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分析新疆南部四地区城市韧性的时空演变。

Analysis of the Spatial and Temporal Evolution of Urban Resilience in Four Southern Regions of Xinjiang.

机构信息

School of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830049, China.

Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China.

出版信息

Int J Environ Res Public Health. 2023 Mar 14;20(6):5106. doi: 10.3390/ijerph20065106.

DOI:10.3390/ijerph20065106
PMID:36982013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10049044/
Abstract

Resilience theory plays a pivotal role in promoting sustainable urban development and the long-term stable development of the national economy. Based on the "scale-density-form" model of urban resilience, this paper shifts the perspective of urban resilience from the eastern region with higher level of economic development and better infrastructure construction to the arid northwest region with more fragile ecological environment and weaker urban development potential, which enriches the connotation and mechanism of urban resilience to a certain extent. Using ArcGIS platforms, statistical data and remote sensing data as data sources, this paper analyzes the urban resilience of four southern Xinjiang regions (Aksu Administrative Office, Kashgar Administrative Office, Kizilsu Kirgiz Autonomous Prefecture and Hotan Administrative Office) in time and space from 2000 to 2020 using a three-dimensional resilience analysis framework based on scale, density and morphology. The results show that the urban de-development of the study area faces a strong scale safety constraint due to the small available land area in the study area, which leads to its small urban construction land area. The county- and city-scale elasticity levels of Aksu Administrative Office and Kashgar Administrative Office are higher than the average level of the study area, while most of the counties and cities in Kizilsu Kirgiz Autonomous Prefecture and Hotan Administrative Office are lower than the average level of the study area, with large differences between counties and cities. The geographical location of the study area determines the backwardness of the region in terms of ideology, production methods and technology, which seriously restricts the development of local society and economy. In terms of density resilience, there are large differences among counties and cities in the study area, and the density resilience of Aksu, Kashgar and Kucha is much higher than that of other counties and cities. In terms of morphological resilience, with the increasing prominence of ecological status, the urban landscape layout of the study area has changed significantly, leading to changes in the distance between its blue-green landscape and gray-white landscape, which in turn causes changes in morphological resilience. Based on the above findings, initiatives and paths for resilience regulation in the study area are proposed in terms of scale, density and morphology. The study also has a reference value for local urban safety development.

摘要

韧性理论在促进可持续城市发展和国家经济的长期稳定发展方面发挥着关键作用。基于城市韧性的“规模-密度-形态”模型,本文将城市韧性的视角从经济发展水平较高、基础设施建设较好的东部地区转移到生态环境更为脆弱、城市发展潜力较弱的干旱西北地区,在一定程度上丰富了城市韧性的内涵和机制。本文利用 ArcGIS 平台、统计数据和遥感数据作为数据源,采用基于规模、密度和形态的三维韧性分析框架,对 2000 年至 2020 年期间四个南疆地区(阿克苏地区、喀什地区、克孜勒苏柯尔克孜自治州和和田地区)的城市韧性进行了时空分析。结果表明,由于研究区可用土地面积较小,研究区城市发展面临着强烈的规模安全约束,导致城市建设用地面积较小。阿克苏地区和喀什地区的县-市尺度弹性水平高于研究区平均水平,而克孜勒苏柯尔克孜自治州和和田地区的大部分县和市都低于研究区平均水平,县和市之间差异较大。研究区的地理位置决定了该地区在思想、生产方式和技术方面的落后,严重制约了当地社会经济的发展。在密度韧性方面,研究区各县市之间存在较大差异,阿克苏、喀什和库车的密度韧性远高于其他县市。在形态韧性方面,随着生态地位的日益突出,研究区的城市景观布局发生了显著变化,导致其蓝绿景观与灰白景观之间的距离发生了变化,进而导致形态韧性发生了变化。基于上述发现,本文从规模、密度和形态三个方面提出了研究区韧性调控的举措和路径。该研究对当地城市安全发展具有参考价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/b83968467f94/ijerph-20-05106-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/440462978aa8/ijerph-20-05106-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/b6f71ac506cd/ijerph-20-05106-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/5cc908fd50c1/ijerph-20-05106-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/10af987538d2/ijerph-20-05106-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/9cb02c71415b/ijerph-20-05106-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/4b49efb70cf9/ijerph-20-05106-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/9031547817e7/ijerph-20-05106-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/f3825bace2c5/ijerph-20-05106-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/f3a8c0b35189/ijerph-20-05106-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/eabe67b67655/ijerph-20-05106-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/b83968467f94/ijerph-20-05106-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/440462978aa8/ijerph-20-05106-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/b6f71ac506cd/ijerph-20-05106-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/5cc908fd50c1/ijerph-20-05106-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/10af987538d2/ijerph-20-05106-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/9cb02c71415b/ijerph-20-05106-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/4b49efb70cf9/ijerph-20-05106-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/9031547817e7/ijerph-20-05106-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/f3825bace2c5/ijerph-20-05106-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/f3a8c0b35189/ijerph-20-05106-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/eabe67b67655/ijerph-20-05106-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7152/10049044/b83968467f94/ijerph-20-05106-g011.jpg

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