{"id":"https://openalex.org/W2583431431","doi":"https://doi.org/10.1080/13658816.2017.1283505","title":"Modeling urban expansion by using variable weights logistic cellular automata: a case study of Nanjing, China","display_name":"Modeling urban expansion by using variable weights logistic cellular automata: a case study of Nanjing, China","publication_year":2017,"publication_date":"2017-01-31","ids":{"openalex":"https://openalex.org/W2583431431","doi":"https://doi.org/10.1080/13658816.2017.1283505","mag":"2583431431"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2017.1283505","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2017.1283505","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","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/A5067706630","display_name":"Bangrong Shu","orcid":"https://orcid.org/0000-0002-0014-3453"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bangrong Shu","raw_affiliation_strings":["School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069710922","display_name":"Martha Bakker","orcid":null},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Martha M. Bakker","raw_affiliation_strings":["Land Use Planning Group, Wageningen University, Wageningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Land Use Planning Group, Wageningen University, Wageningen, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629502","display_name":"Honghui Zhang","orcid":"https://orcid.org/0000-0001-8955-092X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghui Zhang","raw_affiliation_strings":["School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084350058","display_name":"Yongle Li","orcid":"https://orcid.org/0000-0001-9879-0626"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongle Li","raw_affiliation_strings":["College of Public Administration, Nanjing University of Finance & Economics, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Public Administration, Nanjing University of Finance & Economics, Nanjing, China","institution_ids":["https://openalex.org/I137056471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090377661","display_name":"Wei Qin","orcid":"https://orcid.org/0000-0002-0860-121X"},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Wei Qin","raw_affiliation_strings":["Department of Soil Quality, Wageningen UR, Wageningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Soil Quality, Wageningen UR, Wageningen, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024714114","display_name":"G.J. Carsjens","orcid":"https://orcid.org/0000-0001-8001-4645"},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gerrit J. Carsjens","raw_affiliation_strings":["Land Use Planning Group, Wageningen University, Wageningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Land Use Planning Group, Wageningen University, Wageningen, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067706630"],"corresponding_institution_ids":["https://openalex.org/I118574674"],"apc_list":null,"apc_paid":null,"fwci":4.1585,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.94141561,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"31","issue":"7","first_page":"1314","last_page":"1333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T12325","display_name":"Urban Design and Spatial Analysis","score":0.9922000169754028,"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/T10692","display_name":"Urban Green Space and Health","score":0.9480000138282776,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/cellular-automaton","display_name":"Cellular automaton","score":0.8123141527175903},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5864282250404358},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5440792441368103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45720914006233215},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.42776575684547424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2784563899040222},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14103609323501587},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12840455770492554}],"concepts":[{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.8123141527175903},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5864282250404358},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5440792441368103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45720914006233215},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.42776575684547424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2784563899040222},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14103609323501587},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12840455770492554},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/13658816.2017.1283505","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2017.1283505","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"},{"id":"pmh:wur:oai:library.wur.nl:wurpubs/514960","is_oa":false,"landing_page_url":"https://research.wur.nl/en/publications/modeling-urban-expansion-by-using-variable-weights-logistic-cellu","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Geographical Information Science, 31(7), 1314 - 1333","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3996141123","display_name":null,"funder_award_id":"No. 41201386","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G533400882","display_name":null,"funder_award_id":"No. 41101546","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5806458072","display_name":null,"funder_award_id":"No. 41401627","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8774020685","display_name":null,"funder_award_id":"No. 71503117","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":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W183089955","https://openalex.org/W326635671","https://openalex.org/W947602937","https://openalex.org/W1482289351","https://openalex.org/W1964799570","https://openalex.org/W1965777797","https://openalex.org/W1967192517","https://openalex.org/W1979248264","https://openalex.org/W1982490549","https://openalex.org/W1986426309","https://openalex.org/W1987388105","https://openalex.org/W1998131966","https://openalex.org/W1999693570","https://openalex.org/W1999829841","https://openalex.org/W2002719151","https://openalex.org/W2008091633","https://openalex.org/W2010524426","https://openalex.org/W2023433987","https://openalex.org/W2025924400","https://openalex.org/W2027676542","https://openalex.org/W2032568597","https://openalex.org/W2042289381","https://openalex.org/W2054130696","https://openalex.org/W2056887895","https://openalex.org/W2061699609","https://openalex.org/W2063143131","https://openalex.org/W2067117278","https://openalex.org/W2072545420","https://openalex.org/W2077444736","https://openalex.org/W2082291024","https://openalex.org/W2083710127","https://openalex.org/W2084411125","https://openalex.org/W2091463346","https://openalex.org/W2091720785","https://openalex.org/W2091721652","https://openalex.org/W2095926105","https://openalex.org/W2099054202","https://openalex.org/W2120000166","https://openalex.org/W2130509491","https://openalex.org/W2130621597","https://openalex.org/W2151689871","https://openalex.org/W2156484217","https://openalex.org/W2165713677","https://openalex.org/W2165780759","https://openalex.org/W2168034567","https://openalex.org/W2171730709","https://openalex.org/W2288294253","https://openalex.org/W2343243542","https://openalex.org/W2346035507","https://openalex.org/W2391039588","https://openalex.org/W3125633930","https://openalex.org/W4245539475","https://openalex.org/W4289258614"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2164619678","https://openalex.org/W1669105318","https://openalex.org/W2113544496","https://openalex.org/W2360313292","https://openalex.org/W9202957","https://openalex.org/W2067777412","https://openalex.org/W2359527201","https://openalex.org/W2353714615","https://openalex.org/W3091867061"],"abstract_inverted_index":{"Simulation":[0],"models":[1,32,106,178],"based":[2,75],"on":[3,76],"cellular":[4],"automata":[5],"(CA)":[6],"are":[7,74,180],"widely":[8],"used":[9,97],"for":[10,111,117,154],"understanding":[11],"and":[12,90,115,140,150,164],"simulating":[13],"complex":[14],"urban":[15,100,148],"expansion":[16,101],"process.":[17],"Among":[18],"these":[19],"models,":[20],"logistic":[21,43],"CA":[22],"(LCA)":[23],"is":[24,33],"commonly":[25],"adopted.":[26],"However,":[27],"the":[28,37,48,91,112,118,125,131,155],"performance":[29],"of":[30,51,136,147,152,158],"LCA":[31,60,93,132,177],"often":[34],"limited":[35],"because":[36],"fixed":[38],"coefficients":[39,69],"obtained":[40],"from":[41],"binary":[42],"regression":[44,68],"do":[45],"not":[46],"reflect":[47],"spatiotemporal":[49],"heterogeneity":[50],"transition":[52,65],"rules.":[53,66],"Therefore,":[54],"we":[55],"propose":[56],"a":[57,80,84],"variable":[58],"weights":[59],"(VW-LCA)":[61],"model":[62,73,89,94,127,133,169],"with":[63,109,174],"dynamic":[64],"The":[67,87,105,121,167],"in":[70,83,102,134,182],"this":[71],"VW-LCA":[72,88,126,168],"VW":[77],"by":[78,161],"incorporating":[79],"genetic":[81],"algorithm":[82],"conventional":[85,92],"LCA.":[86],"were":[95,107],"both":[96,137],"to":[98],"simulate":[99],"Nanjing,":[103],"China.":[104],"calibrated":[108],"data":[110],"period":[113,119],"2000\u20132007":[114],"validated":[116],"2007\u20132013.":[120],"results":[122,157],"showed":[123],"that":[124,179],"performed":[128],"better":[129,172],"than":[130],"terms":[135],"visual":[138],"inspection":[139],"key":[141],"indicators.":[142],"For":[143],"example,":[144],"kappa,":[145],"accuracy":[146],"land":[149],"figure":[151],"merit":[153],"simulation":[156],"2013":[159],"increased":[160],"3.26%,":[162],"2.96%":[163],"4.44%,":[165],"respectively.":[166],"performs":[170],"relatively":[171],"compared":[173],"other":[175],"improved":[176],"suggested":[181],"literature.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}