A four-dimensional integrated value framework of ecology-culture-economy-society was constructed in Dongyuan Flower Valley in Damu Township， Xian'an District， Xianning City and a set of integrated planning and evaluation methods guided by this framework was proposed to solve the problem of value ambiguity caused by the urbanization and singularity of the evaluation system and the emphasis on construction over operation in planning rural green space， and promote its high-quality and sustainable development. 5 units of core resource and 7 units of candidate function were identified based on multi-source data. A resource-function matching matrix was established with the Delphi-AHP coupling model. The dominant functions and highly synergistic combinations of “forest health， cultural experience， and flower appreciation economy” were screened based on the results of evaluation to propose strategies for planning and divide the Dongyuan Flower Valley into 4 major functional areas. A post evaluation was conducted by constructing an AHP comprehensive benefit evaluation system closely related to the matching matrix after the implementation of the planning project. The results showed that the implementation of the planning project not only achieved the goals of ecological and cultural protection， but also realized economic benefits and social value. The planning project effectively maintained the integrity and biodiversity of the habitat of core forest， restored 145 hectares of mountains， increased forest coverage from 78% to 84%， and recorded an increase in the number of bird species from over 60 to over 70. Dongyuan Ancient Village and other historical and cultural resources have achieved authentic protection and dynamic utilization， with the annual number of visitors increasing from 32 000 to 100 000， driving an increase of over 70 million yuan in sales of homestays， farmhouses， and agricultural products. It is indicated that the constructed closed-loop methodology of “value recognition-planning generation-benefit evaluation-feedback optimization” can provide quantifiable supporting tools of decision and practical reference paths for the planning and evaluation of rural green spaces.