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

被引：10

作者：

Lin, Peiqun ^{[1
]}

He, Yitao ^{[1
]}

Pei, Mingyang ^{[1
,2
]}

机构：

[1] South China Univ Technol, Dept Civil & Transportat Engn, Guangzhou 510641, Peoples R China

[2] Univ S Florida, Dept Civil & Environm Engn, Tampa, FL 33620 USA

来源：

IEEE ACCESS | 2020年 / 8卷

基金：

中国国家自然科学基金;

关键词：

Data analysis; Guangdong-Hong Kong-Macao greater bay area (GBA); Hong Kong-Zhuhai-Macao bridge (HZMB); hub city evolution; PEARL RIVER DELTA; BIG DATA ANALYTICS; TRANSPORTATION; CHINA; OPTIMIZATION; ENVIRONMENT; NETWORKS; SERVICES; TRANSIT; TIME;

D O I：

10.1109/ACCESS.2020.2963852

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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'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' 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.

引用

页码：12043 / 12056

页数：14

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