{"id":"https://openalex.org/W7135239885","doi":"https://doi.org/10.48550/arxiv.2603.11477","title":"rt2gtfs: A scalable framework for correcting public transport timetables using real-time data for accessibility analysis","display_name":"rt2gtfs: A scalable framework for correcting public transport timetables using real-time data for accessibility analysis","publication_year":2026,"publication_date":"2026-03-12","ids":{"openalex":"https://openalex.org/W7135239885","doi":"https://doi.org/10.48550/arxiv.2603.11477"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.11477","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11477","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.11477","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129076951","display_name":"Zihao Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zihao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5069884826","display_name":"Federico Botta","orcid":"https://orcid.org/0000-0002-5681-4535"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Botta, Federico","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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":0.3441999852657318,"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":0.3441999852657318,"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":0.3434000015258789,"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":0.09189999848604202,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.7802000045776367},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6625000238418579},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.597100019454956},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5102999806404114},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4887000024318695},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.4551999866962433},{"id":"https://openalex.org/keywords/automatic-vehicle-location","display_name":"Automatic vehicle location","score":0.4081999957561493},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.391400009393692},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.38179999589920044}],"concepts":[{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.7802000045776367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172999978065491},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6625000238418579},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.597100019454956},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5102999806404114},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4887000024318695},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.4551999866962433},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.45210000872612},{"id":"https://openalex.org/C202176563","wikidata":"https://www.wikidata.org/wiki/Q2527484","display_name":"Automatic vehicle location","level":3,"score":0.4081999957561493},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.38179999589920044},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.313400000333786},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29010000824928284},{"id":"https://openalex.org/C58037377","wikidata":"https://www.wikidata.org/wiki/Q92785211","display_name":"Level of service","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C181889124","wikidata":"https://www.wikidata.org/wiki/Q380204","display_name":"Service level","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C140781008","wikidata":"https://www.wikidata.org/wiki/Q1221081","display_name":"Service quality","level":3,"score":0.28209999203681946},{"id":"https://openalex.org/C110593043","wikidata":"https://www.wikidata.org/wiki/Q7300787","display_name":"Real-time data","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C3018364605","wikidata":"https://www.wikidata.org/wiki/Q7590","display_name":"Passenger transport","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.25839999318122864},{"id":"https://openalex.org/C2776004034","wikidata":"https://www.wikidata.org/wiki/Q1068755","display_name":"Check-in","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C2778384698","wikidata":"https://www.wikidata.org/wiki/Q7835961","display_name":"Travel survey","level":3,"score":0.2547999918460846},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.11477","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11477","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.11477","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11477","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4331870377063751,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Travel":[0],"time":[1,134],"is":[2],"a":[3,67,159],"fundamental":[4],"component":[5],"of":[6],"accessibility":[7,11,139,155],"measurement,":[8],"yet":[9],"most":[10],"analyses":[12],"rely":[13],"on":[14],"static":[15],"timetable":[16,107],"data":[17,113],"that":[18],"assume":[19],"public":[20,56,170],"transport":[21,57,171,174],"services":[22],"operate":[23],"exactly":[24],"as":[25,136,138,145],"scheduled.":[26],"Such":[27],"representations":[28],"overlook":[29],"the":[30,79,143],"substantial":[31],"variability":[32],"in":[33],"travel":[34,133],"times":[35],"arising":[36],"from":[37,59,78,115],"operational":[38],"conditions":[39],"and":[40,69,94,99,102,131,153,157,164],"service":[41],"disruptions.":[42],"In":[43],"this":[44,148],"paper,":[45],"we":[46,117],"present":[47],"rt2gtfs,":[48],"an":[49],"open-source":[50],"Python":[51],"package":[52,65],"for":[53,72,129,162],"reconstructing":[54],"empirical":[55],"timetables":[58,127],"high-frequency":[60],"vehicle":[61,75,88],"location":[62],"data.":[63],"The":[64],"provides":[66,158],"configurable":[68],"scalable":[70],"workflow":[71],"collecting":[73],"GTFS-Realtime":[74],"position":[76],"feeds":[77,114],"UK":[80],"Bus":[81],"Open":[82],"Data":[83],"Service":[84],"(BODS),":[85],"matching":[86],"observed":[87,126,169],"locations":[89],"to":[90,124,167],"scheduled":[91],"GTFS":[92,105],"trips":[93],"stops,":[95],"inferring":[96],"stop-level":[97],"arrival":[98],"departure":[100],"times,":[101],"exporting":[103],"corrected":[104],"format":[106],"bundles.":[108],"Using":[109],"national-scale":[110],"real-time":[111],"bus":[112],"BODS,":[116],"demonstrate":[118],"how":[119],"rt2gtfs":[120],"can":[121],"be":[122],"used":[123],"generate":[125],"suitable":[128],"routing":[130],"origin-destination":[132],"calculation,":[135],"well":[137],"analysis.":[140],"By":[141],"packaging":[142],"framework":[144],"reusable":[146],"software,":[147],"work":[149],"supports":[150],"more":[151],"reproducible":[152],"realistic":[154],"analysis":[156],"practical":[160],"tool":[161],"researchers":[163],"practitioners":[165],"seeking":[166],"incorporate":[168],"performance":[172],"into":[173],"planning.":[175]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-14T00:00:00"}