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Teaching Staff

Biography

Bruno Jardim is a Data Scientist at NOVA Cidade – Urban Analytics Lab and holds a PhD in Data Science from NOVA Information Management School. His research explored the development of indicators to objectively measure mobility, pollution, and safety in urban environments. He earned both his Bachelor's and Master's degrees in Information Management from NOVA IMS, specializing in Knowledge Management and Business Intelligence.

Scientific Publications

Alpalhão, N., Sarmento, P., Jardim, B., & Neto, M. D. C. (2025)

Assessing the risk of traffic accidents in lisbon using a gradient boosting algorithm with a hybrid classification/regression approach. Transportation Research Interdisciplinary Perspectives, 32, Article 101495. https://doi.org/10.1016/j.trip.2025.101495

Jardim, B., Neto, M. D. C., Sousa, N. M. D., Barriguinha, A., & Sarmento, P. (2025)

An indicator for integrated regional planning: A case study of Portugal's west region. Cities, 159, 1-11. Article 105762. https://doi.org/10.1016/j.cities.2025.105762

Rodrigues, D., Jardim, B., & Neto, M. D. C. (2025)

Predicting key touchpoints in hotel customer journey: a comparison of machine learning models. Journal of Travel and Tourism Marketing, 42(5), 609-626. https://doi.org/10.1080/10548408.2025.2456083

Jardim, B., Neto, M. D. C., & Barriguinha, A. (2023)

A street-point method to measure the spatiotemporal relationship between walkability and pedestrian flow. Computers, Environment and Urban Systems, 104(September), [101993]. https://doi.org/10.1016/j.compenvurbsys.2023.101993

Jardim, B., Neto, M. D. C., & Calçada, P. (2023)

Urban dynamic in high spatiotemporal resolution: the case study of Porto. Sustainable Cities and Society, [104867]. https://doi.org/10.1016/j.scs.2023.104867

Barriguinha, A., Jardim, B., De Castro Neto, M., & Gil, A. (2022)

Using NDVI, climate data and machine learning to estimate yield in the Douro wine region. International Journal of Applied Earth Observation and Geoinformation, 114(November), 1-14. [103069]. https://doi.org/10.1016/j.jag.2022.103069

Jardim, B., & De Castro Neto, M. (2022)

Walkability Indicators in the Aftermath of the COVID-19 Pandemic: A Systematic Review. Sustainability, 14(17), 1-24. [10933]. https://doi.org/10.3390/su141710933

Jardim, B., Alpalhão, N., Sarmento, P., & Neto, M. D. C. (2022)

The Illegal Parking Score: Understanding and predicting the risk of parking illegalities in Lisbon based on spatiotemporal features. Case Studies on Transport Policy, 10(3), 1816-1826. https://doi.org/10.1016/j.cstp.2022.07.011

Jardim, B., Neto, M. D. C., Alpalhão, N., & Calçada, P. (2022)

The Daily Urban Dynamic Indicator: Gauging the urban dynamic in Porto during the COVID-19 pandemic. Sustainable Cities and Society, [103714]. [Advanced Online publication in 24 January 2022]. https://doi.org/10.1016/j.scs.2022.103714

Mendes, J. M., Baptista, H., Oliveira, A., Jardim, B., & De Castro Neto, M. (2022)

Beyond comorbidities, sex and age have no effect on COVID-19 health care demand. Scientific Reports, 12(1), 1-12. [7356]. https://doi.org/10.1038/s41598-022-11376-5

Jardim, B., Neto, M. D. C., Alpalhão, N., & Calçada, P. (2022)

Indicador Diário de Dinâmica Urbana para o Porto. In 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] (pp. 131-133). UA Editora. https://doi.org/10.48528/pkzd-wz70

Jardim, B., Rei, R., & Almeida, M. S. C. (2021)

Multilingual email zoning. In EACL 2021 - 16th  Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop (pp. 88-95). (EACL 2021 - 16th  Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop). Association for Computational Linguistics (ACL).