CSV _ Urban Analysis Tool

MaCT 2019/2020

Faculty: Luis Falcón

Students: Byron Cadena, Pawitra Bureerak, Akshay Marsute

Current technology allows people to be permanently connected at a digital level, creating an enormous amount of data. While private entities use this information to improve their products and create new proposals based on user needs, cities have had more difficulties to create regulations and plans on par with the dynamism of contemporary events. The governance system of cities must evolve into a bottom-up design with inclusive policies based on social value and problems found at a local scale in urban life. The so-called Information Society should develop systems to transfer information in a transparent, immediate manner. Thus, citizen participation becomes a key factor for decentralization of decision-making and project implementation. This phenomenon has led researchers to question the current model and propose a tool to develop policies considering the social value and specific conditions of a site. Collecting, classifying and visualizing data from a city population census and social networks such as Twitter, Airbnb, Foursquare and TripAdvisor in order to create dynamic simulations of the social conditions in the territory.

A user interface to help decision-makers to gain full perspective of the social conditions of the population and territory. It also provides the population with better understanding of their environment and a place for comments on the areas where they live. This adds a new layer of data for the tool and helps the municipality, real estate agents, and consultants to truly consider the perspective of the citizens

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