For urban and transport planning it is important to have tools that allow to understand the mobility patterns of people throughout the cities. Understanding the mobility flows that occur in a city enables appropriate infrastructure and policy decisions that provide transportation alternatives and encourage efficient ways of moving around, especially taking into account the problems of traffic congestion and environmental pollution, caused by transport and the direct relationship it has with the health and life quality of citizens.

The Walkability index is a tool that seeks to describe the pedestrian flow in each of the streets of Buenos Aires City and 40 districts in the Province of Buenos Aires. This service is designed entirely with tools that process big data, such as the one acquired from the electronic ticket system of transportation (SUBE).

It is a service that provides state organizations with information on the mobility of individuals considering street and time period, to make data-driven decisions for public policies. We aim to become a more sustainable city.

The project is delivered to the different areas that required it in a BI dashboard, and it will also be included in the new version of the Map of Commercial Opportunities, a platform for citizens.

https://www.buenosaires.gob.ar/educacion/ciencia-tecnologia-e-innovacion/ciudad-inteligente/ciencias-de-la-informacion

• Ciudada Autónoma de Buenos Aires, Argentina

• Youth
• Older persons
• Women
• People with disabilities

It is replicable as long as the different local governments can gather the necessary data. We provide consulting services to implement the variables and indicators according to the available data of each area. We also want to provide more tools and developments in open source software.

Before, when carrying out mobility analysis, a series if methodologies were used to collect information on the citizens`s way of transportation. These were based on household surveys and public or private travel journals, among others. However, these methodologies represented high costs for local governments, which meant they were completed every 5 or 10 years, generating obsolete information at the time it was processed. In addition, these methods also caused unsustainable resources.

Nowadays, with the advance of information processing technologies, we are able to take advantage and use real-time data generated in the city. This data revolution is changing the way information is analyzed, the time periods to access information performing analysis, waiting times for this information and making more efficient data-driven decision-making.

We contribute to the continuous improvement of the citizen's quality of life in an innovative way through participatory and interdisciplinary technologies and management between government areas.