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.

<p><strong>Abstract.</strong> The ever-increasing development of the cities and the growth of population have led to an uncontrollable sprawl of spatial structure of the cities. Hence, sustainable development and organizing of land-use planning are always an important concern of decision makers. Zanjan city, due to the existence of physical limitations and environmental issues, needs precise planning regarding city development. The aim of this study is to determine the sustainable development direction of urban development while taking the social, economic, and environmental perspectives into account. To determine suitable lands for future developments, totally 10 criteria in three groups, specifically social, economic and environmental were employed. In order to analyse the considered criteria in this study, experts’ opinions were gathered to be used in determining the weights of the criteria using the analytical hierarchical process (AHP). Then, the yielded weights were applied to the criteria in a geographical information system (GIS) through spatial analyses. Finally, the technique for order of preference by similarity to ideal solution (TOPSIS), as a multi-attribute decision making (MADM) method, was utilized to extract the priority of suitable lands for city development. The results show that the most suitable lands for the purpose of future developments are located in the north-eastern and eastern parts, after which are the lands located in the north-western parts. In addition, 15 percent of city development since 2005 has occurred in unsuitable lands. Moreover, to evaluate the results, TOPSIS outcomes were compared with the weighted sum model (WSM) approach.</p>