Search

Communities next to national parks, known as gateway communities, can benefit from national park development. Gateway communities are unique and limited in the degree to which, and direction in which, they can be developed. In this research, Banff National Park was used as a case study to explore residents' perceptions of the impact of national park tourism via a survey questionnaire distributed in communities at three different spatial levels (core, intermediate, and remote portal). The data analyses were based on a sample of 231 respondents and were processed using factor analysis and linear regression models for different communities. The results identified six impact factors, and the differences in each community were analyzed. The findings indicated that residents' perceptions of the impacts of tourism in the town of Canmore rank first, followed by those of Banff and Golden. The regression analysis revealed that Banff was found to have the most supportive residents, and their support for tourism was found to be significantly affected by community natural environmental factors and cultural development factors. Canmore residents were mainly affected by cultural factors. Golden residents were least supportive due to through natural environmental factors and quality of life factors. An adaptive analysis revealed that Banff has the closest economic relationship with national park tourism, and Golden the weakest. Balancing the positive and negative impacts of tourism, exploring more cultural service functions of the communities, seeking a more diverse industrial structure, planning year-round tourism, and cooperating with other communities to ensure local benefits are recommended. The findings may provide an additional understanding of the local perceptions of tourism impacts and local support from a spatial perspective and can help sustainable tourism management by assisting communities to optimize the tourism industry structure and local management strategies.

With the increasingly prominent environmental problems and the decline of fossil fuel reserves, the reduction of energy consumption (EC) has become a common goal in the world. Urea industry is a typical energy-intensive chemical industry. However, studies just focus on the breakthrough of specific production technology or only consider the EC in the production stage. This results in a lack of evaluations of the life cycle of energy consumption (LcEC). In order to provide a systematic, scientific, and practical theoretical basis for the industrial upgrading and the energy transformation, LcEC of urea production and the greenhouse gas (GHG) emissions generated in the process of EC are studied in this paper. The results show that the average LcEC is about 30.1 GJ/t urea. The EC of the materials preparation stage, synthesis stage, and waste-treatment stage (ECRMP, ECPP, ECWD) is about 0.388 GJ/t urea, 24.8 GJ/t urea, and 4.92 GJ/t urea, accounting for 1.3%, 82.4%, and 16.3% of LcEC, respectively. Thus, the synthesis stage is a dominant energy-consumer, in which 15.4 GJ/t urea of energy, accounting for 62.0% of ECpp, supports steam consumption. According to the energy distribution analysis, it can be concluded that coal presents the primary energy in the process of urea production, which supports 94.4% of LcEC. The proportion of coal consumption is significantly higher than that of the average of 59% in China. Besides, the GHG emissions in the synthesis stage are obviously larger than that in the other stage, with an average of 2.18 t eq.CO2/t urea, accounting for 81.3% of the life cycle of GHG (LcGHG) emissions. In detail, CO2 is the dominant factor accounting for 90.0% of LcGHG emissions, followed by CH4, while N2O is negligible. Coal is the primary source of CO2 emissions. The severe high proportion of coal consumption in the life cycle of urea production is responsible for this high CO2 content of GHG emissions. Therefore, for industrial urea upgrading and energy transformation, reducing coal consumption will still be an important task for energy structure transformation. At the same time, the reformation of synthesis technologies, especially for steam energy-consuming technology, will mainly reduce the EC of the urea industry. Furthermore, the application of green energy will be conducive to a win-win situation for both economic and environmental benefits.