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A robust datawarehouse as a requirement to the increasing quantity and complexity of travel survey data

Pierre-Léo Bourbonnais and Catherine Morency

Article (2018)

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Abstract

This research proposes a travel datawarehouse using dimensional modelling for promoting a more understandable structure, generating comparable results, providing faster access to data and accelerating publication of highlights. The adaptation of dimensional modeling to travel data encourages a better structure while integrating, enriching and enhancing data. It provides automated data processing and validation. The proposal of a dimensional model for travel data follows the expected development of transportation planning tools. (C) 2018 The Authors. Published by Elsevier Ltd.

Uncontrolled Keywords

travel; survey; datawarehouse; fact; dimension; kimball; origin-destination; software; household-based; individual-based; person based; highlights; animated maps; trip;

Subjects: 1000 Civil engineering > 1000 Civil engineering
1000 Civil engineering > 1003 Transportation engineering
Department: Department of Civil, Geological and Mining Engineering
Research Center: Other
PolyPublie URL: https://publications.polymtl.ca/10610/
Journal Title: Transportation Research Procedia (vol. 32)
Publisher: Elsevier
DOI: 10.1016/j.trpro.2018.10.054
Official URL: https://doi.org/10.1016/j.trpro.2018.10.054
Date Deposited: 13 Nov 2023 08:11
Last Modified: 15 Nov 2023 05:40
Cite in APA 7: Bourbonnais, P.-L., & Morency, C. (2018). A robust datawarehouse as a requirement to the increasing quantity and complexity of travel survey data. Transportation Research Procedia, 32, 436-447. https://doi.org/10.1016/j.trpro.2018.10.054

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