Incorporating decision makers’ attitudes towards risk and opportunity into network-level pavement maintenance optimisation
Author:
Affiliation:
1. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
2. Department of Highway and Railway Engineering, xSchool of Transportation, Southeast University, Nanjing, People’s Republic of China
Publisher
Informa UK Limited
Subject
Mechanics of Materials,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10298436.2023.2164892
Reference46 articles.
1. Integrating Risk Assessment into Pavement Management Systems
2. Multi-objective optimization for maintaining low-noise pavement network system in Hong Kong
3. Do measures of risk attitude in the laboratory predict behavior under risk in and outside of the laboratory?
4. Dulac-Arnold G. et al. 2015. Deep reinforcement learning in large discrete action spaces. arXiv preprint arXiv:1512.07679 .
5. Eurobitume 2011. Life Cycle Inventory: Bitumen. [Online]. Available from: https://www.eurobitume.eu/fileadmin/pdf-downloads/LCI%20Report-Website-2ndEdition-20120726.pdf.
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1. A novel technique for multi-objective sustainable decisions for pavement maintenance and rehabilitation;Case Studies in Construction Materials;2024-07
2. Performance-oriented road structure and material design method based on enhanced XGBoost algorithm;International Journal of Pavement Engineering;2023-12-22
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