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The Factors and Relationships Influencing Forest Hiking Exercise Characteristics after COVID-19 Occurrence: At Seoul Metropolitan Area and in Hikers' 20s and 30s

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dc.contributor.authorLee, Bobae-
dc.contributor.authorYeon, Poungsik-
dc.contributor.authorPark, Seoncheol-
dc.date.accessioned2023-08-16T07:52:09Z-
dc.date.available2023-08-16T07:52:09Z-
dc.date.created2023-07-21-
dc.date.issued2022-12-
dc.identifier.issn1661-7827-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/189166-
dc.description.abstractThe growing interest and usage of green space during the pandemic relates to why greenery increases enjoyment of daily life and alleviates troubles arising from infectious periods. However, it is necessary to understand what reactions to the degree of COVID-19's spread were expressed in hiking exercise characteristics (hiking frequency, actual movement distance, average speed, total exercise time). To understand the progress of forest usage behavior during the pandemic, we analyzed factors influencing hiking exercise characteristics and relationships between those factors and hiking exercise characteristics. Hiking record data were obtained (2019-2020) from the workout app "Tranggle " pertaining to hikers in their 20s and 30s who visited the 13 mountains in the Seoul Metropolitan Area most frequently. The differences in hiking exercise characteristics (2019 data subtracted from 2020) were linked with factor data that could be related to them, including the degree of COVID-19's spread (Rt). To explore relationships between hiking exercise characteristics and factors, we developed four models with a linear mixed model. We found that Rt, week, weekdays/weekends, and PM10 contributed to explaining the hiking exercise characteristics' differences. As a result of this analysis, the degree of COVID-19's spread (Rt) affected hiking frequency; the week affected hiking frequency and actual movement distance; weekdays or weekends affected hiking frequency, actual movement distance, average speed, and total exercise time; and PM10 affected hiking frequency. These findings indicate that hiking was an alternative way for those looking for a new strategy to replace lost opportunities for physical activity. Therefore, we conclude that it is necessary to induce the usage of green space so that many people can take advantage of the functions and benefits of greenery, which stood out during the pandemic era.-
dc.language영어-
dc.language.isoen-
dc.publisherMDPI-
dc.titleThe Factors and Relationships Influencing Forest Hiking Exercise Characteristics after COVID-19 Occurrence: At Seoul Metropolitan Area and in Hikers' 20s and 30s-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, Seoncheol-
dc.identifier.doi10.3390/ijerph192416403-
dc.identifier.scopusid2-s2.0-85144537093-
dc.identifier.wosid000902470900001-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, v.19, no.24, pp.1 - 13-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH-
dc.citation.titleINTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH-
dc.citation.volume19-
dc.citation.number24-
dc.citation.startPage1-
dc.citation.endPage13-
dc.type.rimsART-
dc.type.docType정기학술지(Article(Perspective Article포함))-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEnvironmental Sciences & Ecology-
dc.relation.journalResearchAreaPublic, Environmental & Occupational Health-
dc.relation.journalWebOfScienceCategoryEnvironmental Sciences-
dc.relation.journalWebOfScienceCategoryPublic, Environmental & Occupational Health-
dc.subject.keywordPlusage structure-
dc.subject.keywordPlusCOVID-19-
dc.subject.keywordPlusenvironmental factor-
dc.subject.keywordPlusgreenspace-
dc.subject.keywordPlushealth status-
dc.subject.keywordPlusmetropolitan area-
dc.subject.keywordPlusmountain region-
dc.subject.keywordPlusmovement-
dc.subject.keywordPlusphysical activity-
dc.subject.keywordPlusrecreational activity-
dc.subject.keywordPluswalking-
dc.subject.keywordAuthorCOVID-19-
dc.subject.keywordAuthorurban mountains-
dc.subject.keywordAuthorexercise recorded data-
dc.subject.keywordAuthorhiking exercise characteristics-
dc.subject.keywordAuthorMillennials and Generation Z-
dc.subject.keywordAuthorlinear mixed model-
dc.identifier.urlhttps://www.mdpi.com/1660-4601/19/24/16403-
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