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Wiley Interdisciplinary Reviews: Climate Change ; 14(1), 2023.
Article in English | Scopus | ID: covidwho-2241077


Air transport challenges the world's net-zero carbon ambitions. The sector has consistently grown and causes warming as a result of both CO2 and other, short-lived emissions. Two principal solutions have been proposed to reduce the contribution of aviation to climate change: innovations of technology and the development of interventions to trigger behavioral change. Technological innovations include new propulsion technologies and the use of sustainable aviation fuels. Behavioral change includes flight avoidance, substitution with other means of transport, the choice of efficient flight options, and carbon offsetting. This article focuses on behavior;it offers an overview of factors that lead to consumers traveling by air and discusses demand distribution complexities. The importance of price for air travel decisions is assessed, and evidence of travel "wants” are contrasted with "needs,” the latter investigated in light of the COVID-19 pandemic. The review of relevant scholarly work culminates in an action list enabling air travelers, policy makers, the aviation industry, researchers and society to meaningfully advance low-carbon air transport trajectories. This article is categorized under: Perceptions, Behavior, and Communication of Climate Change > Behavior Change and Responses The Carbon Economy and Climate Mitigation > Policies, Instruments, Lifestyles, Behavior. © 2022 The Authors. WIREs Climate Change published by Wiley Periodicals LLC.

Entertainment Computing ; 44, 2023.
Article in English | Scopus | ID: covidwho-2245719


Music listening choices are considered to be a factor capable of measuring people's emotions. Thanks to the explosion of streaming music applications in recent years, it is possible to describe listening trends of the global population based on emotional features. In this paper we have analysed the most popular songs from 52 countries on Spotify through their features of danceability, positivity and intensity. This analysis allows exploring how these song features reflect mood trends along with other contextual factors that may affect the population's listening behaviour, such as the weather or the influence of the COVID-19 pandemic. Finally, we have proposed a multivariate time series model to predict the preferred type of music in those countries based on their previous music listening patterns and the contextual factors. The results show some relevant behavioural changes in these patterns due to the effect of the pandemic. Furthermore, the resulting prediction model enables forecasting the type of music listened to in three different groups of countries in the next 4 months with an error around 1%. These results may help to better understand streaming music consumption in businesses related to the music and marketing industry. © 2022 Elsevier B.V.

10th E-Health and Bioengineering Conference, EHB 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2223106
Research Journal of Pharmacy and Technology ; 15(9):4119-4127, 2022.
Article in English | EMBASE | ID: covidwho-2207035
25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 ; 2022-October:1491-1497, 2022.
Article in English | Scopus | ID: covidwho-2136414
International Journal of Information Management Data Insights ; 2(2):100137, 2022.
Article in English | ScienceDirect | ID: covidwho-2095666
1st International Conference on Computational Intelligence and Sustainable Engineering Solution, CISES 2022 ; : 433-439, 2022.
Article in English | Scopus | ID: covidwho-2018634
Otoritas-Jurnal Ilmu Pemerintahan ; 12(1):16-29, 2022.
Article in English | Web of Science | ID: covidwho-1929047
Journal of Nutrition Education & Behavior ; 54(7):S8-S9, 2022.
Article in English | CINAHL | ID: covidwho-1921139
Advances in Human Biology ; 12(1):83-86, 2022.
Article in English | Web of Science | ID: covidwho-1917946
Journal of Public Health Management & Practice ; 28(3):292-298, 2022.
Article in English | CINAHL | ID: covidwho-1840116
2021 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2021 ; : 518-523, 2021.
Article in English | Scopus | ID: covidwho-1832577
Green Energy and Technology ; : 103-109, 2022.
Article in English | Scopus | ID: covidwho-1802615
Ocular Surgery News ; : 38-38, 2022.
Article in English | CINAHL | ID: covidwho-1801144
Makara Journal of Health Research ; 25(3):159-166, 2021.
Article in English | Web of Science | ID: covidwho-1744668
Chaos, Solitons and Fractals ; 156, 2022.
Article in English | Scopus | ID: covidwho-1696861
2021 IEEE Conference on Games, CoG 2021 ; 2021-August, 2021.
Article in English | Scopus | ID: covidwho-1642522
Frontiers in Psychiatry ; 12:7, 2021.
Article in English | Web of Science | ID: covidwho-1581161
Human Computer Interaction thematic area of the 23rd International Conference on Human-Computer Interaction, HCII 2021 ; 12763 LNCS:390-401, 2021.
Article in English | Scopus | ID: covidwho-1565237