3 research outputs found

    Factors Affecting Illegal Land-use Changes in Residential Areas: (Case Study: District 6 of Tehran)

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    Today, understanding the trend of land-use changes and its contributing factors is one of the important issues in urban land-use planning and urban management policies. Not all land-use changes comply with urban development plan regulations. Illegal land-use changes, especially in residential areas, are often implemented to reduce the municipality tax for small businesses in large cities in Iran. This trend has become a source of income for municipalities through fine acquisition. The objective of this study was to identify the factors contributing to incompatible and illegal land-use changes in the case study of District 6 in Tehran. The research method used in this study was descriptive-analytical. The data was collected using a questionnaire and a field study. The data were analyzed using the Pearson correlation test and confirmatory factor analysis using the equation modeling technique in the LISREL software. According to the research findings, escape from the traffic scheme zone, with a coefficient load factor of 0.86, and economic profitability, with a coefficient load factor of 0.84, were the most important factors motivating illegal land-use changes in the residential areas in this case study (District 6, Tehran). The main conclusion of this research is the need for change in Tehran urban policies for mitigation of urban planning violations. Specially in this case, the impact of the traffic scheme zone in Tehran should be considered. Another suggestion is the adoption of new urban policies related to taxes on unauthorized activities in residential areas that can counteract the market response to possible changes

    Factors Affecting Illegal Land-use Changes in Residential Areas: (Case Study: District 6 of Tehran)

    Get PDF
    Today, understanding the trend of land-use changes and its contributing factors is one of the important issues in urban land-use planning and urban management policies. Not all land-use changes comply with urban development plan regulations. Illegal land-use changes, especially in residential areas, are often implemented to reduce the municipality tax for small businesses in large cities in Iran. This trend has become a source of income for municipalities through fine acquisition. The objective of this study was to identify the factors contributing to incompatible and illegal land-use changes in the case study of District 6 in Tehran. The research method used in this study was descriptive-analytical. The data was collected using a questionnaire and a field study. The data were analyzed using the Pearson correlation test and confirmatory factor analysis using the equation modeling technique in the LISREL software. According to the research findings, escape from the traffic scheme zone, with a coefficient load factor of 0.86, and economic profitability, with a coefficient load factor of 0.84, were the most important factors motivating illegal land-use changes in the residential areas in this case study (District 6, Tehran). The main conclusion of this research is the need for change in Tehran urban policies for mitigation of urban planning violations. Specially in this case, the impact of the traffic scheme zone in Tehran should be considered. Another suggestion is the adoption of new urban policies related to taxes on unauthorized activities in residential areas that can counteract the market response to possible changes

    Sustainability model to select optimal site location for temporary housing units: combining GIS and the MIVES–Knapsack model

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    Selecting the best site location for temporary housing (TH) is one of the most critical decision-making processes in the aftermath of disasters. Many spatial variables and multi-criteria indicator problems are involved in the decision-making analysis. Incorrect treatment of these components often led to failure in previous post-disaster recovery programmes. Wrong decisions caused short- and long-term negative impacts on the environment and people as well as wasting capital spending. In this regard, this research paper aims to present a novel multi-criteria decision-making approach that helps decision makers select optimal site locations to consider spatial and sustainability-related aims by assessing numerous alternatives. This new model is based on combining a knapsack algorithm and the integrated value model for sustainability assessment (MIVES) to derive optimal alternatives. This model makes it possible to objectively quantify sustainability indicators (economic, environmental, and social aspects) and derive satisfaction indices for each site (or set of sites) in terms of TH location. The model is designed to receive and filter data from a geographic information system (GIS). Using this model in future post-disaster recovery programs is believed to increase stakeholders’ satisfaction and maximise the sustainability associated with the selection.Peer ReviewedPostprint (published version
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