{"id":"https://openalex.org/W2903021991","doi":"https://doi.org/10.3233/jifs-181701","title":"An integrated pricing/planning strategy to optimize passenger rail service with uncertain demand","display_name":"An integrated pricing/planning strategy to optimize passenger rail service with uncertain demand","publication_year":2018,"publication_date":"2018-11-28","ids":{"openalex":"https://openalex.org/W2903021991","doi":"https://doi.org/10.3233/jifs-181701","mag":"2903021991"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-181701","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-181701","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5037335978","display_name":"Xiaoqiang Zhang","orcid":"https://orcid.org/0000-0001-5340-7697"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqiang Zhang","raw_affiliation_strings":["National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Chengdu, P.R. China","Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, P.R. China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Chengdu, P.R. China","institution_ids":[]},{"raw_affiliation_string":"Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, P.R. China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102000592","display_name":"Lin Li","orcid":"https://orcid.org/0000-0001-6913-9703"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Chengdu, P.R. China","Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, P.R. China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Chengdu, P.R. China","institution_ids":[]},{"raw_affiliation_string":"Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, P.R. China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087405213","display_name":"Scott Le Vine","orcid":"https://orcid.org/0000-0003-1455-5640"},"institutions":[{"id":"https://openalex.org/I157455823","display_name":"SUNY New Paltz","ror":"https://ror.org/03j3dv688","country_code":"US","type":"education","lineage":["https://openalex.org/I157455823"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Le Vine","raw_affiliation_strings":["Department of Geography, State University of New York (SUNY) at New Paltz, New Paltz, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography, State University of New York (SUNY) at New Paltz, New Paltz, NY, USA","institution_ids":["https://openalex.org/I157455823"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064480394","display_name":"Xiaobo Liu","orcid":"https://orcid.org/0000-0001-5722-4943"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Liu","raw_affiliation_strings":["National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Chengdu, P.R. China","Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, P.R. China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Chengdu, P.R. China","institution_ids":[]},{"raw_affiliation_string":"Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, P.R. China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037335978"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":1.8351,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87542779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"36","issue":"1","first_page":"435","last_page":"448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998000264167786,"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":0.9998000264167786,"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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9997000098228455,"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/T11599","display_name":"Aviation Industry Analysis and Trends","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/profit-maximization","display_name":"Profit maximization","score":0.699518084526062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6049834489822388},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.5657626986503601},{"id":"https://openalex.org/keywords/ticket","display_name":"Ticket","score":0.540807843208313},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.48997679352760315},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.4898662269115448},{"id":"https://openalex.org/keywords/dynamic-pricing","display_name":"Dynamic pricing","score":0.4719140827655792},{"id":"https://openalex.org/keywords/revenue-management","display_name":"Revenue management","score":0.44171205163002014},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.4361163377761841},{"id":"https://openalex.org/keywords/lyapunov-optimization","display_name":"Lyapunov optimization","score":0.42544180154800415},{"id":"https://openalex.org/keywords/price-elasticity-of-demand","display_name":"Price elasticity of demand","score":0.4203372299671173},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3765508234500885},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3347589373588562},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.26596128940582275},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.20768967270851135},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.10963153839111328},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09501656889915466}],"concepts":[{"id":"https://openalex.org/C2777780509","wikidata":"https://www.wikidata.org/wiki/Q1377422","display_name":"Profit maximization","level":3,"score":0.699518084526062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6049834489822388},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.5657626986503601},{"id":"https://openalex.org/C2776540713","wikidata":"https://www.wikidata.org/wiki/Q7800647","display_name":"Ticket","level":2,"score":0.540807843208313},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.48997679352760315},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.4898662269115448},{"id":"https://openalex.org/C2779391423","wikidata":"https://www.wikidata.org/wiki/Q17009728","display_name":"Dynamic pricing","level":2,"score":0.4719140827655792},{"id":"https://openalex.org/C2781386248","wikidata":"https://www.wikidata.org/wiki/Q11898700","display_name":"Revenue management","level":3,"score":0.44171205163002014},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.4361163377761841},{"id":"https://openalex.org/C101403955","wikidata":"https://www.wikidata.org/wiki/Q6707083","display_name":"Lyapunov optimization","level":5,"score":0.42544180154800415},{"id":"https://openalex.org/C51355593","wikidata":"https://www.wikidata.org/wiki/Q3194154","display_name":"Price elasticity of demand","level":2,"score":0.4203372299671173},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3765508234500885},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3347589373588562},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.26596128940582275},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.20768967270851135},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.10963153839111328},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09501656889915466},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C191544260","wikidata":"https://www.wikidata.org/wiki/Q1238630","display_name":"Lyapunov exponent","level":3,"score":0.0},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.0},{"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/C37935115","wikidata":"https://www.wikidata.org/wiki/Q6707085","display_name":"Lyapunov redesign","level":4,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-181701","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-181701","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W118989502","https://openalex.org/W1800397623","https://openalex.org/W1875148622","https://openalex.org/W1973498425","https://openalex.org/W1975645372","https://openalex.org/W1976868141","https://openalex.org/W1988576693","https://openalex.org/W2007450520","https://openalex.org/W2010674343","https://openalex.org/W2022360650","https://openalex.org/W2025842679","https://openalex.org/W2034600398","https://openalex.org/W2038007012","https://openalex.org/W2038172179","https://openalex.org/W2055639322","https://openalex.org/W2106867842","https://openalex.org/W2107451525","https://openalex.org/W2113131539","https://openalex.org/W2124378676","https://openalex.org/W2125835969","https://openalex.org/W2137152139","https://openalex.org/W2144195948","https://openalex.org/W2156161211","https://openalex.org/W2168097082","https://openalex.org/W2177922288","https://openalex.org/W2183843206","https://openalex.org/W2199511439","https://openalex.org/W2295405623","https://openalex.org/W2316131102","https://openalex.org/W2344244937","https://openalex.org/W2378665675","https://openalex.org/W2400453077","https://openalex.org/W2582920180","https://openalex.org/W2770326419","https://openalex.org/W2782677147","https://openalex.org/W2791609897","https://openalex.org/W2811260137","https://openalex.org/W2842626007","https://openalex.org/W3103982343","https://openalex.org/W3121741139","https://openalex.org/W4301852635"],"related_works":["https://openalex.org/W2895891960","https://openalex.org/W1997881597","https://openalex.org/W2740158290","https://openalex.org/W2029598999","https://openalex.org/W3167448713","https://openalex.org/W4238832093","https://openalex.org/W4213334555","https://openalex.org/W3080217888","https://openalex.org/W2761695574","https://openalex.org/W2950385751"],"abstract_inverted_index":{"The":[0,46,73,105,119,153],"market-oriented":[1],"rail":[2,18,83],"operation":[3],"planning":[4],"and":[5,15,35,70,86,129,150],"pricing":[6],"are":[7,42],"two":[8,60],"key":[9],"issues":[10,37],"to":[11,52,93,107,124,165],"enhance":[12],"the":[13,23,40,82,94,101,109,137,143,147,161,167,170],"competitiveness":[14],"attractiveness":[16],"of":[17,22,28,48,96,103,136,169],"sector.":[19],"A":[20],"limitation":[21],"state-of-the-art":[24],"in":[25,67],"this":[26,49],"area":[27],"research":[29],"is":[30,51,114,122,158],"that":[31,57],"supply-side":[32],"(operation":[33],"planning)":[34],"demand-side":[36],"(affected":[38],"by":[39,81,90],"pricing)":[41],"generally":[43],"considered":[44],"separately.":[45],"contribution":[47],"paper":[50],"propose":[53],"a":[54,126],"revenue-maximization":[55],"model":[56,74],"integrates":[58],"these":[59],"dimensions,":[61],"based":[62,115],"on":[63,116],"dynamic":[64],"ticket-pricing,":[65],"elasticity":[66],"passenger":[68],"demand,":[69],"flexible":[71],"dispatching.":[72],"considers":[75],"both":[76],"operating":[77],"costs":[78,87],"directly":[79],"borne":[80],"service":[84],"operator":[85],"indirectly":[88],"incurred":[89],"passengers":[91],"due":[92],"disutility":[95],"unproductive":[97],"travel":[98],"time":[99],"(i.e.":[100],"value":[102],"time).":[104],"strategy":[106,113],"identify":[108],"profit-maximizing":[110],"joint":[111],"pricing/dispatching":[112],"Lyapunov":[117,120],"optimization.":[118],"optimization":[121,148],"applied":[123],"obtain":[125],"fully":[127],"distributed":[128],"low-complexity":[130],"multi-slot":[131],"algorithm":[132],"only":[133],"requiring":[134],"knowledge":[135],"instantaneous":[138],"system":[139],"state.":[140],"We":[141],"prove":[142],"explicit":[144],"trade-off":[145],"between":[146],"objective":[149],"queue":[151],"backlog.":[152],"Guangzhou-Shenzhen":[154],"railway":[155],"(Guangdong,":[156],"China)":[157],"employed":[159],"as":[160],"empirical":[162],"case":[163],"study,":[164],"expose":[166],"properties":[168],"proposed":[171],"model.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
