CRISP Type 1 / Collaborative Research: A Human-Centered
Computational Framework for Urban and Community
Design of Resilient Coastal Cities
Sponsored by National Science Foundation (NSF)
Project Description
The goal of this research is to create new paradigms for the resilient design of urban communities, and uniquely tailored toward the design of coastal cities, thus contributing to NSF’s science and engineering mission. By bringing together an interdisciplinary set of collaborators from engineering, architecture, and social sciences, this research will yield several key innovations:
- A holistic human-centered computational framework for the design of resilient cities;
- Identification of key typologies, morphologies and their interdependencies by analyzing the urban design and its infrastructure networks;
- An innovative flexible modeling and computational framework that integrate socioeconomic characteristics for simulation and resilience optimization (damage tolerance) of the critical infrastructure;
- A novel optimization framework that will facilitate making damage tolerance decisions that can achieve anticipatory resilience in the face of disaster uncertainty;
- New identified interdependences, trends, and typologies of socioeconomic system of highly urbanized coastal communities based on the cities of Miami and Miami Beach in Florida.
In summary, this research will lay the scientific foundation for envisioning and redesigning resilient coastal cities making them ready to meet anticipated future challenges.
Collaborators
Press Release
- National Science Foundation “Award Announcement”
- National Science Foundation Press Release 16-119 “NSF awards $22.7 million to strengthen nation’s infrastructure”
- UM News “College of Engineering, School of Architecture Receive NSF Grant to Study Resiliency of Coastal Cities”
- UM “Designing the Future: Resilient Coastal Cities”
Ph.D. Thesis
- J. Wang 2021. “Occupant-Centric Modeling and Control For Low-Carbon And Resilient Communities.” Department of Civil, Environmental, and Architectural Engineering, University of Colorado Boulder.
Journal Articles
- J. Wang, K. Garifi, K. Baker, W. Zuo, Y. Zhang, S. Huang, D. Vrabie 2020. “Optimal Renewable Resource Allocation and Load Scheduling of Resilient Communities.” Energies, 13, pp. 5683.
- J. Wang, S. Huang, W. Zuo, D. Vrabie 2021. “Occupant Preference-Aware Load Scheduling for Resilient Communities.” Energy and Buildings, 252, pp. 111399.
- J. Wang, W. Zuo, L. Rhode-Barbarigos, X. Lu, J. Wang, Y. Lin 2019. “Literature Review on Modeling and Simulation of Energy Infrastructures from a Resilience Perspective.” Reliability Engineering and System Safety, 183, pp. 360-373.
Conference Papers
- J. Wang, K.N. Garifi, K.A. Baker, W. Zuo, Y. Zhang 2020. “Optimal Operation for Resilient Communities Through A Hierarchical Load Scheduling Framework.” 2020 Building Performance Modeling Conference and SimBuild, Virtual Conference, September 29-October 1.
- J. Wang, W. Zuo, S. Huang, D. Vrabie 2020. “Data-driven Prediction of Occupant Presence and Lighting Power: A Case Study for Small Commercial Buildings.” American Modelica Conference 2020, Virtual Conference, September 22-24.