Ongoing Challenges

The data itself has no value, the value derives from its use or, more specifically, when through its processing we are able to create information that supports decision making

True urban intelligence will only happen when those who govern the territory are able to establish strategies that lead to the construction of the city as a platform, creating the necessary and sufficient conditions to, taking advantage of information management and data science leveraged in big data, radically change the paradigm of planning and management of our cities and towns.

But the data itself has no value, the value stems from its use or, more specifically, when through its processing we are able to create information that supports decision making and leads to action (information is given in context).

In this sense, on this page, you can consult some of the data analytics and visualization solutions supported in big data that are still under development for the various partners of NOVA Cidade – Urban Analytics Lab and that are open to contributions and participation of interested researchers.

Determining the impact of the pandemic by COVID 19 on mobility and the environment

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: 04-09-2020

End date: 31-10-2021

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The 15 Minutes CIty

​Description: Develop a model for assessing the response capacity of cities to the challenge of the “15 Minutes City” through the use of open data and crossing a business intelligence approach with geographic information systems capable of allowing citizens to identify any point of interest and the system provides information on services that can be reached in 15 minutes on foot or by bicycle. 

Start date: 1-2-2021

End date: ongoing

Green Urban Structure

Challenges: Evolution of the location of green spaces in the city of Lisbon

Questions: How have green space perimeters evolved within the city of Lisbon since 2000? Have their areas increased or decreased? Have they changed their geometric configuration?

Start date: 01-02-2021

End date:

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Pollution

Challenges: Evolution of spatial patterns in urban atmospheric pollution

Questions: What were the patterns in the spatial distribution of urban pollution before February 2020 and what was their evolution up to the present situation?

Start date: 01-02-2021

End date: 

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Emergency

Problem: To develop predictive models for the prediction of traffic accidents.

Research question: What are the characteristics of the locations where exists an higher number of traffic accidents? Where and at what time of day is expected to exist an higher number of traffic accidents?

Start date: 15-03-2020

End date: 15-08-2021

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Mobility

Challenges: Model Risk Associated with variations in Mobility.

Questions: Is there a correlation and can I model infection risk through Mobility Data?

Start date: 01-02-2021

End date:

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Mobility

Challenges: Infrastructure Planning.

Questions: How can I improve the City’s infrastructure through Mobility Data?

Start date: 01-02-2021

End date:

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Mobility

Challenges: Descriptive Analysis of Cities.

Questions: How can we define metrics to describe and compare Mobility at the City level?

Start date: 01-02-2021

End date:

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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: 14-10-2020

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Parking

Problem: To create new models either to predict or to generate viable alternatives for illegal parking in the city.

Research question: What are the characteristics of the locations where exists an higher number of occurrences regarding irregular parking? Where and at what time of day is expected to exist an higher number of illegalities regarding irregular parking?

Start date: 15-03-2020

End date: 15-08-2021

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Mobility

Problem: To support new planning and management approaches altogether with new tools to evaluate impact and prediction of behaviours.

Research question: What are the demographic, environmental and infrastructural characteristics of the GIRA stations with more demand? What are the estimated pickups and drop offs in GIRA stations for a certain day period?

Start date: 15-03-2020

End date: 15-08-2021

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Demarked Region of Douro and Porto

Challenges: Dynamic descriptive Dashboard oriented to the market.

Questions: What is the best destination for RDD wines next year?

Start date: 01-02-2021

End date: 

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Demarked Region of Douro and Porto

Challenges: Model for generating areas of influence to optimize grapes and wine transport.

Questions: What are the hotspots regarding transit routes of grapes and wine?

Start date: 01-02-2021

End date: 

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Demarked Region of Douro and Porto

Challenges: Support model for monitoring, control and validation of the Harvest and Production Declaration.

Questions: How can I monitor and where should I focus my inspection activities?

Start date: 01-02-2021

End date:

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Demarked Region of Douro and Porto

Challenges: Predictive model for estimating the grape production potential in DRD.

Questions: What is the excepted grape production per parish in the next year?

Start date: 01-02-2021

End date: 

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Impact of COVID-19 on Local Housing (AL)

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

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Green Urban Structure

Challenges: Quantification of the evolution of the total area of green space in the city of Lisbon.

Question: What is the total annual sum of green space area (m2) in the city of Lisbon, for the period considered?

Start date: 01-02-2021

End date: 

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Hyperlocal news

Description: Promote the development of a hybrid model of hyperlocal news production supported by open data sources and using artificial intelligence capable of supporting the edition of news bulletins for local markets (neighborhoods or parish councils), virtuously reconciling the latest developments in data science in the use of unstructured data with journalistic skills.

Start date: 1-2-2021

End date: on going

Mobility

Challenges: Government Measures Impact on Mobility.

Questions: To what extent do government measures affect Mobility in Cities?

Start date: 01-02-2021

End date:

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Fix my street biased city governance

Description: Today one of the best practices in the participatory governance of cities taking advantage of collective intelligence, the applications of the “Fix my street” type allow to identify in real time and through direct communication of citizens using their smart phones the problems of cities and promote their resolution as quickly and efficiently as possible. However, the generalization of their use has raised the question of the digital divide and the doubt about their capacity to respond to the needs of the city and ensure one of the ambitions of SDG 11 – Sustainable Cities and Communities, inclusion, that is, the way of managing the city guarantees the quality and the level of service to all citizens and is not biased by the degree of digital literacy of the different socio-economic realities of the urban fabric of the city. In this project we intend to cross-check the data collected by “fix my street” applications with socio-demographic data to better understand the phenomenon. 

Start date: 1-2-2021

End date: on going

Mobility

Challenges: A Normal Day in the mobility flows of Cities.

Questions: Who travels the City? A study of commuting in the City.

Start date: 01-02-2021

End date:

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Mobility

Challenges: Impact of Covid19 in the mobility of cities.

Questions: To what extent did the Covid19 pandemic effectively change Mobility in the Cities?

Start date: 01-02-2021

End date:

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Pollution

Challenges: Quantification of urban atmospheric pollution

Questions: What was the total monthly amount of urban atmospheric pollution before February 2020 and what was its monthly evolution up to the present situation?

Start date: 01-02-2021

End date: 

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Pollution

Problem: To develop predictive models for the propagation of liquid and atmospheric pollutants.

Research question: How is the propagation of air and liquid pollutants in the city, in case of an accident with hazard substances?

Start date: 15-03-2020

End date: 15-08-2021

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Waste management

Problem: To identify patterns to support the prediction of the production of urban waste associated with a variety of context information (e.g. events, climate situation, etc.)

Research question: What is the social and economic profile of the citizens that produce more undifferenciated waste? What is the predicted quantity of produced undifferenciated waste that have to be collected by the municipality on a weekly basis?

Start date: 15-03-2020

End date: 15-08-2021

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Creation of general traffic indicator and indicators for each of the main routes of entry 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 management and administration. In addition to the single global indicator for traffic characterisation, the perception of the state of the main roads in Lisbon as well as the main roads of the city, in addition to constituting the basis for the allocation of the global indicator, allow itself to assess the state of traffic on the outskirts of the municipality, with implication in the behavior of roads managed by other road operators , and whose municipality does not directly control.

Expected results: This unique global indicator for the municipality, in addition to introducing a holistic component in the overall perception of the city, allows to enhance the promotion of sustainable mobility, correlating on time with global indicators of other means of transport. In addition to the single global indicator, it is intended to have indicators of the main roads of the city.

Start date: 04-09-2020

End date: 31-10-2021

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Demarked Region of Douro and Porto

Challenges: Dynamic Dashboard for assessing and benchmarking vineyard operational costs.

Questions: Comparing to other winegrowers in my parish is my cost per kg of grapes higher?

Start date: 01-02-2021

End date: 

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Demarked Region of Douro and Porto

Challenges: Analytical model that can help to:

  • identify relationship between physical and chemical data x quality (perceived) x market x parcels;
  • identify economic agents’ profiles; and
  • generate information relevant to the laboratory’s operational work (metrics related to quantities and response times)

Questions: Is there any relationship between physical chemical data x quality x market x parcels?

Start date: 01-02-2021

End date: 

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Demarked Region of Douro and Porto

Challenges: Model for supporting annual harvest communication and production authorization based on quality and market variables.

Questions: Based on quality and market variables what should be the ranking and overall production allowed next year?

Start date: 01-02-2021

End date: 

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Demarked Region of Douro and Porto

Challenges: Information Model to support the traceability of current account assets and decision making at the certification level.

Questions: How can I trace the wine and support the certification process?

Start date: 01-02-2021

End date: a decorrer

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