Identification of Urban Hinterland Based on Traffic Accessibility: A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area

被引:1
|
作者
Wen H. [1 ]
Jiang L. [1 ]
机构
[1] School of Civil Engineering and Transportation, South China University of Technology, Guangzhou
基金
中国国家自然科学基金;
关键词
Econo-mic linkage intensity; Guangdong-Hong Kong-Macao Greater Bay Area; Road network density; Spatial connection; Traffic accessibility; Urban hinterland;
D O I
10.12141/j.issn.1000-565X.210014
中图分类号
学科分类号
摘要
To effectively define the spatial scope of urban agglomeration considering traffic conditions and urban economic links so as to assist the transportation planning and spatial integrative development of the Guangdong-Hong Kong-Macao Greater Bay Area, firstly, the spatial pattern of raster grid highway traffic accessibility, road network density and economic connection intensity for the Guangdong-Hong Kong-Macao Greater Bay area were calculated and analyzed based on geographic information system (GIS) spatial analysis technology and modified gravity model. Then, different scales of urban hinterland were extracted and divided basing on highway traffic accessibility and urban connection degree. The research shows that the urban traffic accessibility of Guangdong-Hong Kong-Macao Greater Bay Area increases in a circle of " core-periphery " with Guangzhou-Foshan, Shenzhen-Guanzhou and other central cities as the center, while the traffic accessibility in counties presents a distribution pattern of " high in the middle and low at both ends". The overall traffic accessibility of Guangdong-Hong Kong-Macao Greater Bay A-rea is at a high level, but all the cities in the Greater Bay Area have not yet achieved 1h access. Under the special development background of "one country, two systems and three customs zones", the traffic linkages and coordination mechanisms between cities and within cities in the Bay Area are still relatively weak, and the traffic bottleneck problems in the inter-provincial and inter-city administrative boundaries are still prominent. The spatial network trend of economic connection intensity in the research area is significant. The leading cities such as Shenzhen, Hong Kong, Guangzhou, Foshan and Dongguan have obvious radiation effects, while the low value areas are distributed in the marginal areas with poor traffic accessibility. The urban hinterland area considering traffic conditions and economic scale in the Guangdong-Hong Kong-Macao Greater Bay Area does not match the corresponding administrative area. The urban hinterland of the two-wings in the Greater Bay Area is gradually "nibbed" by the central core cities. It is suggested to promote the internal space linkages between the central core cities of the Guangdong-Hong Kong-Macao Greater Bay Area urban and to promote the population flow and traffic flow. Thus can give full play to the intermediary role of the secondary center in cross-regional cooperation, and ultimately achieve the regional traffic planning and management of the super-large area without administrative constraints and realize the sustainable and balanced development of the Greater Bay Area. © 2021, Editorial Department, Journal of South China University of Technology. All right reserved.
引用
收藏
页码:79 / 88
页数:9
相关论文
共 16 条
  • [1] LI Yan, SUN Yang, YAO Shimou, Cross-border ports and the spatial linkages of China's global city regions in the context of "one country, two systems": taking the Guangdong-Hong Kong-Macao Greater Bay Area as an example, Geographical Research, 39, 9, pp. 163-183, (2020)
  • [2] LIN Xiongbin, YANG Jiawen, Metropolitan high-speed rail supply and its efficiency in the Guangdong-Hong Kong-Macao Greater Bay Area: case of Shenzhen-Huizhou-Shanwei, Economic Geography, 40, 2, pp. 61-69, (2020)
  • [3] PENG Fangmei, Economic spatial connection and spatial structure of Guangdong-Hong Kong-Macao Greater Bay and the surrounding area cities-an empirical analysis based on improved gravity model and social network analysis, Economic Geography, 37, 12, pp. 57-64, (2017)
  • [4] LU Peiying, WANG Bo, The importance of integrated transport in fostering the formation of the Guangdong-Hong Kong-Macao Greater Bay Area, Progress in Geography, 37, 12, pp. 1623-1632, (2018)
  • [5] JI Xiaofeng, JIANG Li, CHEN Fang, Spatio-temporal cooperative evolution analysis of transportation superiority and county urbanization in Yunnan province, Scientia Geographica Sinica, 37, 12, pp. 1875-1884, (2017)
  • [6] WANG Wu-lin, YANG Wen-yue, CAO Xiao-shu, Research on coordination degree between road transport superiority degree and county economic level in Wuling Mountain area, Human Geography, 6, pp. 99-109, (2019)
  • [7] LIN Xiongbin, YANG Jiawen, The temporal-spatial impacts of transport investment on economic growth: an empirical analysis of provincial panel data, 1997-2013, Geographical Research, 35, 9, pp. 1727-1739, (2016)
  • [8] CAI Wan-hua, YE A-zhong, Interactive relationship among transportation, economic growth and carbon emissions based on PVAR model, Journal of Transportation Systems Engineering and Information Technology, 17, 3, pp. 26-31, (2017)
  • [9] CAO X S, OUYANG S S, YANG W Y, Et al., Transport Accessibility and Spatial Connections of Cities in the Guangdong-Hong Kong-Macao Greater Bay Area, Chinese Geographical Science, 29, 5, pp. 820-833, (2019)
  • [10] WEN Yu-zhao, ZHONG Ye-xi, HUANG Jie, The effects of the traffic network evolution on the hinterland of central cities: a case of Jiangxi Province, Economic Geography, 33, 6, pp. 59-65, (2013)