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Assessment Of Perceived Preferences For Cultural Ecosystem Services And Research On Influencing Factors In The Lake Parks Of Wuhan

Posted on:2024-07-17Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2531307160473454Subject:Landscape architecture study
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Urban blue-green space is a multi-spatial system that includes various types of green spaces and open spaces such as water,which carries the function of ecological protection and beautification of the environment,and also provides a place for leisure and recreational activities for urban residents.However,the expansion of urban construction and the destruction of the water ecological environment have had a certain impact on the sustainable development of the environment,resulting in problems such as the shrinking area of water bodies and the varying quality of the recreational environment,making the provision of high-quality blue-green space a priority for future urban spatial planning.As an interwoven water and green space in the city,lake parks provide a wealth of Cultural Ecosystem Services(CES)that contribute to the well-being of urban residents by providing spiritual,recreational and cultural benefits while maintaining the urban ecological environment.A quantitative study of CES perceptions of lake parks from the perspective of public perceptions and exploration of perceived preferences,revealing the mechanisms by which built environment characteristics factors influence perceptions with visitors,and guiding the optimisation and enhancement of lake parks with public demand and use in mind,while contributing to the protection of the lake environment.This study firstly compares relevant domestic and international research and theories,and conducts a systematic quantitative study of "CES perception preference assessment and influencing factors" based on multiple sources of data,taking 21 completed lake parks in the central city of Wuhan as objects.Secondly,using the crawled social media comments as the data source,we quantified the CES perceptions of the lake parks using natural language processing techniques,which mainly included three aspects: topic extraction,multi-label cultural classification,and sentiment tendency analysis: using LDA topic model to complete topic feature word extraction and CES perception dimension summarization;using ERNIE2.0 pre-training model,through manual tag addition,model training evaluation and A multi-label text classification model was constructed using the ERNIE 2.0pre-training model by adding tags manually,evaluating the model training and predicting the tags in batches.CES perceptual preference features were quantified in terms of both perceived attention and perceived satisfaction.In addition,a typical park was selected for field research to verify the consistency of the perception results between questionnaire data and social media data.Finally,a system of potential environmental influence factors was constructed from two dimensions,namely external area characteristics and internal attribute characteristics of the park.Correlation analysis and curve estimation were used to identify the key influence factors affecting the CES perception of the lake park,and suggestions for optimisation were made.The main findings of the study are as follows:(1)Quantitative assessment of CES perceptual preferences: the types of perceptual dimensions of CES in Wuhan City Lake Park are leisure and entertainment,aesthetic experience,physical and mental health,social interaction,artistic inspiration,history and culture,and science education in a total of seven categories,with the word social network under the physical and mental health dimension being the most closely linked.In terms of perceived attention,aesthetic experience(33.34%)is the highest,while history and culture(4.96%)is the lowest;in terms of perceived satisfaction,leisure and entertainment(4.75)is the highest,while science education(4.19)is the lowest.There are some synergistic trade-offs between the various types of services,with the top four services being closely linked and influencing each other,while artistic inspiration is more independent.Field questionnaire data and social media data for typical parks show consistent trends,with little difference in perceived attention and slightly higher perceived satisfaction between the two.(2)Analysis of factors influencing perceived CES preferences: Among the 34 built environment indicators,recreation,physical and mental health and social interaction services are easily influenced by the external area characteristics of the park,while the remaining four services are more influenced by the internal attributes of the park.The factors that significantly contribute to the perception of CES are health care POI density,sports and fitness POI density,density of the road network in the park,and the number of cultural facilities,while water body shape index and lake water quality have a suppressive effect on the perception of CES.(3)The following optimisation suggestions are made for the future planning and construction of lake parks in terms of maintaining a continuous supply of dominant services and enhancing the diversity of services: highlighting park characteristics,enhancing landscape vitality and enriching recreation types,optimising activity venues and increasing space for fitness activities,improving park greenway systems and protecting the lake environment,and focusing on nature education.Explore the cultural connotation and strengthen the humanistic landscape construction.Based on the perspective of public perception and combining multiple sources of data,this study Using a variety of natural language processing methods to quantify CES perceptions in multiple dimensions,it provides new ideas and methodological guidelines for CES quantification-related research,while analysing key influencing factors,providing new data support for the planning and construction of urban lake parks,ecological environmental protection and recreation quality improvement,and providing an important complement to the sustainable development and management of urban blue-green spaces.
Keywords/Search Tags:Cultural Ecosystem Services, Lake Parks, Public Perception, Natural Language Processing Techniques, Influencing Factors, Wuhan city
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