## 4 Materials and Methods
Conversely, AGEBs are classified as Middle-Low socio-environmental vulnerability if their value falls between the mean and minus one standard deviation, Low if it is between one and two standard deviations below the mean, and Very Low if the value is below two standard deviations. As part of the SEVI acquisition process, it is necessary to establish the weighting value, which for the purposes of this research was the same for each indicator (Table 1), representing equal relative weight and therefore importance in the overall context. This is part of an initial approach to designing the SEVI in the municipality of Tijuana, following the  
Figure 5: Components for the Development of the SEVI. method outlined by [PERSON] [37], [PERSON] et al. [38], and [PERSON] [43], where the sum of the weights equals 1. The index value per AGEB is determined using the following equation, with the values of the mean, standard deviation, and weighted sum of each of the indicators considered, under the multidimensional methodological framework outlined by CONAPO [83] and [PERSON] et al. [46], due to its feasibility in its application in the case study:  
\[SEVI=\sum_{J=1}^{19}a_{j}\ Z_{ij}\]  
\(SEVI=\text{Socio-Environmental Vulnerability Index by AGEB}\)  
\(J=\text{Represents each of the vulnerability indicators}\)  
\(a_{j}=\text{Weight assigned to vulnerability indicator }j\) (in this case, a weight of 0.5263 is considered)  
\(Z_{ij}=\text{Standardized value of each vulnerability indicator }j\), where the percentage value is subtracted from the mean, and the difference is divided by the standard deviation of each socio-environmental indicator. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Dimensions** & **Variables** & **Indicators** & **Weighting** \\ \hline \multirow{3}{*}{Social} & Education & \% of population aged 15 and over that is illiterate & 0.0526 \\  & Health & \% of population aged 15 and over without schooling or low levels of education & 0.0526 \\ \cline{2-4}  & \multirow{2}{*}{Health} & \% of population without affiliation to health services & 0.0526 \\ \hline Economic & Employment & \% of population aged 12 and over and unemployed & 0.0526 \\ \hline \multirow{6}{*}{Housing} & \multirow{6}{*}{Housing} & \% of inhabited housing with earthern floor & 0.0526 \\  & & \% of inhabited housing without electricity & 0.0526 \\  & & \% of inhabited housing without pipel water & 0.0526 \\  & & \% of inhabited housing without touilet facilities & 0.0526 \\  & & \% of inhabited housing without drainage & 0.0526 \\  & & \% of inhabited housing without refrigerator & 0.0526 \\  & & \% of inhabited housing without washing machine & 0.0526 \\ \hline \multirow{3}{*}{Physical} & \multirow{3}{*}{Physical and Infrastructure} & \% of blocks with partially or unpaved roads & 0.0526 \\  & & \% of blocks with partially or unpaved sidewalks & 0.0526 \\ \cline{1-1}  & & \% of blocks with some or no trees on the roads & 0.0526 \\ \cline{1-1}  & & \% of area with irregular settlements & 0.0526 \\ \hline \multirow{3}{*}{Environmental} & \multirow{3}{*}{Environmental} & \% of area at risk of flooding & 0.0526 \\ \cline{1-1}  & & \% of clandestine sites with inadequate waste disposal & 0.0526 \\ \cline{1-1}  & & \% of industrial activity concentration & 0.0526 \\ \cline{1-1}  & & \% of area without garbage collection service coverage & 0.0526 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Dimensions, variables, indicators, and weighting of the SEVI. Figure 6: SEVI levels. This equation allows for carrying out a multidisciplinary analysis (physical, environmental, social, infrastructure, etc.) with multiple variables. Once the SEVI value by AGEB has been determined, an analysis will be conducted on a larger territorial scale by municipal delegation. This will demonstrate the administrative practices implemented in each delegation concerning the management of socio-environmental conditions, which subsequently impact the population and their environment.