Adaptive Travel Behaviors to Cope with COVID-19: A Swedish Qualitative Study Focusing on Everyday Leisure Trips

The COVID-19 pandemic has caused a rapid change in travel behavior for different types of trips, including everyday social and recreational leisure trips. People have used adaptive travel behaviors to cope with the new circumstances for activities and transport. Due to the Swedish strategy focusing on more voluntary restrictions, people have had reason to consider which trips and activities to skip and which to keep. The overall aim of the study is to explore and deepen the knowledge about adaptive behaviors used and seek to understand its possible implications for future travel behavior change towards sustainable mobility through the use of qualitative interviews focusing on everyday leisure trips. The results illustrate how people have used a range of adaptive behaviors to cope with the implications of the pandemic, with cancellation and change of transport mode being the ones most reflected upon by the interviewees. Further, the results reveal how the overall label “everyday leisure trips” in fact includes a variety of trip purposes that differ in terms of flexibility and importance and must thus be approached in different ways in transport policy measures.

Impact of Social Media on Travel Behaviors during the COVID-19 Pandemic: Evidence from New York City

During the outbreak of COVID-19, people’s reliance on social media for pandemic-related information exchange, daily communications, and online professional interactions increased because of self-isolation and lockdown implementation. Most of the published research addresses the performance of nonpharmaceutical interventions (NPIs) and measures on the issues impacted by COVID-19, such as health, education, and public safety; however, not much is known about the interplay between social media use and travel behaviors. This study aims to determine the effect of social media on human mobility before and after the COVID-19 outbreak, and its impact on personal vehicle and public transit use in New York City (NYC). Apple mobility trends and Twitter data are used as two data sources. The results indicate that Twitter volume and mobility trend correlations are negative for both driving and transit categories in general, especially at the beginning of the COVID-19 outbreak in NYC. A significant time lag (13 days) between the online communication rise and mobility drop can be observed, thereby providing evidence of social networks taking quicker reactions to the pandemic than the transportation system. In addition, social media and government policies had different impacts on vehicular traffic and public transit ridership during the pandemic with varied performance. This study provides insights on the complex influence of both anti-pandemic measures and user-generated content, namely social media, on people’s travel decisions during pandemics. The empirical evidence can help decision-makers formulate timely emergency responses, prepare targeted traffic intervention policies, and conduct risk management in similar outbreaks in the future.