Quantitative Analysis of Influencing Factors on Pavement Routine Maintenance Cost of Expressway
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U418.2

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    Abstract:

    In order to improve the decision level of pavement routine maintenance expenditure of expressway, hierarchical regression analysis method was used to quantify the influencing factors of routine maintenance cost. The influencing factors were defined as regional factors, ages, extra-large bridges ratio, long and extra-long tunnel ratio, and traffic factors which were divided into five cases. The quantitative research was carried out based on the historic data of 16 highway pavement assets after the variables were pretreated. The results show that the overall explanatory power of each group to the model is remarkable under the condition of controlling regional variables; the incremental explanatory power and the statistical significance in each group of the age are the most remarkable; the normalized regression coefficient (beta coefficient) of the extra bridge ratio is larger than the long and extra-long tunnel ratio under the same conditions ; and the beta coefficient of the AADT (annual average daily traffic) and heavy traffic flow are greater than other traffic groups. Thus, the calculation of pavement assets routine maintenance cost is affected by regional factors, the age, the extra bridges ratio, AADT and heavy traffic flow.

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SHI Xiaoli, LI Yuhuan, ZHANG Ming, ZHANG Ping. Quantitative Analysis of Influencing Factors on Pavement Routine Maintenance Cost of Expressway[J].同济大学学报(自然科学版),2019,47(09):1302~1309

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History
  • Received:October 26,2018
  • Revised:July 12,2019
  • Adopted:May 14,2019
  • Online: September 29,2019
  • Published:
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