Big Data and Areas of Opportunity for the Projection of the Intelligent Transportation System in Bogotá, Colombia

Abstract

Today, the large cities of Colombia – especially Bogotá, due to the growth of its population (9.3 million with the arrival of immigrants) – demand the projection of intelligent public and private transport systems, as an achievement of the mobility policy of the Bogota Humana administration. Hence, this question arises: What are the challenges and areas of opportunity of adapting Big Data to project an Intelligent Transportation System for all citizens in Bogotá? Based on this question, our aim is to determine the contributions that Big Data offers as a collection center for the projection of an intelligent system for the city. Our research was proposed with a qualitative approach and a descriptive study. The review of some studies developed using Big Data techniques and content data analysis of their organized structure by the District Mobility Secretariat in Bogotá was included. The results allow guiding the contributions of Big Data after analyzing the structure of indicators offered by the data set. From these, we found gaps and voids that are concerning for the Intelligent Transportation System that is expected in the future for Bogotá.

Keywords

• data analytics
• data gaps
• indicators
• technology
• data volume
• methodology