Project Details


WSIS Prizes Contest 2020 Champion

Sidewalk Predictive Model of Buenos Aires City


Description

Cities are constantly growing and with them, the need to develop and maintain an infrastructure that allows neighbors to live with good quality conditions. It is a challenge for local governments to be able to meet these demands, which is why it is very important to incorporate innovative tools that provide fast and efficient solutions.

The General Directorate of Information Sciences together with the General Directorate of Intervention Planning in Pedestrian Paths - in charge of the planning of the maintenance of the Sidewalks - decided to design and develop the Predictive Analysis Model of Sidewalks. On one hand, this tool seeks to determine which paths are more likely to break; and on the other, which are the companies that generate the most breakage -due to underground arrangements- as well as those that have a low degree of efficiency in the repairs they make.

The final product will be displayed on a Power BI dashboard for an easier and faster preview.
The Sidewalk Predictive Model of Buenos Aires city aligns with the idea of generating data-driven public policies to achieve innovative, efficient solutions to improve quality of life of the residents of the city.

Project website

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


Images

Action lines related to this project
  • AL C1. The role of governments and all stakeholders in the promotion of ICTs for development
  • AL C6. Enabling environment
  • AL C7. E-environment 2020
Sustainable development goals related to this project
  • Goal 9: Industry, innovation and infrastructure
  • Goal 11: Sustainable cities and communities
  • Goal 12: Responsible consumption and production

Coverage
  • Ciudad Autónoma de Buenos Aires, Argentina

Status

Ongoing

Start date

2017

End date

Not set


Target beneficiary group(s)
  • Youth
  • Older persons
  • Women
  • People with disabilities

Replicability

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 software and source.


Sustainability

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 waiting time to access and process this information and making decisions more efficient and data-driven. In this sense, the data analysis allows us to have a more accurate knowledge about those companies that may be making non-sustainable repairs, which may result in the need to repeat those works and therefore involve a waste of resources and contribute to the effects of pollution that a construction produces on public roads and neighborhoods.


WSIS values promotion

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


Entity name

General Directorate of Information Sciences (DGCINF)

Entity country—type

Argentina Government

Entity website

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

Partners

DG of Information Sciences (Undersecretariat of Smart City and Educational Technology) Under Secretary of Pedestrian Trails - Ministry of Environment and Public Space.