A Spatial Decision Support System for evaluation various land uses in built up urban area

摘要

Urban Land Use Planning (ULUP) requires the combination of large volumes of high quality and timely information and proper land use decision models. These are the key factors in applying spatial decision support system (SDSS) as a tool in supporting ULUP. Notwithstanding the huge abilities of GIS in analyzing spatial data, for many complex land use planning problems, current GIS are lacking mathematical modeling and simulation capabilities necessary in land use planning. A proper response to these shortcomings is the development of SDSS.However, many previously-used models/methods used for ULUP can not be easily modeled in and used by GIS and SDSS. Therefore, for using of GIS and SDSS unlimitedly and beneficially, a fresh look is necessary to develop new models/methods and procedures in the field of urban land use planning activities. This paper explains a developed GIS-based method for evaluation of different Land Use/Utilization Types (LUT) in built up parts of urban area. This method can be used for assessing different usages of urban lands and generating alternative land use plans using of GIS and DSS. It introduces a GIS-based decision support system to help urban land use planners in analyzing the suitability of current LUTs in built up urban area according to some quantitative and qualitative criteria. It can also be used to determine problems related to various LUTs in such built up urban area. In this method, we have tried to take a new viewpoint to some traditional concepts in urban planning such as Compatibility Matrix (each LUT in an area should not bring down the usability of other groups of land use types), Desirability Matrix (suitability of each site for its currently used LUT), Capacity Matrix (each LUT has a area of influence depend on it's activities) and Dependency Matrix (each LUT needs other special LUTs within or in its vicinity to be run and used by people properly and efficiency). In other words, we have integrated GIS with the related rules and criteria represented in the mentioned matrices to develop a SDSS for assessment of various urban LUTs.