Bridging landscape preference and landscape design: A study on the preference and optimal combination of landscape elements based on conjoint analysis

《Bridging landscape preference and landscape design: A study on the preference and optimal combination of landscape elements based on conjoint analysis》

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作者: Keyi Cai;Wenwen Huang;Guangsi Lin

来源: URBAN FORESTRY & URBAN GREENING,Vol.73,Issue1,Article 127615

语言: 英文

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作者单位: Department of Landscape Architecture, School of Architecture, South China University of Technology, Guangzhou 510641, China;State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China;Guangzhou Municipal Key Laboratory of Landscape Architecture, South China University of Technology, Guangzhou 510641, China;Department of Landscape Architecture, School of Architecture, South China University of Technology, Guangzhou 510641, China;State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China;Guangzhou Municipal Key Laboratory of Landscape Architecture, South China University of Technology, Guangzhou 510641, China;Department of Systems Engineering, Czech University of Life Sciences Prague, Kamýcká 129, 165 21 Prague 6-Suchdol, Czech Republic;Nature Conservation Agency of the Czech Republic, Kaplanova 1931/1, 148 00 Prague 11-Chodov, Czech Republic;Healthy Landscapes Research Group, School of Geography, Planning and Spatial Sciences, University of Tasmania, Hobart, Tasmania 7000, Australia;School of Ecosystem and Forest Sciences, Burnley Campus, The University of Melbourne, Richmond, Victoria 3121, Australia;Healthy Liveable Cities Group, Centre for Urban Research, RMIT University, 124 La Trobe Street, Melbourne, Victoria 3000, Australia;Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria 3052, Australia;School of Biological Sciences, The University of Queensland, St Lucia, Queensland 4072, Australia;School of Life and Environmental Sciences, The University of Sydney, Camperdown, New South Wales 2006, Australia;School of Biosciences, The University of Melbourne, Parkville, Victoria 3010, Australia;WSP Australia Pty Ltd., Australia;College of Resources and Environment, Shandong Agricultural University, Tai’an 271018, China;Agricultural and Biological Engineering Department / Tropical Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Homestead, FL 33031, USA;General Education Department, Taishan College of Science and Technology, Tai’an 271000, China;Dezhou Natural Resources Bureau & Forestry Bureau, Dezhou 25300, China;State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, Beijing 100875, China;School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;School of Life Sciences and School of Sustainability, Arizona State University, Tempe, AZ 85287, USA;Tsinghua University High School-Wangjing, Beijing 100102, China;Research Paper"}]},{"#name":"title","$":{"id":"tm005"},"_":"How do different types and landscape attributes of urban parks affect visitors' positive emotions?"}],"floats":[],"footnotes":[],"attachments":[]},"openArchive":false,"openAccess":false,"document-subtype":"fla","content-family":"serial","contentType":"JL","abstract":{"$$":[{"$$":[{"$":{"id":"st005"},"#name":"section-title","_":"Highlights"},{"$$":[{"$$":[{"$$":[{"$$":[{"#name":"label","_":"•"},{"$":{"view":"all","id":"p0005"},"#name":"para","_":"We quantified park visitors’ positive emotions using social media data and sentiment analysis."}],"$":{"id":"o0005"},"#name":"list-item"},{"$$":[{"#name":"label","_":"•"},{"$":{"view":"all","id":"p0010"},"#name":"para","_":"Both park type and landscape attributes matter to the positive emotions of visitors."}],"$":{"id":"o0010"},"#name":"list-item"},{"$$":[{"#name":"label","_":"•"},{"$":{"view":"all","id":"p0015"},"#name":"para","_":"We identified key characteristics of urban parks affecting visitors’ positive emotions."}],"$":{"id":"o0015"},"#name":"list-item"},{"$$":[{"#name":"label","_":"•"},{"$":{"view":"all","id":"p0020"},"#name":"para","_":"Multi-sorce social media data and machine learning can facilitate urban sentiment studies."}],"$":{"id":"o0020"},"#name":"list-item"}],"$":{"id":"l0005"},"#name":"list"}],"$":{"view":"all","id":"sp0005"},"#name":"simple-para"}],"$":{"view":"all","id":"as005"},"#name":"abstract-sec"}],"$":{"view":"all","id":"ab005","lang":"en","class":"author-highlights"},"#name":"abstract"},{"$$":[{"$":{"id":"st010"},"#name":"section-title","_":"Abstract"},{"$$":[{"$":{"view":"all","id":"sp0010"},"#name":"simple-para","_":"Improving the positive emotions of urban populations is essential for meeting the United Nations Sustainable Development Goals (SDGs) of “good health and well-being” and “sustainable cities and communities”. Urban parks generally may enhance people's positive sentiments, but little is known about explicitly linking the landscape composition and configuration of urban parks directly with visitors' sentiments based on social media data. The main objective of this study, therefore, was to identify key landscape attributes that influence this relationship in the Beijing metropolitan region. We first crawled 55,441 valid text data items from Sina Weibo for 99 urban parks within the fifth ring road of Beijing. Then, we quantified the positive emotions of visitors to urban parks using social media data and sentiment analysis. Finally, we evaluated the differences in visitors' positive emotions among different types of parks and used Random Forest to identify urban park attributes that were correlated with positive emotions. We found that visitors to different types of urban parks had different levels of positive emotions. Specifically, visitors to comprehensive parks and cultural relics parks were significantly happier than visitors to community parks. Visitors to parks between the third and fourth ring roads in Beijing had the lowest levels of positive emotions. Positive emotions were found to be positively correlated with park size and the mean size of water bodies but negatively correlated with large areas of impervious surfaces. This study sheds new light on the relationship between park landscape patterns and visitors' positive emotions through a new approach based on social media data. The research methods and findings may inspire similar studies in other cities and countries, which are needed to improve park planning and management and thus enhance urban sustainability."}],"$":{"view":"all","id":"as010"},"#name":"abstract-sec"}],"$":{"view":"all","id":"ab010","class":"author"},"#name":"abstract"}],"$":{"xmlns:ce":true,"xmlns:dm":true,"xmlns:sb":true},"#name":"abstracts"},"pdf":{"urlType":"download","url":"/science/article/pii/S0169204622001311/pdfft?md5=4f8d41161ad6cde53e2c24f3a498ccdb&pid=1-s2.0-S0169204622001311-main.pdf"},"iss-first":"","vol-first":"226","isThirdParty":false,"issn-primary-unformatted":"01692046","issn-primary-formatted":"0169-2046"},{"pii":"S1618866722001248","journalTitle":"Urban Forestry & Urban Greening","publicationYear":"2022","volumeSupText":"Volume 72","articleNumber":"127581","pageRange":"127581","trace-token":"AAAAQGg-Q53MTiazxoVELOJiBAmWS_5Iic7FpEvqVuRIEeSHzJfuBPLKCbu4ShUzi1YJtSZ8fEAqREBoovEkG0oYYfTl7j4COaUismOV1DPbJuzPDJbVoA","authors":{"content":[{"#name":"author-group","$":{"id":"ag0005"},"$$":[{"#name":"author","$":{"id":"au0005","author-id":"S1618866722001248-f39723fae129a8518e862d77d71eb020"},"$$":[{"#name":"given-name","_":"Zhe;State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;Beijing Zoo, Beijing 100044, China;UFZ - Helmholtz Centre for Environmental Research, Department Urban and Environmental Sociology, Permoserstr. 15, Leipzig D-04318, Germany

摘要: Landscape preference is the focus of landscape research, in which the relationship between landscape elements and landscape preference is an important issue. Most previous studies have analysed correlation between the landscape preference scored by the public and scores on the quality of landscape elements by experts; some have compared the effects of individual landscape elements on landscape preference by photo simulation. In this study, landscape preference is regarded as the selection preference of landscape element combination. The conjoint analysis method is used to further explore the ranking and optimal combination of the significant degrees of impact of landscape elements on landscape preference when multiple landscape element combinations are used. The results show that the influence degrees of landscape elements on landscape preference in urban parks followed the order water, square, openness of the landscape, vegetation, road and seats. The optimal combination of landscape elements is the open landscape with flowing water, a shaded square, rich vegetation, a road and seats. This study demonstrates the advantages of the conjoint analysis method over the univariate method in controlling multiple variables, improving experimental efficiency and obtaining more meaningful results. A combination of urban park landscape elements based on landscape preference is helpful to inspire landscape architects to make choices among multiple landscape elements, provides evidence-based design methods for landscape design and offers basic parameters for the wide application of the parametric design or computational design of landscape architecture.