{"id":"https://openalex.org/W3076275271","doi":"https://doi.org/10.1680/jmuen.20.00003","title":"Interpretable machine-learning models for estimating trip purpose in smart card data","display_name":"Interpretable machine-learning models for estimating trip purpose in smart card data","publication_year":2020,"publication_date":"2020-08-19","ids":{"openalex":"https://openalex.org/W3076275271","doi":"https://doi.org/10.1680/jmuen.20.00003","mag":"3076275271"},"language":"en","primary_location":{"id":"doi:10.1680/jmuen.20.00003","doi":"https://doi.org/10.1680/jmuen.20.00003","is_oa":false,"landing_page_url":"https://doi.org/10.1680/jmuen.20.00003","pdf_url":null,"source":{"id":"https://openalex.org/S4210234142","display_name":"Proceedings of the Institution of Civil Engineers - Municipal Engineer","issn_l":"0965-0903","issn":["0965-0903","1751-7699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4322764898","host_organization_name":"Thomas Telford Ltd.","host_organization_lineage":["https://openalex.org/P4322764898"],"host_organization_lineage_names":["Thomas Telford Ltd."],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Institution of Civil Engineers - Municipal Engineer","raw_type":"journal-article"},"volume":null,"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/A5049465999","display_name":"Eui-Jin Kim","orcid":"https://orcid.org/0000-0003-1057-2806","observed_orcids":["https://orcid.org/0000-0003-1057-2806"]},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eui-Jin Kim","raw_affiliation_strings":["PhD candidate, Department of Civil & Environmental Engineering, Seoul National University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-1057-2806","affiliations":[{"raw_affiliation_string":"PhD candidate, Department of Civil & Environmental Engineering, Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Youngseo Kim","orcid":"https://orcid.org/0000-0001-6088-0212","observed_orcids":["https://orcid.org/0000-0001-6088-0212"]},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngseo Kim","raw_affiliation_strings":["Master Course, Department of Civil & Environmental Engineering, Seoul National University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-6088-0212","affiliations":[{"raw_affiliation_string":"Master Course, Department of Civil & Environmental Engineering, Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377978","display_name":"Dong\u2010Kyu Kim","orcid":"https://orcid.org/0000-0003-0746-3043","observed_orcids":["https://orcid.org/0000-0003-0746-3043","https://orcid.org/0000-0002-2410-2701"]},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dong-Kyu Kim","raw_affiliation_strings":["Associate Professor, Department of Civil & Environmental Engineering, Seoul National University, Seoul, Republic of Korea (corresponding author: )"],"raw_orcid":"https://orcid.org/0000-0003-0746-3043","affiliations":[{"raw_affiliation_string":"Associate Professor, Department of Civil & Environmental Engineering, Seoul National University, Seoul, Republic of Korea (corresponding author: )","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100377978"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":2.6721,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90038511,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"174","issue":"2","first_page":"108","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.4909999966621399,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.4909999966621399,"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":0.4399000108242035,"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":0.03280000016093254,"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/smart-card-data","display_name":"smart card data","score":0.9179999828338623},{"id":"https://openalex.org/keywords/transit-passengers","display_name":"transit passengers","score":0.8330000042915344},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.7250000238418579},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.9319999814033508},{"id":"https://openalex.org/keywords/feature-importance","display_name":"feature importance","score":0.8140000104904175},{"id":"https://openalex.org/keywords/accumulated-local-effects","display_name":"accumulated local effects","score":0.8889999985694885},{"id":"https://openalex.org/keywords/feature-interaction","display_name":"feature interaction","score":0.7409999966621399},{"id":"https://openalex.org/keywords/household-travel-survey","display_name":"household travel survey","score":0.7990000247955322},{"id":"https://openalex.org/keywords/spatio-temporal-features","display_name":"spatio-temporal features","score":0.9779999852180481},{"id":"https://openalex.org/keywords/public-transport","display_name":"public transport","score":0.6940000057220459},{"id":"https://openalex.org/keywords/urban-transportation-planning","display_name":"urban transportation planning","score":0.4339999854564667}],"concepts":[{"id":"https://openalex.org/C110406131","wikidata":"https://www.wikidata.org/wiki/Q41349","display_name":"Smart card","level":2,"score":0.6904205083847046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6856241226196289},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6011795401573181},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5794682502746582},{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.5315406322479248},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4976847469806671},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4840547442436218},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4313451051712036},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.42436540126800537},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.41085416078567505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38603854179382324},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.21604159474372864},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18224692344665527},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1680/jmuen.20.00003","doi":"https://doi.org/10.1680/jmuen.20.00003","is_oa":false,"landing_page_url":"https://doi.org/10.1680/jmuen.20.00003","pdf_url":null,"source":{"id":"https://openalex.org/S4210234142","display_name":"Proceedings of the Institution of Civil Engineers - Municipal Engineer","issn_l":"0965-0903","issn":["0965-0903","1751-7699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4322764898","host_organization_name":"Thomas Telford Ltd.","host_organization_lineage":["https://openalex.org/P4322764898"],"host_organization_lineage_names":["Thomas Telford Ltd."],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Institution of Civil Engineers - Municipal Engineer","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8787999749183655,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"},{"score":0.5378999710083008,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1589942801","https://openalex.org/W2041371899","https://openalex.org/W2048231652","https://openalex.org/W2064980505","https://openalex.org/W2090853323","https://openalex.org/W2193618146","https://openalex.org/W2282821441","https://openalex.org/W2587802550","https://openalex.org/W2612690371","https://openalex.org/W2616943032","https://openalex.org/W2782547620","https://openalex.org/W2787894218","https://openalex.org/W2903885382","https://openalex.org/W2929588561","https://openalex.org/W2945998756","https://openalex.org/W2969476445","https://openalex.org/W2974775967","https://openalex.org/W2999362542","https://openalex.org/W4231887836","https://openalex.org/W4236765470"],"related_works":["https://openalex.org/W2782547620","https://openalex.org/W3156170057","https://openalex.org/W2090853323","https://openalex.org/W2784949259","https://openalex.org/W4396877959","https://openalex.org/W4411475525","https://openalex.org/W4388207973","https://openalex.org/W4381051462","https://openalex.org/W3207571777","https://openalex.org/W7170145464"],"abstract_inverted_index":{"Investigating":[0],"trip":[1,39,55,110],"purposes":[2,40,56,111,178],"of":[3,36,47,57,118,160,179],"transit":[4,58],"passengers":[5,59],"is":[6,69,101],"crucial":[7],"in":[8,17,60,157,175],"assessing":[9],"current":[10],"urban":[11],"transportation":[12,20],"systems":[13],"and":[14,31,96,112,137,147,181],"prioritising":[15],"investments":[16],"the":[18,34,45,115,119,124,133,138,161,172,177,182,186,192],"public":[19],"infrastructure.":[21],"Smart":[22],"card":[23,62,135],"data":[24,136],"provide":[25],"day-to-day":[26],"information":[27,37,140],"on":[28,38,44,53],"passengers\u2019":[29],"boardings":[30],"alightings,":[32],"but":[33],"lack":[35],"leads":[41],"to":[42,108,113],"restrictions":[43],"use":[46],"these":[48],"data.":[49,75,163],"This":[50,103],"paper":[51],"focuses":[52],"estimating":[54,176],"smart":[61,134],"data,":[63,141],"using":[64],"a":[65,80],"machine-learning":[66,87],"model":[67,83,151],"that":[68,90,127,168],"trained":[70],"by":[71],"household":[72],"travel":[73],"survey":[74],"To":[76],"accomplish":[77],"this":[78],"objective,":[79],"random":[81],"forest":[82],"coupled":[84],"with":[85,191],"interpretable":[86],"methods":[88,166],"\u2013":[89],"is,":[91],"feature":[92,94],"importance,":[93],"interactions":[95],"accumulated":[97],"local":[98],"effects":[99],"plot":[100],"proposed.":[102],"approach":[104],"can":[105,128,143],"be":[106,129,144],"used":[107],"estimate":[109],"explain":[114],"decision-making":[116],"process":[117],"models.":[120],"The":[121,149,164],"models":[122],"include":[123],"spatiotemporal":[125],"features":[126,170,184],"extracted":[130],"from":[131],"both":[132],"geographic":[139],"which":[142],"collected":[145],"sustainably":[146],"cost-effectively.":[148],"proposed":[150],"achieves":[152],"an":[153],"83%":[154],"overall":[155],"accuracy":[156],"its":[158],"estimation":[159],"validation":[162],"interpretation":[165],"show":[167],"temporal":[169,193],"are":[171],"dominant":[173],"factors":[174],"trips,":[180],"spatial":[183],"influence":[185],"estimates":[187],"mainly":[188],"through":[189],"cross-effects":[190],"features.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2020-08-24T00:00:00"}
