved Methods for Fire Risk Assessment in Low-Income and Informal Settlements , 2017, International journal of environmental research and public health.

[16]  C. Daniel One-at-a-Time Plans , 1973 .

[17]  Gui-Song Xia,et al.  Analysis of large-scale UAV images using a multi-scale hierarchical representation , 2018, Geo spatial Inf. Sci..

[18]  Gang Tao,et al.  Fire Risk Assessment of High-rise Buildings Based on Gray-FAHP Mathematical Model , 2018 .