{"id":"https://openalex.org/W2500501728","doi":null,"title":"Modeling Transit Patterns Via Mobile App Logs.","display_name":"Modeling Transit Patterns Via Mobile App Logs.","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2500501728","mag":"2500501728"},"language":"en","primary_location":{"id":"mag:2500501728","doi":null,"is_oa":false,"landing_page_url":"https://rosap.ntl.bts.gov/view/dot/31317","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},"parent_works":[],"lineage":["https://openalex.org/W2500501728"],"child_works_count":0,"type":"article","is_traditional":true,"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/A5027233041","display_name":"Anthony Tomasic","orcid":"https://orcid.org/0000-0001-7864-0364","observed_orcids":["https://orcid.org/0000-0001-7864-0364"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anthony Tomasic","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108044002","display_name":"Aaron M. Steinfeld","orcid":"https://orcid.org/0000-0003-2274-0053","observed_orcids":["https://orcid.org/0000-0003-2274-0053"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aaron Steinfeld","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2274-0053","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068413510","display_name":"John Zimmerman","orcid":"https://orcid.org/0000-0001-5299-8157","observed_orcids":["https://orcid.org/0000-0001-5299-8157"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Zimmerman","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5299-8157","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5069753270","display_name":"Afsaneh Doryab","orcid":"https://orcid.org/0000-0003-1575-385X","observed_orcids":["https://orcid.org/0000-0003-1575-385X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Afsaneh Doryab","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.54830002784729,"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":0.54830002784729,"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":0.44510000944137573,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.001500000013038516,"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/public-transport","display_name":"public transport","score":0.6940000057220459},{"id":"https://openalex.org/keywords/commuter-behavior","display_name":"commuter behavior","score":0.9120000004768372},{"id":"https://openalex.org/keywords/route-optimization","display_name":"route optimization","score":0.5640000104904175},{"id":"https://openalex.org/keywords/destination-prediction","display_name":"destination prediction","score":0.6959999799728394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.5659999847412109}],"concepts":[{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.6797888875007629},{"id":"https://openalex.org/C2778022998","wikidata":"https://www.wikidata.org/wiki/Q651136","display_name":"Transit (satellite)","level":3,"score":0.662295401096344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6533614993095398},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.6300309300422668},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.5332006812095642},{"id":"https://openalex.org/C2988145974","wikidata":"https://www.wikidata.org/wiki/Q620615","display_name":"Mobile apps","level":2,"score":0.5250670313835144},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.43954554200172424},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4130960702896118},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32168179750442505},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2719881534576416},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22748708724975586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14642852544784546},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09176072478294373},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2500501728","doi":null,"is_oa":false,"landing_page_url":"https://rosap.ntl.bts.gov/view/dot/31317","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","score":0.9333000183105469,"display_name":"Sustainable cities and communities"},{"id":"https://metadata.un.org/sdg/9","score":0.6948999762535095,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W358454466","https://openalex.org/W4220932752","https://openalex.org/W3094687104","https://openalex.org/W2944614267","https://openalex.org/W7099405725","https://openalex.org/W2581379641","https://openalex.org/W2177227799","https://openalex.org/W4405676413","https://openalex.org/W2581317682","https://openalex.org/W2748690921"],"abstract_inverted_index":{"Transit":[0],"planners":[1],"need":[2],"detailed":[3],"information":[4,41],"of":[5,30,48,69,72,147],"the":[6,26,66,113,117,163],"trips":[7],"people":[8],"take":[9],"using":[10,116],"public":[11],"transit":[12,62,74,114],"in":[13,122],"order":[14],"to":[15,52,90,133],"design":[16],"more":[17],"optimal":[18],"routes,":[19,157],"address":[20,25,134],"new":[21],"construction":[22],"projects,":[23],"and":[24,33,82,103,108,144,161],"constantly":[27],"changing":[28],"needs":[29],"a":[31,61,92,105],"city":[32],"metro":[34],"region.":[35],"Unfortunately,":[36],"good":[37],"rider":[38],"origin-destination":[39],"(O-D)":[40],"is":[42,51],"almost":[43],"universally":[44],"unavailable.":[45],"The":[46,87,119,139],"goal":[47],"this":[49,123],"project":[50,77,88,124],"develop":[53],"machine-learning":[54],"models":[55,143],"that":[56,95],"can":[57],"infer":[58],"O-D":[59],"for":[60,112],"service":[63],"based":[64],"on":[65,79],"request":[67],"logs":[68],"individual":[70],"users":[71],"mobile":[73,98],"apps.":[75],"This":[76],"builds":[78],"already":[80],"deployed":[81],"extensively":[83],"used":[84],"Tiramisu":[85,97,127],"app.":[86,118],"attempts":[89],"generate":[91],"generic":[93,109],"model":[94,111],"takes":[96],"app":[99],"data":[100,128],"as":[101],"input":[102],"outputs":[104],"highly":[106],"accurate":[107],"travel":[110],"community":[115],"approach":[120],"adopted":[121],"combines":[125],"raw":[126],"with":[129],"common":[130,153],"sense":[131],"assumptions":[132],"questions":[135],"about":[136],"commuter":[137,148],"behavior.":[138],"authors":[140],"build":[141],"statistical":[142],"provide":[145],"visualization":[146],"behavior,":[149],"which":[150],"helps":[151],"identify":[152],"behavioral":[154],"patterns,":[155],"inefficient":[156],"under":[158],"served":[159],"routes":[160],"predict":[162],"likely":[164],"destination.":[165]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-08-23T00:00:00"}