# Multiagency Modeling of Transformation Strategies Towards Sustainable Smart Cities
## 4 Possible Development of the Proposed Model
For a visualization of this concept (Figure 4b), the RGB additive color model (in the additive RGB color model, red, green, and blue light are added together in various ways to reproduce a broad array of colors, as an example on the TV and computer screens) was used. Red, green, and blue colors of various intensities correspond to the axes defining the position of a given city in the smart city cube (the city's potential, ICT infrastructure, and quality of life). Their superimposition in equal proportions gives an achromatic color scheme. Zero intensity for each component gives the darkest color (black), and the highest intensity of each gives white. The achromatic line (the diagonal of a cube) defines the level of smartness of the cities analyzed using this model. The cities showing sustainable development characteristics are placed along this diagonal. A hypothetical zero-smartness level city will be at the origin of the \(x\) (city's potential), \(y\) (quality of life), and \(z\) (ICT infrastructure) axes so that this origin can be considered the starting point for the smart city transformation. All three values were in balance, which, at its zero level, resulted in black (zero smartness). As the values increased equally along the x, y, and z axes, they fulfilled the conditions for sustainable development and defined the level of smartness of the analyzed city. The perfect zero-dimensional cube diagonal is the asymptotic pattern of the ideal level of smartness. In real life, various social, economic, cultural, political, and organizational conditions result in a model of smart city development that has a vast space around the diagonal, and variable boundaries. This may be visualized as an upside-down model. In this model, sustainable development was quantified at a range of levels but not necessarily on a quantitative scale. In practice, this means that the three components of development--city's potential, quality of life, and ICT infrastructure--should reach the standard range, i.e., medium or high. This assumption underlies the separation of a solid geometrical object from a non-metric, three-dimensional smart city evaluation space. The cities depicted in yellow, purple, and blue solid objects (Figure 4b) cannot be called entirely smart because at least one of the components was at a low level. The city represented by the grey cube was on the smart path, namely, in its developing phase. For a utopian super-smart or perfect smart city (the white dot on Figure 4b), all components reached the equal and maximum level of the contemporary enlightenment, which, using the analogy of the RGB color space, was white. One may note that not all of the cities have to reach this level; some will never reach it because of their external conditions. It may be enough for them to become sustainable organisms staying inside the cone, although only in its dark grey part. It is up to the city's authorities to assess the current position of their city and to draw its development path, not necessarily one ending in the utopian White Dot City. When analyzing the various methods and variants of classifying the level of smartness of smart cities, it is essential to emphasize that it should be treated as a stochastic process, not a single \"freeze-frame.\". It is a process that evolves in many ways, one of which worth considering is the evolving and expanding non-metric space of characteristics defined by the city's potential, quality of life, and ICT infrastructure parameters (Figure 5). The essential and simplified variant assumes that within the system of the proposed smart city cube, the analyzed city has a defined, fixed place in the adopted coordinate system. This suffices for many applications and evaluations, as this model can be used, for example, to compare the development of different cities at any given moment. However, when establishing a long-term strategy for the city's development, it may be necessary to adopt a more sophisticated solution.