Business School, Sichuan University, Chengdu 610065, China.
The Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China.
Int J Environ Res Public Health. 2020 Jan 28;17(3):792. doi: 10.3390/ijerph17030792.
Tourism and transportation have extremely complex interactions. Tourism developments have expanded demand and stimulated transportation development, which has consequently affected the environment of cities striving towards low-carbon sustainable development. Therefore, there has been an increased research focus on the coordinated binary development of the tourism and transportation industries to ensure sustainable low-carbon cities. To this end also this paper first developed a comprehensive evaluation index system with three subsystems, seven aspects, and 31 indicators. Then, entropy weight and gray correlation were combined to determine the index weights and a physics coupling concept employed to build a tourism, transportation and low-carbon city (TTLC) coupling coordination degree model, which was then applied to quantitatively analyze the coupling and evolutionary trends in Chongqing's TTLC efforts from 2008 to 2017. It was found that the overall coupling coordination was volatile and rising, and that industry scale, industry performance, and energy consumption had the most significant impact on the coupled systems, indicating that these key factors must be considered in macro decision-making. In general, it was shown that the combination of the coupling coordination degree model and entropy weight gray correlation was able to effectively evaluate dynamic coupling relationships.
旅游与交通之间存在着极其复杂的相互作用。旅游发展扩大了需求并刺激了交通发展，这反过来又影响了低碳可持续发展城市的环境。因此，人们越来越关注旅游和交通产业的协调二元发展，以确保可持续的低碳城市。为此，本文首先开发了一个综合评价指标体系，该体系由三个子系统、七个方面和 31 个指标组成。然后，将熵权和灰色关联相结合来确定指标权重，并采用物理耦合概念来构建旅游、交通和低碳城市（TTLC）的耦合协调度模型，然后应用该模型对重庆 2008 年至 2017 年的 TTLC 努力进行定量分析。结果表明，整体耦合协调是不稳定的，且呈上升趋势，行业规模、行业绩效和能源消耗对耦合系统的影响最大，这表明在宏观决策中必须考虑这些关键因素。总体而言，结果表明，耦合协调度模型与熵权灰色关联的结合能够有效地评估动态耦合关系。
