| Along with the transformation of the relationship between people and land,the population of the villages has dropped sharply,and the construction land has expanded.Under the influence of economy,society and politics,the spatial carrier of rural settlements is facing the situation of structural imbalance and differentiation.The internal contradictions and incoordination between production,life and ecology are increasingly prominent in rural spaces.The report of the 19 th National Congress of the Communist Party of China pointed out that rural revitalization is the fundamental way to achieve rural prosperity and prosperity,and the construction of a "Production-Living-Ecology" spatial optimization pattern is the fundamental guarantee for the balanced development of rural economy and environment.In the context of regional coordination and the integration of urban and rural areas,the goal of optimizing the rural space of the "Production-Living-Ecology" space coordination is to solve the problems of the degradation of the ecological environment,the decline of the quality of the cultivated land,the confusion of the settlements,and the imbalance of industrial development in the development of rural construction.In view of this,it is of great significance to realize the sustainable development of rural society,economy and ecology by studying the relationship of "Production-Living-Ecology" spatial coordination in Yanliang District,and thereby exploring the path of rural space optimization.Based on remote sensing image analysis,GIS spatial overlay analysis,multidisciplinary comprehensive analysis and other research methods,this paper qualitatively and quantitatively analyzes the spatial pattern characteristics of the "Production-Living-Ecology" space in Yanliang District of Xi’an,with 59 villages in 5 streets in Yanliang District As a research object,construct a comprehensive evaluation index system of "Production-Living-Ecology" space.Through the analysis of the "Production-Living-Ecology" collaborative suitability to measure the level of rural spatial collaborative development,which is applied to the layout results and functional classification,to make reference and guidance for the optimal development of the future rural spatial pattern in Yanliang District.Firstly,sort out relevant theoretical studies,discuss rural areas and the "Production-Living-Ecology" space,and sort out the relevant planning implementation process in Xi’an to provide theoretical support for the optimization path of the " Production-Living-Ecology " space below;Secondly,to build a framework and path analysis for the theory of rural space optimization,mainly put forward the idea of rural space suitability evaluation under the "Production-Living-Ecology" collaborative goal,focusing on the study of the "Production-Living-Ecology" collaborative connotation structure,driving mechanism,planning methods and elastic advantages,and build "Production-LivingEcology" spatial classification system;Thirdly,the status quo mechanism analysis of the overall area of Yanliang District is carried out,and the ecological space is sensitive and fragile,the production space is single and limited,the living space is expanded and diverse spatial characteristics,and its suitability index is analyzed and evaluated.Obtain the appraisal rating of the suitability of the "Production-Living-Ecology" space in Yanliang District,from which the strength and weakness of the suitability of the "Production-Living-Ecology" space in rural areas are analyzed;Finally,by analyzing the comprehensive suitability of the "ProductionLiving-Ecology" space in Yanliang District,the overall layout of the ecological space is "band",the production space is "radial" and the living space is "block".To this end,it is necessary to coordinate the spatial development level and divide the village into three types: leading function optimization type,two-way coordinated development type and space reorganization type.Based on different functional type rural space,an optimized evolution model is built,taking Dongsun Village and Suzhao Village as examples to analyze and put forward space optimization measures. |