Batty, M. (2018). Digital twins. Environment and Planning B: Urban Analytics and City Science, 45(5), 817-820.
Batty, M. (2024a). Digital twins in city planning. Nature Computational Science, 4(3), 192-199.
Batty, M. (2024b). Digital Twins, Turing Tests and Urban Models.
Batty, M., & Milton, R. (2021). A new framework for very large-scale urban modelling. Urban Studies, 58(15), 3071-3094.
Brasebin, M., Chapron, P., Chérel, G., Leclaire, M., Lokhat, I., Perret, J., & Reuillon, R. (2017, November). Apports des méthodes d'exploration et de distribution appliquées à la simulation des droits à bâtir. In Spatial Analysis and GEOmatics 2017.
Bretagnolle, A., Daudé, E., & Pumain, D. (2006). From theory to modelling: urban systems as complex systems. Cybergeo: European Journal of Geography.
Bucher, B., Ndim, M., Olteanu-Raimond, A., Raimbault, J., Perret, J. et al. (2024). Conceptualising a co-operative building evolution dashboard on city regions over the past decades for densification studies. 27th AGILE Conference on Geographic Information Science, "Geographic Information Science for a Sustainable Future", Glasgow.
Caldarelli, G., Arcaute, E., Barthelemy, et al. (2023). The role of complexity for digital twins of cities. Nature Computational Science, 3(5), 374-381.
Caruso, G., Pumain, D., & Thomas, I. (2023). No “Prêt à Porter” but a multi-scalar perspective of “Smart Cities”. In Knowledge Management for Regional Policymaking (pp. 123-147). Cham: Springer International Publishing.
Ferré-Bigorra, J., Casals, M., & Gangolells, M. (2022). The adoption of urban digital twins. Cities, 131, 103905.
IGN (2024). La recherche au défi du jumeau numérique de la France. Page web archivée à http://web.archive.org/web/20240326103453/https://www.ign.fr/reperes/la-recherche-au-defi-du-jumeau-numerique-de-la-france
Kitchin, R., & McArdle, G. (2017). Urban data and city dashboards: Six key issues. In Data and the City (pp. 111-126). Routledge.
Kosmopoulos, C., Aveline, N., & Lavie, E. (2023). CybergeoNetworks 2: une application d’apprentissage profond au service de la publication scientifique. Cybergeo: European Journal of Geography.
Malleson, N., Franklin, R., Arribas-Bel, D., Cheng, T., & Birkin, M. (2024). Digital twins on trial: Can they actually solve wicked societal problems and change the world for better?. Environment and Planning B: Urban Analytics and City Science, 23998083241262893.
Pangbourne, K., Mladenović, M. N., Stead, D., & Milakis, D. (2020). Questioning mobility as a service: Unanticipated implications for society and governance. Transportation research part A: policy and practice, 131, 35-49.
QUANT (2021). QUANT, Simulating the Impacts of Large Scale Change in UK. Page web archivée à http://web.archive.org/web/20211127211903/http://quant.casa.ucl.ac.uk/explore.aspx
Reuillon, R., Leclaire, M., & Rey-Coyrehourcq, S. (2013). OpenMOLE, a workflow engine specifically tailored for the distributed exploration of simulation models. Future Generation Computer Systems, 29(8), 1981-1990.
SimPLU3D (2024). SimPLU3D. Page web archivée à http://web.archive.org/web/20240427161147/https://simplu3d.github.io/
Wan, L., Jin, Y., Echenique, M., Batty, M., & Wegener, M. (2024). From urban modelling to city digital twins–Reflections from the applied urban modelling (AUM) symposia. Environment and Planning B: Urban Analytics and City Science, 23998083241279601.
White, G., Zink, A., Codecá, L., & Clarke, S. (2021). A digital twin smart city for citizen feedback. Cities, 110, 103064.