Urban Road Network Emergency: An Integrative Vulnerability Identification Method

Table 10

Comprehensive identification results of road network vulnerability based on connectivity, network efficiency, and traffic performance.

Arcs	ΔG′	ΔE′	ΔL′		Vulnerability level
12	1	0.458484	0.897775	0.839672622	4
23	0.666656	0.310469	1	0.701403462	3
37	1	0.6787	0.222352	0.653924174	3
11	0.666656	0.512635	0.703774	0.64422256	3
24	0.666656	0.404332	0.752363	0.63631881	3
38	1	0.238267	0.385181	0.609614902	2
15	0.666656	0.487365	0.534852	0.579287444	2
33	0.666656	0.31769	0.544039	0.543477668	2
5	0.333312	0.231047	0.978674	0.535667593	2
10	0.333312	0.610108	0.693635	0.523088253	2
27	1	0.036101	0.25151	0.516331787	2
36	1	0.151625	0.112119	0.494115447	1
17	0.666656	0.32491	0.326858	0.469125175	1
49	0.666656	0.32852	0.27224	0.450839102	1
2	0.333312	0.050542	0.83529	0.443967135	1
53	0.333312	0.31769	0.579073	0.415735252	1
56	0.333312	0.34296	0.562332	0.415688156	1
18	0.666656	0.140794	0.258738	0.402936491	1
13	0.333312	0.33574	0.527706	0.401908448	1
16	0.333312	0.570397	0.370886	0.40099232	1
3	0.333312	0.057762	0.668822	0.387364017	1
1	0.333312	0	0.571548	0.340032836	1
4	0	0.32491	0.751196	0.337647674	1
48	0.333312	0.129964	0.414113	0.314822252	1
31	0.333312	0.148014	0.369216	0.303260111	1
40	0.333312	0	0.405529	0.281926296	1
54	0.333312	0.454874	0.080783	0.272886104	1
46	0	0.144404	0.6771	0.270197893	1
14	0	0.101083	0.450253	0.180837486	1
39	0	0.086643	0	0.019927798	1