Leveraging Smart Technologies and Managing Community Resilience through Networked Communities and Cross-Sector Partnerships
This Smart & Connected Communities grant will leverage existing community partnerships and resources and evaluate the information technology applications aided by artificial intelligence in enhancing community resilience management. The east central Florida region (including 8 counties and 78 member towns/cities) is selected as a testbed for this project to improve community resilience practices through a regional data platform – Community Resilience Data Depot (CoRD2). Built on an interdisciplinary team with synergistic contributions from Emergency Management, Public Administration, Geography, Computer Science, Civil Engineering, and Operation Management, the project aims to augment the information and communication capacity of the east central Florida region and the Orlando metropolitan area to the next level via a sustainable partnership. The metrics to assess the extent and speed of achieving appropriate post-event functionality will help address a nationwide community capacity building need to quantitatively evaluate resilience increases by public-private partnerships. The research design assessing resilience changes will help decision makers in governments, businesses, and nonprofits to obtain a deeper understanding of how artificial intelligence-aided information technologies can advance collective decision making to reduce community vulnerability and enhance resilience.
The research involves developing an integrative framework to evaluate smart technology advances that foster community partnerships and enhance community connectedness in resilience management; filling research gaps in modeling community partnership characteristics and examining design and implementation networks among cross-sector partners for community resilience efforts; creating a holistic approach to comparing community resilience functionality changes by research intervention and an actual hazard event; and building CoRD2 for resilience data sharing and integration among public, private, and nonprofit sectors to support real-time collective decision making. The novel methodologies include collecting and calibrating multi-dimensional data from behavioral surveys, policy and plan documents, social media posts, and an in-house drill with pre-/post-surveys; creating converged metrics for evaluating community resilience from an organizational perspective; providing next-generation computational solutions for processing disaster response data flowing in the regional data platform as peak influxes; developing real-time machine learning algorithms and software capacities for social media big data analytics (texts and images); and modeling organizational resilience capacity and multidimensional community resilience functionality.
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Performance PeriodSeptember 2020 - August 2024
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The University of Central Florida Board of Trustees
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Award Number1952792
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Lead PIYue Ge
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Co-PILiqiang Wang
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Co-PINaim Kapucu
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Co-PIHaizhong Wang
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Co-PIChristopher Zobel
Project Material
- An integrative agent‐based vertical evacuation risk assessment model for near‐field tsunami hazards
- Modeling of multi-hazard warning dissemination time distributions: An agent-based approach
- Building community resilience through <scp>cross‐sector</scp> partnerships and interdisciplinary research
- Strategies for Crisis-Responsive Governance: Automated Anomaly Identification in Public Services
- Semisupervised Learning for Noise Suppression Using Deep Reinforcement Learning of Contrastive Features
- The use of documentary data for network analysis in emergency and crisis management
- Examining User Access Options for eGovernment Services During a Crisis from a Digital Inequality Perspective
- An interdisciplinary agent-based evacuation model: integrating the natural environment, built environment, and social system for community preparedness and resilience
- Prioritization of disaster-related requests in an IT-enabled public service system
- Network Governance for Coordinated Disaster Response
- Tsunami preparedness and resilience: Evacuation logistics and time estimations
- An interdisciplinary agent-based multimodal wildfire evacuation model: Critical decisions and life safety
- A Data Envelopment Analysis-based Approach for Managing Performance of Public Service Systems During a Disaster
- Organizational Resilience to Disruption Risks: Developing Metrics and Testing Effectiveness of Operational Strategies
- NoisyOTNet: A Robust Real-Time Vehicle Tracking Model for Traffic Surveillance
- Introducing Twitter Daily Estimates of Residents and Non-Residents at the County Level
- Analysis of Orange County 311 System service requests during the COVID-19 pandemic
- Optimal Investment in Prevention and Recovery for Mitigating Epidemic Risks
Dr. Ge is a faculty co-lead of the Urban Resilience Initiative based at UCF’s downtown campus. His research is focused on urban resilience through public-private partnerships and smart technologies. Recent funded research includes smart and connected communities in risk communication, urban and education equitable resilience hubs, hurricane evacuation behaviors and logistics, socioeconomic impacts of flooding, and data syntheses for public health crises. Method expertise covers interdisciplinary research design, survey methods, quantitative analysis, and spatial analysis (GIS). His research appears in Risk Analysis, Public Administration Review, Environment and Planning B, Transportation Research Part D, Natural Hazards, Journal of Risk Research, International Journal of Mass Emergencies and Disasters, International Journal of Disaster Risk Science, among other academic journals. He is an active university representative in the local governmental steering committees for smart cities and community resilience.