## 3 Results
### Computation of the Uniform Effect Measure Vector  
The matrix of uniform effect measures for the \(k\) objective is presented below. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multirow{2}{*}{**No.**} & \multirow{2}{*}{**Region, Prefecture, and City**} & \multicolumn{2}{c}{**Length of Railway in Operation (km)**} & \multicolumn{2}{c}{**Total Length of Highway (km)**} & \multicolumn{2}{c}{**Land Area**} & \multicolumn{2}{c}{**Permanent Population (Person)**} & \multicolumn{2}{c}{**Gross Regional**} & \multicolumn{2}{c}{**Beds Available at Medical**} \\  & & & **(km)** & **(km)** & **(person)** & **(person)** & **Product (CNV)** & **Institutions (Bed)** \\ \hline
1 & Urumqi & 422.46 & 2903.70 & 13,794.98 & 4,054,369 & 3337.32 & 33,191 \\
2 & Karamay & 215.40 & 1169.11 & 7746.00 & 490,348 & 886.90 & 2011 \\
3 & Turpan & 728.41 & 6244.02 & 69,866.56 & 693,988 & 373.41 & 3772 \\
4 & Hami & 1710.61 & 13,657.37 & 138,199.10 & 673,383 & 607.91 & 3195 \\
5 & Changji Hui & 427.56 & 10,840.18 & 735,53.23 & 1,613,585 & 1387.25 & 9542 \\  & Autonomous Prefecture & & & & & & \\
6 & Ii Kazakh Autonomous & 277.91 & 9820.98 & 55,763.41 & 2,778,869 & 1266.01 & 19,298 \\
7 & Tacheng Prefecture & 539.95 & 13,485.92 & 94,926.27 & 1,108,747 & 737.57 & 6115 \\
8 & Alday Prefecture & 509.85 & 13,953.10 & 117,063.10 & 648,173 & 334.53 & 3740 \\
9 & Bortla Mongoi & 263.62 & 3001.98 & 24,286.17 & 433,467 & 377.14 & 2634 \\ Autonomous Prefecture & & & & & & \\
11 & Bayingolin Mongol & 1380.88 & 22,402.26 & 471,470.80 & 1,509,233 & 1106.29 & 9821 \\
12 & Autonomous Prefecture & 105.88 & 11,854.38 & 128,491.20 & 2,714,422 & 1315.05 & 15,409 \\
11 & Kizilsu Kyrygz & 556.03 & 8287.08 & 71,359.11 & 622,222 & 169.24 & 8053 \\ Autonomous Prefecture & & & & & & \\
13 & Kashgar Prefecture & 491.55 & 11,389.05 & 112,491.10 & 4,496,377 & 1130.22 & 28,953 \\
14 & Hotan Prefecture & 200.87 & 11,121.46 & 249,965.80 & 2,441,231 & 406.32 & 17,732 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: The basic data for the optimization scheme pertaining to the site selection of region- and city-level emergency supply reserve warehouses in Xinjiang. \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Emergency Supply Reserve Warehouses**} & \multicolumn{2}{c}{**Density of Road Networks (km/km2)**} & \multicolumn{2}{c}{**Population Density (Person/km2)**} & \multicolumn{2}{c}{**Economic Density (CNY 100 Million/km2)**} & \multicolumn{2}{c}{**Post-Disaster Response Capability (Number of Beds per 1000 People)**} \\ \hline Urumqi & 0.0872 & 293.9018 & 0.2419 & 8.1865 \\ Karamay & 0.0665 & 63.3034 & 0.1145 & 4.1012 \\ Turpan & 0.0353 & 9.9330 & 0.0053 & 5.4353 \\ Hami & 0.0396 & 4.8726 & 0.0044 & 4.7447 \\ Changji Hui Autonomous & 0.0503 & 21.9376 & 0.0189 & 5.9135 \\ Prefecture & 0.0588 & 49.8332 & 0.0227 & 6.9446 \\ Tacheng Prefecture & 0.0486 & 11.6801 & 0.0078 & 5.5152 \\ Altay Prefecture & 0.0405 & 5.5370 & 0.0029 & 5.7701 \\ Bortla Mongol Autonomous & 0.0463 & 17.8483 & 0.0155 & 6.0766 \\ Byingolin Mongol Autonomous & & & & \\ Prefecture & 0.0170 & 3.2011 & 0.0023 & 6.5073 \\ Aksu Prefecture & 0.0296 & 21.1254 & 0.0102 & 5.6767 \\ Kizilsu Kyrygz Autonomous & 0.0419 & 8.7196 & 0.0024 & 12.9423 \\ Prefecture & 0.0348 & 39.9709 & 0.0100 & 6.4392 \\ Hotan Prefecture & 0.0145 & 9.7663 & 0.0016 & 7.2635 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: The values of each indicator in the optimization scheme for site selection of regions, preferences, and city-level emergency supply reserve warehouses in Xinjiang.