Investigation of the spatial variation of ambient air VOCs and their effects on the health risk caused by long-term exposure in urban area.

Long-term exposure to Volatile Organic Compounds (VOCs) is a health risk for citizens. In this study, the cumulative health risk of exposure to VOCs in Tehran was assessed by investigating the concentration of these pollutants in ambient air in a five-year period. Health risk assessment was calculated by the quantitative method and the carcinogenic risk level was determined using the lifetime carcinogenic risk (LCR) method.

Citizen participation through volunteered geographic information as equipment for a smart city to monitor urban decay.

One of the issues brought on by rapid urbanization is the loss of livability owing to poor waste management, a lack of resources, air pollution, traffic congestion, and outdated buildings and public infrastructure. The idea of a smart city has arisen as one of the potential solutions to this concern. In this study, we have demonstrated how citizen science helps immensely to the growth of a smart city by crowdsourcing data about urban decay.

Effective medical center finding during COVID-19 pandemic using a spatial DSS centered on ontology engineering.

The global spread of the coronavirus has generated one of the most critical circumstances forcing healthcare systems to deal with it everywhere in the world. The complexity of crisis management, particularly in Iran, the unfamiliarity of the disease, and a lack of expertise, provided the foundation for researchers and implementers to propose innovative solutions. One of the most important obstacles in COVID-19 crisis management is the lack of information and the need for immediate and real-time data on the situation and appropriate solutions.

Hospital site selection using fuzzy AHP and its derivatives.

Environmental managers are commonly faced with sophisticated decisions, such as choosing the location of a new facility subject to multiple conflicting criteria. This paper considers the specific problem of creating a well-distributed network of hospitals that delivers its services to the target population with minimal time, pollution and cost. We develop a Multi-Criteria Decision Analysis process that combines Geographical Information System (GIS) analysis with the Fuzzy Analytical Hierarchy Process (FAHP), and use this process to determine the optimum site for a new hospital in the Tehran urban area.