Data and code of article "An integrated hydro-traffic modeling approach for assessing the impact of urban storm on road network performance"

This dataset includes: visualization.ipynb is the Python code used to plot the figures (except the GIS maps) in the Results section. Edemo.ipynb is the code used to illustrate the differences between the revised weighted network efficiency NE_R and the unweighted network efficiency using a demo network. The figure in section 2.3 (road network analysis model) was also plotted with this script. The input files of the two scripts mentioned above are as follows: E_addT6.csv, P20-r05-t360_rain.csv, Edemo-each.csv, simplify_demo.csv. shpfile.zip stores the shpfiles of the reconstructed drainage network data, including conduits, junctions, outfalls, river nodes, and river junctions. These features can be used to construct the SWMM model. validate_water_depth.csv contains the water depth estimated from crowdsourced photos and the simulated water depth, which were used to calculate the validation metrics such as ME, MAE, and RMSE.