فهرست مطالب khedr farajirad

During the last few decades, the number of population and activity in the suburbs of Tehran has grown rapidly and as a result, the buffer zone of the capital city has faced major challenges. Changing the land use, especially natural covers, gardens and agricultural lands in favor of authorized and unauthorized constructions, is the manifestation of these challenges. Factors such as the growing population of Tehran, the extensive needs for land and the inability to respond to these needs as well as the weakness of urban space management have doubled the scope of the negative changes that have occurred. Although different solutions have already been presented to manage the capital's hinterland, they have not been able to match the existing institutional-organizational and spatial structures. Now, the question is, in order to overcome the problems in the capital city, what characteristics should the ideal model have? To answer this question, a qualitative method based on content analysis of documents and interviews with trustees and experts was used. The results show that the appropriate and effective model of hinterland management requires the following: the participation of all management levels from the national to the local, maximizing the role of various departments and organizations involved in hinterland issues, the participation of non-governmental sectors, the provision of a continuous monitoring mechanism of hinterland according to policies, regulations and various programs. If the inadequacies in thehinterland management mechanisms continue, it won't be long before some valuable biological and natural spaces around Tehran metropolis and its surrounding cities will be lost.

Due to the various traffic problems in the cities and the momentary changes in the traffic situation, there are always specific traffic problems for the police cars that are critical for the time of arrival of the crime. Therefore, the purpose of this research is to design intelligent systems for optimal control and management of police cars. In this research, firstly, the factors influencing the motor behavior of the police cars were identified, then, in order to reach the desired system, these factors were analyzed in the GIS environment through the network analysis capability. Research findings show that the Intelligent Police Vehicle Management System is quite efficient in areas such as referring the nearest police car to the accident site, referring the most trusted police car to the accident site with regard to traffic, referring several police cars to the accident site with regard to traffic, imposing travel restrictions in the referral of police cars, the simultaneous referral of police cars to the location of several incidents, and the identification of the areas covered by each police car. Considering the system's efficiency in the aforementioned areas, the establishment of a wide database within the country is one of the requirements for the establishment of this system. Also, due to the complexity of the urban road network and the momentary changes that occur in the streets, it is necessary to provide passage information in an integrated database.

The city center is a multi-functional width that is placed on top of your most important functions of urban، and Compared to other parts of the city plays more and more important role in the field of functional. This paper has been developed the aim Prioritization Patterns and indicators Management and development Part of the city center bukan city. The study is descriptive and analytical. Is used to collect data from field studies and Descriptive statistics were used to analyze the data and techniques TOPSIS. Statistical population is the city authorities، groups and families Owners and business units within the city central part of the Bukan. Results show that the resultant set of factors (historical، economic، demographic، socio - administrative، traffic، physical - Spatial Index activity center)، shall be determined as specified within the town، that can be learned from the central part of the city. Findings Show that each of the above factors are somehow involved in the city central part of Bukan. Final results of the data analysis techniques using indicators to assess the management and development of the city central part of the Bukan by TOPSIS show that it was found that the separation is calculated as the minimum distance from the ideal high diversifying economic activities and the activities of financial institutions with the largest positive distance from the positive ideal. Also standard is far too anti-ideal combination of land use patterns and certain hours of the day has the highest population density and distance from the lowest to the anti-ideal. The final ranking is obtained by combining the land use pattern of the rank and priority. Is the benchmark indices and symbolic elements of the priority ranking of 25 cities in the index have gained the least among other indices