Identification the Lands with Redevelopment Capability using Clustering Algorithm Case Study: Arak city

Urban population growth and increasing demand for housing and services in the cities of the country has forced the need for physical development of cities this development in recent decades has been more of external development, and the provision of services and housing has been following by adding to the city's area, that has caused to urban sprawl and deterioration of surroundings and neighboring gardens and agricultures. While that infill development and particularly redevelopment and utilization of land as effective approaches can be considered in reducing damage to the environment and realization of sustainable development of cities. In this regard the aim of this research is to develop a model to identify lands with redevelopment capability and use it to the city of Arak as an example. Therefore, this research tries to answer these questions that how to identify the lands with redevelopment capability? And what are these areas in Arak? For this purpose, an innovative algorithm to identify lands with destruction and redevelopment capability is designed, that urban parts are evaluated on the basis of 8 criteria, construction quality, age of Construction, small lot, permeability, land's price, sponsorship rate, ratio of migration and access to green space. This innovative algorithm has been implemented for example in the city of Arak. The results show that innovative algorithm has nice capability in combination with GIS software and can be used to identify the lands with destruction and redevelopment capability. Also using this algorithm in Arak city lead to identify 4187 pieces with redevelopment capability which has an area of 85.8 hectares and can be used to realization of infill development in Arak city.