{"id":"https://openalex.org/W2990987647","doi":"https://doi.org/10.1080/23249935.2019.1692958","title":"An activity chain optimization method with comparison of test cases for different transportation modes","display_name":"An activity chain optimization method with comparison of test cases for different transportation modes","publication_year":2019,"publication_date":"2019-11-22","ids":{"openalex":"https://openalex.org/W2990987647","doi":"https://doi.org/10.1080/23249935.2019.1692958","mag":"2990987647"},"language":"en","primary_location":{"id":"doi:10.1080/23249935.2019.1692958","doi":"https://doi.org/10.1080/23249935.2019.1692958","is_oa":true,"landing_page_url":"https://doi.org/10.1080/23249935.2019.1692958","pdf_url":null,"source":{"id":"https://openalex.org/S4210177949","display_name":"Transportmetrica A Transport Science","issn_l":"2324-9935","issn":["2324-9935","2324-9943"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transportmetrica A: Transport Science","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1080/23249935.2019.1692958","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029416815","display_name":"Domokos Eszterg\u00e1r\u2010Kiss","orcid":"https://orcid.org/0000-0002-7424-4214","observed_orcids":["https://orcid.org/0000-0002-7424-4214"]},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Domokos Eszterg\u00e1r-Kiss","raw_affiliation_strings":["Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Budapest, Hungary"],"raw_orcid":"https://orcid.org/0000-0002-7424-4214","affiliations":[{"raw_affiliation_string":"Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054850902","display_name":"Zolt\u00e1n R\u00f3zsa","orcid":"https://orcid.org/0000-0002-3699-6669","observed_orcids":["https://orcid.org/0000-0002-3699-6669"]},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Zolt\u00e1n R\u00f3zsa","raw_affiliation_strings":["Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Budapest, Hungary"],"raw_orcid":"https://orcid.org/0000-0002-3699-6669","affiliations":[{"raw_affiliation_string":"Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055611722","display_name":"Tam\u00e1s Tettamanti","orcid":"https://orcid.org/0000-0002-8934-3653","observed_orcids":["https://orcid.org/0000-0002-8934-3653"]},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Tam\u00e1s Tettamanti","raw_affiliation_strings":["Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Budapest, Hungary"],"raw_orcid":"https://orcid.org/0000-0002-8934-3653","affiliations":[{"raw_affiliation_string":"Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5029416815"],"corresponding_institution_ids":["https://openalex.org/I29770179"],"apc_list":null,"apc_paid":null,"fwci":1.6823,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84289295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":"2","first_page":"293","last_page":"315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9854000210762024,"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":0.9854000210762024,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.008799999952316284,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.0027000000700354576,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/daily-activity-planning","display_name":"daily activity planning","score":0.5649999976158142},{"id":"https://openalex.org/keywords/travel-time-reduction","display_name":"travel time reduction","score":0.7279999852180481},{"id":"https://openalex.org/keywords/traveling-salesman-problem-with-time-windows","display_name":"traveling salesman problem with time windows","score":0.871999979019165},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.8199999928474426},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.9980000257492065},{"id":"https://openalex.org/keywords/car-sharing","display_name":"car sharing","score":0.6790000200271606},{"id":"https://openalex.org/keywords/public-transport","display_name":"public transport","score":0.9440000057220459},{"id":"https://openalex.org/keywords/car-travel","display_name":"car travel","score":0.40799999237060547},{"id":"https://openalex.org/keywords/transport-mode-comparison","display_name":"transport mode comparison","score":0.4909999966621399}],"concepts":[{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.6104398369789124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6043565273284912},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5654951333999634},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5456987619400024},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.5375610589981079},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5268151760101318},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.5079517960548401},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5068719983100891},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.47873565554618835},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4342937767505646},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.41861963272094727},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.41260087490081787},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.37842702865600586},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.26352906227111816},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22784310579299927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12649214267730713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1176241934299469},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08243602514266968},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/23249935.2019.1692958","doi":"https://doi.org/10.1080/23249935.2019.1692958","is_oa":true,"landing_page_url":"https://doi.org/10.1080/23249935.2019.1692958","pdf_url":null,"source":{"id":"https://openalex.org/S4210177949","display_name":"Transportmetrica A Transport Science","issn_l":"2324-9935","issn":["2324-9935","2324-9943"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transportmetrica A: Transport Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/23249935.2019.1692958","doi":"https://doi.org/10.1080/23249935.2019.1692958","is_oa":true,"landing_page_url":"https://doi.org/10.1080/23249935.2019.1692958","pdf_url":null,"source":{"id":"https://openalex.org/S4210177949","display_name":"Transportmetrica A Transport Science","issn_l":"2324-9935","issn":["2324-9935","2324-9943"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transportmetrica A: Transport Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5378999710083008},{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5142999887466431}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W596161622","https://openalex.org/W599682178","https://openalex.org/W1489372080","https://openalex.org/W1843919097","https://openalex.org/W1964581121","https://openalex.org/W1967245676","https://openalex.org/W1981227612","https://openalex.org/W1987228002","https://openalex.org/W1993264974","https://openalex.org/W2004054578","https://openalex.org/W2005373203","https://openalex.org/W2012718448","https://openalex.org/W2068397294","https://openalex.org/W2068897450","https://openalex.org/W2077220030","https://openalex.org/W2095967800","https://openalex.org/W2097571405","https://openalex.org/W2103080177","https://openalex.org/W2109405343","https://openalex.org/W2113687967","https://openalex.org/W2133649345","https://openalex.org/W2146304559","https://openalex.org/W2253159936","https://openalex.org/W2472278586","https://openalex.org/W2474593941","https://openalex.org/W2563879521","https://openalex.org/W2623249748","https://openalex.org/W2800911426","https://openalex.org/W4237581886"],"related_works":["https://openalex.org/W2782282582","https://openalex.org/W2783110356","https://openalex.org/W4390838873","https://openalex.org/W1589810170","https://openalex.org/W4386597418","https://openalex.org/W2622689325","https://openalex.org/W4387396681","https://openalex.org/W2990341776","https://openalex.org/W4402546686","https://openalex.org/W2995845324"],"abstract_inverted_index":{"In":[0,31,92],"order":[1,66,93],"to":[2,62,94,142],"provide":[3,63,95],"optimal":[4,65],"choice":[5],"of":[6,28,34,46,67,72,89,101],"activity":[7,15],"locations":[8],"and":[9,25,127],"travel":[10,78,87,116,144],"time":[11,88,117,145],"reduction,":[12],"a":[13,43,59,110],"daily":[14],"chain":[16],"optimization":[17,36,82,103,139],"method":[18,55],"has":[19],"been":[20],"elaborated,":[21],"which":[22],"includes":[23],"temporal":[24],"spatial":[26],"flexibility":[27],"the":[29,32,35,47,70,73,86,90,99,102,138],"activities.":[30],"course":[33],"process,":[37],"possible":[38],"alternatives":[39],"are":[40],"searched":[41],"using":[42,114],"modified":[44],"version":[45],"Traveling":[48],"Salesman":[49],"Problem":[50],"with":[51,58,131],"Time":[52],"Window.":[53],"The":[54,80,133],"is":[56,140],"extended":[57],"genetic":[60],"algorithm":[61],"an":[64],"activities":[68],"as":[69],"minimum":[71],"predefined":[74],"cost":[75],"function":[76],"(i.e.":[77],"time).":[79],"multiobjective":[81],"can":[83],"efficiently":[84],"mitigate":[85],"users.":[91],"some":[96],"insight":[97],"regarding":[98],"performance":[100],"algorithm,":[104],"application-oriented":[105],"simulations":[106],"were":[107,122],"performed":[108],"on":[109],"real-world":[111],"transportation":[112,120],"network":[113],"real":[115],"information.":[118],"Three":[119],"modes":[121],"considered:":[123],"car,":[124],"public":[125],"transport,":[126],"combined":[128],"(public":[129],"transport":[130],"car-sharing).":[132],"simulation":[134],"results":[135],"demonstrate":[136],"that":[137],"able":[141],"reduce":[143],"by":[146],"20\u201330%.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2019-12-05T00:00:00"}