Using geo-tagged Instagram posts to reveal landscape values around current and proposed hydroelectric dams and their reservoirs

《Using geo-tagged Instagram posts to reveal landscape values around current and proposed hydroelectric dams and their reservoirs》

打印

作者

来源: LANDSCAPE AND URBAN PLANNING,Vol.170,P.283-292

语言: 英文

关键字: Landscape values; Hydroelectric dam; User generated content social media; Instagram; Geographic information; Spatial analysis; CULTURAL ECOSYSTEM SERVICES; PUBLIC-PARTICIPATION GIS; IN-PLACE VALUES; SOCIAL MEDIA; ATTACHMENT; ENVIRONMENT; VALIDATION; ENGAG

作者单位: [Chen, Yan; Sherren, Kate] Dalhousie Univ, Sch Resource & Environm Studies, Halifax, NS, Canada. [Parkins, John R.] Univ Alberta, Dept Resource Econ & Environm Sociol, Edmonton, AB, Canada. Chen, Y (reprint author), Dalhousie Univ, Fac Management, Sch Resource & Environm Studies, 6100 Univ Ave, Halifax, NS B3H 4R2, Canada. E-Mail: yanchen@dal.ca; jparkins@ualberta.ca; kate.sherren@dal.ca

摘要: Landscape values indicate how humans perceive and evaluate the landscape. In our study areas, two hydroelectric proposals have the potential to alter the landscape dramatically, particularly the river (reservoir) and riparian land. An understanding of the spatial patterns of landscape values, especially the social and cultural values which are intangible and underestimated in energy planning processes, can help decision makers to anticipate public concerns and adjust or abandon project proposals accordingly. Intangible landscape values can be revealed in part by leveraging social media. Such data sources have two benefits in relation to the challenges of previous, manual approaches: they give us access to people (e.g. youth) who are often absent in conventional participation methods, and provide large datasets at low cost. We collected photos and captions that were geo-tagged to the study areas on the social media site Instagram, and built a filtering model to increase validity of data for the calculation of point density (specifically, kernel density estimation). The density maps reveal that: (1) landscape values vary over space; (2) aesthetic value was most widespread (not surprising given typical uses of the Instagram platform); (3) town areas, especially the old ones, and popular viewpoints were most likely to be attractors for multiple values. People tend to accept and appreciate familiar landscapes, thus proponents should make particular allowances for locations of key values and multiplex values.