Use Cases
On this page, you can access some of the dashboards developed for the different partners of NOVA Cidade – Urban Analytics Lab and which we share with the public here.
On this page, you can access some of the dashboards developed for the different partners of NOVA Cidade – Urban Analytics Lab and which we share with the public here.
Cities committed to sustainability understand the importance of data-driven decision-making.
Our research in partnership with Porto Digital, with the title “Urban dynamic in high spatiotemporal resolution: The case study of Porto” explores the power of data in evaluating urban environments by introducing the Urban Dynamic Indicator (UDI), a composite metric to measure urban dynamic in Câmara Municipal do Porto.
“Na Minha Rua” (https://lnkd.in/dazvhQuE) has published data through the Lisboa Aberta open data portal (https://lnkd.in/dxN4-AMb). This dataset provides useful information on issues reported by citizens relating to sidewalks and accessibility, urban hygiene, street lighting, roads and bike paths, trees and green spaces, housing, sanitation and others.
Solid waste production and collection have become a huge challenge for municipalities today. With waste collection costs accounting for 40 to 60% of waste management expenses, and the production of 4.2 to 12 kg of CO2 per tonne of collected waste, it’s clear that innovative solutions are needed.
An innovative solution in urban planning and sustainable cities: a new walkability indicator developed as part of the C-Tech project: Climate Driven Technologies for Low Carbon Cities.
A dashboard that harnesses the potential of data analytics to enhance road safety and inform decision-making processes. With this dashboard, stakeholders can now gain valuable insights into car crash incidents within these specific areas.
Anticipating the places with the highest risk of emergency occurrences is essential so that the emergency services can more efficiently allocate their resources in the city. It was with this objective to developed a predictive model that allows predicting the risk of emergency occurrences in the city of Lisbon.
Understanding spatially and temporally the patterns of emergency occurrences is essential for the prevention of deaths and injuries, reduction of damage to material goods and protection of the environment and community.
To enhance urban mobility in Lisbonwe have develop an innovative solution to tackle illegal parking in the city.
The Bike Counter Dashboard is a comprehensive visualization tool that showcases the number of bike passages, from EMEL’s Open Data Portal, in several locations across Lisbon.