Research
Integrating data analytics, operations research, and location modeling to enhance public services and tackle societal challenges through data-driven decision making.
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Spatial Optimization for Public Services
Spatial Optimization for Public Services
Research Goals
To leverage data science and operations research to understand, evaluate, characterize, and address major issues that cities continue to encounter, including inequitable access to essential services and segregation. It involves collecting, processing, and analyzing large amounts of data related to various aspects of urban life, such as transportation, public services, social interactions, and environmental factors. Urban analytics, as an emerging field, offers innovative approaches for creating more equitable and inclusive living environments.
Selected Publications
Leitch, S., and Wei, Z.* (2024). "Improving spatial access to healthcare facilities: an integrated approach with spatial analysis and optimization modeling". Annals of Operations Research. Link
Wei, Z., and Mukherjee, S. (2024) "An integrated approach to analyze equitable access to food stores under disasters from human mobility patterns'', Risk Analysis. Link
Wei, Z., and Mukherjee, S. (2023). "Analyzing and Forecasting Service Demands Using Human Mobility Data: A Two-stage Predictive Framework with Decomposition and Multivariate Analysis''. Expert Systems With Applications. Link
Wei, Z., and Mukherjee, S. (2023). "Examining Income Segregation within Activity Spaces Under Natural Disaster Using Dynamic Mobility Network''. Sustainable Cities and Society, 91, 104408. Link
Risk-informed Emergency Response and Disaster Management
Risk-informed Emergency Response and Disaster Management
Research Goals
To leverage risk and decision analysis as well as information technology to enhance preparedness, mitigation, response, and recovery phases of disasters, including natural hazards and public health emergencies. Examples include shelter planning, evacuation, gun control, and pandemic management. It involves building mathematical models and designing efficient algorithms to better support policy making in emergency services and public sectors. Disaster informatics, as a critical research area, provides socially optimal strategies for building more resilient and safe living environments.
Selected Publications
Kuhn C, and Wei Z. (2026). "An Optimization Approach Integrating Coverage and Cost in Fire Unit Relocation". IISE Transactions. Link
Wei, Z., and Zhuang, J. (2026). "Optimizing defensive resource allocation in layered systems under the coexistence of strategic and non-strategic risks''. IISE Transactions. Link
Wei, Z., and Zhuang, J. (2024). "Modeling defensive resource allocation in multi-layered systems under probabilistic and strategic risks". Risk Analysis. Link
Wei, Z., and Zhuang, J. (2023). "On the Adoption of Nonpharmaceutical Interventions during the Pandemic: An Evolutionary Game Model". Risk Analysis, 43(11), 2298-2311. Link
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