Graduate Studies
First Advisor
Lily Wang
Second Advisor
Jennifer Lather
Degree Name
Doctor of Philosophy (Ph.D.)
Committee Members
Christine Wittich, Milad Roohi, Zhenghong Tang
Department
Architectural Engineering
Date of this Version
8-2025
Document Type
Dissertation
Citation
A dissertation presented to the Graduate College of the University of Nebraska in partial fulfillment of requirements for the degree of Doctor of Philosophy
Major: Architectural Engineering
Under the supervision of Professors Lily Wang and Jennifer Lather
Lincoln, Nebraska, August 2025
Abstract
The overarching goal of this dissertation is to develop an integrated, simulation-driven framework to assess and enhance the resilience of interdependent transportation and healthcare systems before, during, and after natural hazards. By examining how spatial disruptions, social vulnerability, operational constraints, and infrastructure interdependencies affect access to and functionality of hospitals, this research offers a multifaceted evaluation of system performance under stress. This dissertation examines the impact of natural hazards, particularly floods, on the interdependent transportation and healthcare systems. The proposed approach combines and advances GIS-based network analysis, graph-theoretical modeling, and discrete-event simulation to evaluate system performance under different scenarios. The goal is to provide practical solutions that support natural hazards preparedness, protect vulnerable communities, and reduce delays in emergency care.
Key findings show that flood-related transportation disruptions significantly reduced timely access to hospitals, especially for socially vulnerable populations. Simulations revealed that removing a single hospital due to flooding could double the number of census tracts experiencing hospital overcapacity, many of which are in already underserved communities. The research also found that targeted recovery strategies, focusing on restoring the most critical roads first, led to faster access restoration compared to uniform approaches. At the facility level, a hospital layout study using real patient flow data demonstrated that layouts optimized for surge conditions not only performed better during surges but also improved operational efficiency under normal conditions. Together, these findings offer a simulation-driven framework that can support more equitable, flexible, and resilient hazard planning. This work provides practical tools for transportation planners, healthcare facility designers, and emergency managers to better prepare for and respond to future disruptions, especially in communities with higher vulnerability.
Advisors: Lily Wang and Jennifer Lather
Recommended Citation
Ahmadi, S. Yasaman, "Resilience of Interdependent Transportation and Healthcare Systems: A Simulation-driven Framework Incorporating Social Equity and Facility Optimization" (2025). Dissertations and Doctoral Documents from University of Nebraska-Lincoln, 2023–. 374.
https://digitalcommons.unl.edu/dissunl/374
Included in
Architectural Engineering Commons, Emergency and Disaster Management Commons, Health Policy Commons, Inequality and Stratification Commons, Infrastructure Commons, Medicine and Health Commons, Public Health Commons, Social Justice Commons, Transportation Commons, Transportation Engineering Commons, Water Resource Management Commons
Comments
Copyright 2025, S. Yasaman Ahmadi. Used by permission