Research Article

Discrete Robustness Optimization on Emergency Transportation Network Based on Prospect Theory

Table 1

Values of related parameters.

No.ei,jdi,j (km)ti,j (h)Distance to v18 (km)Distance to v19 (km)
ri,18rj,18ri,19rj,19

1(1,4)34.420.95145.33113.12154.63119.35
2(1,5)47.271.21145.33117.03154.63114.71
3(1,7)51.041.52145.3396.63154.63112.28
4(2,4)33.230.78150.23113.12146.18119.35
5(2,5)32.780.84150.23117.03146.18114.71
6(3,4)41.861.04140.54113.12133.74119.35
7(3,5)25.190.62140.54117.03133.74114.71
8(3,6)35.131.12140.54113.79133.74102.39
9(4,7)280.63113.1296.63119.35112.28
10(4,8)25.140.75113.1294.73119.3595.13
11(4,10)50.091.21113.1264.48119.3581.61
12(5,6)25.360.67117.03113.79114.71102.39
13(5,8)23.580.65117.0394.73114.7195.13
14(5,9)41.051.05117.0388.58114.7176.47
15(6,8)33.380.73113.7994.73102.3995.13
16(6,9)26.920.84113.7988.58102.3976.47
17(6,11)49.11.36113.7965.12102.3965.23
18(7,8)32.120.7996.6394.73112.2895.13
19(7,10)31.660.8196.6364.48112.2881.61
20(7,11)50.121.2396.6365.12112.2865.23
21(7,14)59.351.7796.6337.56112.2867.67
22(8,9)31.780.7194.7388.5895.1376.47
23(8,10)33.720.9794.7364.4895.1381.61
24(8,11)32.220.8594.7365.1295.1365.23
25(9,11)27.550.6388.5865.1276.4765.23
26(9,12)29.920.8688.5865.3276.4746.48
27(9,15)48.271.0988.5842.0676.4734.67
28(10,11)26.760.5864.4865.1281.6165.23
29(10,13)25.660.7464.4842.781.6157.08
30(10,14)29.970.9064.4837.5681.6167.67
31(11,12)31.250.8765.1265.3265.2346.48
32(11,13)23.260.665.1242.765.2357.08
33(11,15)30.960.6965.1242.0665.2334.67
34(12,15)25.360.7765.3242.0646.4834.67
35(12,17)30.050.965.3246.4346.4818.97
36(13,14)19.730.4542.737.5657.0867.67
37(13,15)24.430.5942.742.0657.0834.67
38(13,16)28.860.7442.724.6157.0832.99
39(13,18)44.210.9842.7257.0845.7
40(14,16)34.670.7737.5624.6167.6732.99
41(14,18)38.181.0637.56267.6745.7
42(15,16)17.430.4842.0624.6134.6732.99
43(15,17)20.130.5242.0646.4334.6718.97
44(16,17)25.390.6024.6146.4332.9918.97
45(16,18)25.10.5624.61232.9945.7
46(16,19)32.680.8824.6145.1432.992
47(17,19)18.030.4546.4345.1418.972