{"datasetrec":{"DasID":8386,"Acronym":null,"StandardTitle":"The perceived restorativeness of coastal landscapes by workers in a marine institute: a pilot experiment","OrigTitle":null,"OrigTitleLangID":null,"OrigTitleLangCode":null,"OrigTitleLang":null,"OrigTitleLangNL":null,"VersionName":null,"ContactEmail":null,"VersionDate":null,"VersionDay":null,"VersionMonth":null,"VersionYear":null,"SizeReference":null,"EngAbstract":"The overall aim of this study was to develop a valid picture-rating experiment that was able to evaluate the perceived restorativeness of nine types of coastal landscapes (i.e. town centres, recreational harbours, docks, piers, dikes, sandy beaches, dunes, and green natural spaces) and to investigate the influence of ‘attributes’ of these landscapes (i.e. presence/absence of plastic, benches, cars, beach cabins, breakwaters, bars & restaurants, buildings, walking paths, and vegetation). A secondary aim was to identify important individual characteristics that influence the perceived restorativeness to assess which aspect of perceived restorativeness (being away, fascination, overall restorativeness) are affected most by the environments and attributes.","EngDescr":"A pilot picture-rating experiment was developed. The Belgian coast was scanned and combinations of different coastal landscapes and attributes were photographed by the researchers. Employees and students of the Flanders Marine Institute were invited on appointm ent in the summer of 2019 to watch a selection of 112 pictures from the larger set and to fill in a short version of the Perceived Restorativeness Scale (with items fascination, being away, and extent to be answered on a scale from 0 to 10). Each participant also completed a questionnaire about demography, residential proximity to the coast, and health (burnout assessment tool). The data was analysed via explorative boxplots, correlations, and ANOVA models. The data resulted in five lessons learned from this pilot-study: (1) more natural coastal environments seem to result in a higher perceived restorativeness; (2) the presence of plastic, cars, buildings, and other anthropogenic attributes seem to reduce the perceived restorativeness of these environments; (3) the age, sex, and wage seem to influence the ratings and should be accounted for in the analyses in future research along with standardly used covariates (e.g. smoking status); (4) mental health and residential proximity to t he coast should be considered as essential moderating factors during the analyses in future research; (5) the overall restorativeness and being away seem to be most reactive to different coastal environments. The data from this pilot-study can help researchers to finetune their methods with regard to developing a valid picture set and relevant items of perceived restorativeness, and to query important covariates and moderating factors in a background questionnaire.","OrigAbstract":null,"OrigDescr":null,"Comments":null,"ReleaseDate":null,"ReleaseDate0":null,"OrigDescrLang":null,"EmbargoDate":null,"OrigDescrLangNL":null,"OrigLangCode":null,"OrigLangCodeExtended":null,"OrigLangID":null,"DescrCompFlag":0,"DescrTransFlag":0,"Citation":"Hooyberg, A.; Michels, N.; Roose, H.; De Henauw, S.; Vandegehuchte, M.; Everaert, G.; Flanders Marine Institute; Department of Public Health and Primary Care (Ugent); Department of Sociology (Ugent): Belgium; (2023): The perceived restorativeness of coastal landscapes by workers in a marine institute: a pilot experiment. Marine Data Archive.","AccessConstraints":null,"UDate":"2023-09-22","CDate":"2023-09-22","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-05-30 01:37:59.451226","timezone_type":1,"timezone":"+02:00"},"CheckedFlag":0,"PublicFlag":1,"VlizCoreFlag":1,"MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"StatusID":1,"DasType":"Data","DasTypeID":1,"DasOrigin":"Research: field survey","Progress":"Completed","AccessConstraint":"Attribution (CC BY)","AccConstrEN":"Attribution (CC BY)","AccConstrDisplay":"<a rel=\"license\" href=\"https://creativecommons.org/licenses/by/4.0/\" target=\"_blank\"><img alt=\"Creative Commons License\" style=\"border:0px;height:15px;width:80px;vertical-align:middle;\" src=\"https://www.marinespecies.org/aphia/images/cc/by.png\" /></a> This dataset is licensed under a <a rel=\"license\" href=\"https://creativecommons.org/licenses/by/4.0/\" target=\"_blank\">Creative Commons Attribution 4.0 International License</a>.","License":"https://creativecommons.org/licenses/by/4.0/","AccConstrDescription":"This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.","Lineage":null,"AccConID":21},"dois":[{"DOIID":916,"PublicationYear":2023,"DOI":"10.14284/635","Citation":"Hooyberg, A.; Michels, N.; Roose, H.; De Henauw, S.; Vandegehuchte, M.; Everaert, G.; Flanders Marine Institute; Department of Public Health and Primary Care (Ugent); Department of Sociology (Ugent): Belgium; (2023): The perceived restorativeness of coastal landscapes by workers in a marine institute: a pilot experiment. 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Urb. Plan. 228</i>: 104551. <a href=\"https://dx.doi.org/10.1016/j.landurbplan.2022.104551\" target=\"_blank\">https://dx.doi.org/10.1016/j.landurbplan.2022.104551</a>","RR":"<b>Hooyberg, A. <i>et al.</i></b> (2022). ‘Blue’ coasts: Unravelling the perceived restorativeness of coastal environments and the influence of their components. <i>Landsc. Urb. Plan. 228</i>: 104551. <a href=\"https://dx.doi.org/10.1016/j.landurbplan.2022.104551\" target=\"_blank\">https://dx.doi.org/10.1016/j.landurbplan.2022.104551</a>","4":"‘Blue’ coasts: Unravelling the perceived restorativeness of coastal environments and the influence of their components","StT":"‘Blue’ coasts: Unravelling the perceived restorativeness of coastal environments and the influence of their components","5":"Hooyberg, A.; Michels, N.; Allaert, J.; Vandegehuchte, M.B.; Everaert, G.; De Henauw, S.; Roose, H.","RSA":"Hooyberg, A.; Michels, N.; Allaert, J.; Vandegehuchte, M.B.; Everaert, G.; De Henauw, S.; Roose, H.","6":"Gebaseerd op deze dataset","DutchTerm":"Gebaseerd op deze dataset","7":2022,"AnaDate":2022,"8":null,"MonDate":null,"9":". <i>Landsc. Urb. Plan. 228</i>: 104551. <a href=\"https://dx.doi.org/10.1016/j.landurbplan.2022.104551\" target=\"_blank\">https://dx.doi.org/10.1016/j.landurbplan.2022.104551</a>","":". <i>Landsc. Urb. Plan. 228</i>: 104551. <a href=\"https://dx.doi.org/10.1016/j.landurbplan.2022.104551\" target=\"_blank\">https://dx.doi.org/10.1016/j.landurbplan.2022.104551</a>","10":"https://dx.doi.org/10.1016/j.landurbplan.2022.104551","doi":"https://dx.doi.org/10.1016/j.landurbplan.2022.104551"}],"urls":null,"pictures":null,"urlmaps":null,"spatreps":null,"fileformats":null,"resmessage":"","complete":1}