The Geographical Analysis of Megacities Through Changes in Their Individual Urban Objects

IF 3.3 3区 地球科学 Q1 GEOGRAPHY Geographical Analysis Pub Date : 2024-01-02 DOI:10.1111/gean.12386
Xiangning Fan, George Alan Blackburn, James Duncan Whyatt, Peter Michael Atkinson
{"title":"The Geographical Analysis of Megacities Through Changes in Their Individual Urban Objects","authors":"Xiangning Fan,&nbsp;George Alan Blackburn,&nbsp;James Duncan Whyatt,&nbsp;Peter Michael Atkinson","doi":"10.1111/gean.12386","DOIUrl":null,"url":null,"abstract":"<p>This research utilized global coverage, annual, high-quality land cover time-series data to explore the urban growth process in the core area, and in several buffer zones, of Beijing, Guangzhou, Shanghai, and Tokyo. We developed a conceptual model in which growth is characterized at the per-object level by four active growth events: introduction, establishment, dispersal, and coalescence, with a fifth inactivity event, stability. We developed a rule-base which allowed the direct measurement of establishment, dispersal and coalescence from observed inter-annual changes in the urban objects over time. By aggregating the object-level events to the landscape level we showed that these three events generally followed a synchronous temporal trend in terms of magnitude within the core area and within each buffer zone. There was no evidence for a logical sequence of events through time. The identified events dominated alternately over time, although synchronicity in magnitude far outweighed any differences in proportion between them. This points to a single underlying urbanization process: urban growth with a specific dynamic rate. Interestingly, synchronicity was not generally observed between the core and buffer zones. This proposed object-based method provides insights into the underlying urban growth process and could be used to build new urban growth models.</p>","PeriodicalId":12533,"journal":{"name":"Geographical Analysis","volume":"56 3","pages":"451-470"},"PeriodicalIF":3.3000,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gean.12386","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geographical Analysis","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/gean.12386","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0

Abstract

This research utilized global coverage, annual, high-quality land cover time-series data to explore the urban growth process in the core area, and in several buffer zones, of Beijing, Guangzhou, Shanghai, and Tokyo. We developed a conceptual model in which growth is characterized at the per-object level by four active growth events: introduction, establishment, dispersal, and coalescence, with a fifth inactivity event, stability. We developed a rule-base which allowed the direct measurement of establishment, dispersal and coalescence from observed inter-annual changes in the urban objects over time. By aggregating the object-level events to the landscape level we showed that these three events generally followed a synchronous temporal trend in terms of magnitude within the core area and within each buffer zone. There was no evidence for a logical sequence of events through time. The identified events dominated alternately over time, although synchronicity in magnitude far outweighed any differences in proportion between them. This points to a single underlying urbanization process: urban growth with a specific dynamic rate. Interestingly, synchronicity was not generally observed between the core and buffer zones. This proposed object-based method provides insights into the underlying urban growth process and could be used to build new urban growth models.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过单个城市对象的变化对特大城市进行地理分析
本研究利用覆盖全球的高质量年度土地覆被时间序列数据,探讨了北京、广州、上海和东京核心区及若干缓冲区的城市增长过程。我们建立了一个概念模型,在该模型中,每个对象的增长都具有四个活跃增长事件的特征:引入、建立、分散和聚合,以及第五个非活跃事件--稳定。我们开发了一个规则库,可以根据观测到的城市物体随时间发生的年际变化,直接测量建立、分散和凝聚。通过将对象层面的事件汇总到景观层面,我们发现这三个事件在核心区和每个缓冲区内的规模一般遵循同步的时间趋势。没有证据表明事件在时间上存在逻辑顺序。已确定的事件随着时间的推移交替占主导地位,尽管在规模上的同步性远远大于它们之间在比例上的差异。这表明了一个单一的基本城市化过程:具有特定动态速率的城市增长。有趣的是,在核心区和缓冲区之间一般观察不到同步性。这种基于对象的方法有助于深入了解城市增长的基本过程,并可用于建立新的城市增长模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
8.70
自引率
5.60%
发文量
40
期刊介绍: First in its specialty area and one of the most frequently cited publications in geography, Geographical Analysis has, since 1969, presented significant advances in geographical theory, model building, and quantitative methods to geographers and scholars in a wide spectrum of related fields. Traditionally, mathematical and nonmathematical articulations of geographical theory, and statements and discussions of the analytic paradigm are published in the journal. Spatial data analyses and spatial econometrics and statistics are strongly represented.
期刊最新文献
Issue Information Impacts of improved transport on regional market access Testing Hypotheses When You Have More Than a Few* Beyond Auto‐Models: Self‐Correlated Sui‐Model Respecifications Issue Information
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1