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Impacts of Seasonal and Annual Weather Variations on Network-Level Pavement Performance

1
Department of Construction Management, University of Houston, Houston, TX 77204, USA
2
Texas Department of Transportation, Austin, TX 78731, USA
*
Author to whom correspondence should be addressed.
Infrastructures 2019, 4(2), 27; https://doi.org/10.3390/infrastructures4020027
Received: 4 March 2019 / Revised: 7 May 2019 / Accepted: 8 May 2019 / Published: 17 May 2019
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Abstract

This study was aimed to determine the extent of association between network-level pavement condition and seasonal and annual weather variations. Pavement condition data recorded in the Texas Department of Transportation’s Pavement Management Information System (PMIS) database between 2000 and 2008 was highlighted. Meteorological data collected at different districts across the whole state were used in the explanatory variables. Dynamic panel data analysis was used in the deterioration models to quantify the effects of temperature and precipitation variations on pavement conditions. Based on the statistical implication from the model estimation results, significant correlations were identified between pavement conditions, the average monthly rainfall, and the average monthly temperature recorded 1 to 23 months prior to pavement condition inspection. View Full-Text
Keywords: pavement performance; seasonal effect; panel data; pavement management; PMIS pavement performance; seasonal effect; panel data; pavement management; PMIS
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Gao, L.; Hong, F.; Ren, Y.-H.W. Impacts of Seasonal and Annual Weather Variations on Network-Level Pavement Performance. Infrastructures 2019, 4, 27.

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