{"id":"https://openalex.org/W3037362457","doi":"https://doi.org/10.1109/tits.2020.3001193","title":"A Spatial Heterogeneity-Based Segmentation Model for Analyzing Road Deterioration Network Data in Multi-Scale Infrastructure Systems","display_name":"A Spatial Heterogeneity-Based Segmentation Model for Analyzing Road Deterioration Network Data in Multi-Scale Infrastructure Systems","publication_year":2020,"publication_date":"2020-06-23","ids":{"openalex":"https://openalex.org/W3037362457","doi":"https://doi.org/10.1109/tits.2020.3001193","mag":"3037362457"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.3001193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3001193","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","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/A5065865699","display_name":"Yongze Song","orcid":"https://orcid.org/0000-0003-3420-9622"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yongze Song","raw_affiliation_strings":["School of Design and the Built Environment, Curtin University, Perth, WA, Australia"],"affiliations":[{"raw_affiliation_string":"School of Design and the Built Environment, Curtin University, Perth, WA, Australia","institution_ids":["https://openalex.org/I205640436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081602382","display_name":"Peng Wu","orcid":"https://orcid.org/0000-0002-3793-0653"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peng Wu","raw_affiliation_strings":["Department of Construction Management, School of Design and the Built Environment, Curtin University, Perth, WA, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Construction Management, School of Design and the Built Environment, Curtin University, Perth, WA, Australia","institution_ids":["https://openalex.org/I205640436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010752963","display_name":"Daniel Gilmore","orcid":null},"institutions":[{"id":"https://openalex.org/I2799354074","display_name":"Main Roads Western Australia","ror":"https://ror.org/01b98w967","country_code":"AU","type":"government","lineage":["https://openalex.org/I2799354074","https://openalex.org/I2799506148"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Daniel Gilmore","raw_affiliation_strings":["Head Office - Don Aitken Centre, Main Roads Western Australia, Perth, WA, Australia"],"affiliations":[{"raw_affiliation_string":"Head Office - Don Aitken Centre, Main Roads Western Australia, Perth, WA, Australia","institution_ids":["https://openalex.org/I2799354074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060990316","display_name":"Qindong Li","orcid":"https://orcid.org/0000-0003-0976-9759"},"institutions":[{"id":"https://openalex.org/I2799354074","display_name":"Main Roads Western Australia","ror":"https://ror.org/01b98w967","country_code":"AU","type":"government","lineage":["https://openalex.org/I2799354074","https://openalex.org/I2799506148"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qindong Li","raw_affiliation_strings":["Head Office - Don Aitken Centre, Main Roads Western Australia, Perth, WA, Australia"],"affiliations":[{"raw_affiliation_string":"Head Office - Don Aitken Centre, Main Roads Western Australia, Perth, WA, Australia","institution_ids":["https://openalex.org/I2799354074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065865699"],"corresponding_institution_ids":["https://openalex.org/I205640436"],"apc_list":null,"apc_paid":null,"fwci":2.325,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.8702718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"11","first_page":"7073","last_page":"7083"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6612633466720581},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5901899933815002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5546956658363342},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4701507091522217},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.46556878089904785},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4256329834461212},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.39656031131744385},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3289576768875122},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23000037670135498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21850842237472534},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17322194576263428},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16201984882354736},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.14817199110984802},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.11007052659988403}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6612633466720581},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5901899933815002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5546956658363342},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4701507091522217},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.46556878089904785},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4256329834461212},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.39656031131744385},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3289576768875122},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23000037670135498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21850842237472534},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17322194576263428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16201984882354736},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.14817199110984802},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.11007052659988403}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2020.3001193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3001193","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},{"id":"pmh:oai:espace.curtin.edu.au:20.500.11937/82713","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11937/82713","pdf_url":null,"source":{"id":"https://openalex.org/S4306401790","display_name":"eSpace (Curtin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205640436","host_organization_name":"Curtin University","host_organization_lineage":["https://openalex.org/I205640436"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6100000143051147,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1668967196","display_name":null,"funder_award_id":"DP180104026","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1972752879","https://openalex.org/W1973475129","https://openalex.org/W1999805372","https://openalex.org/W2007873570","https://openalex.org/W2014530124","https://openalex.org/W2035192343","https://openalex.org/W2036569611","https://openalex.org/W2042804760","https://openalex.org/W2044858177","https://openalex.org/W2054010646","https://openalex.org/W2059072066","https://openalex.org/W2072861066","https://openalex.org/W2074994267","https://openalex.org/W2085149764","https://openalex.org/W2091540466","https://openalex.org/W2093198015","https://openalex.org/W2096023094","https://openalex.org/W2105554350","https://openalex.org/W2109063361","https://openalex.org/W2126167415","https://openalex.org/W2133251833","https://openalex.org/W2153482990","https://openalex.org/W2159628505","https://openalex.org/W2163283323","https://openalex.org/W2165170741","https://openalex.org/W2171417523","https://openalex.org/W2218762953","https://openalex.org/W2315744587","https://openalex.org/W2318494363","https://openalex.org/W2328195514","https://openalex.org/W2470376432","https://openalex.org/W2611665098","https://openalex.org/W2613327815","https://openalex.org/W2623768474","https://openalex.org/W2791841014","https://openalex.org/W2792712435","https://openalex.org/W2800621064","https://openalex.org/W2804528990","https://openalex.org/W2886401616","https://openalex.org/W2887997486","https://openalex.org/W2888496297","https://openalex.org/W2898586047","https://openalex.org/W2901478763","https://openalex.org/W2905704775","https://openalex.org/W2906115311","https://openalex.org/W2909978560","https://openalex.org/W2912427360","https://openalex.org/W2918169425","https://openalex.org/W2946721559","https://openalex.org/W2947253263","https://openalex.org/W3021353408","https://openalex.org/W3024110832","https://openalex.org/W3102941875","https://openalex.org/W4253686574","https://openalex.org/W4299300834","https://openalex.org/W6653881643","https://openalex.org/W6754031508"],"related_works":["https://openalex.org/W1999392235","https://openalex.org/W2075537321","https://openalex.org/W2055668825","https://openalex.org/W2059493168","https://openalex.org/W2371593620","https://openalex.org/W2156037511","https://openalex.org/W2572678357","https://openalex.org/W2019481703","https://openalex.org/W2024930283","https://openalex.org/W1568996612"],"abstract_inverted_index":{"Road":[0],"network":[1,56,79,131,189],"conditions":[2],"and":[3,39,86,90,100,118,151,176,191],"road":[4,21,26,50,54,75,130],"quality":[5],"are":[6,44,162],"directly":[7],"linked":[8],"with":[9,126,168],"the":[10,59,78,97,138,156,159,184],"performance":[11,28,52],"of":[12,20,82,186],"an":[13,102],"entire":[14],"infrastructure":[15,27,51,92,194],"system.":[16],"As":[17],"sensor":[18,83,187],"monitoring":[19,84,188],"deteriorations":[22],"has":[23],"rapidly":[24],"increased,":[25],"can":[29,141,181],"now":[30],"be":[31],"assessed":[32],"using":[33,53],"multiple":[34],"measures.":[35],"However,":[36],"more":[37,163],"effective":[38],"accurate":[40],"quantitative":[41],"analysis":[42],"methods":[43],"increasingly":[45],"required.":[46],"This":[47],"research":[48,180],"explores":[49],"deterioration":[55],"data":[57,190],"in":[58,80],"Mid":[60],"West":[61],"Gascoyne":[62],"region,":[63],"Australia.":[64],"A":[65],"spatial":[66],"heterogeneity-based":[67],"segmentation":[68,132],"(SHS)":[69],"model":[70,98,123,140,175],"is":[71,105,124],"developed":[72,174],"for":[73,87],"redefining":[74],"segments":[76,144,150,154],"across":[77,155],"terms":[81],"data,":[85],"both":[88],"project-level":[89],"network-level":[91],"systems":[93,195],"management.":[94,196],"To":[95],"evaluate":[96],"effectiveness":[99],"accuracy,":[101],"evaluation":[103],"system":[104],"proposed":[106],"from":[107,170,178],"four":[108],"aspects:":[109],"segment":[110,119,160],"number,":[111],"homogeneity":[112,148],"within":[113,149],"segments,":[114,117],"heterogeneity":[115,152],"among":[116,153],"morphology.":[120],"The":[121,134,173],"SHS":[122,139],"compared":[125,167],"two":[127],"widely":[128],"used":[129],"methods.":[133,172],"results":[135,169],"show":[136],"that":[137],"use":[142],"fewer":[143],"to":[145],"ensure":[146],"higher":[147],"network.":[157],"Meanwhile,":[158],"lengths":[161],"uniformly":[164],"distributed":[165],"as":[166],"other":[171],"findings":[177],"this":[179],"significantly":[182],"improve":[183],"utilization":[185],"support":[192],"multi-scale":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
