{"id":"https://openalex.org/W7225610337","doi":"https://doi.org/10.3390/buildings16214470","title":"Non-Linear Design Thresholds and Configurational Pathways for Positive Emotions in Urban Micro-Renewal: An Explainable Machine Learning and fsQCA Study of Pocket Parks in a High-Density Cold-Climate City","display_name":"Non-Linear Design Thresholds and Configurational Pathways for Positive Emotions in Urban Micro-Renewal: An Explainable Machine Learning and fsQCA Study of Pocket Parks in a High-Density Cold-Climate City","publication_year":2026,"publication_date":"2026-11-09","ids":{"openalex":"https://openalex.org/W7225610337","doi":"https://doi.org/10.3390/buildings16214470"},"language":"en","primary_location":{"id":"doi:10.3390/buildings16214470","doi":"https://doi.org/10.3390/buildings16214470","is_oa":true,"landing_page_url":"https://doi.org/10.3390/buildings16214470","pdf_url":null,"source":{"id":"https://openalex.org/S4210191137","display_name":"Buildings","issn_l":"2075-5309","issn":["2075-5309"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Buildings","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/buildings16214470","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5161344901","display_name":"Wenfei Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfei Li","raw_affiliation_strings":["School of Architecture and Urban Planning, Shenyang Jianzhu University, Shenyang 110168, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Architecture and Urban Planning, Shenyang Jianzhu University, Shenyang 110168, China","institution_ids":["https://openalex.org/I83714178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102597210","display_name":"Jingcheng Yuan","orcid":"https://orcid.org/0009-0002-9024-7148","observed_orcids":["https://orcid.org/0009-0002-9024-7148"]},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingcheng Yuan","raw_affiliation_strings":["Key Laboratory of Urban and Regional Ecological Construction and Early Warning Control of Liaoning Province, Shenyang 110168, China","School of Architecture and Urban Planning, Shenyang Jianzhu University, Shenyang 110168, China"],"raw_orcid":"https://orcid.org/0009-0002-9024-7148","affiliations":[{"raw_affiliation_string":"Key Laboratory of Urban and Regional Ecological Construction and Early Warning Control of Liaoning Province, Shenyang 110168, China","institution_ids":[]},{"raw_affiliation_string":"School of Architecture and Urban Planning, Shenyang Jianzhu University, Shenyang 110168, China","institution_ids":["https://openalex.org/I83714178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5161312715","display_name":"Qiantong Hu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiantong Hu","raw_affiliation_strings":["Jilin Municipal Bureau of Transportation, Jilin City 132001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin Municipal Bureau of Transportation, Jilin City 132001, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068256923","display_name":"Shi Chen","orcid":"https://orcid.org/0000-0001-5247-8119","observed_orcids":["https://orcid.org/0000-0001-5247-8119","https://orcid.org/0009-0003-8889-7720"]},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Chen","raw_affiliation_strings":["Key Laboratory of Urban and Regional Ecological Construction and Early Warning Control of Liaoning Province, Shenyang 110168, China","School of Architecture and Urban Planning, Shenyang Jianzhu University, Shenyang 110168, China"],"raw_orcid":"https://orcid.org/0009-0003-8889-7720","affiliations":[{"raw_affiliation_string":"Key Laboratory of Urban and Regional Ecological Construction and Early Warning Control of Liaoning Province, Shenyang 110168, China","institution_ids":[]},{"raw_affiliation_string":"School of Architecture and Urban Planning, Shenyang Jianzhu University, Shenyang 110168, China","institution_ids":["https://openalex.org/I83714178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102597210"],"corresponding_institution_ids":["https://openalex.org/I83714178"],"apc_list":{"value":2600,"currency":"CHF","value_usd":3137},"apc_paid":{"value":2600,"currency":"CHF","value_usd":3137},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"21","first_page":"4470","last_page":"4470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10692","display_name":"Urban Green Space and Health","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10692","display_name":"Urban Green Space and Health","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12325","display_name":"Urban Design and Spatial Analysis","score":0.018699999898672104,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13654","display_name":"Urban Planning and Landscape Design","score":0.009600000455975533,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pocket-parks","display_name":"pocket parks","score":0.9440000057220459},{"id":"https://openalex.org/keywords/positive-emotions","display_name":"positive emotions","score":0.8730000257492065},{"id":"https://openalex.org/keywords/built-environment","display_name":"built environment","score":0.5559999942779541},{"id":"https://openalex.org/keywords/configurational-pathways","display_name":"configurational pathways","score":0.9309999942779541},{"id":"https://openalex.org/keywords/cold-climate-cities","display_name":"cold climate cities","score":0.7829999923706055},{"id":"https://openalex.org/keywords/high-density-cities","display_name":"high-density cities","score":0.8539999723434448},{"id":"https://openalex.org/keywords/seasonal-variation","display_name":"seasonal variation","score":0.5429999828338623},{"id":"https://openalex.org/keywords/online-attention","display_name":"online attention","score":0.5339999794960022},{"id":"https://openalex.org/keywords/land-value","display_name":"land value","score":0.777999997138977},{"id":"https://openalex.org/keywords/road-density","display_name":"road density","score":0.9980000257492065},{"id":"https://openalex.org/keywords/landscape-shape-index","display_name":"landscape shape index","score":0.921999990940094},{"id":"https://openalex.org/keywords/equifinal-pathways","display_name":"equifinal pathways","score":0.7889999747276306},{"id":"https://openalex.org/keywords/shenyang","display_name":"Shenyang","score":0.5540000200271606}],"concepts":[{"id":"https://openalex.org/C48947383","wikidata":"https://www.wikidata.org/wiki/Q830719","display_name":"Visitor pattern","level":2,"score":0.7175999879837036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4345000088214874},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.43290001153945923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41350001096725464},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C94617000","wikidata":"https://www.wikidata.org/wiki/Q639854","display_name":"Qualitative comparative analysis","level":2,"score":0.3743000030517578},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3659999966621399},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.36390000581741333},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.3553999960422516},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3093999922275543},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3059999942779541},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C205300905","wikidata":"https://www.wikidata.org/wiki/Q63100","display_name":"Urban design","level":3,"score":0.29249998927116394},{"id":"https://openalex.org/C2777103068","wikidata":"https://www.wikidata.org/wiki/Q3110906","display_name":"Space syntax","level":3,"score":0.29249998927116394},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C134246092","wikidata":"https://www.wikidata.org/wiki/Q6018862","display_name":"Index of dissimilarity","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C3018587665","wikidata":"https://www.wikidata.org/wiki/Q7268696","display_name":"Qualitative analysis","level":3,"score":0.26420000195503235},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2606000006198883},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C82793941","wikidata":"https://www.wikidata.org/wiki/Q1046024","display_name":"Path analysis (statistics)","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2531000077724457},{"id":"https://openalex.org/C148803439","wikidata":"https://www.wikidata.org/wiki/Q4986688","display_name":"Built environment","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/buildings16214470","doi":"https://doi.org/10.3390/buildings16214470","is_oa":true,"landing_page_url":"https://doi.org/10.3390/buildings16214470","pdf_url":null,"source":{"id":"https://openalex.org/S4210191137","display_name":"Buildings","issn_l":"2075-5309","issn":["2075-5309"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Buildings","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/buildings16214470","doi":"https://doi.org/10.3390/buildings16214470","is_oa":true,"landing_page_url":"https://doi.org/10.3390/buildings16214470","pdf_url":null,"source":{"id":"https://openalex.org/S4210191137","display_name":"Buildings","issn_l":"2075-5309","issn":["2075-5309"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Buildings","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":1.0,"display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327473","display_name":"Department of Science and Technology of Liaoning Province","ror":"https://ror.org/02f09cx53"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1972058503","https://openalex.org/W2025875590","https://openalex.org/W2028148377","https://openalex.org/W2071281930","https://openalex.org/W2076707496","https://openalex.org/W2093522163","https://openalex.org/W2117504085","https://openalex.org/W2122270752","https://openalex.org/W2139276001","https://openalex.org/W2169368100","https://openalex.org/W2292026160","https://openalex.org/W2727275208","https://openalex.org/W2761422938","https://openalex.org/W2912544980","https://openalex.org/W2945708519","https://openalex.org/W3151457741","https://openalex.org/W3206287517","https://openalex.org/W4200015318","https://openalex.org/W4220851564","https://openalex.org/W4282961394","https://openalex.org/W4293724271","https://openalex.org/W4304614215","https://openalex.org/W4307003183","https://openalex.org/W4311904390","https://openalex.org/W4321766499","https://openalex.org/W4388162833","https://openalex.org/W4389086553","https://openalex.org/W4389514041","https://openalex.org/W4392639470","https://openalex.org/W4395468458","https://openalex.org/W4396906485","https://openalex.org/W4399035657","https://openalex.org/W4400279326","https://openalex.org/W4400308501","https://openalex.org/W4400618477","https://openalex.org/W4402575026","https://openalex.org/W4402617025","https://openalex.org/W4403311732","https://openalex.org/W4403425559","https://openalex.org/W4403601477","https://openalex.org/W4404195252","https://openalex.org/W4404768734","https://openalex.org/W4406041955","https://openalex.org/W4406270644","https://openalex.org/W4408248488","https://openalex.org/W4408378282","https://openalex.org/W4408724217","https://openalex.org/W4409986332","https://openalex.org/W4410843388","https://openalex.org/W4410940304","https://openalex.org/W4411200630","https://openalex.org/W4411981680","https://openalex.org/W4412865458","https://openalex.org/W4413010035","https://openalex.org/W4413433517","https://openalex.org/W4414284180","https://openalex.org/W4414392448","https://openalex.org/W4416957319","https://openalex.org/W7115062762","https://openalex.org/W7118488660","https://openalex.org/W7125977533","https://openalex.org/W7126014063","https://openalex.org/W7126110903","https://openalex.org/W7131245875","https://openalex.org/W7131425198","https://openalex.org/W7133892303","https://openalex.org/W7140176348","https://openalex.org/W7141027838","https://openalex.org/W7153075112","https://openalex.org/W7160241412","https://openalex.org/W7162316793","https://openalex.org/W7203771900"],"related_works":["https://openalex.org/W7204445604","https://openalex.org/W7153075112","https://openalex.org/W7204874607","https://openalex.org/W2623109980","https://openalex.org/W4388946543","https://openalex.org/W7223660384","https://openalex.org/W4281297605","https://openalex.org/W4409269894","https://openalex.org/W7203486326","https://openalex.org/W7214519791"],"abstract_inverted_index":{"Understanding":[0],"how":[1,25],"built":[2,42],"environment":[3,43],"features":[4,27],"shape":[5,29,138],"visitor":[6],"emotions":[7,77],"through":[8],"non-linear":[9],"thresholds":[10,122,193],"and":[11,40,65,87,116,127,136,171,184,194],"configurational":[12],"pathways":[13],"is":[14],"critical":[15],"for":[16,108,197],"evidence-based":[17],"urban":[18,199],"micro-renewal":[19],"in":[20,49,157],"high-density":[21],"cold-climate":[22],"cities.":[23],"However,":[24],"these":[26,152],"jointly":[28],"emotional":[30],"outcomes":[31],"remains":[32],"unclear.":[33],"We":[34],"analyzed":[35],"36,478":[36],"geolocated":[37],"Weibo":[38],"posts":[39],"16":[41],"variables":[44],"across":[45],"142":[46],"pocket":[47],"parks":[48,106],"Shenyang":[50],"using":[51],"a":[52,79,84,93,180,185],"three-stage":[53],"framework":[54,183],"integrating":[55],"Spearman":[56],"correlation,":[57],"Random":[58],"Forest":[59],"with":[60,83,102],"SHapley":[61],"Additive":[62],"exPlanations":[63],"(SHAP),":[64],"fuzzy-set":[66],"qualitative":[67],"comparative":[68],"analysis":[69,145],"(fsQCA).":[70],"Three":[71],"main":[72],"findings":[73],"emerge.":[74],"First,":[75],"positive":[76],"exhibited":[78,120],"V-shaped":[80],"trajectory":[81],"(2019\u20132025)":[82],"summer\u2013autumn":[85],"peak":[86],"winter":[88],"trough,":[89],"as":[90,92],"well":[91],"core\u2013periphery":[94],"spatial":[95],"structure.":[96],"Online":[97],"attention":[98],"was":[99],"highly":[100],"skewed,":[101],"the":[103],"top":[104],"10":[105],"accounting":[107],"31%":[109],"of":[110,123],"total":[111],"posts.":[112],"Second,":[113],"land":[114],"value":[115],"road":[117],"network":[118],"density":[119,133],"inhibitory":[121],"approximately":[124],"9092":[125],"RMB/m2":[126],"0.384":[128],"km/km2,":[129],"whereas":[130],"internal":[131],"path":[132],"(0.003\u20130.005":[134],"m/m2)":[135],"landscape":[137],"index":[139],"(1.8\u20132.0)":[140],"showed":[141],"optimal":[142],"ranges.":[143],"Seasonal":[144],"further":[146],"revealed":[147],"significant":[148],"threshold":[149],"contraction,":[150],"making":[151],"constraints":[153],"notably":[154],"more":[155],"restrictive":[156],"winter.":[158],"Third,":[159],"fsQCA":[160],"identified":[161],"eight":[162],"equifinal":[163],"pathways,":[164],"which":[165],"were":[166],"grouped":[167],"into":[168],"four":[169,174],"mechanisms":[170],"mapped":[172],"onto":[173],"park":[175],"types.":[176],"This":[177],"study":[178],"offers":[179],"replicable":[181],"hybrid":[182],"Contextual":[186],"Constraint\u2013Internal":[187],"Compensation":[188],"mechanism,":[189],"providing":[190],"quantifiable":[191],"design":[192],"type-specific":[195],"strategies":[196],"cold-region":[198],"micro-renewal.":[200]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-11-10T00:00:00"}