چكيده به لاتين
Nowadays, in many cities and especially in metropolitan areas like Tehran, the existence of traffic and movement problems has caused disruptions in the lives of citizens, which in addition to wasting time, energy and public capital, also puts the health of citizens at serious risk and as a result it significantly reduces the quality of urban life. The dominance of the traditional attitude towards the urban transport sector and the use of patterns unrelated to the context and needs of citizens have also aggravated these problems. In this regard, the concept of "urban mobility" was proposed as a new approach in urban planning and transportation to solve the problems arising from it in cities by changing the traditional attitude towards transportation. Also, the use of other sustainable development theories and models, such as the theory of smart growth, can be used in combination with urban mobility and provide a suitable answer to the problems caused by transportation, which the present study also seeks to do.
This research was carried out in the fifth region of Tehran, which is one of the most populated and vast areas of the city. In the research, by raising questions about how to plan sustainable urban mobility with the smart growth approach and examining the theoretical literature, the factors that affecting sustainable urban mobility was found. According to these principles for the study area. Finally, three general criteria of the local scale, non-motorized access and promotion of various options for mobility, were identified as the main and effective factors on urban mobility. Then, by using previous studies related to the subject, general indicators (including 53 indicators) were extracted from them, based on the compatibility with the characteristics of the target range and the study approach, i.e. the principles of smart growth, these indicators were scored by experts and finally 16 final indicators were chosen. After that, in order to knowing and analyzing the region, these indicators were evaluated in two different groups to analyze the seven districts of the fifth region. In the first category (including 11 indicators), in order to obtain citizens' opinions and participation, the data was collected by citizens' questionnaire in the seven districts of the fifth region, and by using data cluster analysis (k-means cluster), these districts were placed in 3 separate clusters based on the degree of similarity. Prioritized needs and problems specific to each of them are obtained. The second group of indicators were also analyzed separately for the seven districts of the fifth region, based on the location data and the information available in the documents.
At the end, a final summary was made for each cluster using SWAT analysis. The specific strategies for each were explained based on the results of the analysis, which were finally used along with the three main criteria affecting urban mobility to prepare strategic documents for each cluster of districts. Also, based on the obtained strategic documents, spatial and non-spatial planning specific to each document was done separately.
