Visualization of Three Tourist Attractions in Three Minority Locations: Low-Carbon Transitions

Abstract

The presence of millions of tourists and the absence of scientific evidence exacerbate the silence of alarming destruction of resources at China’s minority tourist attractions. These destructive forces motivate us to develop a quantitative and assessment model for the low-carbon transition across time for the tourism industry. We apply the DPSIR framework to construct the measurement indices, the Cloud Analytic Hierarchy Process (CAHP) to obtain indicator weights, and the Cloud Model for transforming linguistic information to potential indicators. We collected data from multiple sources with multiple methods and evaluated the low-carbon tourism across three periods (2010, 2012, and 2017) at three Dong culture minority attractions in three provinces of China. Among tourist attractions, Liping and Huangdu have upgraded from fair ratings in 2010 and 2012 to good ratings in 2017, yet Chengyang has not yet changed during the same periods. We lay the foundation for measuring and visualizing the low-carbon transition, or the lack thereof, at three tourist attractions in minority locations over time. Our visualization of low-carbon transition helps policy-makers integrate theory and practice for a niche market, nudge managers and tourists to promote sustainable tourism in other sites globally and offer practical implications to the field of organizations and the natural environment