مهدي روحاني

In recent decades, the rapid growth of the country's urban population due to the natural growth of the population in urban areas, as well as rural-to-urban migrations and the consequences of industrialization has created many problems for cities, including Tehran. Distribution of services and their inappropriate location are among these problems. One of the most important and basic needs of the urban population in a city, as Tehran is optimal and appropriate access to urban services and facilities. Since many urban services provided to citizens in Tehran through electronic service offices and regional municipalities, proper and fair access to these service providers is of great importance. The location and allocation of these centers and facilities in the city is an important factor in ensuring suitable and fair access to urban services. The aim of the current research is to rank potential point for the establishment of electronic service offices through GIS and location of electronic service offices using a systemic and holistic view in order to design an urban service network. The model proposed in this research consists of two main parts, including the analysis of location information scoring and ranking the candidate points to establish of electronic service offices, and then the mathematical optimization model for the design of the urban service network conditions of uncertainty. To solve the multi-objective model, the augmented epsilon constraint method, and for uncertainty of the model, the possibilistic programming approach has been used. The application of the presented model implemented in the case study of the urban service network of Tehran and the results eva‎luated. As a result, the optimal location of electronic service offices was presented within the scope of the case study, and out of a total of 22 candidate points, the model constructed 12 offices. It was also found that the leveling of service capacity in offices and the grouping of services that can be provided by each office has a direct impact on network costs and its optimization. The total cost of the entire network in the design proposed by the model is 7% less than the current state of the offices, and it has also performed better in the objective functions of justice in access to services.

طراحي شبكه خدمات شهري , بهينه سازي چند هدفه , سيستم اطلاعات جغرافيايي , برنامه ريزي امكاني

urban service network design , multi-objective optimization , geographic information system , possibilistic programming

Mahdi Rohani

Dr. Mir Saman Pishvaee