{"id":"https://openalex.org/W2740673215","doi":"https://doi.org/10.1140/epjds/s13688-018-0160-x","title":"Complex delay dynamics on railway networks from universal laws to realistic modelling","display_name":"Complex delay dynamics on railway networks from universal laws to realistic modelling","publication_year":2018,"publication_date":"2018-09-17","ids":{"openalex":"https://openalex.org/W2740673215","doi":"https://doi.org/10.1140/epjds/s13688-018-0160-x","mag":"2740673215"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-018-0160-x","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-018-0160-x","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-018-0160-x","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-018-0160-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bernardo Monechi","orcid":"https://orcid.org/0000-0003-3841-3989"},"institutions":[{"id":"https://openalex.org/I134940468","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188","country_code":"IT","type":"facility","lineage":["https://openalex.org/I134940468"]},{"id":"https://openalex.org/I4210131385","display_name":"Sony (France)","ror":"https://ror.org/03cr99w51","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210131385","https://openalex.org/I4210143797"]}],"countries":["FR","IT"],"is_corresponding":true,"raw_author_name":"Bernardo Monechi","raw_affiliation_strings":["Institute for Scientific Interchange Foundation, Turin, Italy","SONY Computer Science Lab, Paris, France"],"raw_orcid":"https://orcid.org/0000-0003-3841-3989","affiliations":[{"raw_affiliation_string":"Institute for Scientific Interchange Foundation, Turin, Italy","institution_ids":["https://openalex.org/I134940468"]},{"raw_affiliation_string":"SONY Computer Science Lab, Paris, France","institution_ids":["https://openalex.org/I4210131385"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pietro Gravino","orcid":"https://orcid.org/0000-0002-0937-8830"},"institutions":[{"id":"https://openalex.org/I4210131385","display_name":"Sony (France)","ror":"https://ror.org/03cr99w51","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210131385","https://openalex.org/I4210143797"]},{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["FR","IT"],"is_corresponding":false,"raw_author_name":"Pietro Gravino","raw_affiliation_strings":["SONY Computer Science Lab, Paris, France","\u201cSapienza\u201d University of Rome, Roma, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0937-8830","affiliations":[{"raw_affiliation_string":"SONY Computer Science Lab, Paris, France","institution_ids":["https://openalex.org/I4210131385"]},{"raw_affiliation_string":"\u201cSapienza\u201d University of Rome, Roma, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Riccardo Di Clemente","orcid":"https://orcid.org/0000-0001-8005-6351"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Riccardo Di Clemente","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, USA","The Bartlett Centre for Advanced Spatial Analysis, University College London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-8005-6351","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"The Bartlett Centre for Advanced Spatial Analysis, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":null,"display_name":"Vito D. P. Servedio","orcid":"https://orcid.org/0000-0003-3221-5973"},"institutions":[{"id":"https://openalex.org/I4210112164","display_name":"Complexity Science Hub","ror":"https://ror.org/023dz9m50","country_code":"AT","type":"nonprofit","lineage":["https://openalex.org/I4210112164"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Vito D. P. Servedio","raw_affiliation_strings":["Complexity Science Hub Vienna, Vienna, Austria"],"raw_orcid":"https://orcid.org/0000-0003-3221-5973","affiliations":[{"raw_affiliation_string":"Complexity Science Hub Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I4210112164"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I134940468","https://openalex.org/I4210131385"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":1.9462,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.87896326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.7728000283241272,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.7728000283241272,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.030700000002980232,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.02419999986886978,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/resilience","display_name":"Resilience (materials science)","score":0.7096999883651733},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6471999883651733},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6122000217437744},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.4860999882221222},{"id":"https://openalex.org/keywords/adverse-weather","display_name":"Adverse weather","score":0.4422000050544739},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.4311999976634979},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.4244000017642975},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.4065000116825104}],"concepts":[{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.7096999883651733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6830999851226807},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6471999883651733},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6122000217437744},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.4860999882221222},{"id":"https://openalex.org/C2992147540","wikidata":"https://www.wikidata.org/wiki/Q1277161","display_name":"Adverse weather","level":2,"score":0.4422000050544739},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.4311999976634979},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.4244000017642975},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C137176749","wikidata":"https://www.wikidata.org/wiki/Q4105337","display_name":"Psychological resilience","level":2,"score":0.40639999508857727},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.39910000562667847},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.35920000076293945},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C2987165512","wikidata":"https://www.wikidata.org/wiki/Q3565868","display_name":"Railway system","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C123757187","wikidata":"https://www.wikidata.org/wiki/Q9195957","display_name":"Network dynamics","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.29429998993873596},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C151915977","wikidata":"https://www.wikidata.org/wiki/Q5937740","display_name":"Human dynamics","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2563000023365021}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1140/epjds/s13688-018-0160-x","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-018-0160-x","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-018-0160-x","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1707.08632","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.08632","pdf_url":"https://arxiv.org/pdf/1707.08632","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"},{"id":"pmh:oai:doaj.org/article:1efab6a741be47dfb9c7885fb8d25a70","is_oa":true,"landing_page_url":"https://doaj.org/article/1efab6a741be47dfb9c7885fb8d25a70","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 7, Iss 1, Pp 1-18 (2018)","raw_type":"article"},{"id":"pmh:oai:ore.exeter.ac.uk:10871/40626","is_oa":true,"landing_page_url":"http://hdl.handle.net/10871/40626","pdf_url":null,"source":{"id":"https://openalex.org/S4306401998","display_name":"Open Research Exeter (University of Exeter)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I23923803","host_organization_name":"University of Exeter","host_organization_lineage":["https://openalex.org/I23923803"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-018-0160-x","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-018-0160-x","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-018-0160-x","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2940585847","display_name":null,"funder_award_id":"NF170505","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"},{"id":"https://openalex.org/G4221970893","display_name":null,"funder_award_id":"NF170505","funder_id":"https://openalex.org/F4320320241","funder_display_name":"Academy of Medical Sciences"},{"id":"https://openalex.org/G6588801329","display_name":null,"funder_award_id":"857136","funder_id":"https://openalex.org/F4320323031","funder_display_name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft"},{"id":"https://openalex.org/G8988289067","display_name":"Unfolding the dynamics of creativity, novelties and innovation","funder_award_id":"51663","funder_id":"https://openalex.org/F4320306193","funder_display_name":"John Templeton Foundation"}],"funders":[{"id":"https://openalex.org/F4320306193","display_name":"John Templeton Foundation","ror":"https://ror.org/035tnyy05"},{"id":"https://openalex.org/F4320320004","display_name":"British Academy","ror":"https://ror.org/0302b4677"},{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320320241","display_name":"Academy of Medical Sciences","ror":"https://ror.org/00c489v88"},{"id":"https://openalex.org/F4320323031","display_name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft","ror":"https://ror.org/028jc0449"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2740673215.pdf","grobid_xml":"https://content.openalex.org/works/W2740673215.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1969383134","https://openalex.org/W1979691156","https://openalex.org/W1992224053","https://openalex.org/W2007358669","https://openalex.org/W2026238375","https://openalex.org/W2036537998","https://openalex.org/W2038195874","https://openalex.org/W2040956707","https://openalex.org/W2044347817","https://openalex.org/W2079246731","https://openalex.org/W2102911810","https://openalex.org/W2105064452","https://openalex.org/W2115336844","https://openalex.org/W2121336607","https://openalex.org/W2125170903","https://openalex.org/W2127507511","https://openalex.org/W2138056188","https://openalex.org/W2144382499","https://openalex.org/W2148606196","https://openalex.org/W2157231424","https://openalex.org/W2172300075","https://openalex.org/W2783065878","https://openalex.org/W3021822145","https://openalex.org/W3037085755","https://openalex.org/W3124277730","https://openalex.org/W4235161505"],"related_works":[],"abstract_inverted_index":{"Railways":[0],"are":[1],"a":[2,52,58,132,142],"key":[3],"infrastructure":[4],"for":[5,147],"any":[6],"modern":[7],"country.":[8],"The":[9],"reliability":[10],"and":[11,28,41,79,89,119,144,158],"resilience":[12],"of":[13,38,45,62,66,110,116,124,151,154,159],"this":[14,73],"peculiar":[15],"transportation":[16],"system":[17,40],"may":[18],"be":[19],"challenged":[20],"by":[21,83,130,135],"different":[22,114],"shocks":[23],"such":[24],"as":[25],"disruptions,":[26],"strikes":[27],"adverse":[29],"weather":[30],"conditions.":[31],"These":[32],"events":[33],"compromise":[34],"the":[35,39,43,48,63,77,86,95,108,117,122,128,148,152,160],"correct":[36],"functioning":[37],"trigger":[42],"spreading":[44,123,137],"delays":[46,112,126],"into":[47],"railway":[49,81,161],"network":[50,118,129,162],"on":[51,85],"daily":[53],"basis.":[54],"Despite":[55],"their":[56],"importance,":[57],"general":[59],"theoretical":[60],"understanding":[61],"underlying":[64],"causes":[65],"these":[67,100,125],"disruptions":[68],"is":[69],"still":[70],"lacking.":[71],"In":[72],"work,":[74],"we":[75,120],"analyse":[76],"Italian":[78],"German":[80],"networks":[82],"leveraging":[84],"train":[87],"schedules":[88],"actual":[90],"delay":[91],"data":[92,101],"retrieved":[93],"during":[94],"year":[96],"2015.":[97],"We":[98],"use":[99],"to":[102],"infer":[103],"simple":[104],"statistical":[105],"laws":[106],"ruling":[107],"emergence":[109],"localized":[111],"in":[113],"areas":[115],"model":[121,140],"throughout":[127],"exploiting":[131],"framework":[133],"inspired":[134],"epidemic":[136],"models.":[138],"Our":[139],"offers":[141],"fast":[143],"easy":[145],"tool":[146],"preliminary":[149],"assessment":[150],"effectiveness":[153],"traffic":[155],"handling":[156],"policies,":[157],"criticalities.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2017-08-08T00:00:00"}