Research output per year
Research output per year
Personal profile
Personal information
Pedro Sarmento is a researcher at NOVA Cidade – Urban Analytics Lab. He holds a PhD in Information Management – Geographic Information Systems (GIS) by NOVA Information Management School of Universidade Nova de Lisboa and previously obtained an MSc in Science & Geographic Information Systems by the same institution and a graduation in Biophysics Engineering from the University of Évora. His main research areas are related with urban analytics, GIS and remote sensing. Beside his previous work in private and public institutions working in GIS and remote sensing projects, he has a rich background in research, having published several papers in peer review journals related with urban analytics, and the production/accuracy assessment of land-cover maps derived from aerial and satellite images. Currently he analyses spatial data and manage projects, developing research and technical work that explore the potential of data science and GIS to promote social, economic and environmental well-being at city, regional and national level.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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An indicator for integrated regional planning: A case study of Portugal's west region
Jardim, B., Neto, M. D. C., Sousa, N. M. D., Barriguinha, A. & Sarmento, P., 1 Apr 2025, In: Cities. 159, p. 1-11 11 p., 105762.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Oeste smart region: An intermunicipal integrated analytical territorial intelligence platform
Simões, P., Neto, M. D. C., Sarmento, P. & Barriguinha, A., 12 May 2023, In: Mapping. 32, 211, p. 50-61 12 p., 5.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Impact of COVID-19 lockdown measures on waste production behavior in Lisbon
Sarmento, P., Motta, M., Scott, I., Pinheiro, F. L. & Neto, M. D. C., 1 Feb 2022, In: Waste Management. 138, February, p. 189-198 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Citations (Scopus)44 Downloads (Pure) -
Prediction and simulation of the risk of traffic accidents using neural networks and gradient boosting with an hybrid classification/regression modelling approach in urban context
Alpalhão, N., Sarmento, P., Pinheiro, F. L., Tremoceiro, J. & Neto, M. D. C., 1 Jan 2022, Livro de Resumos da Conferência do Projeto de Investigação Científica “Fatores de Transformação Urbana (DRIVIT-UP)” em conjunto com I Conferência sobre Ciência de Dados para Ciências Sociais e VI Conferência de Planeamento Regional e Urbano. [Abstract book from the Conference of the Scientific Research Project “Drivers of urban transformation (DRIVIT-UP)” a joitly event with I Conference on Data Science for the Social Sciences And VI Conference on Regional and Urban Planning]. UA Editora, p. 52-55 5 p.Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review
Open AccessFile -
The Illegal Parking Score: Understanding and predicting the risk of parking illegalities in Lisbon based on spatiotemporal features
Jardim, B., Alpalhão, N., Sarmento, P. & Neto, M. D. C., 1 Sept 2022, In: Case Studies on Transport Policy. 10, 3, p. 1816-1826 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Citations (Scopus)96 Downloads (Pure)
Activities
- 1 Oral presentation
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Prediction and simulation of the risk of traffic accidents using neural networks and gradient boosting with an hybrid classification/regression modelling approach in urban context
Nuno Alpalhão (Speaker), Bruno Jardim (Speaker), Pedro Sarmento (Speaker), Flávio L. Pinheiro (Speaker), João Tremoceiro (Speaker) & Miguel de Castro Neto (Speaker)
25 Nov 2021Activity: Talk or presentation › Oral presentation