{"id":"https://openalex.org/W238949759","doi":null,"title":"DEVELOPMENT OF A MODEL FOR FORECASTING TRAVEL MODE CHOICE IN URBAN AREAS","display_name":"DEVELOPMENT OF A MODEL FOR FORECASTING TRAVEL MODE CHOICE IN URBAN AREAS","publication_year":1963,"publication_date":"1963-01-01","ids":{"openalex":"https://openalex.org/W238949759","mag":"238949759"},"language":"en","primary_location":{"id":"pmh:oai:quod.lib.umich.edu:MIU01-102614457","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2027/uc1.c101987615","pdf_url":null,"source":{"id":"https://openalex.org/S7407064297","display_name":"University of Michigan Library Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2027/uc1.c101987615","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062977273","display_name":"D Hill","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D Hill","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023972460","display_name":"H. G. von Cube","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. G. von Cube","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":10.7333,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.94867807,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":"38","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9980000257492065,"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":0.9980000257492065,"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":0.0006000000284984708,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.0006000000284984708,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mode-choice","display_name":"mode choice","score":0.9879999756813049},{"id":"https://openalex.org/keywords/modal-split","display_name":"modal split","score":0.9240000247955322},{"id":"https://openalex.org/keywords/travel-demand-forecasting","display_name":"travel demand forecasting","score":0.7860000133514404},{"id":"https://openalex.org/keywords/urban-travel-behavior","display_name":"urban travel behavior","score":0.5270000100135803},{"id":"https://openalex.org/keywords/commuting-trips","display_name":"commuting trips","score":0.5860000252723694},{"id":"https://openalex.org/keywords/travel-time","display_name":"travel time","score":0.7609999775886536},{"id":"https://openalex.org/keywords/travel-cost","display_name":"travel cost","score":0.8550000190734863},{"id":"https://openalex.org/keywords/service-quality","display_name":"service quality","score":0.6650000214576721},{"id":"https://openalex.org/keywords/income","display_name":"income","score":0.828000009059906},{"id":"https://openalex.org/keywords/philadelphia","display_name":"Philadelphia","score":0.49799999594688416},{"id":"https://openalex.org/keywords/washington-d-c","display_name":"Washington, D.C.","score":0.9020000100135803},{"id":"https://openalex.org/keywords/toronto","display_name":"Toronto","score":1.0}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7074249982833862},{"id":"https://openalex.org/C2776017872","wikidata":"https://www.wikidata.org/wiki/Q3226683","display_name":"Mode choice","level":3,"score":0.6983368992805481},{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.6459327936172485},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5835964679718018},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5809279084205627},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5496051907539368},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5123461484909058},{"id":"https://openalex.org/C144072006","wikidata":"https://www.wikidata.org/wiki/Q4462116","display_name":"Travel behavior","level":2,"score":0.4737299978733063},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47136202454566956},{"id":"https://openalex.org/C2778384698","wikidata":"https://www.wikidata.org/wiki/Q7835961","display_name":"Travel survey","level":3,"score":0.4511158764362335},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45083367824554443},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3777359127998352},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36405813694000244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35274070501327515},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.34908294677734375},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.28415507078170776},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.2676658630371094},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26051878929138184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22097450494766235},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0744560956954956},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:quod.lib.umich.edu:MIU01-102614457","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2027/uc1.c101987615","pdf_url":null,"source":{"id":"https://openalex.org/S7407064297","display_name":"University of Michigan Library Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:238949759","doi":null,"is_oa":false,"landing_page_url":"https://trid.trb.org/view/134122","pdf_url":null,"source":{"id":"https://openalex.org/S2764581635","display_name":"Highway Research Record","issn_l":"0073-2206","issn":["0073-2206"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4320800788","host_organization_name":"National Research Council","host_organization_lineage":["https://openalex.org/P4320800788"],"host_organization_lineage_names":["National Research Council"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Highway Research Record","raw_type":null}],"best_oa_location":{"id":"pmh:oai:quod.lib.umich.edu:MIU01-102614457","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2027/uc1.c101987615","pdf_url":null,"source":{"id":"https://openalex.org/S7407064297","display_name":"University of Michigan Library Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.8787999749183655,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W573062959","https://openalex.org/W2047758897","https://openalex.org/W773811076","https://openalex.org/W606862257","https://openalex.org/W2577439818","https://openalex.org/W604893170","https://openalex.org/W2243273682","https://openalex.org/W2967122929","https://openalex.org/W1967954342","https://openalex.org/W2166106179"],"abstract_inverted_index":{"BASED":[0],"ON":[1,95],"COMPARISONS":[2],"OF":[3,7,77,92,114],"FACTORS":[4],"DETERMINING":[5],"CHOICE":[6,17],"TRAVEL":[8,15,68,143],"MODE,":[9],"IT":[10,71],"MAY":[11,107],"BE":[12,83],"CONCLUDED":[13],"THAT":[14,74],"MODE":[16],"BEHAVIOR":[18],"FOR":[19,51,67,80],"TRIPS":[20],"TO":[21,25,85,137],"WORK,":[22],"AS":[23],"RELATED":[24],"THE":[26,88,93,96,100,105,112,130,133],"FOUR":[27],"BASIC":[28],"FACTORS,":[29],"TIME,":[30],"COSTS,":[31],"SERVICE":[32],"AND":[33,39,45,54,63,90,121],"INCOME,":[34],"IS":[35,40,64,72],"STABLE":[36],"OVER":[37],"TIME":[38],"SIMILAR":[41],"IN":[42,142],"PHILADELPHIA,":[43],"WASHINGTON":[44],"TORONTO.":[46],"MODAL":[47,139],"SPLIT":[48,140],"RELATIONSHIPS":[49,116,141],"DERIVED":[50],"WASHINGTON,":[52],"PHILADELPHIA":[53],"TORONTO":[55],"HAVE":[56],"DEMONSTRATED":[57],"STATISTICAL":[58],"SIMILARITY":[59],"BY":[60,109],"COMPARATIVE":[61,122],"ANALYSES,":[62],"BEING":[65],"USED":[66],"MOVEMENT":[69,144],"FORECASTING.":[70,145],"RECOMMENDED":[73],"SOME":[75],"ANALYSIS":[76],"SURVEY":[78,119],"DATA":[79,120,127],"A":[81],"CITY":[82,126],"CONDUCTED":[84],"DETERMINE":[86],"PRECISELY":[87],"INTERCEPTS":[89,106],"POSITIONING":[91],"CURVES":[94],"USAGE":[97],"SCALE.":[98],"ALTHOUGH":[99],"SLOPES":[101],"SHOULD":[102],"GENERALLY":[103],"AGREE,":[104],"DISAGREE":[108],"TEN":[110],"PERCENT.":[111],"DERIVATION":[113],"NEW":[115],"FROM":[117],"SAMPLE":[118],"ANALYSES":[123],"WITH":[124],"OTHER":[125],"WILL":[128],"GIVE":[129],"TRANSPORTATION":[131],"PLANNER":[132],"ASSURANCE":[134],"HE":[135],"REQUIRES":[136],"APPLY":[138]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
