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Title:

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

Document type:
Zeitschriftenaufsatz
Author(s):
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...     »
Keywords:
Travel demand model Long-distance travel High-speed rail Location-based social network Online trip planning
Journal title:
Research in Transportation Economics Volume 72, 27-36 2018-12
Year:
2018
Journal volume:
72
Year / month:
2018-12
Quarter:
4. Quartal
Month:
Dec
Pages contribution:
27-36
Language:
en
Fulltext / DOI:
doi:10.1016/j.retrec.2018.06.004
WWW:
https://www.sciencedirect.com/science/article/pii/S0739885917303165
Publisher:
Elsevier BV
E-ISSN:
0739-8859
Date of publication:
01.12.2018
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