{"id":"https://openalex.org/W4280640982","doi":"https://doi.org/10.3390/rs14102376","title":"Optimization Framework for Spatiotemporal Analysis Units Based on Floating Car Data","display_name":"Optimization Framework for Spatiotemporal Analysis Units Based on Floating Car Data","publication_year":2022,"publication_date":"2022-05-14","ids":{"openalex":"https://openalex.org/W4280640982","doi":"https://doi.org/10.3390/rs14102376"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14102376","pdf_url":"https://www.mdpi.com/2072-4292/14/10/2376/pdf?version=1652533899","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/10/2376/pdf?version=1652533899","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078656406","display_name":"Haifu Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haifu Cui","raw_affiliation_strings":["School of Geosciences, Yangtze University, Wuhan 430100, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences, Yangtze University, Wuhan 430100, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077633483","display_name":"Liang Wu","orcid":"https://orcid.org/0000-0002-1304-6353"},"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":"Liang Wu","raw_affiliation_strings":["National Engineering Research Center of Geographic Information System, Wuhan 430074, China","School of Computer Science, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"National Engineering Research Center of Geographic Information System, Wuhan 430074, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070001044","display_name":"Zhenming He","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenming He","raw_affiliation_strings":["School of Geosciences, Yangtze University, Wuhan 430100, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences, Yangtze University, Wuhan 430100, China","institution_ids":["https://openalex.org/I177739611"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078656406"],"corresponding_institution_ids":["https://openalex.org/I177739611"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707,"provenance":"doaj"},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707,"provenance":"doaj"},"fwci":0.414,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":2,"citation_normalized_percentile":{"value":0.474361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":70,"max":76},"biblio":{"volume":"14","issue":"10","first_page":"2376","last_page":"2376"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9982,"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"}},"topics":[{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9982,"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":0.9977,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9968,"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":[],"concepts":[{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.6908196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6620174},{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.6050495},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.53738564},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.4403797},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43722385},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.42884088},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22277921},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.19155177},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17734358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16798851}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14102376","pdf_url":"https://www.mdpi.com/2072-4292/14/10/2376/pdf?version=1652533899","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14102376","pdf_url":"https://www.mdpi.com/2072-4292/14/10/2376/pdf?version=1652533899","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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},"sustainable_development_goals":[{"score":0.82,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":36,"referenced_works":["https://openalex.org/W1967137980","https://openalex.org/W1977582457","https://openalex.org/W1978187446","https://openalex.org/W1987198424","https://openalex.org/W1990444226","https://openalex.org/W1994912512","https://openalex.org/W1996250882","https://openalex.org/W2004934538","https://openalex.org/W2026169687","https://openalex.org/W2034906331","https://openalex.org/W2046240027","https://openalex.org/W2062352770","https://openalex.org/W2067344376","https://openalex.org/W2084439171","https://openalex.org/W2124715382","https://openalex.org/W2131586477","https://openalex.org/W2140251882","https://openalex.org/W2146714472","https://openalex.org/W2156572918","https://openalex.org/W2164868766","https://openalex.org/W2315666945","https://openalex.org/W2360533561","https://openalex.org/W2374511936","https://openalex.org/W2516874163","https://openalex.org/W2759973440","https://openalex.org/W2944320087","https://openalex.org/W3012760488","https://openalex.org/W3032022676","https://openalex.org/W3036695547","https://openalex.org/W3083576085","https://openalex.org/W3102262420","https://openalex.org/W3105655570","https://openalex.org/W3143635792","https://openalex.org/W3190298009","https://openalex.org/W4206151722","https://openalex.org/W654475189"],"related_works":["https://openalex.org/W4306248409","https://openalex.org/W4285665405","https://openalex.org/W4211213551","https://openalex.org/W3159631231","https://openalex.org/W3023701799","https://openalex.org/W2769759987","https://openalex.org/W2622264947","https://openalex.org/W2530088135","https://openalex.org/W2058740861","https://openalex.org/W122018179"],"abstract_inverted_index":{"Spatiotemporal":[0],"scale":[1],"is":[2,33,64,118,131,162],"a":[3,17,58,113,135],"basic":[4],"component":[5],"of":[6,12,23,41,75,96,105,137,145,147,159,185],"geographical":[7,44,55,186],"problems":[8],"because":[9],"the":[10,21,27,39,72,86,92,103,106,127,143,157,160],"size":[11],"spatiotemporal":[13,59,76,87,128,170,180],"units":[14,51,70,172],"may":[15],"have":[16],"significant":[18],"impact":[19],"on":[20,81,153,174],"aggregation":[22],"spatial":[24,50,139,149],"data":[25,45],"and":[26,49,94,101,126,142],"corresponding":[28],"analysis":[29,60,69,88,129,171,181],"results.":[30],"However,":[31],"there":[32],"no":[34],"clear":[35],"standard":[36],"for":[37,169,183],"measuring":[38],"representativeness":[40],"conclusions":[42],"when":[43],"with":[46],"different":[47],"temporal":[48],"are":[52],"used":[53,119],"in":[54],"calculations.":[56],"Therefore,":[57],"unit":[61,98,109,130],"optimization":[62,167],"framework":[63,79,117,161,168],"proposed":[65,166],"to":[66,84,112,120],"evaluate":[67],"candidate":[68],"using":[71,134],"distribution":[73],"patterns":[74],"data.":[77],"The":[78,116,165],"relies":[80],"Pareto":[82],"optimality":[83],"select":[85],"unit,":[89],"thereby":[90],"overcoming":[91],"subjectivity":[93],"randomness":[95],"traditional":[97],"setting":[99],"methods":[100],"mitigating":[102],"influence":[104],"modifiable":[107],"areal":[108],"problem":[110],"(MAUP)":[111],"certain":[114],"extent.":[115],"analyze":[121],"floating":[122],"car":[123],"trajectory":[124],"data,":[125],"optimized":[132],"by":[133],"combination":[136],"global":[138],"autocorrelation":[140],"coefficients":[141,144],"variation":[146],"local":[148],"autocorrelation.":[150],"Moreover,":[151],"based":[152,173],"urban":[154],"hotspot":[155],"calculations,":[156],"effectiveness":[158],"further":[163],"verified.":[164],"multiple":[175],"criteria":[176],"can":[177],"provide":[178],"suitable":[179],"scales":[182],"studies":[184],"phenomena.":[187]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4280640982","counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2024-12-18T20:15:17.665278","created_date":"2022-05-22"}