Selective modeling method of all-day multi-mode trip chain based on Nested Logit model
The invention discloses an all-day multi-mode trip chain selection modeling method based on a Nested Logit model. The method comprises six steps of passenger all-day trip data acquisition, passenger family identity information acquisition, all-day trip chain classification, trip mode selection set r...
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| creator | BAI HUA LOU BIXIA CHEN SHIJIA SONG YUCHEN LI DAWEI ZHU ZHIBANG ZHOU TAO |
| description | The invention discloses an all-day multi-mode trip chain selection modeling method based on a Nested Logit model. The method comprises six steps of passenger all-day trip data acquisition, passenger family identity information acquisition, all-day trip chain classification, trip mode selection set restriction value setting, passenger selection trip mode influence factor judgment and all-day trip chain generation. According to the method, the influence of an overlarge number of selection sets on individual selection errors is reduced by collecting one-day complete travel data and personal social economic attributes of passengers, analyzing all-day travel features of the passengers, performing discrete selection modeling analysis on all-day travel chain selection preferences of the passengers and adopting an implicit selection set generation method; according to the method, a selection set generation mode is obtained, the selection set generation mode is embedded into a traditional Nested Logit model, influence |
| format | Patent |
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The method comprises six steps of passenger all-day trip data acquisition, passenger family identity information acquisition, all-day trip chain classification, trip mode selection set restriction value setting, passenger selection trip mode influence factor judgment and all-day trip chain generation. According to the method, the influence of an overlarge number of selection sets on individual selection errors is reduced by collecting one-day complete travel data and personal social economic attributes of passengers, analyzing all-day travel features of the passengers, performing discrete selection modeling analysis on all-day travel chain selection preferences of the passengers and adopting an implicit selection set generation method; according to the method, a selection set generation mode is obtained, the selection set generation mode is embedded into a traditional Nested Logit model, influence</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220426&DB=EPODOC&CC=CN&NR=114399090A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220426&DB=EPODOC&CC=CN&NR=114399090A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>BAI HUA</creatorcontrib><creatorcontrib>LOU BIXIA</creatorcontrib><creatorcontrib>CHEN SHIJIA</creatorcontrib><creatorcontrib>SONG YUCHEN</creatorcontrib><creatorcontrib>LI DAWEI</creatorcontrib><creatorcontrib>ZHU ZHIBANG</creatorcontrib><creatorcontrib>ZHOU TAO</creatorcontrib><title>Selective modeling method of all-day multi-mode trip chain based on Nested Logit model</title><description>The invention discloses an all-day multi-mode trip chain selection modeling method based on a Nested Logit model. 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The method comprises six steps of passenger all-day trip data acquisition, passenger family identity information acquisition, all-day trip chain classification, trip mode selection set restriction value setting, passenger selection trip mode influence factor judgment and all-day trip chain generation. According to the method, the influence of an overlarge number of selection sets on individual selection errors is reduced by collecting one-day complete travel data and personal social economic attributes of passengers, analyzing all-day travel features of the passengers, performing discrete selection modeling analysis on all-day travel chain selection preferences of the passengers and adopting an implicit selection set generation method; according to the method, a selection set generation mode is obtained, the selection set generation mode is embedded into a traditional Nested Logit model, influence</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Selective modeling method of all-day multi-mode trip chain based on Nested Logit model |
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