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Research On The Aging Adaptability Transformation Of Old Community Public Spaces In Chengdu Based On IPA Analysis Method

Posted on:2024-02-04Degree:MasterType:Thesis
Country:ChinaCandidate:Z FengFull Text:PDF
GTID:2542307172465354Subject:Landscape architecture study
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The problem of aging population in China is becoming increasingly serious,and the community based elderly care model of "home based,community based,institution supplemented,and medical care combined" has become an inevitable choice for China to solve the problem of elderly care services.With the continuous development of aging,the requirements of the community home care model for adapting to aging in the community are constantly increasing.Currently,adapting to aging has become a focus of attention in the renovation of old communities in Chengdu.The author introduces the IPA analysis method and takes Shuanglin Community,Sidaojie Community,and Ximianqiao Community in Chengdu as the research objects.Based on the perception characteristics of landscape elements by the elderly,the author clarifies the differences in their needs for the current situation of public space,and proposes a universal strategy for the aging adaptation of public spaces in old communities,providing effective guidance for the practice of aging adaptation of public spaces in old communities in Chengdu.The main research conclusions are as follows:(1)Through field investigation,it is found that the public space of old communities in Chengdu has the advantages of high road accessibility and high reachability of the site,but it also has a compact overall space layout and an old architectural form;Congestion of road scale and lack of pedestrian walkways;The landscape greening is monotonous and the use function is single;Disadvantages such as uneven public service facilities and insufficient medical and elderly care facilities.Summarized the activity preferences of elderly people in the community through a questionnaire.(2)Screening out 24 aging suitability evaluation indicators,establishing an aging suitability evaluation index system and IPA model for public spaces in old communities in Chengdu.The model analysis results show that indicators such as plant species and levels,seasonal changes,site area and quantity,site functional diversity,recreational and recreational facilities are key areas that need to be renovated;Indicators with high importance and satisfaction such as road accessibility and road safety have advantages and do not require renovation;The organization and participation of community activities,as well as the importance of pavement and other indicators,are not highly valued.Just maintain the current situation;The importance and satisfaction of landscape greening indicators are low,and they are in the opportunity zone for renovation.(3)Based on the IPA model and field research results,starting from the six dimensions of landscape greening,landscape facilities,public space,cultural factors,municipal facilities,and road space,develop aging friendly renewal strategies for old communities,such as enriching plant species,optimizing planting spaces,improving water landscapes,adding facilities such as rest and entertainment,increasing activity venues,enriching site functions,and optimizing pedestrian walkways,Provided practical suggestions for the renovation of public spaces in old communities in Chengdu,which are more universal and suitable for promotion.(4)Selecting Shuanglin Community for renovation practice,the aging adaptation renovation of the entire public space is divided into three parts: overall planning,node renovation,and special design.Through the validation of the renovation results,using IPA analysis method to analyze the important values of elderly people’s satisfaction with aging indicators and drawing IPA models,scientific and effective renovation strategies can be obtained,which has played a significant role in improving the aging of public spaces in old communities.
Keywords/Search Tags:IPA analysis method, Old communities, Public spaces, elderly-oriented reform
PDF Full Text Request
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