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DESIGNING A DATA VISUALISATION AND ANALYSIS TOOL FOR SUPPORTING DECISION-MAKING WITH PUBLIC TRANSPORTATION NETWORK

Published online by Cambridge University Press:  27 July 2021

Flore Vallet,
Mostepha Khouadjia,
Ahmed Amrani and
Juliette Pouzet
Flore Vallet*
Affiliation:
Université Paris-Saclay, CentraleSupélec, Laboratoire Genie Industriel, FranceIRT SystemX, Paris-Saclay, France
Mostepha Khouadjia
Affiliation:
IRT SystemX, Paris-Saclay, France
Ahmed Amrani
Affiliation:
IRT SystemX, Paris-Saclay, France
Juliette Pouzet
Affiliation:
SNCF Innovation & Research, France
*
Vallet, Flore, IRT SystemX, Territoires Intelligents, France, flore.vallet@irt-systemx.fr

Abstract

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Massive data are surrounding us in our daily lives. Urban mobility generates a very high number of complex data reflecting the mobility of people, vehicles and objects. Transport operators are primary users who strive to discover the meaning of phenomena behind traffic data, aiming at regulation and transport planning. This paper tackles the question "How to design a supportive tool for visual exploration of digital mobility data to help a transport analyst in decision making?” The objective is to support an analyst to conduct an ex post analysis of train circulation and passenger flows, notably in disrupted situations. We propose a problem-solution process combined with data visualisation. It relies on the observation of operational agents, creativity sessions and the development of user scenarios. The process is illustrated for a case study on one of the commuter line of the Paris metropolitan area. Results encompass three different layers and multiple interlinked views to explore spatial patterns, spatio-temporal clusters and passenger flows. We join several transport network indicators whether are measured, forecasted, or estimated. A user scenario is developed to investigate disrupted situations in public transport.

Keywords

Data visualisationUser centred designCreativityDigital / Digitised engineering value chainsmobility data

Information

Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021, pp. 1093 - 1102
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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