{"id":"https://openalex.org/W3210657894","doi":"https://doi.org/10.1145/3486640.3491392","title":"gtfs2vec","display_name":"gtfs2vec","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W3210657894","doi":"https://doi.org/10.1145/3486640.3491392","mag":"3210657894"},"language":"en","primary_location":{"id":"doi:10.1145/3486640.3491392","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486640.3491392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2111.00960","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024393632","display_name":"Piotr Gramacki","orcid":"https://orcid.org/0000-0002-4587-5586"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Gramacki","raw_affiliation_strings":["Department of Computational Intelligence, Wroc\u0142aw University of Science and Technology Wroc\u0142aw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence, Wroc\u0142aw University of Science and Technology Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012017231","display_name":"Szymon Wo\u017aniak","orcid":"https://orcid.org/0000-0002-2047-1649"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Szymon Wo\u017aniak","raw_affiliation_strings":["Department of Computational Intelligence, Wroc\u0142aw University of Science and Technology Wroc\u0142aw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence, Wroc\u0142aw University of Science and Technology Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029267128","display_name":"Piotr Szyma\u0144ski","orcid":"https://orcid.org/0000-0002-7733-3239"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Szyma\u0144ski","raw_affiliation_strings":["Department of Computational Intelligence, Wroc\u0142aw University of Science and Technology Wroc\u0142aw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence, Wroc\u0142aw University of Science and Technology Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"12"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9980999827384949,"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":0.9969000220298767,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6708803772926331},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.651381254196167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6429416537284851},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.5258791446685791},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5052793622016907},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4869621694087982},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4530309736728668},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.44756168127059937},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4190959930419922},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.41308310627937317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40724867582321167},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3959452211856842},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18053457140922546},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1063108742237091},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10489967465400696}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6708803772926331},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.651381254196167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6429416537284851},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.5258791446685791},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5052793622016907},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4869621694087982},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4530309736728668},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.44756168127059937},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4190959930419922},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.41308310627937317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40724867582321167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3959452211856842},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18053457140922546},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1063108742237091},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10489967465400696},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3486640.3491392","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486640.3491392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2111.00960","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.00960","pdf_url":"https://arxiv.org/pdf/2111.00960","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2111.00960","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.00960","pdf_url":"https://arxiv.org/pdf/2111.00960","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2012549825","https://openalex.org/W2049017883","https://openalex.org/W2122538988","https://openalex.org/W2553270068","https://openalex.org/W2606634101","https://openalex.org/W2762214439","https://openalex.org/W2807855639","https://openalex.org/W2807954821","https://openalex.org/W2902412911","https://openalex.org/W2945431268","https://openalex.org/W2950577311","https://openalex.org/W3038304141","https://openalex.org/W3080422828","https://openalex.org/W3105727584","https://openalex.org/W3106332918","https://openalex.org/W3118630692","https://openalex.org/W3123920865"],"related_works":["https://openalex.org/W1492794944","https://openalex.org/W169603398","https://openalex.org/W2953297905","https://openalex.org/W2049033869","https://openalex.org/W4292477917","https://openalex.org/W2910844563","https://openalex.org/W2074255033","https://openalex.org/W2195904091","https://openalex.org/W3001427781","https://openalex.org/W4375958012"],"abstract_inverted_index":{"We":[0,15,121],"selected":[1],"48":[2],"European":[3],"cities":[4,131],"and":[5,40,93,132],"gathered":[6],"their":[7],"public":[8,43,118,140],"transport":[9,44,119,141],"timetables":[10,31],"in":[11,46],"the":[12,30,38,61,103,127],"GTFS":[13],"format.":[14],"utilized":[16,82],"Uber's":[17],"H3":[18],"spatial":[19],"index":[20],"to":[21,57,74,96,109],"divide":[22],"each":[23,47,59],"city":[24],"into":[25],"hexagonal":[26],"micro-regions.":[27],"Based":[28],"on":[29],"data":[32],"we":[33,50,67,81,101],"created":[34],"certain":[35],"features":[36],"describing":[37],"quantity":[39],"variety":[41],"of":[42,60,113,129],"availability":[45],"region.":[48],"Next,":[49],"trained":[51],"an":[52,83],"auto-associative":[53],"deep":[54],"neural":[55],"network":[56],"embed":[58],"regions.":[62,77],"Having":[63],"such":[64],"prepared":[65],"representations,":[66],"then":[68],"used":[69],"a":[70,88],"hierarchical":[71],"clustering":[72,85],"approach":[73],"identify":[75,110],"similar":[76,139],"To":[78],"do":[79],"so,":[80],"agglomerative":[84],"algorithm":[86],"with":[87,138],"euclidean":[89],"distance":[90],"between":[91],"regions":[92],"Ward's":[94],"method":[95],"minimize":[97],"in-cluster":[98],"variance.":[99],"Finally,":[100],"analyzed":[102,130],"obtained":[104],"clusters":[105,114],"at":[106],"different":[107],"levels":[108],"some":[111],"number":[112],"that":[115,123],"qualitatively":[116],"describe":[117],"availability.":[120],"showed":[122],"our":[124],"typology":[125],"matches":[126],"characteristics":[128],"allows":[133],"succesful":[134],"searching":[135],"for":[136],"areas":[137],"schedule":[142],"characteristics.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2021-11-08T00:00:00"}
