Statistical Analysis and Predictive Modeling for Bridge Deterioration in Pennsylvania
With over 30,000 bridges, Pennsylvania ranks third in the number of bridges and sixth in the nation for bridges in poor condition, according to a 2023 analysis by TRIP. Given the essential role bridges play in supporting commercial, personal, and public transportation, the Pennsylvania Department of Transportation (PennDOT) handles supporting these structures. This involves activities such as painting, superstructure replacement, substructure repair, rehabilitation, and scour protection. PennDOT faces several challenges, including funding constraints, the average age of bridges, span length, material type, average daily traffic (ADT), deck width, major components, and environmental factors. These issues contribute to the deterioration of bridge conditions and failure if actions are not taken in the long-term. This paper will provide a detailed statistical analysis of bridge deterioration across Pennsylvania, examining factors such as major components, ADT, age, cost, and environmental impacts. It will also explore statistical methods, including linear regression, multiple regression, survival analysis, to assess bridge conditions and predict hazard and time of bridge failure. By finding key factors and employing robust statistical techniques, the paper aims to offer solutions for rehabilitating and improving the condition of Pennsylvania's bridges.
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| Work Title | Statistical Analysis and Predictive Modeling for Bridge Deterioration in Pennsylvania |
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| License | In Copyright (Rights Reserved) |
| Work Type | Masters Culminating Experience |
| Sub Work Type | Scholarly Paper/Essay (MA/MS) |
| Program | Civil Engineering |
| Degree | Master of Science |
| Publication Date | 2025 |
| Deposited | May 19, 2025 |
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