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Titel:

Estimation of a Long-Distance Travel Demand Model using Trip Surveys, Location-Based Big Data, and Trip Planning Services 2018-06

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Llorca, Carlos; Molloy, Joseph; Ji, Joanna; Moeckel, Rolf
Abstract:
Long-distance trips are less frequent than short-distance urban trips, but contribute significantly to the total distance traveled, and thus to congestion and transport-related emissions. This paper develops a long-distance travel demand model for the province of Ontario, Canada. In this paper, long-distance demand includes non-recurrent overnight trips and daytrips longer than 40 km, as defined by the Travel Survey for Residents in Canada (TSRC). We developed a microscopic discrete choice model...     »
Zeitschriftentitel:
Transportation Research Record: Journal of the Transportation Research Board
Jahr:
2018
Band / Volume:
2672
Jahr / Monat:
2018-06
Quartal:
2. Quartal
Monat:
Jun
Heft / Issue:
47
Seitenangaben Beitrag:
103-113
Sprache:
en
Volltext / DOI:
doi:10.1177/0361198118777064
WWW:
https://www.researchgate.net/publication/325926239_Estimation_of_a_Long-Distance_Travel_Demand_Model_using_Trip_Surveys_Location-Based_Big_Data_and_Trip_Planning_Services
Verlag / Institution:
SAGE Publications
E-ISSN:
0361-19812169-4052
Publikationsdatum:
21.06.2018
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