Seyyed Mohsen Tabatabaei Mozdabadi
Business intelligence at the forefront of natural disaster management
Thursday, October 16, 2025 10:36 AM
notes
شماره خبر: -4371437
In today's world, where cities are facing rapid population growth, infrastructure development, and increasing natural threats, utilizing new technologies has become an undeniable necessity. In this context, Business Intelligence has gained a special place as a key tool in foresight and intelligent decision-making in urban management and natural disaster prediction.
Business Intelligence at the forefront of natural disaster management
In today's world, where cities are facing rapid population growth, infrastructure development, and increasing natural threats, utilizing new technologies has become an undeniable necessity. In the meantime, Business Intelligence has found a special place as a key tool in foresight and intelligent decision-making in urban management and natural disaster prediction. Seyed Mohsen Tabatabaei Mozdabadi, Secretary General of the Iranian Urban Economics Scientific Association, emphasized the role of business intelligence in reducing the vulnerability of cities in an interview with Mehr, saying: "In the current era, business intelligence, by analyzing urban, economic, and environmental data, enables urban managers to make more informed, faster, and more efficient decisions." Referring to successful global experiences in this field, he added: In countries such as Japan, South Korea, Italy, Turkey and the Netherlands, business intelligence is used as the main infrastructure for smart city management. Tabatabaei-Mozdabadi pointed to an example of these applications in the city of Seoul and explained: In Seoul, a system based on business intelligence has been designed that analyzes traffic data, air pollution and energy consumption in real time so that management decisions can be made in real time. According to him, the city of Rome also uses this technology to analyze population, water resources and infrastructure development, which has increased the return on investments and reduced the costs resulting from wrong decisions.
The role of business intelligence in predicting earthquakes and natural disasters
The Secretary General of the Iranian Urban Economics Scientific Association continued: In addition to general city management, business intelligence also plays a significant role in the field of forecasting natural disasters and earthquakes. Countries such as Japan, China, New Zealand and Turkey have been able to analyze seismographic data, ground structure, building resistance and population density in the form of smart dashboards by using business intelligence systems. He added: For example, in Japan, business intelligence systems integrate earthquake sensor data with urban information, and in the event of a possible earthquake, accurate and regional warnings are issued. Tabatabaei-Mozdabadi also pointed to China's successful experience in this field and said: In the city of Chengdu, business intelligence is used to design emergency evacuation routes and predict urban vulnerable points. The Secretary General of the Iranian Urban Economics Scientific Association, emphasizing the importance of data analysis in reducing earthquake damage, stated: In Turkey, after the recent earthquakes, integrated analytical systems have been developed that collect seismic, population, and construction data in a central database so that management decisions can be made faster and more targeted.
Data Analysis, the Key to Scientific Decision-Making
Tabatabaei-Mozdabadi continued: Data analysis helps engineers and urban managers identify high-risk areas and prioritize urban reconstruction or development projects more accurately. He warned: If business intelligence technologies are not used, cities will face challenges such as late decision-making, lack of coordination between institutions, waste of financial resources, and increased losses from unexpected events. The Secretary General of the Iranian Urban Economics Scientific Association also emphasized the need for data-driven decision-making and said: “The lack of data-driven systems causes decisions to be made solely based on experience or guesswork, while business intelligence data provides a scientific and realistic picture of the urban situation and future risks.” In the final part of his speech, the Secretary General of the Iranian Urban Economics Scientific Association explained the conceptual model of business intelligence as follows: This model includes three main stages; first, collecting data from urban, environmental, and seismic sources; second, analyzing and processing data to identify patterns and predict risks; and third, making smart decisions to increase resilience and reduce damage. He continued: “Data input includes seismic, infrastructure, population, and environmental information. This data is filtered by BI tools and risk patterns are identified.” Then, by simulating scenarios, vulnerable points are identified. Finally, Tabatabai-Mozdabadi emphasized: Smart decision-making includes developing safety solutions, crisis management, and determining emergency evacuation routes based on data. The ultimate goal is to increase safety, resilience, and reduce financial and human losses.
