Modelo de caracterización y focalización del espacio público desde el enfoque de ciudad sustentable e inteligente. Caso Bogotá

Abstract

This research proposes to identify, through spatial indicators, intervention and prioritization zones to transform the city of Bogota into a sustainable and intelligent city in the future. The study is based on the selection and analysis of concepts of possible city models that incorporate resilient, environmental and social conditions, among other characteristics. Finally, two avant-garde approaches are integrated: smart cities and sustainable cities, in a single city model. Subsequently, a review and selection of indicators and relevant variables for a city to be considered sustainable and smart in terms of its Pedestrian Public Space was carried out. A total of seven indicators were selected. Once defined, these indicators were diagnosed in the city of Bogotá, incorporating a spatial component that made it possible to categorize the city's zones according to the selected indicators. Based on this diagnosis, an index was constructed that combines the spatial component, which made it possible to prioritize the areas that require urgent intervention in the short term, in order to initiate the transformation of the city toward a sustainable and intelligent model.

The final chapter presents a short-term scenario through the materialization of the spatial prioritization model, which would positively influence the transformation of Bogota into a sustainable and intelligent city, specifically in the variables and indicators that require urgent intervention. This analysis reveals that the main problems are found in the peripheral areas of the city, with Suba, Usaquén, Usme and Ciudad Bolívar being the localities with the greatest urgency for intervention. The proposed research offers an alternative to analyze and propose different city models, such as resilient cities and green cities, in aspects such as security, health, recreation, sports and culture. The development of research in this field and methodology will allow the elaboration of more objective and accurate development plans, as well as the implementation of policies, programs and projects focused on technical variables, which can be linked to social and governance issues.