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Energy consumption and carbon emission for tourism transport in World Heritage Sites: a case of the Wulingyuan area in China

机译:世界遗产地旅游业的能源消耗和碳排放量-以中国武陵源地区为例

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摘要

Transport profoundly affects energy use and carbon dioxide emissions in the tourism sector. The Wulingyuan Scenic Area (WSA), a natural heritage destination in China, is chosen for the case study. The energy consumption and carbon emission of 10 types of tourism transportation modes at the destination are measured and analyzed using a bottom-up approach for the period of 1979 to 2010. Scenarios were created to project the effects of single and multiple factors on energy consumption and carbon emission by tourism transportation during 2011-2020. The results showed the following: (a) there is a large difference in energy consumption and carbon emission per capita and per kilometer per capita among the 10 vehicle modes; (b) the monthly energy consumption and carbon emission of tourism transportation differed significantly, the month with the highest (October) are respectively 6.8 and 4 times that of the lowest month (January); (c) the highest annual growth rate of energy consumption and carbon emission are respectively as 32.16% and 27.98% during 1979-2010; and (d) the amount of energy consumption and carbon emission in the multiple factor scenarios are lower than that in the reference and single factor scenarios during 2011-2020.
机译:运输对旅游业的能源使用和二氧化碳排放产生了深远的影响。案例研究选择了中国的自然遗产目的地武陵源风景区(WSA)。使用自下而上的方法对目的地的10种旅游运输方式的能源消耗和碳排放量进行了测量和分析(从1979年到2010年)。创建了一些情景来预测单个和多个因素对能源消耗和碳排放的影响。 2011-2020年旅游业运输产生的碳排放量。结果表明:(a)在10种车辆模式中,人均和每公里人均能源消耗和碳排放量差异很大; (b)旅游交通的每月能源消耗和碳排放量有显着差异,最高(十月)的月份分别是最低月(一月)的6.8和4倍; (c)1979-2010年期间,能源消耗和碳排放的最高年增长率分别为32.16%和27.98%; (d)在多因素情景下,2011-2020年的能源消耗和碳排放量低于参考情景和单因素情景下的能耗和碳排放量。

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