## 3 Experimental Section: Matrix Development
### Matrix Development  
In order to design the matrix properly, all the preceding requirements must be considered. These will be entered into a double-entry table called the Technologies Analysis Matrix (TAM) (Table 1), allowing the combination of each factor with all the others (1.a; 3.c; 7.e;...). In every line and column we can achieve sub-total qualifications making an average calculation of different elements (T1, T2; Ta, Tb;...). This will permit a quick look on analyzing the impact and effects of the analyzed technology over each of them. At the same time, the average data of the final results on every line and column will determine the final score of the technology, considering the inter-relationship of all factors (TT).  
For this to be possible, a previous consideration over the impact of each element must be done, regarding the weight of each one on city planning, spatial configuration and social impact. In order to simplify the process and obtain a quick evaluation, each element must have an intuitive range of evaluation, similar to checklist of the different elements. An example of how this process would work for a specific technology (Technology X) can be seen (Table 2).  
In this case, the different scores are:  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Technology**} & \multicolumn{2}{c}{**XX**} & \multicolumn{2}{c}{**Type**} & \multicolumn{3}{c}{**(Perceive/Store/Actaute)**} \\ \cline{2-7}  & **a. User** & **b. Social** & **c. Urban** & **d. Environmental** & **e. Economic** & **f. Energy reqs.** & **Total** \\ \hline
1. Usefulness & 1.a & 1.b & 1.c & 1.d & 1.e & 1.f & **T1** \\
2. Functionality & 2.a & 2.b & 2.c & 2.d & 2.e & 2.f & **T2** \\
3. Applications & 3.a & 3.b & 3.c & 3.d & 3.e & 3.f & **T3** \\
4. Expected results & 4.a & 4.b & 4.c & 4.d & 4.e & 4.f & **T4** \\
5. Consequences & 5.a & 5.b & 5.c & 5.d & 5.e & 5.f & **T5** \\
6. Advantages & 6.a & 6.b & 6.c & 6.d & 6.e & 6.f & **T6** \\
7. Disadvantages & 7.a & 7.b & 7.c & 7.d & 7.e & 7.f & **T7** \\
8. Risks/benefits & 8.a & 8.b & 8.c & 8.d & 8.e & 8.f & **T8** \\
**Total** & **Ta** & **Tb** & **Tc** & **Td** & **Tc** & **Tf** & **TT** \\ \hline \hline \end{tabular}
\end{table}
Table 1: Technologies Analysis Matrix (TAM) main concepts and qualification.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**1. Usefulness** & **Poor (1)** & **Average (2)** & **Good (3)** & **Very Good (4)** & **Excellent (5)** \\ \hline a. User & & & **O** & & \\ b. Social & & **O** & & & \\ c. Urban & & & & **O** & \\ d. Environmental & & & & **O** & \\ e. Economic & **O** & & & & \\ f. Energy Requirements & & & & & **O** \\ \hline \hline \end{tabular}
\end{table}
Table 2: Technology X scoring process.  
And the final score is the average of these scores: T1 = (3 + 2 + 4 + 4 + 1 + 5)/6 **T1 = 3.17**  
At the same time, it is possible that in some cases a proposed solution will require not just one tool, but rather a combination of tools. In that case, the whole project for a Smart City will have a final score as the average score of the combined tools. Furthermore, a city would consider different factors to serve the needs of its citizens. The proposed solutions must fit three fundamental areas: mobility (m), energy (e) and quality of life (q), applying a correction coefficient for each.  
Finally, in order to evaluate the final score of a City to be considered as Smart in a more graphic and visual way, this score must operate as a labeling system, similar to electronic equipment or building energy efficiency certification systems, called as SCM: Smart Cities Matrix (Table 3).  
The final labeling will represent at a glance an easy scoring of the Smart City strategy, and will be represented by a letter that will have a range between F (scoring from 0.00 to 0.50), E (from 0.51 to 1.00), D (from 1.01 to 1.75), C (from 1.76 to 2.5), B (from 2.51 to 3.50) and finally the best score: A (from 351 to 5).