2018
DOI: 10.1016/j.compenvurbsys.2017.10.001
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A geospatial evaluation of oil spill impact potential on coastal tourism in the Gulf of Mexico

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Cited by 24 publications
(8 citation statements)
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“…Hence, several aspects of socio-economic impacts such as tourism, culture, and recreation were also compromised as a result of the oil spill. These support previous studies, that one of the most affected sectors by the oil spill is food, accommodation, and tourism (Câmara et al 2021) and that economic losses in tourism might also be due to the perception of oiled beaches, that prospective tourists canceled their trips under the impression that the majority of the coastline was oiled (Nelson et al 2018).…”
Section: Discussionsupporting
confidence: 88%
“…Hence, several aspects of socio-economic impacts such as tourism, culture, and recreation were also compromised as a result of the oil spill. These support previous studies, that one of the most affected sectors by the oil spill is food, accommodation, and tourism (Câmara et al 2021) and that economic losses in tourism might also be due to the perception of oiled beaches, that prospective tourists canceled their trips under the impression that the majority of the coastline was oiled (Nelson et al 2018).…”
Section: Discussionsupporting
confidence: 88%
“…Values from an environmental sensitivity index (ESI) are often used for such purposes (Carmona et al, 2012; Depellegrin and Pereira, 2016; Kankara et al, 2016). In addition, ESI data can be used in conjunction with social, cultural, and economic indicators of sensitivity (Court et al, 2017; Nelson et al, 2015; Nelson et al, 2018; Wirtz and Liu, 2006). As a final step, the components are combined for a final risk or impact value (Al Shami et al, 2017; Goodsir et al, 2019; Singkran, 2013; Yu et al, 2018).…”
Section: Overview Of the Literaturementioning
confidence: 99%
“…Often, such efforts require that developed vulnerability metrics be combined with the oil spill data, at the particle level. This is commonly performed through core GIS functionality (e.g., spatial join of points to polygons) (Nelson et al, 2018), rasterizing the points based on oil characteristics (mass, volume, size, concentration) (Olita et al, 2012), or by spatial interpolation (Nelson and Grubesic, 2017a). After this stage of the analysis, the spatial concordance between oil and sensitive assets can be analyzed with statistical indices that account for the amount of oil within a given area and the sensitivity (or count) of the assets within the oiled area (Nelson and Grubesic, 2017b).…”
Section: Gis and Spatial Analysismentioning
confidence: 99%