A methodology for using dynamic visualizations to enhance citizens engagement
Many cities are developing semantic 3D models as digital representation of their environment in order to assess the outcomes of the implementation of new mobility services before their real-life piloting. This innovative process serves as an accelerator key for decision makers. At the same time, cities develop user-centric approaches setting citizen engagement and co-creation in the core of their strategies towards a more integrated and sustainable mobility system. The purpose of this paper is to present digital twins as a tool for vulnerable citizen engagement, improving efficiency of co-creation in mobility planning. So far, they reinforce evidence-based approaches for policy making. The present study presents a methodology of how digital twins are integrated in engagement processes by providing dynamic impacts’ representation of the citizens’ decisions on their neighborhoods.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2023 The Authors. Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
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Authors:
- Konstantinidou, Maria
- Salanova Grau, Josep Maria
- Sahala, Sami
- Nesterova, Nina
- de Kruijf, Joost
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Conference:
- Transport Research Arena Conference (TRA Lisbon 2022)
- Location: Lisbon , Portugal
- Date: 2022-11-14 to 2022-11-17
- Publication Date: 2023
Language
- English
Media Info
- Media Type: Web
- Features: Illustrations; Maps; References;
- Pagination: pp 4026-4032
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Serial:
- Transportation Research Procedia
- Volume: 72
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Digital displays; Mobility; Public participation; Transportation planning; Urban transportation
- Subject Areas: Data and Information Technology; Planning and Forecasting; Society; Transportation (General);
Filing Info
- Accession Number: 01905197
- Record Type: Publication
- Files: TRIS
- Created Date: Jan 22 2024 8:56AM