Inferring ghost cities on the globe in newly developed urban areas based on urban vitality with multi-source data

Yecheng Zhang, Tangqi Tu, Ying long
{"title":"Inferring ghost cities on the globe in newly developed urban areas based on urban vitality with multi-source data","authors":"Yecheng Zhang, Tangqi Tu, Ying long","doi":"arxiv-2408.15117","DOIUrl":null,"url":null,"abstract":"Due to rapid urbanization over the past 20 years, many newly developed areas\nhave lagged in socio-economic maturity, creating an imbalance with older cities\nand leading to the rise of \"ghost cities.\" However, due to the complexity of\nsocio-economic factors, no global studies have measured this phenomenon. We\npropose a unified framework based on urban vitality theory and multi-source\ndata, validated by various data sources. We derived 8841 natural cities\nglobally with an area over 5 square kiloxmeters and divided each into new urban\nareas (developed after 2005) and old urban areas (developed before 2005). Urban\nvitality was gauged using the density of road networks, points of interest\n(POIs), and population density with 1 km resolution across morphological,\nfunctional, and social dimensions. By comparing urban vitality in new and old\nurban areas, we quantify the ghost cities index (GCI) globally using the theory\nof urban vitality for the first time. The results reveal that the vitality of\nnew urban areas is 7.69% that of old ones. The top 5% (442) of cities were\ndesignated as ghost cities, a finding mirrored by news media and other\nresearch. This study sheds light on strategies for sustainable global\nurbanization, crucial for the United Nations' Sustainable Development Goals.","PeriodicalId":501172,"journal":{"name":"arXiv - STAT - Applications","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - STAT - Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.15117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Due to rapid urbanization over the past 20 years, many newly developed areas have lagged in socio-economic maturity, creating an imbalance with older cities and leading to the rise of "ghost cities." However, due to the complexity of socio-economic factors, no global studies have measured this phenomenon. We propose a unified framework based on urban vitality theory and multi-source data, validated by various data sources. We derived 8841 natural cities globally with an area over 5 square kiloxmeters and divided each into new urban areas (developed after 2005) and old urban areas (developed before 2005). Urban vitality was gauged using the density of road networks, points of interest (POIs), and population density with 1 km resolution across morphological, functional, and social dimensions. By comparing urban vitality in new and old urban areas, we quantify the ghost cities index (GCI) globally using the theory of urban vitality for the first time. The results reveal that the vitality of new urban areas is 7.69% that of old ones. The top 5% (442) of cities were designated as ghost cities, a finding mirrored by news media and other research. This study sheds light on strategies for sustainable global urbanization, crucial for the United Nations' Sustainable Development Goals.
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
利用多源数据,根据城市活力推断全球新开发城市地区的鬼城
由于过去 20 年的快速城市化,许多新开发地区的社会经济成熟度滞后,造成了与老城 市的不平衡,导致了 "鬼城 "的兴起。然而,由于社会经济因素的复杂性,目前还没有全球性的研究对这一现象进行测量。我们提出了一个基于城市活力理论和多源数据的统一框架,并通过各种数据来源进行了验证。我们得出了全球 8841 个面积超过 5 平方公里的自然城市,并将每个城市分为新城区(2005 年后开发)和老城区(2005 年前开发)。城市活力通过道路网密度、兴趣点(POIs)和人口密度来衡量,分辨率为 1 千米,涉及形态、功能和社会维度。通过比较新老城区的城市活力,我们首次利用城市活力理论在全球范围内量化了鬼城指数(GCI)。结果显示,新城区的活力是老城区的 7.69%。排名前 5%的城市(442 个)被认定为鬼城,这一结果与新闻媒体和其他研究结果如出一辙。这项研究为可持续的全球城市化战略提供了启示,对联合国可持续发展目标至关重要。
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
自引率
0.00%
发文量
0
期刊最新文献
Bayesian estimation of the number of significant principal components for cultural data Optimal Visual Search with Highly Heuristic Decision Rules Who's the GOAT? Sports Rankings and Data-Driven Random Walks on the Symmetric Group Conformity assessment of processes and lots in the framework of JCGM 106:2012 Equity considerations in COVID-19 vaccine allocation modelling: a literature review
×
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:604180095
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