Identification and ranking of the constituent elements of the environmental quality architecture in rural planning using the modified assimilation techniqueCase Study: Shahriar Village (Flard County, Lordegan Township)

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Article Type:
Case Study (دارای رتبه معتبر)
Abstract:

Paying attention to the quality of the environment and its related concerns are the main attributes of contemporary modern life, especially in rural areas. The realization of this type of quality in rural areas also requires compliance with the architecture of environment quality in rural planning. In this regard, determining priorities and ranking the aspects of this architecture (from the perspective of people and local experts) is important in the process of rural planning. The research is based on two central questions of what is the architecture of environment quality. And which one is the priority of planning? Therefore, the village of Shahriyar, in the Falard of Lordegan (with 2342 inhabitants), was selected to answer the questions and drawing a perspective on the architecture of environmental quality. So far, a number of executive plans in the form of rural planning have been implemented in this village. A total number of 6 workgroups with 36 participants were selected through purposeful sampling. In this research, both qualitative and quantitative methods were used to collect and analyze data and answer the questions. Based on local people and experts, 24 indicators in the architecture of environmental quality in rural planning were identified, in which 11 indicators were related to principles, seven indicators were in the field of framework and, six in the field of process. Indicators of each index were determined and grouped according to the Likert scale from very low to very high. The results showed that principles, processes, and frameworks are ranked first to third, respectively, in the architecture of environment quality in rural planning.

Language:
Persian
Published:
Journal of Rural Research, Volume:10 Issue: 3, 2019
Pages:
368 to 381
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