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Access status: Acesso aberto ,
A excelência aprende-se. No turismo, qualificar é criar valor [artigo de imprensa]
(2026-10-30) Quintela, Joana A.
O turismo continua a assumir um peso significativo na economia nacional. Segundo os dados do Turismo de Portugal, em 2025, o alojamento turístico em Portugal registou 32,5 milhões de hóspedes e 82 milhões de dormidas. As receitas turísticas atingiram 29,1 mil milhões de euros. Estes resultados reforçam a responsabilidade de preparar o setor para o futuro. Num mercado competitivo, com visitantes cada vez mais informados, crescer exige prestar melhores serviços, valorizar carreiras e criar benefícios para os territórios e as comunidades. Na hotelaria e na restauração, setores fundamentais da atividade turística, a hospitalidade exige conhecimento especializado para responder às expectativas dos clientes e à competitividade do mercado. Esta necessidade é particularmente evidente no enoturismo, que tem registado uma evolução significativa em Portugal na última década e uma crescente projeção internacional, com os mercados externos a representarem cerca de 61% da procura, entre 2024 e 2025. [...]
Access status: Acesso aberto ,
Explainable machine learning for trip-level driving behaviour profiling from smartphone telematics in road freight operations
(2027-01-01) Entringer, Pedro; Leal, Fátima; Pinho, Micaela
Low-cost smartphone telematics can support transparent trip-level profiling in road freight operations, but telemetry-derived labels require careful interpretation. We analyse an extract of 52 freight trips by 12 drivers (11,434.91 km) associated with a platform reporting 753,021 source location records. Distance-normalised acceleration, braking and route-alert indicators were used to construct four rule-based operational tiers (Excellent, Good, Moderate and Poor); K-means was used for exploratory description only. Decision tree (DT), random forest (RF) and k-nearest neighbours were evaluated using a driver-grouped hold-out (37 training and 15 test trips) and leave-one-driver-out cross-validation. In the hold-out, RF achieved accuracies of 0.867 for driving behaviour and 0.933 for the eco-driving proxy. Removing the score-generating indicators and their algebraically related features reduced RF accuracy to 0.467 and 0.533, respectively. The corresponding leave-one-driver-out RF accuracies were 0.942 and 0.962 using the full feature set, decreasing to 0.385 and 0.365, respectively, under strict feature ablation. Class-specific errors and local surrogate explanations further characterised model behaviour. The results support reproducible assignment of an operational telemetry taxonomy, not independently validated predictions of driver safety, energy consumption or emissions. The small driver cohort and missing vehicle, traffic and payload information limit generalisation and causal interpretation.
Access status: Acesso aberto ,
Child protection and the fight against child marriage in Portuguese Law [abstract]
(2026-10-21) Rebelo, Fernanda; Guimarães, Ana Paula
In 2025, Portuguese law came into force prohibiting the marriage of minors and recognising that child, early or forced marriage can pose a danger to children and young people, as it can affect their physical, social and educational development. At the international level, we have seen explicit condemnation of early marriage by the UN and also by the Convention on the Rights of the Child (CRC), as it is a practice that often violates children’s rights. This article aims to analyse Law 39/2025 of 1 April, both in relation to the prohibition of marriage involving minors and with regard to the potential strengthening of protection for children and adolescents against child, early and forced marriage. The aim is to determine whether the absolute prohibition of marriage involving minors is an effective measure for protecting the fundamental rights of children and adolescents. And whether, and in what way, the protection of children is strengthened, ensuring that marriage is a free and informed choice made only in adulthood. [...]