Stefanie Döringer, Florian Porst, Lena Stumpf, Marco Heurich
{"title":"The Relationship between Measured Visitor Density and Perceived Crowding Revisited: Predicting Perceived Crowding in Outdoor Recreation","authors":"Stefanie Döringer, Florian Porst, Lena Stumpf, Marco Heurich","doi":"10.1080/01490400.2023.2265366","DOIUrl":null,"url":null,"abstract":"AbstractProtected areas around the globe face increasing visitation numbers and crowding, a situation exacerbated by the COVID-19 pandemic. Although measured visitor density and perceived crowding are strongly related, analyses of this relationship are lacking. We argue that measured visitor density serves as a reliable and objective indicator of perceived crowding. This study therefore examined the effects of visitation numbers, perceived encounters, and expectations on perceived crowding in the Bavarian Forest National Park (Germany). Automated visitor counts at six park locations were linked to data from an on-site crowding survey conducted in 2021. A predictive model and visitation thresholds were calculated using a logistic regression, which showed that visitation numbers are a well-suited predictor of crowding. The results indicated a strong association between measured visitor density and perceived crowding, moderated by site-specific conditions. The calculated thresholds provide a valuable instrument that can be used to inform the public in advance about peak visiting times.Keywords: Perceived crowdingpredictive modelprotected areavisitation numbersvisitor density AcknowledgmentsWe are indebted to the interviewers and to the survey participants in the Bavarian Forest National Park.Disclosure statementWe declare no conflict of interest.Additional informationFundingThis work was funded by the Bavarian State Ministry of the Environment and Consumer Protection, project “Analysis of the socio-ecological system in the Bavarian Forest National Park”.","PeriodicalId":48087,"journal":{"name":"Leisure Sciences","volume":"101 1","pages":"0"},"PeriodicalIF":2.2000,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Leisure Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/01490400.2023.2265366","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractProtected areas around the globe face increasing visitation numbers and crowding, a situation exacerbated by the COVID-19 pandemic. Although measured visitor density and perceived crowding are strongly related, analyses of this relationship are lacking. We argue that measured visitor density serves as a reliable and objective indicator of perceived crowding. This study therefore examined the effects of visitation numbers, perceived encounters, and expectations on perceived crowding in the Bavarian Forest National Park (Germany). Automated visitor counts at six park locations were linked to data from an on-site crowding survey conducted in 2021. A predictive model and visitation thresholds were calculated using a logistic regression, which showed that visitation numbers are a well-suited predictor of crowding. The results indicated a strong association between measured visitor density and perceived crowding, moderated by site-specific conditions. The calculated thresholds provide a valuable instrument that can be used to inform the public in advance about peak visiting times.Keywords: Perceived crowdingpredictive modelprotected areavisitation numbersvisitor density AcknowledgmentsWe are indebted to the interviewers and to the survey participants in the Bavarian Forest National Park.Disclosure statementWe declare no conflict of interest.Additional informationFundingThis work was funded by the Bavarian State Ministry of the Environment and Consumer Protection, project “Analysis of the socio-ecological system in the Bavarian Forest National Park”.
期刊介绍:
Leisure Sciences presents scientific inquiries into the study of leisure, recreation, parks, travel, and tourism from a social science perspective. Articles cover the social and psychological aspects of leisure, planning for leisure environments, leisure gerontology, travel and tourism behavior, leisure economics, and urban leisure delivery systems. Also published are methodological notes and philosophical and policy treatises, calendars of research meetings and conferences, announcements, and book reviews.