Towards an AI-driven framework for multi-scale urban flood resilience planning and design

Abstract

Climate vulnerability is higher in coastal regions. Communities can largely reduce their hazard vulnerabilities and increase their social resilience through design and planning, which could put cities on a trajectory for long-term stability. However, the silos within the design and planning communities and the gap between research and practice have made it difficult to achieve the goal for a flood resilient environment. Therefore, this paper suggests an AI (Artificial Intelligence)-driven platform to facilitate the flood resilience design and planning. This platform, with the active engagement of local residents, experts, policy makers, and practitioners, will break the aforementioned silos and close the knowledge gaps, which ultimately increases public awareness, improves collaboration effectiveness, and achieves the best design and planning outcomes. We suggest a holistic and integrated approach, bringing multiple disciplines (architectural design, landscape architecture, urban planning, geography, and computer science), and examining the pressing resilient issues at the macro, meso, and micro scales.

Enhancing the resilience of low-income housing using emerging digital technologies

“…As part of this work, the authors will also develop an ontological framework. The authors will adapt and refined frameworks from closely related work -see for example, [59,60].…”

Developing Human-Centered Urban Digital Twins for Community Infrastructure Resilience: A Research Agenda

“…Similarly, VR coupled with urban simulation allows planners to interact with environments in an immersive, firstperson view before designs are implemented. In the context of community adaptation planning, UDTs also provide important approaches for gaining deeper insights into community resilience through the simulation of multidimensional socioeconomic consequences of climate risk (Francisco, Mohammadi, and Taylor 2020;Ye et al 2021). Since UDTs often facilitate and incorporate these modeling, visualization, and simulation functions, we include these terms in our scoping review to help narrow our search results for UDT literature to articles that would be most likely to contribute to community infrastructure resilience.…”

“…Further, silos within the design, social, and engineering sciences as well as yawning gaps between research and practice have made sustainable and equitable development difficult (Ye et al 2021). Coastal risk communications require decision makers to better identify the potential risk of diverse stakeholders, connect with stakeholders using up-to-date information, and inspire stakeholders to make risk-wise decisions under adverse conditions.…”

Exploring flood mitigation governance by estimating first-floor elevation via deep learning and google street view in coastal Texas

“…As one of the most common disasters, flooding has posed significant challenges to urban sustainability (Aerts et al, 2013; Aerts, 2018). Taking effective measures to reduce flood-induced economic losses and human casualties has been the focus of urban flood mitigation research (Ye et al, 2021). Hurricane Harvey made landfall in Texas and Louisiana in August 2017, triggering devastating floods and killing more than 100 people (Sebastian et al, 2017).…”