**5. Conclusions**

Two case studies each with different traffic modelling approaches were presented within this paper. Both cases have differing qualities and sources of input data where one has been derived from traffic counts/surveys within the city and the other approximated from land-use classifications. The two approaches both demonstrate the feasibility of loosely coupling traffic models to flood mapping as a basis of assessing the potential impacts to traffic flows within the city. The Barcelona case study illustrates how changing parameters within the model input data can serve to approximate the effects of flooding within the model. The Bristol case study shows that even with limited data, we can begin to create a traffic model for basic impact assessment that can be built upon within the future. In addition, the micro-scale approach used within the Bristol case study shows the effect of flooding is not solely limited to the duration of the flood and that the impact assessment needs to consider the recovery time of the network.

**Author Contributions:** The main author B.E. worked on each component of the paper including the conceptualization, methodology, software, modelling, analysis and validation, and original draft. A.G.G. facilitated with the modelling and validation with respect to the Barcelona case study and the review and editing of the paper. S.D., A.S.C., J.W., and J.S. were each involved with the validation processes of the research and the review and editing of the paper. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research was funded by the European Union's Horizon 2020 Research and Innovation Programme, RESCCUE project grant number 700174.

**Acknowledgments:** The author would like to thank Katya Pyatkova for her support with the development of the micro-scale traffic model for the city of Bristol.

**Conflicts of Interest:** The authors declare no conflict of interest.
