Technical Papers
Jul 19, 2024

Discover Spatiotemporal Association and Causation between Potholes and Flat Tire Frequency

Publication: Journal of Infrastructure Systems
Volume 30, Issue 4

Abstract

This study attempts to untangle the association and causation between pavement potholes and vehicle flat tire frequency. To this end, the study collected pothole data from crowdsourced user-generated reports and extracted flat tire incidents from official operation notes. To account for spatiotemporal variations in potholes and flat tire incidents, a geographically and temporally weighted negative binomial regression (GTWNBR) model was created to explore their spatiotemporal association, alongside a negative binomial fixed-effects regression model (NBFER) for causal inference of flat tire incidents. The GTWNBR model revealed that potholes are positively correlated with flat tire frequency, with a significant spatiotemporal variation. The potholes in the central city and interchanges of highways were found to have a higher association with flat tire frequency than in other areas. Besides, the flat tire frequency was most strongly correlated with potholes that outbreak during the winter months. Further, the NBFER model substantiated that increments in potholes can significantly cause more flat tire incidents. The NBFER and GTWNBR models differ in their strengths: the NBFER model is better suited for making causal inferences, whereas the GTWNBR model can provide a more comprehensive understanding of covariates and achieve higher predictive performance. The study findings recognize tangible connections of how pavement conditions trigger flat tire incidents, and they can pave the way toward prioritizing infrastructural investment decisions related to roadway maintenance.

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Data Availability Statement

All data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.

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Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 30Issue 4December 2024

History

Received: Aug 19, 2023
Accepted: May 22, 2024
Published online: Jul 19, 2024
Published in print: Dec 1, 2024
Discussion open until: Dec 19, 2024

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Research Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Tennessee, Knoxville, TN 37996 (corresponding author). ORCID: https://orcid.org/0000-0003-0971-9540. Email: [email protected]
Diyi Liu
Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Tennessee, Knoxville, TN 37996.
Professor, Dept. of Geography and Sustainability, Univ. of Tennessee, Knoxville, TN 37996. ORCID: https://orcid.org/0000-0002-7637-678X
Lee D. Han
Professor, Dept. of Civil and Environmental Engineering, Univ. of Tennessee, Knoxville, TN 37996.

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