Abstract
Coping with the resilience of infrastructure systems is important in order to be prepared for disruptive events such as natural hazards. It is essential to understand how and in what order damaged infrastructure objects should be restored so that they can provide adequate service again. Infrastructure managers making such decisions must also take into account other constraints such as available funds, personnel, available resources, and any external constraints, e.g. which objects on which roads should have priority. In this work, a mathematical optimization model was used to determine such a restoration program, by minimizing the direct and indirect costs of the event, considering constraints such as budget, resource and traffic flow. With this approach, a restoration programme for a real road network in Switzerland after the occurrence of an extreme flood event is investigated.
Original language | English (US) |
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State | Published - 2019 |
Externally published | Yes |
Event | 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 - Seoul, Korea, Republic of Duration: May 26 2019 → May 30 2019 |
Conference
Conference | 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 5/26/19 → 5/30/19 |
All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Statistics and Probability