{"id":"https://openalex.org/W3203265075","doi":"https://doi.org/10.3390/ijgi10100639","title":"Exploring Complementary Models Consisting of Machine Learning Algorithms for Landslide Susceptibility Mapping","display_name":"Exploring Complementary Models Consisting of Machine Learning Algorithms for Landslide Susceptibility Mapping","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3203265075","doi":"https://doi.org/10.3390/ijgi10100639","mag":"3203265075"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi10100639","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10100639","pdf_url":"https://www.mdpi.com/2220-9964/10/10/639/pdf?version=1634636474","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/10/10/639/pdf?version=1634636474","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020194895","display_name":"Han Hu","orcid":"https://orcid.org/0000-0001-7532-0496"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Hu","raw_affiliation_strings":["College of Construction Engineering, Jilin University, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"College of Construction Engineering, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767546","display_name":"Changming Wang","orcid":"https://orcid.org/0000-0002-9143-225X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changming Wang","raw_affiliation_strings":["College of Construction Engineering, Jilin University, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"College of Construction Engineering, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021963978","display_name":"Liang Zhu","orcid":"https://orcid.org/0000-0002-6766-4544"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Liang","raw_affiliation_strings":["College of Construction Engineering, Jilin University, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"College of Construction Engineering, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090720546","display_name":"Ruiyuan Gao","orcid":"https://orcid.org/0000-0001-6605-4122"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiyuan Gao","raw_affiliation_strings":["College of Construction Engineering, Jilin University, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"College of Construction Engineering, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082870729","display_name":"Bailong Li","orcid":"https://orcid.org/0000-0002-9094-0076"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bailong Li","raw_affiliation_strings":["College of Construction Engineering, Jilin University, Changchun 130012, China"],"affiliations":[{"raw_affiliation_string":"College of Construction Engineering, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100767546"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.4133,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86759737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"10","issue":"10","first_page":"639","last_page":"639"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":1.0,"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"}},{"id":"https://openalex.org/T12729","display_name":"Tree Root and Stability Studies","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9775000214576721,"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/landslide","display_name":"Landslide","score":0.8536545038223267},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6068213582038879},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5682796239852905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5563701391220093},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5524583458900452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5167595744132996},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.49571311473846436},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.45626378059387207},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4535374343395233},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3535415530204773},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3385523557662964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31689566373825073},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1320166289806366},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10110709071159363},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.07371914386749268}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.8536545038223267},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6068213582038879},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5682796239852905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5563701391220093},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5524583458900452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5167595744132996},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49571311473846436},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.45626378059387207},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4535374343395233},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3535415530204773},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3385523557662964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31689566373825073},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1320166289806366},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10110709071159363},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.07371914386749268},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi10100639","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10100639","pdf_url":"https://www.mdpi.com/2220-9964/10/10/639/pdf?version=1634636474","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1a67f2e9cf574ae1be0aef73c9e47a54","is_oa":true,"landing_page_url":"https://doaj.org/article/1a67f2e9cf574ae1be0aef73c9e47a54","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 10, Iss 10, p 639 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/10/10/639/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi10100639","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information; Volume 10; Issue 10; Pages: 639","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi10100639","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10100639","pdf_url":"https://www.mdpi.com/2220-9964/10/10/639/pdf?version=1634636474","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5184735972","display_name":null,"funder_award_id":"41977221","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5535689415","display_name":null,"funder_award_id":"4157225","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6489625438","display_name":null,"funder_award_id":"41972267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7285803330","display_name":null,"funder_award_id":"Grant No. 41972267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7576393387","display_name":null,"funder_award_id":"41572257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3203265075.pdf","grobid_xml":"https://content.openalex.org/works/W3203265075.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W305262468","https://openalex.org/W1528099559","https://openalex.org/W1851777883","https://openalex.org/W1978831758","https://openalex.org/W1979408254","https://openalex.org/W1988650824","https://openalex.org/W1989315227","https://openalex.org/W1992024796","https://openalex.org/W2019957091","https://openalex.org/W2031841681","https://openalex.org/W2042951326","https://openalex.org/W2075457275","https://openalex.org/W2083202425","https://openalex.org/W2084915749","https://openalex.org/W2113076747","https://openalex.org/W2121438079","https://openalex.org/W2191761327","https://openalex.org/W2258231419","https://openalex.org/W2355835552","https://openalex.org/W2487770199","https://openalex.org/W2579180916","https://openalex.org/W2611197748","https://openalex.org/W2751058419","https://openalex.org/W2789555074","https://openalex.org/W2790845822","https://openalex.org/W2791665776","https://openalex.org/W2793831793","https://openalex.org/W2808860853","https://openalex.org/W2905708141","https://openalex.org/W2906318472","https://openalex.org/W2911964244","https://openalex.org/W2915483120","https://openalex.org/W2921124223","https://openalex.org/W2943844914","https://openalex.org/W2962224590","https://openalex.org/W2971060441","https://openalex.org/W2979371817","https://openalex.org/W2981581709","https://openalex.org/W2996089053","https://openalex.org/W3003699497","https://openalex.org/W3004202498","https://openalex.org/W3004932743","https://openalex.org/W3005068726","https://openalex.org/W3006583570","https://openalex.org/W3012555526","https://openalex.org/W3032913569","https://openalex.org/W3034541266","https://openalex.org/W3038187968","https://openalex.org/W3038206524","https://openalex.org/W3045687474","https://openalex.org/W3048684152","https://openalex.org/W3091919938","https://openalex.org/W3110345594","https://openalex.org/W3152092910","https://openalex.org/W3155902738","https://openalex.org/W3162382803","https://openalex.org/W3167268177","https://openalex.org/W3174484640","https://openalex.org/W3174896379","https://openalex.org/W3176033934","https://openalex.org/W4299689471","https://openalex.org/W6647557452"],"related_works":["https://openalex.org/W2389676928","https://openalex.org/W3169474304","https://openalex.org/W2369104181","https://openalex.org/W3201652628","https://openalex.org/W4212972401","https://openalex.org/W2389287188","https://openalex.org/W3081499580","https://openalex.org/W2615020820","https://openalex.org/W3106883776","https://openalex.org/W2950100253"],"abstract_inverted_index":{"Landslides":[0,9],"frequently":[1],"occur":[2],"because":[3],"of":[4,37,57,63,219,222,225,229,242,245,248,252,282],"natural":[5],"or":[6],"human":[7,19],"factors.":[8],"cause":[10],"huge":[11],"losses":[12],"to":[13,73,91,110,128,176,300],"the":[14,24,35,80,84,179,196,205,212,216,232,236,259,271],"economy":[15],"as":[16,18],"well":[17,107],"beings":[20],"every":[21],"year":[22],"around":[23],"globe.":[25],"Landslide":[26],"susceptibility":[27],"prediction":[28,58,111],"(LSP)":[29],"plays":[30],"a":[31,60,154],"key":[32],"role":[33],"in":[34,55,78,96,153,268],"prevention":[36],"landslides":[38,162],"and":[39,101,113,122,144,151,163,183,202,227,250,262,270,288,297,307],"has":[40],"been":[41],"under":[42,215],"investigation":[43],"for":[44,83,169,294],"years.":[45],"Although":[46],"new":[47],"machine":[48],"learning":[49,103],"algorithms":[50],"have":[51],"achieved":[52,204],"excellent":[53],"performance":[54,180,207,272],"terms":[56],"accuracy,":[59],"sufficient":[61],"quantity":[62],"training":[64],"samples":[65,77],"is":[66,71],"essential.":[67],"In":[68],"contrast,":[69],"it":[70],"hard":[72],"obtain":[74],"enough":[75],"landslide":[76],"most":[79],"areas,":[81],"especially":[82],"county-level":[85],"area.":[86,156],"The":[87,192,280],"present":[88],"study":[89],"aims":[90],"explore":[92],"an":[93,158,239],"optimization":[94],"model":[95,150,198,234],"conjunction":[97],"with":[98,108,136,141,148,160,211,238],"conventional":[99],"unsupervised":[100],"supervised":[102],"methods,":[104],"which":[105],"performs":[106],"respect":[109],"accuracy":[112,221,244],"comprehensibility.":[114],"Logistic":[115],"regression":[116],"(LR),":[117],"fuzzy":[118],"c-means":[119],"clustering":[120],"(FCM)":[121],"factor":[123],"analysis":[124],"(FA)":[125],"were":[126,174],"combined":[127],"establish":[129],"four":[130,172],"models:":[131],"LR":[132,137,142,149,203,233],"model,":[133,138,143],"FCM":[134],"coupled":[135,140,147,197],"FA":[139,146,201],"FCM,":[145,200],"applied":[152,175],"specific":[155],"Firstly,":[157],"inventory":[159],"114":[161],"10":[164],"conditioning":[165],"factors":[166],"was":[167,181,255],"prepared":[168],"modeling.":[170],"Subsequently,":[171],"models":[173,210,283],"LSP.":[177],"Finally,":[178],"evaluated":[182],"compared":[184],"by":[185,199,276,304],"k-fold":[186],"cross-validation":[187],"based":[188],"on":[189],"statistical":[190],"measures.":[191],"results":[193],"showed":[194],"that":[195,257],"greatest":[206],"among":[208],"these":[209],"AUC":[213,240],"(Area":[214],"curve)":[217],"value":[218,241],"0.827,":[220],"85.25%,":[223],"sensitivity":[224,247],"74.96%":[226],"specificity":[228,251],"86.21%.":[230],"While":[231],"performed":[235],"worst":[237],"0.736,":[243],"77%,":[246],"62.52%":[249],"72.55%.":[253],"It":[254],"concluded":[256],"both":[258],"dimension":[260],"reduction":[261],"sample":[263],"size":[264],"should":[265,284],"be":[266,274,285],"considered":[267],"modeling,":[269],"can":[273],"enhanced":[275],"combining":[277],"complementary":[278],"methods.":[279],"combination":[281],"more":[286],"flexible":[287],"purposeful.":[289],"This":[290],"work":[291],"provides":[292],"reference":[293],"related":[295],"research":[296],"better":[298],"guidance":[299],"engineering":[301],"activities,":[302],"decision-making":[303],"local":[305],"administrations":[306],"land":[308],"use":[309],"planning.":[310]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2021-10-11T00:00:00"}
