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Matching Synthetic Populations with Personas: A Test Application for Urban Mobility

Published online by Cambridge University Press:  26 May 2022

F. Vallet ,
S. Hörl  and
T. Gall
F. Vallet
Affiliation:
CentraleSupélec, France IRT SystemX, France
S. Hörl
Affiliation:
IRT SystemX, France
T. Gall*
Affiliation:
CentraleSupélec, France IRT SystemX, France
*
tjark.gall@centralesupelec.fr

Abstract

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Design is increasingly influenced by digitalisation yet differs largely across domains. We present synergies between the works of UX designers and data scientists. We can utilise personas to represent users and their behaviours, or synthetic populations to represent agent groups. Despite sharing characteristics, their synergies have not been explored so far. We propose a workflow and test it in the urban mobility context to link a synthetic population of Paris with a set of contextual personas. This builds the basis for an integrated approach for designing urban mobility across fields.

Keywords

user-centred designdata-driven designinclusive designpersonasynthetic population
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 1795 - 1804
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), 2022.

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