Spatial-Temporal Evolution Characteristics Analysis of Color Steel Buildings in Lanzhou City

Author:

Wang Wenda12,Li Xiao13ORCID,Wang Ting4,Wang Shaohua3,Wang Runqiao1,Xu Dachuan13ORCID,Zhou Junyuan13

Affiliation:

1. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China

2. China Railway Construction Bridge Engineering Bureau Group Co., Ltd., Tianjin 300300, China

3. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

4. Unit 32016, People’s Liberation Army, Lanzhou 730000, China

Abstract

With the continuous acceleration of China’s urbanization process, color steel plate, as a new type of building material, has been widely used in all kinds of temporary buildings and has become the spatial carrier of the specific development stage of urbanization. This study focuses on Lanzhou City as a case study to deeply analyze the spatiotemporal distribution and evolution of color steel plate buildings. Utilizing data extracted from Google imagery and GF-2 satellite images of the built-up areas in Lanzhou, spatial statistical and analytical methods such as centroid analysis, compactness index, and patch density are applied. Systematic analysis is conducted across different time periods and spatial scales to examine the evolution of indicators, including quantity, centroid distribution, spatial clustering, and distribution direction. The results show that from 2013 to 2021, the prevalence of color steel buildings in Lanzhou city initially increased and then decreased, and the number peaked in 2017, but there is a significant difference between distinct areas in the urban area. By quantitatively analyzing the spatial and temporal evolution characteristics of color steel plate buildings, this study reveals the important role it plays in promoting the urbanization process and provides a scientific basis for relevant planning decisions.

Funder

Natural Science Foundation of Gansu Province

National Key R&D Program of China

Talent Introduction Program Youth Project of the Chinese Academy of Sciences

innovation group project of the Key Laboratory of Remote Sensing and Digital Earth Chinese Academy of Sciences

Henan Zhongmu County Research Project

CBAS project 2023, Remote Sensing Big Data Analytics Project

Beijing Chaoyang District Collaborative Innovation Project

Publisher

MDPI AG

Reference84 articles.

1. Analysis of the Factors Affecting the Degree of Urban Expansion: Taking Wuhan City as an Example;Song;Geomat. Inf. Sci. Wuhan Univ.,2021

2. Managing urban development could halve nitrogen pollution in China;Deng;Nat. Commun.,2024

3. Innovative Approaches, Tools and Visualization Techniques for Analysing Land Use Structures and Dynamics of Cities and Regions (Editorial);Hecht;J. Geovis Spat. Anal.,2020

4. Multi-Scenario Simulation of Urban Land Change in Shanghai by Random Forest and CA-Markov Model;Zhou;Sustain. Cities Soc.,2020

5. Study on the spatial structure and driving force of urban areas in Beijingbased on building space structure;Zhang;Geogr. Res.,2013

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3