Background: The COVID-19 crisis has meant a significant change in the lifestyle of millions of people worldwide. With a lockdown that lasted almost three months and an impulse to new normality, transport demand has suffered a considerable impact in the Spanish case. It is mandatory to explore the effect of the pandemic on changes in travel behaviour in post-COVID-19 times. Methodology: A nationwide survey was carried out during the lockdown in Spring 2020 to overview the recent changes. The survey collected both stated preferences (socio-demographic characteristics and mobility-related attributes), and revealed preferences (individuals’ habits, especially in the frequency of the trips according to the trip purpose, and opinions regarding the willingness and acceptability of these changes, and which actors would have to drive them, and how) of individuals. This paper aims to study and understand the willingness to adopt a set of measures to improve the safety conditions of public transport and shared mobility services against possible contagion from COVID-19 and the willingness to pay for them. Results: The results obtained show that some measures, such as the increase of supply and vehicle disinfection, result in a greater willingness to use public transport in post-COVID-19 times. Similarly, the provision of covers for handlebars and steering wheels also significantly increases individuals’ willingness to use sharing services. However, respondents expect that these measures and improvements would be implemented but maintaining the same pre-COVID-19 prices. The results of this research might help operators deploy strategies to adopt their services and retain users.

This article explores the potential of geotagged data from social networks to analyse visitors’ behaviour in national parks, taking the Teide National Park as a study area. Given its unique landscape and characteristics, plus the fact that it is the most visited national park in Spain, Teide National Park presents itself as a suitable candidate to explore new sources of data for studying visitors’ behaviour in national parks. Through data from a social photo-sharing website (Flickr) and GPS tracks from a web platform (Wikiloc), we outline several visitors’ characteristics such as the spatial distribution of visitors, the points of interest with the most visits, itinerary network, temporal distribution and visitors’ country of origin. Additionally, we propose a practical use of geotagged data for determining optimal locations for new facilities such as information stands. Results show that data from social networks is suitable to analyse visitor behaviour in protected areas.