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Data-Driven Analysis of Traffic Volume and Hub City Evolution of Cities in the Guangdong-Hong Kong-Macao Greater Bay Area

机译:广东 - 港澳大湾地区城市交通量和枢纽城市演变的数据驱动分析

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摘要

The longest cross-sea bridge worldwide, i.e., the Hong Kong-Zhuhai-Macao Bridge (HZMB), opened in October 2018, integrating nine cities and two special administrative regions of China & x2019;s Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The GBA is one of the regions with the most active economic vitality in China and has an important strategic position in the overall national development. Using full-sample freeway toll data of the GBA, this paper proposed a new structured evaluation methodology that combines the node degree, traffic volume, and topological and flow field-theory (e.g., agglomeration and distribution) to explore the hub city ranking and evolution in this area. The data period we selected to analyze is immediately before and after the opening of the HZMB, and we assess the counties & x2019; centrality changes in the GBA by analyzing these data. The findings reported in this paper can reflect the traffic hub evaluation process and provide more macroscopic intercity transportation views to the government.
机译:全球最长的跨海桥,即香港 - 珠海 - 澳门大桥(HZMB)于2018年10月开业,融合了九个城市和两个特殊行政地区和X2019;广东港 - 澳门大湾区(GBA)。 GBA是中国具有最活跃的经济活力的地区之一,在整体国家发展中具有重要的战略地位。本文采用全级高速公路收费数据,提出了一种新的结构化评价方法,将节点,交通量和拓扑和流场 - 理论(例如,集聚和分布)结合起来探索中心城市排名和进化在这个领域。我们选择分析的数据周期是在HZMB开放之前和之后的立即进行评估,评估县和X2019;通过分析这些数据,GBA的中心性变化。本文报告的调查结果可以反映交通中心评估过程,并向政府提供更多的宏观城间交通意见。

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