This document consists of13 papers that explore tour-based models of public transport use; out-of-home leisure activity choices; automated inference of linked transit journeys; service-related traffic demand; and the value of business travel time savings. This issue of the TRR also examines origin-destination matrices; day-to-day origin-destination tuples; nested logit models with censored data; multiagent transport simulations; reliable short-term traffic flow forecasting; household vehicle type choice models; daily activity generation and time use models; and user preferences for toll pricing.


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    Titel :

    Travel Demand Forecasting 2013, Volume 1. Transportation Research Record: Journal of the Transportation Research Board, No. 2343


    Erscheinungsdatum :

    2013


    Format / Umfang :

    126 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch