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The perceived restorativeness of coastal landscapes by workers in a marine institute: a pilot experiment
Citable as data publication
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. https://doi.org/10.14284/635

Availability: Creative Commons License This dataset is licensed under a Creative Commons Attribution 4.0 International License.

Description
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. more

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.

Scope
Themes:
Coastal studies (e.g. shores, estuaries)
Keywords:
Marine/Coastal, Blue health, Coastal environment, Ocean and human health, Perceived restorativeness, ANE, Belgium, Belgian Coast

Geographical coverage
ANE, Belgium, Belgian Coast [Marine Regions]

Temporal coverage
1 July 2019 - 31 August 2019

Parameters
Demography
Mental health
Perceived restorativeness of coastal environments and attributes
Residential proximity

Contributors
Vlaams Instituut voor de Zee (VLIZ), moredata creatordata creator
Ghent University; Faculty of Medicine and Health Sciences; Department of Public Health and Primary Care, moredata creatordata creator
Ghent University; Faculty of Political and Social Sciences; Department of Sociology, moredata creatordata creator

Project
BlueHealth: BlueHealth: The restoration potential of the Belgian coast, more

Publication
Based on this dataset
Hooyberg, A. et al. (2022). ‘Blue’ coasts: Unravelling the perceived restorativeness of coastal environments and the influence of their components. Landsc. Urb. Plan. 228: 104551. https://dx.doi.org/10.1016/j.landurbplan.2022.104551, more

Dataset status: Completed
Data type: Data
Data origin: Research: field survey
Metadatarecord created: 2023-09-22
Information last updated: 2023-09-22
All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy