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Does active transport create a win-win situation for environmental and human health?: The moderating effect of leisure and tourism activity
Kyung Hee Univ, Republic of Korea.ORCID iD: 0000-0002-8077-8503
Linnaeus University, School of Business and Economics, Department of Organisation and Entrepreneurship. Kyung Hee Univ, Republic of Korea;Univ Canterbury, New Zealand;Lund University, Sweden;Univ Oulu, Finland.ORCID iD: 0000-0002-7734-4587
2022 (English)In: Journal of Hospitality and Tourism Management, ISSN 1447-6770, Vol. 52, p. 487-498Article in journal (Refereed) Published
Sustainable development
SDG 12: Ensure sustainable consumption and production patterns
Abstract [en]

Although active transport contributes to environmental and human health, only limited research has been conducted on what makes people participate in active transport in tourism-related contexts. To fill this gap, research was conducted on theoretically conceptualized relationships between pro-social behavior on active transport, air quality, climate change mitigation, and health with a moderator of leisure and tourism activity. In order to collect data, an online survey was conducted targeting Korean cyclists and walkers, and PLS-SEM and deep learning were applied for data analysis. Results revealed that pro-social behavior on active transport has a great effect on perceived air quality. Health is strongly influenced by pursuing climate change mitigation and a strong impact of active transport on health was identified. There were greater effects between pro-social behavior and air quality as well as pro-social behavior and climate change mitigation for those engaged in active transport for tourism than for leisure, while the leisure group has a stronger relationship between pro-social behavior and health than for tourism. The results are valuable for encouraging active transport behavior.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 52, p. 487-498
Keywords [en]
Walking, biking, Pro -social behavior, Air quality, Climate change, Deep learning, Health
National Category
Economics and Business
Research subject
Tourism
Identifiers
URN: urn:nbn:se:lnu:diva-116585DOI: 10.1016/j.jhtm.2022.08.007ISI: 000855555000004Scopus ID: 2-s2.0-85137626309OAI: oai:DiVA.org:lnu-116585DiVA, id: diva2:1699894
Available from: 2022-09-29 Created: 2022-09-29 Last updated: 2023-05-03Bibliographically approved

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Hall, C. Michael

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  • de-DE
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