Journal of Urban Economics and Management

Urban regeneration is a comprehensive plan preparing the ground for sustainable improvement in economic, physical, social, and environmental condition in a city. Locating urban regeneration projects is one of the most important steps of the plan. The result of the negligence is failure in the implementation of projects or the imposition of financial, social, and cultural damages to cities. The current study intends to verify the hypothesis that following complex, multi-dimensions, and particularly presented models in this paper are considerably more effective on locating projects through presenting an exact locating model and measuring its accuracy in the case study. 13 criteria and 32 sub-criteria of economic, social, physical, environmental, and administrative information have been simultaneously used in locating process in the proposed model. Compatibility Coefficient for the importance of options in AHP model has been calculated and verified by utilizing GIS instrument. Data were collected from the case study by field method to locate the projects. The results show that there is a direct and significant relation between the place of projects and socio-economic variables in the environment.

One of the aspects of city dynamism is households’ movement from one residential neighborhood to other ones inside the city. These movements that affect city structure have various reasons. Assessing the reasons of household’s residential movement is very complex task since it is due to the concept of residential satisfaction or dissatisfaction. However, this movement, depending on the type of ownership, can be done based on people’s indexes and factors. Therefore, this paper aims to analyze and prioritize importance of residential movement indexes emphasizing on the type of people and households’ ownership in Seyyed Khandan neighborhood of Tehran. To determine sample size of the case study, Cochran formula was used and 175 questionnaires were distributed in the neighborhood. However, in order to prioritize residential indexes in two aspects of (owner/tenant), Entropy and qualitative method of SAW were used. This paper indicates that educated landowners have high tendency and jobless landowners have low tendency to move. This may be due to their fear of losing the ownership of their residential units because of fluctuations in the housing market. However, tenants who earn high income tend to have successive movements greatly and those who are unemployed or earn low revenue prefer to stay in their residential environment. Therefore, it is recommended that banking facilities and urban projects to be increased in line with providing houses for households in order to reduce their repetitive movements.