The article discusses the lockdown of the EU’s internal borders during the COVID-19 pandemic in Finland. Special attention is paid to bordering as a means of disease control and the governments’ aim to “protect the population and secure functions of society”. Not only did the government restrict flights and ‘non-essential’ travel from non-Schengen countries such as Russia, China and Thailand but, with some exceptions, it also restricted travel-to-work commuting and everyday cross-border encounters between Finland and its Schengen neighbours of Sweden, Norway and Estonia.

COVID-19 has proven to be a formidable challenge for many countries in the European Union to manage effectively. The European Union has implemented numerous strategies to face emerging issues. Member States have adopted measures such as the closure of borders and significant limitations on the mobility of people to mitigate the spread of the virus. An unprecedented crisis coordination effort between Member States has facilitated the ability to purchase equipment, personal protective equipment, and other medical supplies.

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Confidence in the health care system implies an expectation that sufficient and appropriate treatments will be provided if needed. The COVID-19 public health crisis is a significant, global, and (mostly) simultaneous test of the behavioral implications arising from this confidence. We explore whether populations reporting low levels of confidence in the health care system exhibit a stronger behavioral reaction to the COVID-19 pandemic.

The COVID-19 pandemic led to many European countries imposing lockdown measures and limiting people’s movement during spring 2020. During the summer 2020, these strict lockdown measures were gradually lifted while in autumn 2020, local restrictions started to be re-introduced as a second wave emerged. After initial restrictions on visitors accessing many Nature Protected Areas (PAs) in Europe, management authorities have had to introduce measures so that all users can safely visit these protected landscapes.

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This paper analyzes the impact of COVID-19 on the transportation sector and subsequent implications on the sectoral energy savings and greenhouse gas emissions in some selected cities worldwide. A model for smart transportation is proposed by considering four indicators, including transport efficiency, technology integration, traffic congestion rate, and accessibility ratio. While prior health crises, such as SARS, impacted the transportation sector, the COVID-19 pandemic is unprecedented, resulting in exceptional impacts on this sector.