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Effects of the spatial patterns of urban parks on public satisfaction: evidence from Shanghai, China
Context Urban parks need to meet the growing demand for activities vital to residents’ well-being and urban development. A holistic understanding of public satisfaction with urban parks is a prerequisite for improving management. Objective The spatial patterns and composition of urban parks vary gre...
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Published in: | Landscape ecology 2023-05, Vol.38 (5), p.1265-1277 |
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creator | Li, Jie Fu, Jing Gao, Jun Zhou, Rui Wang, Keyue Zhou, Kaiyue |
description | Context
Urban parks need to meet the growing demand for activities vital to residents’ well-being and urban development. A holistic understanding of public satisfaction with urban parks is a prerequisite for improving management.
Objective
The spatial patterns and composition of urban parks vary greatly, and the objective of this study is to comprehensively investigate public satisfaction with urban parks and the impact of their structure.
Methods
With the metropolis of Shanghai, China, as an example, we employed 111,814 social media data sets for 50 urban park sites to quantify public satisfaction via the long short-term memory model. We analyzed the internal, boundary and external dimensions of spatial patterns and described the internal landscape patterns from the perspectives of size, heterogeneity, aggregation, shape, diversity and landscape elements. Moreover, we used all-subset regression and hierarchical partitioning to quantify the relationship and mechanism of action between spatial patterns and public satisfaction.
Results
The results indicate that the mean value of public satisfaction with urban parks was 0.716 (ranging from 0 to 1), which is generally positive or neutral. Satisfaction was influenced by the internal, boundary, and external spatial patterns of urban parks. The independent contribution rates of external transportation facility density (51.49%) and internal edge density (48.51%) to satisfaction.
Conclusions
We highlight the roles of spatial patterns, especially the degree of external transportation convenience and the edge density of urban parks at the landscape level. The findings provide guidance and recommendations for the planning and design of public satisfaction-oriented urban parks. |
doi_str_mv | 10.1007/s10980-023-01615-z |
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Urban parks need to meet the growing demand for activities vital to residents’ well-being and urban development. A holistic understanding of public satisfaction with urban parks is a prerequisite for improving management.
Objective
The spatial patterns and composition of urban parks vary greatly, and the objective of this study is to comprehensively investigate public satisfaction with urban parks and the impact of their structure.
Methods
With the metropolis of Shanghai, China, as an example, we employed 111,814 social media data sets for 50 urban park sites to quantify public satisfaction via the long short-term memory model. We analyzed the internal, boundary and external dimensions of spatial patterns and described the internal landscape patterns from the perspectives of size, heterogeneity, aggregation, shape, diversity and landscape elements. Moreover, we used all-subset regression and hierarchical partitioning to quantify the relationship and mechanism of action between spatial patterns and public satisfaction.
Results
The results indicate that the mean value of public satisfaction with urban parks was 0.716 (ranging from 0 to 1), which is generally positive or neutral. Satisfaction was influenced by the internal, boundary, and external spatial patterns of urban parks. The independent contribution rates of external transportation facility density (51.49%) and internal edge density (48.51%) to satisfaction.
Conclusions
We highlight the roles of spatial patterns, especially the degree of external transportation convenience and the edge density of urban parks at the landscape level. The findings provide guidance and recommendations for the planning and design of public satisfaction-oriented urban parks.</description><identifier>ISSN: 0921-2973</identifier><identifier>EISSN: 1572-9761</identifier><identifier>DOI: 10.1007/s10980-023-01615-z</identifier><identifier>PMID: 37051135</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Aesthetics ; Biomedical and Life Sciences ; Citizen participation ; Density ; Ecology ; Emotions ; Environmental Management ; Happiness ; Heterogeneity ; Influence ; Landscape Ecology ; Landscape/Regional and Urban Planning ; Life Sciences ; Long short-term memory ; Nature Conservation ; Original Paper ; Parks ; Parks & recreation areas ; Questionnaires ; Social networks ; Sustainable Development ; Transportation ; Urban areas ; Urban development</subject><ispartof>Landscape ecology, 2023-05, Vol.38 (5), p.1265-1277</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-b937f4243eb5f5d6377b2e33ca443e198ff411573914b5c3397bc2d2af6dbb533</citedby><cites>FETCH-LOGICAL-c474t-b937f4243eb5f5d6377b2e33ca443e198ff411573914b5c3397bc2d2af6dbb533</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37051135$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Jie</creatorcontrib><creatorcontrib>Fu, Jing</creatorcontrib><creatorcontrib>Gao, Jun</creatorcontrib><creatorcontrib>Zhou, Rui</creatorcontrib><creatorcontrib>Wang, Keyue</creatorcontrib><creatorcontrib>Zhou, Kaiyue</creatorcontrib><title>Effects of the spatial patterns of urban parks on public satisfaction: evidence from Shanghai, China</title><title>Landscape ecology</title><addtitle>Landsc Ecol</addtitle><addtitle>Landsc Ecol</addtitle><description>Context
Urban parks need to meet the growing demand for activities vital to residents’ well-being and urban development. A holistic understanding of public satisfaction with urban parks is a prerequisite for improving management.
Objective
The spatial patterns and composition of urban parks vary greatly, and the objective of this study is to comprehensively investigate public satisfaction with urban parks and the impact of their structure.
Methods
With the metropolis of Shanghai, China, as an example, we employed 111,814 social media data sets for 50 urban park sites to quantify public satisfaction via the long short-term memory model. We analyzed the internal, boundary and external dimensions of spatial patterns and described the internal landscape patterns from the perspectives of size, heterogeneity, aggregation, shape, diversity and landscape elements. Moreover, we used all-subset regression and hierarchical partitioning to quantify the relationship and mechanism of action between spatial patterns and public satisfaction.
Results
The results indicate that the mean value of public satisfaction with urban parks was 0.716 (ranging from 0 to 1), which is generally positive or neutral. Satisfaction was influenced by the internal, boundary, and external spatial patterns of urban parks. The independent contribution rates of external transportation facility density (51.49%) and internal edge density (48.51%) to satisfaction.
Conclusions
We highlight the roles of spatial patterns, especially the degree of external transportation convenience and the edge density of urban parks at the landscape level. The findings provide guidance and recommendations for the planning and design of public satisfaction-oriented urban parks.</description><subject>Aesthetics</subject><subject>Biomedical and Life Sciences</subject><subject>Citizen participation</subject><subject>Density</subject><subject>Ecology</subject><subject>Emotions</subject><subject>Environmental Management</subject><subject>Happiness</subject><subject>Heterogeneity</subject><subject>Influence</subject><subject>Landscape Ecology</subject><subject>Landscape/Regional and Urban Planning</subject><subject>Life Sciences</subject><subject>Long short-term memory</subject><subject>Nature Conservation</subject><subject>Original Paper</subject><subject>Parks</subject><subject>Parks & recreation areas</subject><subject>Questionnaires</subject><subject>Social networks</subject><subject>Sustainable Development</subject><subject>Transportation</subject><subject>Urban areas</subject><subject>Urban development</subject><issn>0921-2973</issn><issn>1572-9761</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9UU1vFSEUJUZjn9U_0IUhcdOFoxcYhsFFk-alfiRNXLSuCTDwhjoPWphpYn-9tK-21oWrC-eee-65OQgdEPhAAMTHQkD20ABlDZCO8ObmGVoRLmgjRUeeoxVIShoqBdtDr0q5AADGAF6iPSaAE8L4Cg0n3js7F5w8nkeHy6Weg55wLbPL8Q5fstGxIvln_dbHYqZgcanE4rWdQ4qfsLsOg4vWYZ_TFp-NOm5GHd7j9Riifo1eeD0V9-a-7qMfn0_O11-b0-9fvq2PTxvbinZujGTCt7RlznDPh44JYahjzOq2YkT23rek3sckaQ23jElhLB2o9t1gDGdsHx3tdKvFrRusi3PWk7rMYavzL5V0UE87MYxqk66VlIL3Pa0Ch_cCOV0trsxqG4p106SjS0tRtAfoKCEdVOq7f6gXacmxnqeokJJKaMWtI7pj2ZxKyc4_mCGgbkNUuxBVDVHdhahu6tDbv894GPmTWiWwHaHUVty4_Lj7P7K_Acq9qOo</recordid><startdate>20230501</startdate><enddate>20230501</enddate><creator>Li, Jie</creator><creator>Fu, Jing</creator><creator>Gao, Jun</creator><creator>Zhou, Rui</creator><creator>Wang, Keyue</creator><creator>Zhou, Kaiyue</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7ST</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2P</scope><scope>M7P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20230501</creationdate><title>Effects of the spatial patterns of urban parks on public satisfaction: evidence from Shanghai, China</title><author>Li, Jie ; Fu, Jing ; Gao, Jun ; Zhou, Rui ; Wang, Keyue ; Zhou, Kaiyue</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-b937f4243eb5f5d6377b2e33ca443e198ff411573914b5c3397bc2d2af6dbb533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aesthetics</topic><topic>Biomedical and Life Sciences</topic><topic>Citizen participation</topic><topic>Density</topic><topic>Ecology</topic><topic>Emotions</topic><topic>Environmental Management</topic><topic>Happiness</topic><topic>Heterogeneity</topic><topic>Influence</topic><topic>Landscape Ecology</topic><topic>Landscape/Regional and Urban Planning</topic><topic>Life Sciences</topic><topic>Long short-term memory</topic><topic>Nature Conservation</topic><topic>Original Paper</topic><topic>Parks</topic><topic>Parks & recreation areas</topic><topic>Questionnaires</topic><topic>Social networks</topic><topic>Sustainable Development</topic><topic>Transportation</topic><topic>Urban areas</topic><topic>Urban development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Jie</creatorcontrib><creatorcontrib>Fu, Jing</creatorcontrib><creatorcontrib>Gao, Jun</creatorcontrib><creatorcontrib>Zhou, Rui</creatorcontrib><creatorcontrib>Wang, Keyue</creatorcontrib><creatorcontrib>Zhou, Kaiyue</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Landscape ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Jie</au><au>Fu, Jing</au><au>Gao, Jun</au><au>Zhou, Rui</au><au>Wang, Keyue</au><au>Zhou, Kaiyue</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of the spatial patterns of urban parks on public satisfaction: evidence from Shanghai, China</atitle><jtitle>Landscape ecology</jtitle><stitle>Landsc Ecol</stitle><addtitle>Landsc Ecol</addtitle><date>2023-05-01</date><risdate>2023</risdate><volume>38</volume><issue>5</issue><spage>1265</spage><epage>1277</epage><pages>1265-1277</pages><issn>0921-2973</issn><eissn>1572-9761</eissn><abstract>Context
Urban parks need to meet the growing demand for activities vital to residents’ well-being and urban development. A holistic understanding of public satisfaction with urban parks is a prerequisite for improving management.
Objective
The spatial patterns and composition of urban parks vary greatly, and the objective of this study is to comprehensively investigate public satisfaction with urban parks and the impact of their structure.
Methods
With the metropolis of Shanghai, China, as an example, we employed 111,814 social media data sets for 50 urban park sites to quantify public satisfaction via the long short-term memory model. We analyzed the internal, boundary and external dimensions of spatial patterns and described the internal landscape patterns from the perspectives of size, heterogeneity, aggregation, shape, diversity and landscape elements. Moreover, we used all-subset regression and hierarchical partitioning to quantify the relationship and mechanism of action between spatial patterns and public satisfaction.
Results
The results indicate that the mean value of public satisfaction with urban parks was 0.716 (ranging from 0 to 1), which is generally positive or neutral. Satisfaction was influenced by the internal, boundary, and external spatial patterns of urban parks. The independent contribution rates of external transportation facility density (51.49%) and internal edge density (48.51%) to satisfaction.
Conclusions
We highlight the roles of spatial patterns, especially the degree of external transportation convenience and the edge density of urban parks at the landscape level. The findings provide guidance and recommendations for the planning and design of public satisfaction-oriented urban parks.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>37051135</pmid><doi>10.1007/s10980-023-01615-z</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aesthetics Biomedical and Life Sciences Citizen participation Density Ecology Emotions Environmental Management Happiness Heterogeneity Influence Landscape Ecology Landscape/Regional and Urban Planning Life Sciences Long short-term memory Nature Conservation Original Paper Parks Parks & recreation areas Questionnaires Social networks Sustainable Development Transportation Urban areas Urban development |
title | Effects of the spatial patterns of urban parks on public satisfaction: evidence from Shanghai, China |
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