Airport Pavement Maintenance Decision-Making System with Condition Cases Optimization
The successive growth of the aviation industry has progressively heightened the importance of airport pavement management systems. Existing research has primarily focused on the technological advancements of optimization models, with limited applicability in practice. In this study, we introduce con...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/24/13167 |
| _version_ | 1827575760472244224 |
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| author | Seunghyun Roh Jinwoo Lee Ivan Jan Urbino Wuguang Lin Yoonho Cho |
| author_facet | Seunghyun Roh Jinwoo Lee Ivan Jan Urbino Wuguang Lin Yoonho Cho |
| author_sort | Seunghyun Roh |
| collection | DOAJ |
| description | The successive growth of the aviation industry has progressively heightened the importance of airport pavement management systems. Existing research has primarily focused on the technological advancements of optimization models, with limited applicability in practice. In this study, we introduce condition cases optimization (CCO) to address these limitations while incorporating multi-facility and multi-year network optimization models. We developed condition index, serviceability level, integrated assessment indices and performance models for decision-making criteria. As a result, a practical decision-making strategy was proposed which can flexibly reflect budget constraints. Sensitivity analysis highlighted the impact of initial budget, maintenance methods, costs, and thresholds on decision outcomes. Using a case study, we validated the effectiveness and practicality of the CCO method as an efficient decision-making tool. |
| first_indexed | 2024-03-08T21:01:34Z |
| format | Article |
| id | doaj.art-671333a1fa79494c8e5e804ea306c535 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-08T21:01:34Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-671333a1fa79494c8e5e804ea306c5352023-12-22T13:51:42ZengMDPI AGApplied Sciences2076-34172023-12-0113241316710.3390/app132413167Airport Pavement Maintenance Decision-Making System with Condition Cases OptimizationSeunghyun Roh0Jinwoo Lee1Ivan Jan Urbino2Wuguang Lin3Yoonho Cho4Department of Smart Cities, Chung-Ang University, 84 Heukseok-ro, Seoul 06974, Republic of KoreaKorea Advanced Institute of Science and Technology, Cho Chun Shik Graduate School of Mobility, 193 Munji-ro, Daejeon 34051, Republic of KoreaDepartment of Smart Cities, Chung-Ang University, 84 Heukseok-ro, Seoul 06974, Republic of KoreaDepartment of Transportation and Communications, University of Shanghai Maritime, 1550 Haigang Ave., Shanghai 201306, ChinaDepartment of Smart Cities, Chung-Ang University, 84 Heukseok-ro, Seoul 06974, Republic of KoreaThe successive growth of the aviation industry has progressively heightened the importance of airport pavement management systems. Existing research has primarily focused on the technological advancements of optimization models, with limited applicability in practice. In this study, we introduce condition cases optimization (CCO) to address these limitations while incorporating multi-facility and multi-year network optimization models. We developed condition index, serviceability level, integrated assessment indices and performance models for decision-making criteria. As a result, a practical decision-making strategy was proposed which can flexibly reflect budget constraints. Sensitivity analysis highlighted the impact of initial budget, maintenance methods, costs, and thresholds on decision outcomes. Using a case study, we validated the effectiveness and practicality of the CCO method as an efficient decision-making tool.https://www.mdpi.com/2076-3417/13/24/13167airport pavement management systemcondition cases optimizationdecision makingairport pavement maintenance |
| spellingShingle | Seunghyun Roh Jinwoo Lee Ivan Jan Urbino Wuguang Lin Yoonho Cho Airport Pavement Maintenance Decision-Making System with Condition Cases Optimization Applied Sciences airport pavement management system condition cases optimization decision making airport pavement maintenance |
| title | Airport Pavement Maintenance Decision-Making System with Condition Cases Optimization |
| title_full | Airport Pavement Maintenance Decision-Making System with Condition Cases Optimization |
| title_fullStr | Airport Pavement Maintenance Decision-Making System with Condition Cases Optimization |
| title_full_unstemmed | Airport Pavement Maintenance Decision-Making System with Condition Cases Optimization |
| title_short | Airport Pavement Maintenance Decision-Making System with Condition Cases Optimization |
| title_sort | airport pavement maintenance decision making system with condition cases optimization |
| topic | airport pavement management system condition cases optimization decision making airport pavement maintenance |
| url | https://www.mdpi.com/2076-3417/13/24/13167 |
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