Development of a decision making model under uncertainty to increase the resilience of the road network and bridges in the Dominican Republic.

Client: Banco Interamericano de Desarrollo (BID)
Roads & Transportation
Transportation Engineering

The Dominican Republic is exposed to multiple risks of natural events, such as hurricanes, earthquakes, and other natural phenomena the country is vulnerable to. The objective of this project was to increase the resilience of the road network taking into account its adaptation to threats of geophysical and hydro-meteorological origin with events of climate change.
This approach implied that the interventions (investment and other adaptation options) were evaluated through an economic vision considering the impact of the resilience increase before existing risks. The “Decision Making under Deep Uncertainty (DMDU)” methodology, and in particular, the “Robust decision Making (RDM)” methodology, were applied in this study. The latter was used to provide recommendations and a tool that allows “MOPC” to identify and prioritize policies to increase the resistance of the national road system against natural events.

Project Scope

- Threat assessment evaluation, analysis of vulnerability and exposure of the whole Dominican Republic road network, with emphasis in the southern area of the country, and the main or major roads (size of road network: 14,000 km).
- Identification of the most critical section as per the most up to date data base.
- Proposal and comparison of adaptation measures under a set of multiple future scenarios.