Metrics and Indicators to evaluate the degree of transformation to Smart City of a city. An Ad-Hoc Quality Model

Abstract

The extreme levels of intensity with which people live in large urban centers began to affect the productivity and quality of life of cities and their inhabitants, some of which have reached extremes close to collapse, as is the case of traffic congestion in the main cities of the world. On the other hand, from digital innovation and economic development, it is necessary to provide intelligent solutions to current problems, promoting the entrepreneurial ecosystem and the collaborative economy. Each government should administer, manage and update information from each region, and distribute it in the most convenient way to each company or agency that is part of a smart city. To achieve smart cities, we must train digital citizens and take into account the accessibility conditions provided by technology. For this, the implementation of Internet of Things (IoT) at all possible levels is of the utmost importance. From these points of view, mobility has become a central issue of urban development. Its relationship with sustainability issues and its ability to generate competitiveness and quality of life, puts us before the need to rethink its future. These are certain considerations to include in possible models of quality that allow to study the degree of intelligence of the cities. When talking about indicators or metrics, it begins to pose a problem of being able to generalize / extend each of these measures. In this line of research, a board of metrics and indicators has been defined that are applicable to an ad hoc quality model whose