## 3 Results
### Determination of Decision Objectives
#### 3.2.1 Density of Road Networks  
The road vector data utilized in this study are sourced from the 1:1,000,000 scale public edition of basic geographic information data (Edition 2021), available through the National Catalogue Service for Geographic Information. The highway mileage, railway mileage, and land area within the 96 county-level administrative divisions in Xinjiang are computed based on these data. The density of road networks is defined as the absolute ratio of a region's length of road networks to its land area [53]. To precisely depict road density and investigate the varying impacts of highways and railways within an administrative division, the densities of highway networks and railway networks for each region are computed. The Entropy Evaluation Method (EEM) is then utilized to weigh the densities of highway networks and railway networks, resulting in the comprehensive network density for the region. The computational formula is as follows:  
\[V_{i1}=L_{i}/A_{i},\;i\in(1,\;2\ldots 96) \tag{4}\]  
\[V_{i2}=l_{i}/A_{i},\;i\in(1,\;2\ldots 96) \tag{5}\]  
\[V_{i}=W_{1}\times V_{i1}+W_{2}\times V_{i2} \tag{6}\]  
\begin{table}
\begin{tabular}{c c} \hline
**Author** & **Factors and Objectives Influencing Site Selection of Emergency Supply Reserve Warehouses** \\ \hline
[19] & Natural conditions, transportation conditions, public facilities, social benefits, costs, etc. \\
[46] & Adherence to convenient transportation and alignment with local socio-economic development \\
[9] & Safety factor, transportation factor, social environment factor, public facility factor, and economic factor \\
[47] & Population distribution, economic situation, transportation, etc. \\
[48] & Natural conditions, environmental conditions, cost factor, policy environment, and other factors \\  & Level of regional economic development, natural geographical location, level of logistics development, \\
[49] & extent of disaster impact, comprehensive transportation accessibility, infrastructure competitiveness, \\  & attention to emergency policies, etc. \\
[50] & Population distribution, economic conditions, and transportation situation \\
[51] & Potential disaster threats, population characteristics, economy, education, etc. \\
[18] & Accessibility, operating costs, land utilization, impact on surrounding residents, and development costs \\
[52] & Economy, transportation, logistics level, and disaster rate \\ \hline \end{tabular}
\end{table}
Table 1: Analysis of factors and objectives influencing site selection of emergency supply reserve warehouses.  
where \(A_{i}\) represents the land area within the region \(i\) (in km\({}^{2}\)); \(L_{i}\) and \(l_{i}\) represent the highway mileage (in km) and railway mileage (in km) within the region \(i\), respectively; \(V_{i1}\) and \(V_{i2}\) represent the density of highway networks (in km/km\({}^{2}\)) and the density of railway networks (in km/km\({}^{2}\)) within the region \(i\), respectively; \(W_{1}\) and \(W_{2}\) represent the weights for densities of highway network and railway network computed using the EEM, respectively; and \(V_{i}\) represents the density of road networks within the region \(i\).