Urban analytics represents a fundamental pillar of the work that is developed every day by NOVA Cidade – Urban Analytics Lab
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.
Parking
Problem: Identification of patterns and prediction of parking in the city of Lisbon to improve surveillance efficiency.
Start Date: 15-03-2020
End Date: 15-08-2021
Mobility
Problem: To support new planning and management approaches altogether with new tools to evaluate impact and prediction of behaviours.
Start Date: 15-03-2020
End Date: 15-08-2021
Waste Management
Problem: Identification of patterns/profiles and solid waste production prediction in the city of Lisbon.
Start Date: 15-03-2020
End Date: 15-08-2021
Identification of incidence points of road accidents and their correlation with other factors
Problem: The existence of road accidents, although directly affecting and involving road users, does not necessarily have to depend on them for their occurrence. External factors can affect, provide or increase their occurrence as long as they are able to produce changes in the conditions of perception, naturally expected, by users.
Expected results: This unique global indicator for the municipality, in addition to introducing a holistic component in the global perception of the city, allows enhancing the promotion of sustainable mobility, correlating over time with global indicators of other means of transport. In addition to the global single indicator, it is intended to have indicators for the main roads in the city.
Start date: 04-09-2020
End Date: 31-10-2021
Taxation of private parking in the municipality of Lisbon
Description: In certain cases, hotels, institutions, ministries, political parties, among others, have parking allocated by the municipality through licensing and payment of the due fee. In this context, it is intended to identify which parking lots are allocated and whether fees are being paid.
Expected results: It is expected to obtain an estimate of the value of fees not charged by the municipality of Lisbon, by crossing information sources.
Start date: 14-10-2019
End Date: 10-14-2020
Walkability simulator
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Crowd Management
Problem: Evaluation and elaboration of models for predicting the impact of major events on Lisbon city services.
Start Date: 15-03-2020
End Date: 15-08-2021
Pollution
Problem: Elaboration of predictive models for the propagation of liquid and atmospheric pollutants in the city of Lisbon.
Start Date: 15-03-2020
End Date: 15-08-2021
Creation of general traffic indicator and indicators for each of the main entry routes into the city
Problem: The characterization of traffic in the municipality, using a single global indicator, is undoubtedly a determining factor for correlation with other domains, both in terms of management and administration. In addition to the global single indicator for traffic characterization, the perception of the state of the main entry routes into Lisbon as well as the main city roads, in addition to being the basis for allocating the global indicator, allow for the assessment of traffic status alone. on the outskirts of the municipality, with implications for the behavior of roads managed by other road operators, and whose municipality does not directly control it.
Expected results: This unique global indicator for the municipality, in addition to introducing a holistic component in the global perception of the city, allows enhancing the promotion of sustainable mobility, correlating over time with global indicators of other means of transport. In addition to the global single indicator, it is intended to have indicators for the main roads in the city.
Start date: 04-09-2020
End Date: 31-10-2021
Determination of the impact of the COVID 19 pandemic on mobility and environment
Issues: The effects of the pandemic caused by the disease COVID 19 had a significant impact on urban mobility. There is a new paradigm in urban mobility created by the insecurity in the use of means of transport with high concentrations of people, with an increase in the use of smooth means of transport.
Expected results: It is intended to study the effects of this pandemic on the shift from means of transport to soft modes.
Start date: 04-09-2020
End Date: 31-10-2021
Impact of COVID-19 on Local Accommodation
Description: With this challenge it is intended to estimate the effect that COVID had on stays in Local Accommodation through the technique of Web Scraping to local accommodation platforms.
Start date: 04-09-2020
End Date: 31-10-2021
Fix my street biased city governance
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Development of a hybrid model for the production of hyperlocal news with open data and artificial intelligence
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