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

Carlos Llorca, Joanna Ji, Joseph Molloy and Rolf Moeckel

Research in Transportation Economics, 2018, vol. 72, issue C, 27-36

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 implementation of a new high speed rail corridor.

Keywords: Travel demand model; Long-distance travel; High-speed rail; Location-based social network; Online trip planning (search for similar items in EconPapers)
JEL-codes: R41 R42 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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DOI: 10.1016/j.retrec.2018.06.004

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