{"id":"https://openalex.org/W3018970529","doi":"https://doi.org/10.1201/9780429334979-4","title":"State Motor Fuel Forecasting Model:","display_name":"State Motor Fuel Forecasting Model:","publication_year":2020,"publication_date":"2020-04-22","ids":{"openalex":"https://openalex.org/W3018970529","doi":"https://doi.org/10.1201/9780429334979-4","mag":"3018970529"},"language":"en","primary_location":{"id":"doi:10.1201/9780429334979-4","doi":"https://doi.org/10.1201/9780429334979-4","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9780429334979-4","pdf_url":null,"source":{"id":"https://openalex.org/S4306463855","display_name":"Routledge eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Routledge","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Forecasting for Planners:","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W1536068404","display_name":"Energy Forecasting for Planners:"},"type":"book-chapter","is_traditional":true,"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/A5017460691","display_name":"W. Patrick Beaton","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"W. Patrick Beaton","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001638304","display_name":"Jon H. Weyland","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jon H. Weyland","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088923900","display_name":"Nancy C. Neuman","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nancy C. Neuman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002222418","display_name":"William R. Dolphin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"William R. Dolphin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5055969110","display_name":"Joseph Garlick","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joseph Garlick","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07228315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"69","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12617","display_name":"Energy, Environment, and Transportation Policies","score":0.8960000276565552,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12617","display_name":"Energy, Environment, and Transportation Policies","score":0.8960000276565552,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.09889999777078629,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.0031999999191612005,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gasoline-consumption","display_name":"gasoline consumption","score":0.6790000200271606},{"id":"https://openalex.org/keywords/travel-behavior","display_name":"travel behavior","score":0.6980000138282776},{"id":"https://openalex.org/keywords/socioeconomic-indicators","display_name":"socioeconomic indicators","score":0.7279999852180481},{"id":"https://openalex.org/keywords/employment-and-unemployment","display_name":"employment and unemployment","score":0.7860000133514404},{"id":"https://openalex.org/keywords/business-activity","display_name":"business activity","score":0.8130000233650208}],"concepts":[{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5268394351005554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4423716068267822},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3639049232006073},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2791309952735901},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0914246141910553}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/9780429334979-4","doi":"https://doi.org/10.1201/9780429334979-4","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9780429334979-4","pdf_url":null,"source":{"id":"https://openalex.org/S4306463855","display_name":"Routledge eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Routledge","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Forecasting for Planners:","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W1480236727"],"related_works":["https://openalex.org/W3018248682","https://openalex.org/W3020204126","https://openalex.org/W3017755963","https://openalex.org/W4232469587","https://openalex.org/W642331603","https://openalex.org/W631763945","https://openalex.org/W6996329703","https://openalex.org/W2314538091","https://openalex.org/W2247534338","https://openalex.org/W2104365236"],"abstract_inverted_index":{"All":[0],"forecasting":[1,15,34],"models":[2],"have":[3],"two":[4],"separate":[5],"modes":[6],"of":[7,23,28,45,58,70,86,135],"operation:":[8],"the":[9,14,21,24,29,38,43,51,56,67,87,92,107,111,120,126,129],"historical":[10,25],"estimation":[11,26],"mode":[12],"and":[13,96,137,151],"mode.":[16],"This":[17],"chapter":[18,65],"focuses":[19],"upon":[20],"development":[22],"component":[27],"CUPR":[30],"annual":[31],"indirect":[32],"gasoline":[33],"model.":[35],"It":[36,82],"describes":[37],"procedures":[39],"used":[40,53,89,117],"to":[41,54,90,102,118],"develop":[42],"set":[44],"travel":[46,62,74,104,121],"determinants,":[47],"as":[48,50,140,142,147],"well":[49,141],"methods":[52],"estimate":[55],"strength":[57],"their":[59],"influence":[60],"over":[61],"behavior.":[63],"The":[64,115],"examines":[66],"various":[68,93],"types":[69],"energy":[71],"consumption":[72],"or":[73],"behavior":[75,105,122],"data":[76],"series":[77],"available":[78],"within":[79],"each":[80],"state.":[81],"provides":[83],"an":[84],"examination":[85],"indices":[88],"specify":[91,119],"economic,":[94],"transportation,":[95],"spatial":[97],"factors":[98],"that":[99],"are":[100],"believed":[101],"affect":[103],"at":[106],"county":[108],"level":[109],"by":[110],"typical":[112],"decision":[113],"maker.":[114],"variables":[116],"model,":[123,132],"suggested":[124],"through":[125],"research":[127],"on":[128],"New":[130],"Jersey":[131],"include":[133],"indicators":[134],"price":[136],"income":[138],"effects,":[139],"aggregate":[143],"socioeconomic":[144],"characteristics":[145],"such":[146],"business":[148],"activity,":[149],"employment,":[150],"unemployment":[152],"rates.":[153]},"counts_by_year":[],"updated_date":"2026-10-10T09:11:00.788812","created_date":"2020-05-01T00:00:00"}
