The Digital Twin, a tool for dynamic planning of an urban resilience

In an era where the resilient planning of cities is mainly done by a multitude of digital tools for thinking, predicting, building, and observing, the data used remains globally in a static condition[1], however the city and its environment are in a perpetual state of change and must include dynamic data for being as close to reality as possible[2].
Coming from the industrial world, the emerging concept of the "Digital Twin" (DT) is positioned as a tool linking the 3D digital model and the implementation of continuous and dynamic information (from sensors among others), allowing to introduce the notion of piloting and maintenance of doubled physical objects[3]. Applied at different scales and functions the "DT" becomes a unique database allowing both the simulation of different climate risk scenarios and the real-time assessment of the existing environment[4].

Based on the existing literature[5] and on experimental projects such as European or National "DT" projects designed for resilient planning such as LEAD, DUET or DIAMS[6], this communication will first focus on the analysis of different dynamic and static environmental indicators used (definitions and management of the data). In a second step, we will concentrate on the different actors of these "DT" by questioning their expectations and needs (visualizations and simulations of the different impacts due to climate change as well as the maintenance of real subjects). But also by analyzing their processes of use to understand the advantages and the limits noticed during their experimentations. Finally, we will ask ourselves how this tool could evolve thanks to the feedback from these tests.
The aim is to evaluate the role that the "DT" can have on the dynamic and resilient planning of territories and conversely the impacts of programming on the use of this tool.

 

Keywords: Digital Twin, dynamic planning, urban resiliency

Références :

[1] Ramalho, Cristina E., et Richard J. Hobbs. “Time for a Change: Dynamic Urban Ecology” Trends in Ecology & Evolution 27, n^o 3 (2012): 179‑88. https://doi.org/10.1016/j.tree.2011.10.008.

[2] Chunyang He et al., “Alternative Future Analysis for Assessing the Potential Impact of Climate Change on Urban Landscape Dynamics ”, Science of The Total Environment 532 (1 novembre 2015): 48‑60, https://doi.org/10.1016/j.scitotenv.2015.05.103.

[3] A. Fuller, Z. Fan, C. Day and C. Barlow, "Digital Twin: Enabling Technologies, Challenges and Open Research," in IEEE Access, vol. 8, pp. 108952-108971, (2020), doi: 10.1109/ACCESS.2020.2998358.

[4] Guillaud, M., & Chéreau, M. (2022). "3. Des outils techniques accessibles et des données ouvertes ". In Inventer les villes durables (p. 119‑133). Dunod. https://www.cairn.info/inventer-les-villes-durables--9782100834204-p-119.htm

[5] Shahat, Ehab, Chang T. Hyun, et Chunho Yeom. « City Digital Twin Potentials: A Review and Research Agenda ». Sustainability 13, n^o 6 (janvier 2021): 3386. https://doi.org/10.3390/su13063386.

[6]    Objectives Lead Project. (2023). https://www.leadproject.eu/objectives/  
About digital urban european twins. (s. d.). DUET. https://www.digitalurbantwins.com/digitaltwindemo  
Planification urbaine pour les collectivités pilotes DIAMS. (s. d.). https://www.airdiams.eu/planification-urbaine-pour-les-collectivites-pilotes