本合集探讨了在气候和社会变革背景下提升基础设施韧性的创新方法。它汇集了不列颠哥伦比亚大学奥肯那根分校的研究成果,融合了工程学、数据科学和城市规划,旨在应对老化资产、极端天气和疫情后复苏等挑战。主题涵盖数字孪生、深度学习和环境融合等技术,以支持可持续的、适应性强的基础设施系统。
This collection explores innovative approaches to infrastructure resilience amid climate and societal shifts. Featuring research from UBC Okanagan, it integrates engineering, data science, and urban planning to address challenges like aging assets, extreme weather, and post-pandemic recovery. Topics include digital twins, deep learning, and environmental integration to support sustainable, adaptive infrastructure systems.