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利用空间矩阵测量孟加拉国库尔纳市的城市扩张模式。

Measuring urban expansion pattern using spatial matrices in Khulna City, Bangladesh.

作者信息

Alam Irtija, Nahar Kamrun, Morshed Md Manjur

机构信息

Department of Urban and Regional Planning, Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh.

出版信息

Heliyon. 2023 Jan 25;9(2):e13193. doi: 10.1016/j.heliyon.2023.e13193. eCollection 2023 Feb.

DOI:10.1016/j.heliyon.2023.e13193
PMID:36798770
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9925955/
Abstract

Khulna, the third-largest metropolitan area in Bangladesh, has become a potential site for the polycentric urbanization for multiple mega-projects. Measurement of urban expansion is essential for regulating haphazard growth and achieving effective management. This study aims to quantify and compare the urban expansion pattern of Khulna City Corporation (KCC) and surrounding areas' development hotspots. Landsat remote sensing images of 1990, 2000, 2010 and 2020 were used to perform supervised classification using Geographic Information System (GIS). To quantify urban expansion, we compute Annual Urban Expansion Rate, Urban Expansion Intensity Index, and Urban Expansion Differentiation Index. Although annual urban expansion in the study area was slow during the first two decades, it accelerated to 6.76% during the last decade. 48% of the total built-up areas have grown during 2010-2020 alone. Even though KCC experienced continuous urban growth over a thirty-year period, after 2010, the rate of urban expansion in peripheral areas exceeded that of KCC. Transboundary and intra-regional transportation and economic corridor development, establishment of economically potential zones (EPZ), urban to rural migration, availability of rich agriculture hinterland, low land price and several direct transportation links between the core and periphery are the major influencing factors of peri-urbanization.

摘要

库尔纳是孟加拉国第三大城市,已成为多个大型项目多中心城市化的潜在地点。测量城市扩张对于规范无序增长和实现有效管理至关重要。本研究旨在量化和比较库尔纳市公司(KCC)及周边地区发展热点的城市扩张模式。利用地理信息系统(GIS)对1990年、2000年、2010年和2020年的陆地卫星遥感图像进行监督分类。为了量化城市扩张,我们计算了年度城市扩张率、城市扩张强度指数和城市扩张分化指数。尽管在头二十年里,研究区域的年度城市扩张速度较慢,但在过去十年里加速至6.76%。仅在2010 - 2020年期间,建成区总面积的48%就实现了增长。尽管KCC在三十年里经历了持续的城市增长,但2010年之后,周边地区的城市扩张速度超过了KCC。跨界和区域内交通与经济走廊发展、经济潜力区(EPZ)的建立、城乡迁移、丰富农业腹地的存在、低地价以及核心区与周边地区之间的几条直接交通联系是城郊化的主要影响因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/4732d5acd824/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/5678491e1f95/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/751384c1f847/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/28175c84c364/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/bd41af8cb144/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/7806889377d3/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/1105a143e162/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/95e810ec282c/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/4732d5acd824/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/5678491e1f95/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/751384c1f847/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/28175c84c364/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/bd41af8cb144/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/7806889377d3/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/1105a143e162/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/95e810ec282c/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d426/9925955/4732d5acd824/gr8.jpg

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