Publications by authors named "Courtney Suess"

Introduction: Time spent in nature provides myriad physical and mental health benefits for both adults and children. Despite these benefits, most people spend too little time in nature to realize the maximal effect. Different types of childhood experiences may have differential influence on adult time in nature.

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The adverse impact of the recent pandemic on the lodging industry has largely been based on anecdotal evidence. The extent to which different parts of this broad industry were individually affected by the COVID-19 pandemic also remains unclear. The purpose of this study is to investigate the effects of the COVID-19 pandemic in the various sectors of the lodging industry to identify patterns that may not be consistent with the idea that the entire hospitality industry was negatively affected by the pandemic.

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This study developed a conceptual framework for a preventive travel decision-making process amidst the COVID-19 pandemic, combining the Health Belief Model (HBM) and Value-Belief-Norm (VBN). Analyzing 409 responses collected from an online survey, this study verified the integrated model as a salient theory addressing the importance of social components and health belief factors in affecting behavior. The model revealed that altruistic value influences the HBM variables, whereas personal norms mediate preventive behaviors and beliefs in both VBN and HBM.

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Purpose: The purpose of this study was to develop and evaluate the reliability and validity of self-efficacy and intentions measures for time spent in nature (TSN). TSN is related to improvement in psychological well-being and health, yet most American adults spend very little time in such settings. Theory-based interventions have been effective in increasing physical activity, a related behavior, and may be one mechanism to increase TSN.

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Purpose: COVID-19 is largely spread through close contact with infected people in indoor spaces. Avoiding these spaces is one of the most effective ways to slow the spread. This study assessed who had engaged in risky travel and leisure behaviors before the availability of vaccines.

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Data from a survey of 1478 travelers and multistep group structural equation model analysis revealed that the Health Belief Model constructs of cues to action (trust in third-party information sources), perceived severity of and susceptibility to COVID-19, and beliefs about the protection benefits of a COVID-19 vaccine, subsequently elicited willingness to vaccinate and beliefs that others should vaccinate prior to travel and enhanced support for pre-travel vaccination mandates. Also, significant differences in the perceived protection benefits of the vaccine and willingness to vaccinate were found across groups of travelers who travel more or less frequently and those with and without a prior positive test for COVID-19. The study provides a theoretically informed understanding of the dynamics that may enable the success of important health-related travel policy in the wake of COVID-19 and future pandemics and identifies the communication mechanisms that must be leveraged by governments and travel authorities in enforcing policy.

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The COVID-19 pandemic has had substantial negative impacts on the global economy. While all sectors of the economy are expected to be adversely affected, the economic implications of this pandemic for the hotel industry have not yet been widely investigated. The purpose of this study is to examine the extent to which the COVID-19 pandemic has affected the U.

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The relationship between tourism development, economic growth, renewable energy consumption, and carbon dioxide emissions has been examined in a variety of contexts; however, the extant studies report contradictory findings mainly due to utilizing arbitrary empirical techniques. We present a comprehensive literature review and the effects of tourism development, economic growth, and renewable energy consumption on the carbon dioxide (CO) emission. Specifically, the effects of gross domestic product, renewable energy consumption, and tourism receipts on carbon dioxide emissions in OECD countries are examined utilizing the bootstrap panel cointegration technique and the augmented mean group estimator.

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