{"id":"https://openalex.org/W7140105363","doi":"https://doi.org/10.1111/tgis.70239","title":"Constructing the Street Environment Composite Metric for Property Valuation: A Hybrid Approach Using Semantic Segmentation and Spatial Statistics","display_name":"Constructing the Street Environment Composite Metric for Property Valuation: A Hybrid Approach Using Semantic Segmentation and Spatial Statistics","publication_year":2026,"publication_date":"2026-03-22","ids":{"openalex":"https://openalex.org/W7140105363","doi":"https://doi.org/10.1111/tgis.70239"},"language":"en","primary_location":{"id":"doi:10.1111/tgis.70239","is_oa":false,"landing_page_url":"https://doi.org/10.1111/tgis.70239","pdf_url":null,"source":{"id":"https://openalex.org/S859791518","display_name":"Transactions in GIS","issn_l":"1361-1682","issn":["1361-1682","1467-9671"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions in GIS","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035011256","display_name":"Yini Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yini Meng","raw_affiliation_strings":["Research Center for Western China Modernization Guizhou University of Finance and Economics  Guiyang China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Western China Modernization Guizhou University of Finance and Economics  Guiyang China","institution_ids":["https://openalex.org/I170172562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130350888","display_name":"Jian Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Yin","raw_affiliation_strings":["Research Center for Western China Modernization Guizhou University of Finance and Economics  Guiyang China"],"raw_orcid":"https://orcid.org/0009-0003-3079-5377","affiliations":[{"raw_affiliation_string":"Research Center for Western China Modernization Guizhou University of Finance and Economics  Guiyang China","institution_ids":["https://openalex.org/I170172562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130331156","display_name":"Huixian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huixian Wang","raw_affiliation_strings":["Research Center for Western China Modernization Guizhou University of Finance and Economics  Guiyang China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Western China Modernization Guizhou University of Finance and Economics  Guiyang China","institution_ids":["https://openalex.org/I170172562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5130350888"],"corresponding_institution_ids":["https://openalex.org/I170172562"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32051282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.5583999752998352,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.5583999752998352,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11988","display_name":"Sustainable Building Design and Assessment","score":0.16820000112056732,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.0722000002861023,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/metric","display_name":"Metric (unit)","score":0.5809999704360962},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5766000151634216},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5455999970436096},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5349000096321106},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4699000120162964},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.45590001344680786},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.44929999113082886},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.42340001463890076},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.40149998664855957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6191999912261963},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5809999704360962},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5766000151634216},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5455999970436096},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5349000096321106},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4699000120162964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4672999978065491},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.45590001344680786},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.44929999113082886},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43860000371932983},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.42340001463890076},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4066999852657318},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3228999972343445},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.31630000472068787},{"id":"https://openalex.org/C138695830","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial dependence","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.2989000082015991},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.28299999237060547},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.27559998631477356},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2711000144481659},{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.25929999351501465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1111/tgis.70239","is_oa":false,"landing_page_url":"https://doi.org/10.1111/tgis.70239","pdf_url":null,"source":{"id":"https://openalex.org/S859791518","display_name":"Transactions in GIS","issn_l":"1361-1682","issn":["1361-1682","1467-9671"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions in GIS","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7640751600265503,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W631895740","https://openalex.org/W2022275615","https://openalex.org/W2050263501","https://openalex.org/W2051688880","https://openalex.org/W2054696747","https://openalex.org/W2073747128","https://openalex.org/W2125215748","https://openalex.org/W2134742852","https://openalex.org/W2316116804","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2751293097","https://openalex.org/W2885655058","https://openalex.org/W2923828605","https://openalex.org/W2948019632","https://openalex.org/W2966776611","https://openalex.org/W3002087269","https://openalex.org/W3028920752","https://openalex.org/W3035063659","https://openalex.org/W3044741322","https://openalex.org/W3109637974","https://openalex.org/W3137386048","https://openalex.org/W3177587747","https://openalex.org/W3196553050","https://openalex.org/W3205159774","https://openalex.org/W3208687067","https://openalex.org/W4207062688","https://openalex.org/W4210509679","https://openalex.org/W4213258165","https://openalex.org/W4213336961","https://openalex.org/W4280552281","https://openalex.org/W4318301901","https://openalex.org/W4320170266","https://openalex.org/W4386006888","https://openalex.org/W4401050212","https://openalex.org/W4407360322"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Quantifying":[1],"the":[2,21,57,67,91,122,137,145,158,183],"synergistic":[3],"effects":[4],"of":[5,125],"urban":[6,15,215],"environmental":[7,40,187,216],"features":[8],"remains":[9],"a":[10,45,99,113,140,161,176,196,210],"challenge":[11],"in":[12,38,129],"geocomputation":[13],"and":[14,26,89,150],"modeling.":[16],"Traditional":[17],"studies":[18],"often":[19],"treat":[20],"Green":[22],"View":[23,28,76,165],"Index":[24],"(GVI)":[25],"Sky":[27,164],"Factor":[29,166],"(SVF)":[30,167],"as":[31],"independent":[32],"variables,":[33],"overlooking":[34],"their":[35],"complex":[36],"interaction":[37],"determining":[39],"quality.":[41],"This":[42,193],"study":[43,194],"proposes":[44],"hybrid":[46],"computational":[47],"framework":[48],"coupling":[49],"semantic":[50,82],"segmentation":[51,101],"with":[52,205],"spatial":[53,86,123,151,207],"statistics":[54],"to":[55,79,120,154,169],"construct":[56],"Street":[58,75],"Environment":[59],"Composite":[60],"Metric":[61],"(SECM)":[62],"for":[63,103,143,199,213],"property":[64,191],"valuation.":[65],"Utilizing":[66],"DeepLabV3+":[68],"model,":[69],"we":[70,97],"processed":[71],"massive":[72],"unstructured":[73],"Baidu":[74],"(BSV)":[77],"imagery":[78],"extract":[80],"high\u2010precision":[81],"features.":[83],"To":[84],"enhance":[85],"modeling":[87],"granularity":[88],"mitigate":[90],"Modifiable":[92],"Areal":[93],"Unit":[94],"Problem":[95],"(MAUP),":[96],"implemented":[98],"fine\u2010grained":[100],"algorithm":[102],"street":[104],"vectors.":[105],"These":[106],"computed":[107],"metrics":[108],"were":[109],"then":[110],"integrated":[111],"into":[112],"Multiscale":[114],"Geographically":[115],"Weighted":[116],"Regression":[117],"(MGWR)":[118],"model":[119],"reveal":[121],"non\u2010stationarity":[124],"housing":[126],"price":[127],"determinants":[128],"Shanghai's":[130],"Xuhui":[131],"District.":[132],"Computational":[133],"results":[134],"demonstrate":[135],"that":[136,189],"SECM":[138,184],"provides":[139],"superior":[141],"fit":[142],"capturing":[144],"non\u2010linear":[146],"interactions":[147],"between":[148],"greenery":[149],"openness":[152],"compared":[153],"single\u2010variable":[155],"models.":[156],"Specifically,":[157],"analysis":[159],"reveals":[160],"threshold":[162],"effect:":[163],"contributes":[168],"economic":[170],"value":[171],"only":[172],"when":[173],"supported":[174],"by":[175],"sufficient":[177],"ecological":[178],"foundation.":[179],"In":[180],"low\u2010GVI":[181],"zones,":[182],"effectively":[185],"identifies":[186],"deficits":[188],"suppress":[190],"values.":[192],"presents":[195],"reproducible":[197],"workflow":[198],"integrating":[200],"deep":[201],"learning\u2010based":[202],"feature":[203],"extraction":[204],"advanced":[206],"econometrics,":[208],"offering":[209],"robust":[211],"tool":[212],"fine\u2010scale":[214],"assessment.":[217]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-24T00:00:00"}
