Doctoral Dissertations
Abstract
"Transportation infrastructure is a critical foundation for economic productivity, yet agencies still face challenges in translating the expanding transportation datasets into defensible, phase-specific risk-governance tools. This dissertation addresses this gap by developing analytical and empirical, data-driven approaches to support risk governance across the transportation project lifecycle. Module 1 uses a panel model with bid-letting data to examine how out-of-state contractor participation affects pre-award competition and to derive entry-governance rules. Module 2 analyzes nonfatal injury data through iterative multiple linear regression and fatality data through association-rule change mining to identify multi-factor safety-risk configurations and develop adaptive safety-governance provisions. Module 3 develops a game-theoretic model calibrated with historical price-index data to assess whether price adjustment clauses achieve equitable risk sharing. Module 4 uses expert-elicited survey data and structural equation modeling to validate the factors affecting smart-contract feasibility and translate them into an implementation roadmap. Module 5 applies an ANOVA/MANOVA screening pipeline to Emergency Relief Fund allocation records to identify statistically distinctive highway disaster case studies that can inform resilience governance. Collectively, the modules replace ad hoc decision-making with an integrated analytical–empirical toolkit that translates lifecycle evidence into actionable risk-governance policy. These include procurement rules that support competitive entry, safety provisions targeting key injury and fatality configurations, contract calibration rules to manage price volatility, a validated roadmap for smart-contract integration, and reproducible logic for selecting disaster case studies"-- Abstract, p. iii
Advisor(s)
El-adaway, Islam H.
Committee Member(s)
Chen, Genda
Schroer, Hunter
Hastak, Makarand
Showalter, W. Eric
Department(s)
Civil, Architectural and Environmental Engineering
Degree Name
Ph. D. in Civil Engineering
Publisher
Missouri University of Science and Technology
Publication Date
2026
Pagination
xviii, 426 pages
Note about bibliography
Includes_bibliographical_references_(pages 360-424)
Rights
© 2026 Mariam A. Elazhary , All Rights Reserved
Document Type
Dissertation - Open Access
File Type
text
Language
English
Thesis Number
T 12614
Recommended Citation
Elazhary, Mariam A., "Analytical and Empirical Data-Driven Risk-Governance Design Across the Different Phases: Creating Informed Policy Adjustments for the Transportation Project Lifecycle" (2026). Doctoral Dissertations. 3470.
https://scholarsmine.mst.edu/doctoral_dissertations/3470
