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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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | 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 |
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