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Spatiotemporal variations of land urbanization and socioeconomic benefits in a typical sample zone: A case study of the Beijing-Hangzhou Grand Canal

机译:典型样品区土地城市化和社会经济效益的时空变化 - 以京杭大运河为例

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摘要

With rapid urbanization and industrialization, a substantial amount of rural land has been converted to urban land. Land urbanization has great socioeconomic benefits but also leads to imbalances in regional cities. In this work, an urban strip way to study the relationship between the land urbanization and socioeconomic benefits of cities is introduced. The research object includes 21 cities connected by the Beijing-Hangzhou Grand Canal, which are used to analyze the spatiotemporal variations of land urbanization and socioeconomic benefits from 1990 to 2015, and explores the human-land effect mechanism using the coupling coordination model and the geographically weighted regression model. The results show that cities with higher land urbanization, including Beijing, Suzhou, and Wuxi, can have greater socioeconomic benefits and coupling coordination degrees than other cities. However, Beijing's driving effect on the surrounding cities is obviously weaker than that of Suzhou and Wuxi, and the socioeconomic benefits of market-driven land urbanization in the south of China are more sustained than those of government-driven land urbanization in the north. Thus, the urban scrip study clearly shows the differences between the cities and makes the spatial comparison of cities easier, which provides a new idea for effect mechanism of unbalanced urban development, and has important value for encouraging the coordinated development of regional cities.
机译:随着城市化和工业化的快速,大量农村土地已被转换为城市土地。土地城市化具有巨大的社会经济效益,但也导致区域城市失衡。在这项工作中,介绍了一种城市条路,研究了城市土地城市化与社会经济效益之间的关系。该研究对象包括由北京杭州大运河联系的21个城市,用于分析1990年至2015年的土地城市化和社会经济效益的时空变化,并探讨了使用耦合协调模型和地理位置的人力土地效应机制加权回归模型。结果表明,北京,苏州和无锡包括较高土地城市化的城市可以拥有更大的社会经济效益和比其他城市的协调程度。然而,北京对周围城市的驾驶效果显然比苏州和无锡的驾驶效果显然弱,而中国南部市场驱动的土地城市化的社会经济效益比政府驱动的土地化在北方的土地化压力更加持续。因此,城市撇印研究清楚地表明了城市之间的差异,使城市的空间比较更容易,这为不平衡城市发展的影响机制提供了新的思路,并具有鼓励区域城市协调发展的重要价值。

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