Research on Reference Indicators for Sustainable Pavement Maintenance Cost Control through Data Mining

Yonghong Yang, Lan Huang, Jiecong Wang and Yuanbo Xia
Additional contact information
Yonghong Yang: School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China
Lan Huang: School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China
Jiecong Wang: School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China
Yuanbo Xia: School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China

Sustainability, 2019, vol. 11, issue 3, 1-14

Abstract: Maintenance management has become increasingly important in the development of highways and government investment, but the shortage of funds is still a serious problem. When the administrative department reviews expense, the existing evaluation methodology cannot be applied to the current national condition and its calculation process is too complicated. Therefore, in order to improve this situation, this paper analyses various factors affecting maintenance costs, and obtains the quantitative relationship between the six main influencing factors such as traffic volume, using time, location, the number of lanes, overlays, and major rehabilitation. Based on regression analysis, an accuracy-based and cost-oriented control methodology is proposed, which can be dynamically updated according to the market conditions. This method is built on the data of 18 typical highways in Guangdong Province, China. The control reference indicators consist of a set of models and confidence intervals, and the actual cost needs to meet the corresponding requirements. In addition, the expenditure characteristics of rehabilitation and reconstruction in China are summarized. Experiments showed that this methodology can be used to guide cost planning and capital allocation in sustainable maintenance and achieved good results in application, making it worthwhile to promote them in other areas.

Keywords: pavement maintenance management; routine maintenance; cost control; factors analysis; data mining (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/11/3/877/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/3/877/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:3:p:877-:d:204229

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().