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Using 5 parallel passive data streams to report on a wide range of mobility options

Catherine Morency, Martin Trépanier, Nicolas Saunier, Hubert Verreault and Jean-Simon Bourdeau

Paper (2017)

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Abstract

Montreal welcomes a variety of transportation options: transit, carsharing, bikesharing, taxi, etc. In the recent years, the “new” alternatives have gained market shares and it has become critical to understand the role each mode plays in the daily mobility of people as well as their interactions. This paper presents an analysis process of passive data streams and a typology of typical days of usage of these modes using clustering techniques. It shows that the most important attributes determining the type of multimodal usage day are type of day (working / non-working), temperature, fuel price and precipitations.

Uncontrolled Keywords

transportation options; passive data streams; interaction; clustering; modal share

Subjects: 1000 Civil engineering > 1003 Transportation engineering
Department: Department of Mathematics and Industrial Engineering
Department of Civil, Geological and Mining Engineering
Research Center: CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation
Funders: Chaires de recherche du Canada/Canada Research Chairs
PolyPublie URL: https://publications.polymtl.ca/5035/
Conference Title: 11th International Conference on Transport Survey Methods
Conference Location: Estérel, Québec
Conference Date(s): 2017-09-24 - 2017-09-29
Journal Title: Transportation Research Procedia (vol. 32)
Publisher: Elsevier
DOI: 10.1016/j.trpro.2018.10.014
Official URL: https://doi.org/10.1016/j.trpro.2018.10.014
Date Deposited: 23 Feb 2023 13:26
Last Modified: 28 Sep 2024 10:20
Cite in APA 7: Morency, C., Trépanier, M., Saunier, N., Verreault, H., & Bourdeau, J.-S. (2017, September). Using 5 parallel passive data streams to report on a wide range of mobility options [Paper]. 11th International Conference on Transport Survey Methods, Estérel, Québec (11 pages). Published in Transportation Research Procedia, 32. https://doi.org/10.1016/j.trpro.2018.10.014

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