{"id":"https://openalex.org/W2754895706","doi":"https://doi.org/10.1080/13658816.2017.1376065","title":"Simulating urban dynamics in China using a gradient cellular automata model based on S-shaped curve evolution characteristics","display_name":"Simulating urban dynamics in China using a gradient cellular automata model based on S-shaped curve evolution characteristics","publication_year":2017,"publication_date":"2017-09-13","ids":{"openalex":"https://openalex.org/W2754895706","doi":"https://doi.org/10.1080/13658816.2017.1376065","mag":"2754895706"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2017.1376065","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2017.1376065","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/A5120746624","display_name":"Xiaoping Liu","orcid":"https://orcid.org/0000-0003-4242-5392"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Liu","raw_affiliation_strings":["School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4242-5392","affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628938","display_name":"Guohua Hu","orcid":"https://orcid.org/0000-0001-8033-9378"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guohua Hu","raw_affiliation_strings":["School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8033-9378","affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058500883","display_name":"Bin Ai","orcid":"https://orcid.org/0000-0002-7157-8614"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Ai","raw_affiliation_strings":["School of Marine Science, Sun Yat-sen University, Guangzhou, P R China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science, Sun Yat-sen University, Guangzhou, P R China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445622","display_name":"Xia Li","orcid":"https://orcid.org/0000-0003-3050-8529"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Li","raw_affiliation_strings":["School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3050-8529","affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044991117","display_name":"Guangjin Tian","orcid":"https://orcid.org/0000-0003-3610-6627"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjin Tian","raw_affiliation_strings":["State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, P R China"],"raw_orcid":"https://orcid.org/0000-0003-3610-6627","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, P R China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001599513","display_name":"Yimin Chen","orcid":"https://orcid.org/0000-0003-1976-6041"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Chen","raw_affiliation_strings":["School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1976-6041","affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107873063","display_name":"Shaoying Li","orcid":"https://orcid.org/0000-0002-4703-5660"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoying Li","raw_affiliation_strings":["School of Geographical Sciences, Guangzhou University, Guangzhou, P R China"],"raw_orcid":"https://orcid.org/0000-0002-4703-5660","affiliations":[{"raw_affiliation_string":"School of Geographical Sciences, Guangzhou University, Guangzhou, P R China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100628938"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":3.29,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.92272106,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"32","issue":"1","first_page":"73","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9578999876976013,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9362999796867371,"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/cellular-automaton","display_name":"Cellular automaton","score":0.9403047561645508},{"id":"https://openalex.org/keywords/impervious-surface","display_name":"Impervious surface","score":0.8080457448959351},{"id":"https://openalex.org/keywords/urbanization","display_name":"Urbanization","score":0.7103785872459412},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.5604178309440613},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5201414227485657},{"id":"https://openalex.org/keywords/urban-expansion","display_name":"Urban expansion","score":0.4964500069618225},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4894603490829468},{"id":"https://openalex.org/keywords/grid-cell","display_name":"Grid cell","score":0.4887809455394745},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.46337834000587463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.439347505569458},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.39481785893440247},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3260136544704437},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3258097767829895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2652056813240051},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.261127769947052},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.25147247314453125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22646591067314148},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.11560219526290894},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11458060145378113},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10362651944160461}],"concepts":[{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.9403047561645508},{"id":"https://openalex.org/C2668921","wikidata":"https://www.wikidata.org/wiki/Q1434713","display_name":"Impervious surface","level":2,"score":0.8080457448959351},{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.7103785872459412},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.5604178309440613},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5201414227485657},{"id":"https://openalex.org/C2984674859","wikidata":"https://www.wikidata.org/wiki/Q192042","display_name":"Urban expansion","level":3,"score":0.4964500069618225},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4894603490829468},{"id":"https://openalex.org/C2983008078","wikidata":"https://www.wikidata.org/wiki/Q863495","display_name":"Grid cell","level":3,"score":0.4887809455394745},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.46337834000587463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.439347505569458},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.39481785893440247},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3260136544704437},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3258097767829895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2652056813240051},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.261127769947052},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.25147247314453125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22646591067314148},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.11560219526290894},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11458060145378113},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10362651944160461},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2017.1376065","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2017.1376065","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1698162802","display_name":null,"funder_award_id":"2015M580753","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4478308820","display_name":null,"funder_award_id":"41671398 and 61601522","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W181107242","https://openalex.org/W747777283","https://openalex.org/W1578453342","https://openalex.org/W1778754946","https://openalex.org/W1969223470","https://openalex.org/W1969466612","https://openalex.org/W1976845186","https://openalex.org/W1977726933","https://openalex.org/W1978608914","https://openalex.org/W1980469436","https://openalex.org/W1983078406","https://openalex.org/W1983564473","https://openalex.org/W1991995284","https://openalex.org/W1992589116","https://openalex.org/W1998131966","https://openalex.org/W1998564199","https://openalex.org/W2000887945","https://openalex.org/W2003804198","https://openalex.org/W2004805686","https://openalex.org/W2006021982","https://openalex.org/W2010524426","https://openalex.org/W2027676542","https://openalex.org/W2032568597","https://openalex.org/W2033176844","https://openalex.org/W2034906331","https://openalex.org/W2039963844","https://openalex.org/W2041221396","https://openalex.org/W2041588414","https://openalex.org/W2046092712","https://openalex.org/W2047752910","https://openalex.org/W2053782491","https://openalex.org/W2066131315","https://openalex.org/W2067206505","https://openalex.org/W2072545420","https://openalex.org/W2072665199","https://openalex.org/W2073177452","https://openalex.org/W2077444736","https://openalex.org/W2079859172","https://openalex.org/W2079966192","https://openalex.org/W2082375144","https://openalex.org/W2091415283","https://openalex.org/W2093193245","https://openalex.org/W2099908874","https://openalex.org/W2107300678","https://openalex.org/W2126325780","https://openalex.org/W2135617432","https://openalex.org/W2139109025","https://openalex.org/W2147406638","https://openalex.org/W2153820558","https://openalex.org/W2165577558","https://openalex.org/W2171730709","https://openalex.org/W2202474462","https://openalex.org/W2343243542","https://openalex.org/W2555639262","https://openalex.org/W2607525600","https://openalex.org/W2740555258","https://openalex.org/W2746500680","https://openalex.org/W4238306122","https://openalex.org/W4252278281"],"related_works":["https://openalex.org/W4386288289","https://openalex.org/W1978112581","https://openalex.org/W4206414959","https://openalex.org/W4383346259","https://openalex.org/W2186356874","https://openalex.org/W4205603439","https://openalex.org/W4206285282","https://openalex.org/W2922230163","https://openalex.org/W2123997922","https://openalex.org/W4255354662"],"abstract_inverted_index":{"Cellular":[0],"automata":[1],"(CA)":[2],"have":[3],"been":[4],"efficiently":[5],"used":[6,80],"to":[7,28,81,118,135,192],"express":[8],"the":[9,44,72,83,91,99,114,120,123,144,165,171],"complexity":[10],"and":[11,86,156,174,189],"dynamics":[12],"of":[13,48,90,101,122,152,177],"cities":[14],"at":[15,53],"different":[16,54],"scales.":[17],"However,":[18],"those":[19],"large-scale":[20],"simulation":[21,161],"models":[22],"typically":[23],"use":[24],"only":[25],"binary":[26,138],"values":[27],"represent":[29],"urbanization":[30,55,84],"states":[31,85],"without":[32],"considering":[33,68],"mixed":[34],"types":[35],"within":[36],"a":[37,60,127,136],"cell.":[38],"They":[39],"also":[40,133,187],"ignore":[41],"differences":[42,70],"among":[43,71],"cells":[45],"in":[46,150],"terms":[47,151],"their":[49],"temporal":[50,87,175],"evolution":[51,88],"characteristics":[52,176],"stages.":[56],"This":[57],"study":[58,116],"establishes":[59],"gradient":[61,124,145,166],"CA":[62,125,146,167],"for":[63,126,184,196],"solving":[64],"such":[65],"problems":[66],"while":[67],"development":[69,103],"cells.":[73,93],"The":[74,140,160],"impervious":[75],"surface":[76],"area":[77,117],"data":[78,195],"was":[79,111,132,186],"detect":[82],"trends":[89],"grid":[92],"Transition":[94],"rules":[95],"were":[96],"determined":[97],"with":[98],"incorporation":[100],"urban":[102,178,182],"theory":[104],"expressed":[105],"as":[106,113],"an":[107],"S-shaped":[108],"curve.":[109],"China":[110],"selected":[112],"case":[115],"validate":[119],"performance":[121],"national":[128,181],"simulation.":[129],"A":[130,180],"comparison":[131],"made":[134],"traditional":[137],"logistic-CA.":[139],"results":[141],"demonstrated":[142],"that":[143],"achieved":[147],"higher":[148],"accuracies":[149],"both":[153],"spatial":[154],"patterns":[155],"quantitative":[157],"assessment":[158],"indices.":[159],"pattern":[162],"derived":[163],"from":[164],"can":[168],"better":[169],"reflect":[170],"local":[172],"disparity":[173],"dynamics.":[179],"expansion":[183],"2050":[185],"simulated,":[188],"is":[190],"expected":[191],"provide":[193],"important":[194],"ecological":[197],"assessments.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
