Social Distance with Tourists in U.S. Counties with the Highest Historical Numbers of Reported COVID-19 Cases

Author:

Woosnam Kyle Maurice12,Erul Emrullah3ORCID,Russell Zachary A.4ORCID,Rahman Sabrina1,Perren Chase1,Lefavi Michael1,Bennett Camille4

Affiliation:

1. Parks, Recreation and Tourism Management, Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA 30602, USA

2. School of Tourism and Hospitality, University of Johannesburg, Auckland Park 2006, South Africa

3. Department of Tourism Management, Izmir Katip Celebi University, Izmir 35620, Turkey

4. Recreation, Sport and Tourism Department, University of Illinois, Champaign, IL 61820, USA

Abstract

With destinations steadily ‘opening back up for business’ (while COVID-19 cases are still high in many areas), there is an increasing need to consider residents. Integrating the cognitive appraisal theory and the affect theory of exchange, this work tests a structural model examining the degree to which residents’ perceptions of COVID-19 precautionary measures explain emotions directed toward visitors, and ultimately their willingness to engage in shared behaviors with tourists. Data were collected from 530 residents in 25 U.S. counties with the highest percentages of historical COVID-19 cases per population. A total of 10 of the 12 tested hypotheses were significant, contributing to 60% and 85% of the variance explained in contending and accommodating emotions, and 53% and 50% of the variance explained in engaging in less intimate–distal and more intimate–proximal behaviors with tourists. The implications highlight the complementary use of the two frameworks in explaining residents’ preference for engagement in less intimate–distal interactions with tourists.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference50 articles.

1. (2023, April 10). Tracking SARS-CoV-2 Variants. Available online: https://www.who.int/activities/tracking-SARS-CoV-2-variants.

2. (2023, April 10). WHO Coronavirus (COVID-19) Dashboard. Available online: https://covid19.who.int.

3. The Nature of Cities and the COVID-19 Pandemic;Lai;Curr. Opin. Environ. Sustain.,2020

4. Dobis, E.A., Krumel, T.P., Cromartie, J., Conley, K.L., Sanders, A., and Ortiz, R. (2021). Rural America at a Glance: 2021 Edition.

5. COVID-19 Map (2022, October 29). Johns Hopkins Coronavirus Resource Center. Available online: https://coronavirus.jhu.edu/map.html.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3