|Table of Contents|

Analysis on the Attractiveness of the Ports in the GBA to the Main Cities in the Pan-Pearl River Delta and Its Spatial Structure Evolution(PDF)

《南京师大学报(自然科学版)》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2022年04期
Page:
60-65
Research Field:
地理学
Publishing date:

Info

Title:
Analysis on the Attractiveness of the Ports in the GBA to the Main Cities in the Pan-Pearl River Delta and Its Spatial Structure Evolution
Author(s):
Tang YuhongLai Chaoan
(School of Business Administration,South China University of Technology,Guangzhou 510006,China)
Keywords:
GBA port groupPan-Pearl River Deltaport attractivenessspatial structure
PACS:
F129.9
DOI:
10.3969/j.issn.1001-4616.2022.04.009
Abstract:
The evaluation index system of port scale in Guangdong-Hong Kong-Macao Greater Bay Area is constructed,and the entropy method is used to measure the scale of each port in the GBA,the Huff model is used to construct an attractive model for the ports in the GBA to the main cities in the Pan-Pearl River Delta. On this basis,the spatial structure development and spatial evolution trend of the attractiveness of the ports in the GBA and the main cities in the Pan-Pearl River Delta under the background of strategic cooperation are studied. The research shows that the attractive network structure between the ports in the GBA and the main cities in the Pan-Pearl River Delta has gradually changed from the “iron triangle”pattern of “Guangzhou Port-Shenzhen Port-Hong Kong Port”to a multilateral connection with “Guangzhou,Shenzhen,Hong Kong as the core and Dongguan,Foshan,Zhaoqing as the support”. The spatial development pattern of the attractiveness of the ports has gradually evolved from “high in the east and low in the west”“high in the north and south”to “steep in the east and slow in the west”“high in the north and low in the south”. However,there are obvious advantages of some port cities and uneven development on the east and west banks of the Pearl River.

References:

[1]叶玉瑶. 城市群空间演化动力机制初探——以珠江三角洲城市群为例[J]. 城市规划,2006(1):61-66,87.
[2]锁利铭,陈斌. 地方政府合作中的意愿分配:概念、逻辑与测量——以泛珠三角为例[J]. 学术研究,2021(4):58-67.
[3]江金波,李欢,蒋婷婷. 基于能力结构关系模型的泛珠三角旅游合作创新研究[J]. 旅游学刊,2017,32(10):67-77.
[4]陈喜强,姚芳芳. 协调发展视角下政府主导区域一体化战略的政策效应评估——以泛珠三角地区9省区居民收入为例的考察[J]. 贵州社会科学,2020(5):125-133.
[5]陆大道. 关于珠江三角洲大城市群与泛珠三角经济合作区的发展问题[J]. 经济地理,2017,37(4):1-4.
[6]锁利铭,阚艳秋. 战略赋能、多重嵌套与区域合作网络结构变迁——以“泛珠三角”和“粤港澳大湾区”为例[J]. 上海行政学院学报,2021,22(5):78-90.
[7]向晓梅,杨娟. 粤港澳大湾区产业协同发展的机制和模式[J]. 华南师范大学学报(社会科学版),2018(2):17-20.
[8]CHEN G Z,XIE J,LI W H,et al. Future“local climate zone”spatial change simulation in Greater Bay Area under the shared socioeconomic pathways and ecological control line[J]. Building and environment,2021,203:108077.
[9]覃成林,柴庆元. 交通网络建设与粤港澳大湾区一体化发展[J]. 中国软科学,2018(7):71-79.
[10]CHEN M Y,LU H P. Analysis of transportation network vulnerability and resilience within an urban agglomeration:case study of the Greater Bay Area,China[J]. Sustainability,2020,12(18):7410.
[11]王方方,杨焕焕. 粤港澳大湾区城市群空间经济网络结构及其影响因素研究——基于网络分析法[J]. 华南师范大学学报(社会科学版),2018(4):110-120,191.
[12]刘成昆,陈致远. 粤港澳大湾区城市旅游竞争力的实证研究[J]. 经济问题探索,2019(2):88-94.
[13]陈杰,刘佐菁,苏榕. 粤港澳大湾区人才协同发展机制研究——基于粤港澳人才合作示范区的经验推广[J]. 科技管理研究,2019,39(4):114-120.
[14]彭芳梅. 粤港澳大湾区及周边城市经济空间联系与空间结构——基于改进引力模型与社会网络分析的实证分析[J]. 经济地理,2017,37(12):57-64.
[15]崔建华,黎伟林. 经济增长质量测度与时空演进特征——以粤港澳大湾区九市为例[J]. 工业技术经济,2021,40(12):139-147.
[16]狄乾斌,雷晓宇. 基于Huff模型的京津冀地区港口一体化问题探讨[J]. 海洋开发与管理,2016,33(12):3-7.
[17]徐鹏飞,陆禹翰. 基于首位度和位序-规模法则的长三角港口群发展演化分析[J]. 水运工程,2021(11):38-43,73.
[18]乔文怡,管卫华,王晓歌,等. 基于绿色理念的港口城市耦合系统动力学研究——以连云港市为例[J]. 南京师大学报(自然科学版),2018,41(1):140-148.
[19]姜晓丽,张平宇. 基于Huff模型的辽宁沿海港口腹地演变分析[J]. 地理科学,2013,33(3):282-290.

Memo

Memo:
-
Last Update: 2022-12-15