Benutzer: Gast  Login
Titel:

The usage of location based big data and trip planning services for the estimation of a long-distance travel demand model. Predicting the impacts of a new high speed rail corridor

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Llorca, Carlos; Ji, Joanna; Molloy, Joseph; Moeckel, Rolf
Abstract:
Travel demand models are a useful tool to assess transportation projects. Within travel demand, long-distance trips represent a significant amount of the total vehicle-kilometers travelled, in contrast to commuting trips. Consequently, they pay a relevant role in the economic, social and environmental impacts of transportation. This paper describes the development of a microscopic long-distance travel demand model for the Province of Ontario (Canada) and analyzes the sensitivity to the implement...     »
Stichworte:
Travel demand model Long-distance travel High-speed rail Location-based social network Online trip planning
Zeitschriftentitel:
Research in Transportation Economics Volume 72, 27-36 2018-12
Jahr:
2018
Band / Volume:
72
Jahr / Monat:
2018-12
Quartal:
4. Quartal
Monat:
Dec
Seitenangaben Beitrag:
27-36
Sprache:
en
Volltext / DOI:
doi:10.1016/j.retrec.2018.06.004
WWW:
https://www.sciencedirect.com/science/article/pii/S0739885917303165
Verlag / Institution:
Elsevier BV
E-ISSN:
0739-8859
Publikationsdatum:
01.12.2018
 BibTeX