The modeling of urban land allocation and zoning using dynamic spatial decision support system (DSDSS) using integrated spatial assessment (DISA) approach based on environmental indicators in urban areas (Case Study: Chadegan city)

Message:
Article Type:
Case Study (دارای رتبه معتبر)
Abstract:
Background and Objective

Today, there are two differences of opinion and approach review including the trend and intensity of land use change and land protection changes regarding the development of urban areas and the use of land, which explain the characteristics of the growth and expansion of cities and their environmental sustainability. The current trend of growth and development of urban and residential areas and the resulting regional changes have been proposed and introduced as one of the main challenges to define development strategies in urban areas.
Material and

Methodology

 Today, achieving appropriate methods of measurement and evaluation and planning at all levels is supported by managers in urban areas. Although different factors such as location and natural, environmental, ecological, edaphic characteristics, social, cultural, economic and even political conditions are taken into consideration in the existing models and methods for land preparation and land allocation for different uses, it can be stated that in some of them, such as CLUE-S and AEZ models, only the change of land use, including agriculture, pasture and forest lands, has been considered. Now, the arguments about the planning of urban areas in relation to land allocation, research events in the field of land use in the form of principles and concepts of land planning have been more emphasized.

Finding

The present study aimed to model the allocation and zoning of urban land in the form of a case study in the city of Chadegan, located in Isfahan province, and also the modeling was performed using the integration of spatial modeling methods and multi-attribute decision making with balanced score card methods and clean production in the environment of geographic information systems.
Discussion and

Conclusion

The result of the research presented a descriptive model based on scoring 22 indicators related to 4 social, environmental, ecological and economic criteria or components. Thus, by identifying the features and attributes of each of the components and preparing thematic maps related to them based on the scores of each of the 22 indicators in the environment of geographic information systems, it is possible to allocate and zone urban lands in 4 situations including unfavorable, relatively favorable, favorable and highly favorable according to the type of users in urban areas.

Language:
Persian
Published:
Journal of Environmental Sciences and Technology, Volume:25 Issue: 4, 2023
Pages:
103 to 114
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