主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

世界地理研究 ›› 2023, Vol. 32 ›› Issue (5): 34-45.DOI: 10.3969/j.issn.1004-9479.2023.05.2021510

• 世界政治与经济 • 上一篇    下一篇

环维多利亚湖国家人口城市化与基础设施耦合协调关系研究

祁明星1,2(), 陈爽1,2()   

  1. 1.南京信息工程大学,地理科学学院,南京 210044
    2.南京信息工程大学,“一带一路”城市可持续发展研究院,南京 210044
  • 收稿日期:2021-07-14 修回日期:2021-11-04 出版日期:2023-05-15 发布日期:2023-06-09
  • 通讯作者: 陈爽
  • 作者简介:祁明星(1997—),女,硕士研究生,研究方向为城市与区域可持续发展,E-mail:15028936830@163.com
  • 基金资助:
    国家重点研发计划项目(2018YFE0105900);国家自然科学基金面上项目(41771140)

Coupling and coordinating relationships between urbanization and infrastructure in the countries around Lake Victoria, Africa

Mingxing QI1,2(), Shuang CHEN1,2()   

  1. 1.School of Geographical Science, Nanjing University of Information Science & Technology, Nanjing 210044, China
    2.Research Centre of Urban Sustainable Development, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Received:2021-07-14 Revised:2021-11-04 Online:2023-05-15 Published:2023-06-09
  • Contact: Shuang CHEN

摘要:

采用熵值法构建城市人口与基础设施评价指标体系,运用耦合协调模型和障碍度模型,基于2008—2017年统计数据,对环维多利亚湖三个国家坦桑尼亚、乌干达和肯尼亚人口城市化与基础设施耦合协调度及障碍度进行研究。结果表明:环湖国家城市化和基础设施发展水平大多呈递增趋势,乌干达基础设施水平波动下降,但变幅不大。三个国家人口城市化发展综合指数在多数时间内要高于基础设施发展综合指数,二者的耦合协调度由濒临失调向中级耦合协调转变,但两大系统的匹配程度仍较低。综合三个国家的指标障碍度排序为X9>X2>(X10/X6/X7)>(X4/X3)>(X8/X1/X11)>X5,医疗水平是制约三个国家城市化与基础设施协调发展的最大障碍因素。研究结果有助于认识非洲国家城市基础设施供给水平与人口匹配现状,为城市化发展相关政策制定提供参考。

关键词: 人口城市化, 基础设施, 耦合协调度, 障碍度, 发展中国家

Abstract:

Based on the statistical data from 2008 to 2017, this paper uses the coupling coordination model and obstacle model to study the coupling coordination degree and obstacle degree of urbanization and infrastructure in Tanzania, Uganda and Kenya around Lake Victoria. The results show that the urbanization and infrastructure development levels of the countries around the lake are increasing as a whole, and the infrastructure level of Uganda fluctuates downward, but the change is small. Over a long time, the comprehensive index of urbanization development of the three countries is higher than that of infrastructure development. The coupling coordination degree of the two systems has improved in varying degrees, from on the verge of imbalance to intermediate coupling coordination, but the matching degree of the two systems is still low. The order of obstacle degree of the three countries is as follows: X9>X2>(X10/X6/X7)>(X4/X3)>(X8/X1/X11)>X5. The level of medical care is the biggest obstacle to the sustainable and coordinated development of urbanization in three countries. The results are helpful to understand the current situation of urban infrastructure supply and population matching in African countries, and it provides scientific data for policy-making related to urbanization development.

Key words: urbanization, infrastructure, coupling coordination degree, obstacle degree, developing country