首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Coupling Coordinated Evolution and Forecast of Tourism-Urbanization-Ecological Environment: The Case Study of Chongqing, China
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Coupling Coordinated Evolution and Forecast of Tourism-Urbanization-Ecological Environment: The Case Study of Chongqing, China

机译:旅游-城镇化-生态环境耦合协调演化与预测——以重庆市为例

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摘要

As an important pioneering city in western China, Chongqing's urbanization and tourism development have brought increasing pressure on the eco-environmental system. This paper presents a comprehensive index system for assessment of the level of tourism based on four aspects: market size, tourism economy, tourism resources, and tourism services. In this paper, we use five indices-economic urbanization, demographic urbanization, social urbanization, spatial urbanization, and cultural urbanization-to establishe a comprehensive index system for urbanization. The developed index system also characterizes the eco-environment based on three factors: eco-environmental pressure, eco-environmental response, and eco-environmental state. A coupling coordination degree model (CCDM) focusing on the degree of coupling coordination between tourism, urbanization, and the eco-environment was established using panel data collected from 2000 to 2017 for Chongqing, China. In addition, we used the gray prediction model to predict the degree of coupling coordination of the three systems in Chongqing from 2018 to 2023. The results showed that (1) overall, despite the twists and turns in the middle of the time period, the degree of coupling coordination of the three systems has become increasingly coordinated over time; (2) the three parameters (alpha-tourism, ss-urbanization, and d-eco-environmental) that have been widely used in previous studies had little effect on the coupling coordinated system; and (3) according to the prediction results, the degree of coupling coordination of the three systems will continue to rise slowly, and the cooperation between the three systems will be close to perfect by 2023, which means that the development of one system will greatly drive the other two systems.
机译:作为中国西部重要的先锋城市,重庆的城市化和旅游业的发展给生态环境系统带来了越来越大的压力。本文从市场规模、旅游经济、旅游资源、旅游服务四个方面提出了评价旅游水平的综合指标体系。本文采用经济城镇化、人口城镇化、社会城镇化、空间城镇化和文化城镇化5个指标,构建了城镇化综合指标体系。所建立的指标体系还基于生态环境压力、生态环境响应和生态环境状态3个因素对生态环境进行表征。利用2000—2017年重庆市的面板数据,建立了以旅游、城镇化和生态环境耦合协调度为重点的耦合协调度模型(CCDM)。此外,利用灰色预测模型预测了2018—2023年重庆市3个系统的耦合协调程度。结果表明:(1)总体上,尽管在时间段中间发生了波折,但随着时间推移,三个系统的耦合协调程度越来越协调;(2)前人研究中广泛使用的3个参数(alpha-旅游、SS-城市化和D-生态-环境)对耦合协调系统影响不大;(3)根据预测结果,三个系统耦合协调程度将继续缓慢上升,到2023年三个系统之间的合作将接近完美,这意味着一个系统的发展将极大地带动其他两个系统。

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