3.2.1. Impacts on Traffic in Barcelona

Upon changing the respective speed limit parameters within TransCAD®, the model was reapplied to assess how the traffic flows within the city have changed. Figure 14 shows speed difference maps calculated from the TransCAD® model runs for a 1 in 100 year event for the Baseline and Climate Change scenarios. Overall appearance shows a similar spatial distribution of speed reductions with slight increases (higher negative values) in reductions for the Climate Change Scenario.

**Figure 14.** Comparison of speed differences for 1 in 100-year event for Baseline and Climate Change Scenarios.

Figure 15 shows a comparison of the derived Exceedance Probability (EP) Curves for the Baseline and Future Climate Change prediction scenarios based on summation of all the link cost values. This curve was derived via plotting the total accumulated losses for a pluvial flood event across the network with respect to the probability of occurrence (1/Return Period) of the event. Here, we see that under future climate change conditions the predicted monetary losses/impacts when traffic disruption increases with respect to the severity of the flood event. Table 7 shows a comparison of the loss values with an average increase of monetary losses due to the vehicular speed in the network was reduced by 10% or more under future climate change scenarios.

**Figure 15.** Flood Impact on Traffic EP Curves for Barcelona.


**Table 7.** Monetary losses as a result of traffic speed disruption.
