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Abstract

This study aims to examine how residents and visitors perceive social and environmental changes using photo sorting methods. The data for this study was collected using historic photographs representing various human and environmental change in the Khumbu (Mt Everest) region of epal as stimuli in two photo sorting tasks (multiple sort and Q sort). The multidimensional scaling models of multiple sort data revealed the three major dimensions of changes including tourism, cultural and landscape. The Q sort data shows that there are differences between local residents and outsiders, and younger and older groups of respondents in terms of how these changes were perceived. Local residents’ and outsiders’ perspectives differ on modernization, such as TV, the internet, and other technology, which supports the despondency theory.

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Understanding Environmental and Social Change using Photo Sorting Methods

This study aims to examine how residents and visitors perceive social and environmental changes using photo sorting methods. The data for this study was collected using historic photographs representing various human and environmental change in the Khumbu (Mt Everest) region of epal as stimuli in two photo sorting tasks (multiple sort and Q sort). The multidimensional scaling models of multiple sort data revealed the three major dimensions of changes including tourism, cultural and landscape. The Q sort data shows that there are differences between local residents and outsiders, and younger and older groups of respondents in terms of how these changes were perceived. Local residents’ and outsiders’ perspectives differ on modernization, such as TV, the internet, and other technology, which supports the despondency theory.