{"id":"https://openalex.org/W4407727224","doi":"https://doi.org/10.1080/17538947.2025.2468414","title":"Lightweighting the prediction process of urban states with parameter sharing and dilated operations","display_name":"Lightweighting the prediction process of urban states with parameter sharing and dilated operations","publication_year":2025,"publication_date":"2025-02-19","ids":{"openalex":"https://openalex.org/W4407727224","doi":"https://doi.org/10.1080/17538947.2025.2468414"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2025.2468414","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2468414","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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 Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/17538947.2025.2468414","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059794331","display_name":"Peixiao Wang","orcid":"https://orcid.org/0000-0002-1209-6340"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peixiao Wang","raw_affiliation_strings":["Institute of Geographic Sciences and Natural Resources Research, CAS","University of Chinese Academy of Sciences"],"raw_orcid":"https://orcid.org/0000-0002-1209-6340","affiliations":[{"raw_affiliation_string":"Institute of Geographic Sciences and Natural Resources Research, CAS","institution_ids":["https://openalex.org/I4210160793"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113020945","display_name":"Haolong Yang","orcid":"https://orcid.org/0009-0001-9775-8285"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Haolong Yang","raw_affiliation_strings":["Concordia University"],"raw_orcid":"https://orcid.org/0009-0001-9775-8285","affiliations":[{"raw_affiliation_string":"Concordia University","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063266019","display_name":"Hengcai Zhang","orcid":"https://orcid.org/0000-0002-5004-9609"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hengcai Zhang","raw_affiliation_strings":["Institute of Geographic Sciences and Natural Resources Research, CAS","University of Chinese Academy of Sciences"],"raw_orcid":"https://orcid.org/0000-0002-5004-9609","affiliations":[{"raw_affiliation_string":"Institute of Geographic Sciences and Natural Resources Research, CAS","institution_ids":["https://openalex.org/I4210160793"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036257989","display_name":"Shifen Cheng","orcid":"https://orcid.org/0000-0002-9553-8318"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifen Cheng","raw_affiliation_strings":["Institute of Geographic Sciences and Natural Resources Research, CAS","University of Chinese Academy of Sciences"],"raw_orcid":"https://orcid.org/0000-0002-9553-8318","affiliations":[{"raw_affiliation_string":"Institute of Geographic Sciences and Natural Resources Research, CAS","institution_ids":["https://openalex.org/I4210160793"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101480749","display_name":"Feng Lu","orcid":"https://orcid.org/0000-0001-6573-2550"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Lu","raw_affiliation_strings":["Institute of Geographic Sciences and Natural Resources Research, CAS","University of Chinese Academy of Sciences"],"raw_orcid":"https://orcid.org/0000-0001-6573-2550","affiliations":[{"raw_affiliation_string":"Institute of Geographic Sciences and Natural Resources Research, CAS","institution_ids":["https://openalex.org/I4210160793"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086235539","display_name":"Zeqiang Chen","orcid":"https://orcid.org/0000-0001-6624-6693"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeqiang Chen","raw_affiliation_strings":["China University of Geosciences"],"raw_orcid":"https://orcid.org/0000-0001-6624-6693","affiliations":[{"raw_affiliation_string":"China University of Geosciences","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063266019"],"corresponding_institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I4210165038"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":0.6148,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63063081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"18","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6355125308036804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.483039915561676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3879115581512451},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.33939582109451294},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3238374590873718}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6355125308036804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.483039915561676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3879115581512451},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.33939582109451294},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3238374590873718},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17538947.2025.2468414","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2468414","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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 Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:70ea24b56b6e4e1db4f4f04afdf6d7fa","is_oa":true,"landing_page_url":"https://doaj.org/article/70ea24b56b6e4e1db4f4f04afdf6d7fa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Digital Earth, Vol 18, Iss 1 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2025.2468414","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2468414","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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 Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3107574807","display_name":null,"funder_award_id":"42371469","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5281352539","display_name":null,"funder_award_id":"42401524","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6370003980","display_name":null,"funder_award_id":"42371470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G801041051","display_name":null,"funder_award_id":"2023M743454","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8902274339","display_name":null,"funder_award_id":"2021YFB3900803","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1789808336","https://openalex.org/W1924770834","https://openalex.org/W2075407851","https://openalex.org/W2519887557","https://openalex.org/W2625614184","https://openalex.org/W2756203131","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2945769134","https://openalex.org/W2974087501","https://openalex.org/W2980537499","https://openalex.org/W3000301417","https://openalex.org/W3000386982","https://openalex.org/W3006452720","https://openalex.org/W3012295089","https://openalex.org/W3045004532","https://openalex.org/W3103720336","https://openalex.org/W3124196789","https://openalex.org/W3130738952","https://openalex.org/W3170140111","https://openalex.org/W3175286348","https://openalex.org/W3206034855","https://openalex.org/W4210789062","https://openalex.org/W4214692098","https://openalex.org/W4280599789","https://openalex.org/W4297826903","https://openalex.org/W4309623216","https://openalex.org/W4309930295","https://openalex.org/W4313306153","https://openalex.org/W4322102230","https://openalex.org/W4382318973","https://openalex.org/W4383197616","https://openalex.org/W4385296393","https://openalex.org/W4386076121","https://openalex.org/W4386248480","https://openalex.org/W4387457536","https://openalex.org/W4387641291","https://openalex.org/W4387767193","https://openalex.org/W4388478755","https://openalex.org/W4389334793","https://openalex.org/W4389485704","https://openalex.org/W4391476163","https://openalex.org/W4392529454","https://openalex.org/W4399247290","https://openalex.org/W4399360714","https://openalex.org/W4401192568","https://openalex.org/W4405244793","https://openalex.org/W4405287366"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Lightweight":[0],"and":[1,50,81,92,108,121,151],"high-precision":[2],"prediction":[3,32,141],"models":[4],"for":[5,20],"urban":[6],"states":[7],"are":[8],"anticipated":[9],"to":[10,40,67,79],"run":[11],"efficiently":[12,80],"on":[13],"resource-limited":[14],"devices,":[15],"serving":[16],"as":[17],"key":[18],"technologies":[19],"realizing":[21],"smart":[22],"city":[23],"management.":[24],"However,":[25],"many":[26],"existing":[27],"models,":[28],"despite":[29],"achieving":[30,147],"high":[31],"precision,":[33],"suffer":[34],"from":[35],"overly":[36],"complex":[37],"designs,":[38],"leading":[39],"low":[41],"computational":[42],"efficiency,":[43],"a":[44,60],"large":[45],"number":[46,107],"of":[47,94,143],"learnable":[48,95,154],"parameters,":[49],"difficulty":[51],"in":[52],"hyper-parameter":[53],"calibration.":[54,133],"In":[55],"this":[56],"study,":[57],"we":[58,72,98],"present":[59],"lightweight":[61],"parameter-shared":[62,74],"dilated":[63,76],"convolutional":[64],"network":[65],"(PSDCN)":[66],"address":[68],"these":[69],"challenges.":[70],"Specifically,":[71],"define":[73],"temporal/graph":[75],"convolution":[77],"operators":[78],"accurately":[82],"capture":[83],"spatio-temporal":[84],"correlations":[85],"without":[86],"significantly":[87,104],"increasing":[88],"model's":[89],"computation":[90],"time":[91,149],"scale":[93],"parameters.":[96,155],"Furthermore,":[97],"establish":[99],"mathematical":[100],"relationships":[101],"between":[102],"hyperparameters,":[103],"reducing":[105],"their":[106],"simplifying":[109],"the":[110,128,140],"calibration":[111],"process.":[112],"The":[113,124],"PSDCN":[114,129],"model":[115,130],"was":[116],"validated":[117],"using":[118],"PM2.5,":[119],"traffic,":[120],"temperature":[122],"datasets.":[123],"results":[125],"demonstrated":[126],"that":[127],"simplifies":[131],"hyperparameter":[132],"It":[134],"also":[135],"either":[136],"outperforms":[137],"or":[138],"matches":[139],"accuracy":[142],"nine":[144],"baselines,":[145],"while":[146],"better":[148],"efficiency":[150],"requiring":[152],"fewer":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}