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

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...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.12043-12056
Main Authors: Lin, Peiqun, He, Yitao, Pei, Mingyang
Format: Article
Language:English
Subjects:
Analytical models
Bridges
Data analysis
Economics
Evaluation
Evolution
Field theory
Guangdong-Hong Kong-Macao greater bay area (GBA)
Hong Kong-Zhuhai-Macao bridge (HZMB)
hub city evolution
Indexes
Interurban travel
Toll roads
Traffic control
Traffic volume
Transportation
Urban areas
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2963852