Assessing Critical Road Sections: A Decision Matrix Approach Considering Safety and Pavement Condition
Abstract
:1. Introduction
2. Literature Review
- It uses a proactive approach to evaluate pavement performance.
- It considers a comprehensive set of factors to evaluate the safety of infrastructure for each group of road users separately.
- It uses crash history data to assess the underlying causes of accidents, in addition to the proactive safety assessment of infrastructure.
- It introduces a new decision-making matrix that combines the above three factors and applies the proposed matrix to prioritize road maintenance in a real case study in Addis Ababa, Ethiopia.
3. Methodology
3.1. Markov Mixed Hazard (MMH) Model
3.2. International Road Assessment Program (iRAP) Star Rating
3.3. Decision Matrix Formulation
3.4. Empirical Setting: Case Study
4. Results
5. Discussion
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Star Rating | Star Rating Score | ||||
---|---|---|---|---|---|
Vehicle Occupants and Motorcyclists | Bicyclists | Pedestrians | |||
Total | Along | Crossing | |||
5 | 0 to <2.5 | 0 to <5 | 0 to <5 | 0 to <0.2 | 0 to <4.8 |
4 | 2.5 to <5 | 5 to <10 | 5 to <15 | 0.2 to <1 | 4.8 to <14 |
3 | 5 to <12.5 | 10 to <30 | 15 to <40 | 1 to <7.5 | 14 to <32.5 |
2 | 12.5 to <22.5 | 30 to <60 | 40 to <90 | 7.5 to <15 | 32.5 to <75 |
1 | 22.5+ | 60+ | 90+ | 15+ | 75+ |
Category | Factors | ||
---|---|---|---|
Pavement Deterioration Rate (Percentile of ε) | Infrastructure Safety (Star Rating) | Crash History (Injury Severity) | |
Level 1 | percentile () | 1-star () | Fatal () |
Level 2 | percentile () | 2-star () | Serious injury () |
Level 3 | Below percentile () | 3-star and above () | Minor injury () |
Condition States | IRI (m/km) | Remark |
---|---|---|
1 | <2 | Very Good |
2 | 2 ≤ IRI < 4 | Good |
3 | 4 ≤ IRI < 6 | Fair |
4 | 6 ≤ IRI < 8 | Poor |
5 | IRI ≥ 8 | Very Poor |
CLASS | Length (km) | Percentage (%) | |
---|---|---|---|
CLASS I | A | 15.5 | 3.3 |
B | 15.5 | 3.3 | |
C | 16.3 | 3.4 | |
D | 24.6 | 5.2 | |
E | 132.2 | 28 | |
Total | 204.1 | 43.2 | |
CLASS II | A | 25.3 | 5.4 |
B | 20.8 | 4.4 | |
C | 130.3 | 27.6 | |
Total | 176.4 | 37.4 | |
CLASS III | 92 | 19.5 |
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Angelo, A.A.; Sasai, K.; Kaito, K. Assessing Critical Road Sections: A Decision Matrix Approach Considering Safety and Pavement Condition. Sustainability 2023, 15, 7244. https://doi.org/10.3390/su15097244
Angelo AA, Sasai K, Kaito K. Assessing Critical Road Sections: A Decision Matrix Approach Considering Safety and Pavement Condition. Sustainability. 2023; 15(9):7244. https://doi.org/10.3390/su15097244
Chicago/Turabian StyleAngelo, Asnake Adraro, Kotaro Sasai, and Kiyoyuki Kaito. 2023. "Assessing Critical Road Sections: A Decision Matrix Approach Considering Safety and Pavement Condition" Sustainability 15, no. 9: 7244. https://doi.org/10.3390/su15097244