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- Pricing approaches on Airbnb. The case of 2020 new listings in PortoPublication . Ferreira, Fernanda A.; Toader, Valentin; Rus, Rozalia Veronica; Bode, Oana RuxandraThe COVID-19 pandemic had serious economic effects, forcing businesses to adjust their strategies to survive. The tourism sector was one of the most affected due to the imposed travel restrictions; both traditional units and people providing services to tourists through the sharing economy platforms had to adapt. The objective of this paper is to build a hedonic price model to identify the attributes that significantly influence the price of the room, using the WLS regression model. Despite the general negative trend, there were also hosts who considered that opening a new listing during these times may represent a business opportunity. Therefore, the focus of the article is on newly opened listings on the Airbnb platform during 2020. The approach used included the main categories of variables discussed previously in the literature: listing attributes, listing location, listing reputation, rental policies, and hosts characteristics/involvement. The maximum number of guests accepted in the property, the type of listing, and the availability of air conditioning (AC) and parking represent the main characteristics that influence the prices. Changes in travel behaviour due to increased health and safety concerns made hosts aware that guests are willing to pay more to stay in central locations or in places owned by Superhosts.
- Book of abstracts of XXVI RECLA International Summit – Soluções de aprendizagem inteligente para sociedades sustentáveisPublication . Silva, Cândida; Guarello, Margarita; Peres, Paula; Ferreira, Rui; Silva, Susana; Mota, Dulce
- Book of Abstracts and Conference Materials of the 4th International Conference on Tourism Research, ICTRPublication . Silva, Cândida; Oliveira, Mónica; Silva, Susana
- Ferramentas web para a gestão de informaçãoPublication . Oliveira, Lino; Silva, Cândida
- Proceedings of the 4th International Conference on Tourism Research, ICTR 2021Publication . Silva, Cândida; Oliveira, Mónica; Silva, Susana
- Instrumentos para transformar a experiência de aprendizagem: contexto do ensino superiorPublication . Jesus, Ângelo; Silva, Armando; Silva, Cândida; Martins, Constantino; Oliveira, Lino; Faria, Luiz; Peres, Paula; Oliveira, Paulo; Lima, VandaO presente livro aborda um conjunto de instrumentos pedagógicos que podem ser usados para potenciar as experiências de aprendizagem em contexto de ensino a distância. O livro destina-se quer a docentes, quer a estudantes. Os docentes podem encontrar no livro informação sobre técnicas e ferramentas que permitam melhorar as experiências de aprendizagem. Os estudantes, como destinatários do processo de aprendizagem, poderão também usufruir do conteúdo do livro, permitindo que estes tenham acesso às técnicas e ferramentas a que terão acesso durante o seu processo de aprendizagem.
- Outdoor solutions for the seasonal concentration of tourism demand in Northern Portugal: an integrated approach based on the Gini IndexPublication . Fernandes, Paula; Nunes, Alcina; Veloso, Cláudia; Santos, Eleonora; Ferreira, Fernanda A.; Fonseca, Manuel JoséMeasures that address the seasonality allow making a critical reflection on the application of control policies and monitoring regional measures crucial on a sector with such importance at the regional development analysis. The measures should stimulate or reduce tourism demand during low or peak seasons, respectively. Therefore, the current chapter focus on the development of a Gini Index to analyse the distribution of the seasonality in the Northern Portugal and through it control current public measures in practice and suggest the implementation of different and more effective policy measures. It will be used the Gini Index, by the tourists’ market of origin measured by the Overnight stays in hotel establishments. To understand the tourism flows the analyses will be focused on the matrix of interregional tourism flows and on the graphical technique. The results showed the high seasonal concentration of tourist flows.