{"id":"https://openalex.org/W63289748","doi":null,"title":"TRIP GENERATION BY CROSS-CLASSIFICATION: AN ALTERNATIVE METHODOLOGY.","display_name":"TRIP GENERATION BY CROSS-CLASSIFICATION: AN ALTERNATIVE METHODOLOGY.","publication_year":1983,"publication_date":"1983-01-01","ids":{"openalex":"https://openalex.org/W63289748","mag":"63289748"},"language":"en","primary_location":{"id":"mag:63289748","doi":null,"is_oa":false,"landing_page_url":"http://pubsindex.trb.org/view.aspx?id=209624","pdf_url":null,"source":{"id":"https://openalex.org/S145575934","display_name":"Transportation Research Record Journal of the Transportation Research Board","issn_l":"0361-1981","issn":["0361-1981","2169-4052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","dongbi-b","jufo-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Transportation Research Record Journal of the Transportation Research Board","raw_type":null},"volume":null,"type":"article","indexed_in":[],"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/A5011836350","display_name":"Peter Stopher","orcid":"https://orcid.org/0000-0002-0117-4024","observed_orcids":["https://orcid.org/0000-0002-0117-4024"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Stopher","raw_affiliation_strings":["Schimpeler, Corradino Associates"],"raw_orcid":"https://orcid.org/0000-0002-0117-4024","affiliations":[{"raw_affiliation_string":"Schimpeler, Corradino Associates","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042167625","display_name":"Kathie G McDonald","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kathie G McDonald","raw_affiliation_strings":["Schimpeler, Corradino Associates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Schimpeler, Corradino Associates","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3650,"currency":"USD","value_usd":3650},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.00488906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":"944","first_page":"84","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9639000296592712,"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":0.9639000296592712,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.003599999938160181,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.002899999963119626,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"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/trip-generation","display_name":"trip generation","score":0.9259999990463257},{"id":"https://openalex.org/keywords/cross-classification","display_name":"cross-classification","score":0.8389999866485596},{"id":"https://openalex.org/keywords/multiple-classification-analysis","display_name":"multiple classification analysis","score":0.996999979019165},{"id":"https://openalex.org/keywords/model-calibration","display_name":"model calibration","score":0.7480000257492065},{"id":"https://openalex.org/keywords/trip-rates","display_name":"trip rates","score":0.847000002861023},{"id":"https://openalex.org/keywords/household-size","display_name":"household size","score":0.6299999952316284},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.7149999737739563},{"id":"https://openalex.org/keywords/interaction-corrections","display_name":"interaction corrections","score":0.5440000295639038},{"id":"https://openalex.org/keywords/small-sample-size-problem","display_name":"small sample size problem","score":0.6159999966621399},{"id":"https://openalex.org/keywords/empty-cells","display_name":"empty cells","score":0.6169999837875366},{"id":"https://openalex.org/keywords/transportation-planning","display_name":"transportation planning","score":0.4169999957084656}],"concepts":[{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.658851683139801},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6498136520385742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5517510771751404},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.5343883037567139},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.525061309337616},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4746440351009369},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4529496729373932},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.422811359167099},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4030105471611023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30111613869667053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27448391914367676},{"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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:63289748","doi":null,"is_oa":false,"landing_page_url":"http://pubsindex.trb.org/view.aspx?id=209624","pdf_url":null,"source":{"id":"https://openalex.org/S145575934","display_name":"Transportation Research Record Journal of the Transportation Research Board","issn_l":"0361-1981","issn":["0361-1981","2169-4052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","dongbi-b","jufo-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Transportation Research Record Journal of the Transportation Research Board","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7300000190734863}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2032481652","https://openalex.org/W613232949","https://openalex.org/W642620000","https://openalex.org/W2050308295","https://openalex.org/W2575823645","https://openalex.org/W2069602842","https://openalex.org/W139817484","https://openalex.org/W2043082439","https://openalex.org/W620935800","https://openalex.org/W2155613836"],"abstract_inverted_index":{"An":[0],"alternative":[1,75,109,113],"methodology":[2,331],"for":[3,24,106,129,148,278,294,332],"calibrating":[4],"cross-classification":[5,54,130,333],"models,":[6,76],"namely":[7],"multiple":[8],"classification":[9],"analysis":[10,97],"(MCA),":[11],"is":[12,60,94,182,204,213,226,234,243,280,283,324,339],"described.":[13],"This":[14],"technique,":[15],"which":[16,101,194,202],"has":[17],"been":[18,32],"available":[19],"in":[20,34,84,88,153,193,312,320,341],"the":[21,48,92,116,137,141,154,177,191,199,210,216,219,239,256,267,286,313,337,345],"social":[22],"sciences":[23],"some":[25,295,306,321],"time,":[26],"does":[27],"not":[28],"appear":[29],"to":[30,41,44,71,81,159,201,208,260,291],"have":[31],"used":[33],"Transportation":[35],"planning":[36],"before,":[37],"although":[38],"it":[39],"appears":[40],"be":[42,292],"able":[43],"overcome":[45],"most":[46,343],"of":[47,67,79,98,115,118,140,169,176,221,224,258,266,270,300,344,347,350],"disadvantages":[49],"normally":[50],"associated":[51],"with":[52,126,184],"standard":[53,127],"calibration":[55],"techniques.":[56],"The":[57,167],"MCA":[58,259,274,287,304,327],"procedure":[59,105,269,338],"described":[61],"briefly,":[62],"and":[63,77,112,156,173,198,228,248,302,335],"its":[64],"merits--in":[65],"terms":[66],"statistical":[68,205],"assessment,":[69],"ability":[70],"permit":[72],"comparisons":[73],"among":[74,108],"lack":[78],"susceptibility":[80],"small":[82,317],"samples":[83,150],"individual":[85],"cells--are":[86],"discussed":[87],"detail.":[89],"In":[90,188,215],"addition,":[91],"method":[93,315],"based":[95],"on":[96],"variance":[99],"(ANOVA),":[100],"provides":[102,328],"a":[103,145,185,230,273,329],"structured":[104],"choosing":[107],"independent":[110,120,171],"variables":[111,172,179,225],"groupings":[114,175],"values":[117,134],"each":[119],"variable.":[121],"These":[122],"procedures":[123,128],"are":[124,157,298],"contrasted":[125],"that":[131,151,236,238,245,276,285,297,303,310,326,336],"estimate":[132],"cell":[133,155],"by":[135,180],"obtaining":[136],"average":[138],"value":[139],"dependent":[142],"variable":[143],"(e.g.,":[144],"trip":[146,262,289],"rate)":[147],"those":[149],"fall":[152],"unable":[158],"use":[160,257],"any":[161,164],"information":[162,206],"from":[163,316],"other":[165],"cell.":[166],"process":[168,196],"selecting":[170,174],"chosen":[178],"ANOVA":[181],"illustrated":[183],"case":[186,217,253],"study.":[187],"this":[189,195],"study":[190,218,254],"way":[192],"works,":[197],"degree":[200],"there":[203],"provided":[207],"guide":[209],"analyst's":[211],"judgment,":[212],"shown.":[214],"confirmation":[220],"intuitive":[222],"selections":[223],"noted,":[227],"also":[229],"more":[231],"surprising":[232],"result":[233],"produced":[235],"shows":[237],"best":[240],"household":[241],"grouping":[242],"one":[244],"combines":[246],"two-":[247],"three-person":[249],"households.":[250],"A":[251,264],"second":[252],"illustrates":[255],"calculate":[261],"rates.":[263],"comparison":[265],"conventional":[268,314,348],"cell-by-cell":[271],"averaging,":[272],"design":[275],"corrects":[277],"interactions":[279],"given.":[281],"It":[282,323],"shown":[284],"allows":[288],"rates":[290,309],"computed":[293],"cells":[296],"empty":[299],"data,":[301],"removes":[305],"possibly":[307],"spurious":[308],"arise":[311],"sample":[318],"problems":[319],"cells.":[322],"concluded":[325],"strong":[330],"modeling":[334],"effective":[340],"surmounting":[342],"drawbacks":[346],"estimation":[349],"such":[351],"models.":[352],"(Author)":[353]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2016-06-24T00:00:00"}