Table 1.
Changes in the number of nodes from the peak scenario for normalized node betweenness centrality and closeness centrality, and changes in the number of edges for the normalized edges betweenness centrality.
Fig 1.
Complementary distribution functions for baseline conditions and 2 flooding scenarios, based on main roads at least 3 m wide.
Edge and node betweenness centralities were calculated using average road widths as network weights.
Fig 2.
Spatial distribution of edge betweenness centrality in Zurich network of roads at least 3 m wide, under the following scenarios: Baseline conditions, peak flood within 100-year return period, or peak flood within 300-year period.
For each network edge, EBC was evaluated by dividing number of shortest paths through edge by total number of shortest paths within network. Values of edge betweenness were normalized with (N)(N-1), where N was number of nodes under baseline conditions. Figure presents values equal to or larger than 0.99-quantiles. Reprinted from National Map 1:25000 on sheet 1091 under a CC BY license, with permission from the Federal Office of Topography Swisstopo (original copyright 2019).
Fig 3.
Spatial distribution of node betweenness centrality for Zurich road network under baseline conditions (A) or peak flood scenarios (B, C).
Results were calculated for system of roads at least 3 m wide. Betweenness centrality was evaluated for each network node by dividing number of shortest paths through nodes by total number of shortest paths within network. Values of betweenness were normalized with (N-1)(N-2), where N was number of nodes under baseline conditions. Figure presents values equal to or larger than 0.99-quantiles. Reprinted from National Map 1:25000 on sheet 1091 under a CC BY license, with permission from the Federal Office of Topography Swisstopo (original copyright 2019).
Fig 4.
Spatial distribution of normalized closeness centrality for network featuring roads at least 3 m wide.
Values for CC were calculated for each node, dividing by total sum of shortest-path lengths within network, and were normalized with (N-1), where N is number of nodes for given scenario. Figure presents values equal to or larger than 0.99-quantiles. Reprinted from National Map 1:25000 on sheet 1091 under a CC BY license, with permission from the Federal Office of Topography Swisstopo (original copyright 2019).