{"id":"https://openalex.org/W2365054271","doi":null,"title":"A Review of Urban Studies Based on Transit Smart Card Data","display_name":"A Review of Urban Studies Based on Transit Smart Card Data","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2365054271","mag":"2365054271"},"language":"en","primary_location":{"id":"mag:2365054271","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTotal-CXGH201503010.htm","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"review","indexed_in":[],"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/A5100566679","display_name":"Long Yin","orcid":"https://orcid.org/0000-0003-0552-3516","observed_orcids":["https://orcid.org/0000-0003-0552-3516"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Long Yin","raw_affiliation_strings":["Future Cities Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Future Cities Laboratory","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100566679"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1809,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.50877193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9887999892234802,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9887999892234802,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.006300000008195639,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.00419999985024333,"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/automatic-fare-collection","display_name":"automatic fare collection","score":0.8679999709129333},{"id":"https://openalex.org/keywords/urban-structure","display_name":"urban structure","score":0.9359999895095825},{"id":"https://openalex.org/keywords/mobility-behavior","display_name":"mobility behavior","score":0.8640000224113464},{"id":"https://openalex.org/keywords/social-networks","display_name":"social networks","score":0.9319999814033508},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"privacy preservation","score":0.8820000290870667},{"id":"https://openalex.org/keywords/public-transport-systems","display_name":"transit systems","score":0.382999986410141}],"concepts":[{"id":"https://openalex.org/C110406131","wikidata":"https://www.wikidata.org/wiki/Q41349","display_name":"Smart card","level":2,"score":0.8361917734146118},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.6209686994552612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.59087073802948},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5457874536514282},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5392616391181946},{"id":"https://openalex.org/C2778022998","wikidata":"https://www.wikidata.org/wiki/Q651136","display_name":"Transit (satellite)","level":3,"score":0.5273716449737549},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.46605783700942993},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43268316984176636},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4183819890022278},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3650677800178528},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3176986575126648},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2857264578342438},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21606144309043884},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.11335396766662598},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.10592144727706909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1048789918422699},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2365054271","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTotal-CXGH201503010.htm","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":1.0}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2044985623","https://openalex.org/W7027374381","https://openalex.org/W2165783061","https://openalex.org/W7024337096","https://openalex.org/W2066722870","https://openalex.org/W4410985887","https://openalex.org/W615130418","https://openalex.org/W2594665357","https://openalex.org/W2792076354","https://openalex.org/W2516733807"],"abstract_inverted_index":{"The":[0],"wide":[1],"application":[2],"of":[3,18,31,38,55,68,101,119,125],"smart":[4,49,76],"card":[5,50,77],"for":[6],"automated":[7],"fare":[8],"collection":[9],"in":[10],"public":[11],"transit":[12,95],"systems":[13],"has":[14],"produced":[15],"large":[16,47],"quantities":[17],"spatial-temporal":[19,43],"data":[20,25,51,78,90],"at":[21],"an":[22],"individual":[23],"level.Such":[24],"not":[26],"only":[27],"records":[28],"mobility":[29,103],"behavior":[30,104],"cardholders,but":[32],"also":[33,129],"reveals":[34],"the":[35,69,86],"spatial":[36,99],"functions":[37],"cities.Owing":[39],"to":[40,117],"its":[41],"high":[42],"resolution,low":[44],"cost":[45],"and":[46,60,82,92,97,105,112,122],"quantity,transit":[48],"attract":[52],"a":[53,65,114],"lot":[54],"attention":[56],"from":[57,79],"urban/transport":[58],"planners":[59],"urban":[61,72],"researchers.This":[62],"article":[63],"presents":[64],"comprehensive":[66],"review":[67,84,108],"latest":[70],"quantitative":[71],"studies":[73,111],"enabled":[74],"by":[75],"both":[80],"China":[81],"overseas.The":[83],"covers":[85],"following":[87],"four":[88],"aspects:(1)":[89],"processing":[91],"origin-destination":[93],"inference,(2)":[94],"operation":[96],"management,(3)":[98],"structure":[100],"cities,and(4)":[102],"social":[106],"networks.Finally,the":[107],"summarizes":[109],"existing":[110],"gives":[113],"brief":[115],"introduction":[116],"issues":[118],"privacy":[120],"protection":[121],"information":[123],"extraction.Areas":[124],"future":[126],"research":[127],"are":[128],"pointed":[130],"out.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2016-06-24T00:00:00"}