We are glad to announce that the “The study on the Impact Evaluation of the Smart Cities”, in which Open Evidence was responsible for the technical direction, has been published in Spanish and it is now available on the Centro de Estudios Telecomunicaciones de America Latina (CETLA) website.
The report aimed at providing a framework for evaluation that could be used for the local and municipal authorities to address interventions in the domain of Smart Cities. The concept of Smart Cities has acquired prominence in different domains such as the academic, the local administrations and the business world. Still, there is no globally accepted definition for the concept, which within the study we describe as The city that seeks to address public issues through ICT-based solutions. Some publications describe the dimensions of Smart Cities, however, publications focusing on the evaluation of Smart Cities projects are still very scarce. We identified some tools to evaluate programmes in specific domains of Smart Cities but not a specific framework that is applicable to the set of Smart Cities. That’s why our report intends to cover the gap by proposing a detailed method, which consists of an analytic model for decision-making.
The framework is mainly aimed at analysing the expected results of interventions before its application, in order to be able to decide if its implementation is convenient (ex-ante evaluation). It is based on Markov models, which define different states and some associated costs and effects. For example, a city can be in different states depending on the level of pollution. Costs can refer, among others, to the implementation of the new programme, or the costs of running a specific service. On the other hand, effects can be measured by a wide variety of indicators such as the number of deaths due to respiratory diseases or the tones of C02 emissions. It is also possible to combine several indicators. The model establishes the probability that the population moves from one estate to another, depending on the expected impact of the intervention. The ultimate goal is to compare aggregated costs and impacts of distinct interventions in order to provide key information to decision-making authorities. This comparison is displayed in a cost-effectiveness plane.