Assessment of green sustainable development in plateau lakeside cities

Changqing Peng, Kun Yang, Tingfang Jia, Chunxue Shang, Anling Li, Xingfang Pei, Qingqing Wang, Rixiang Chen, Dingpu Li, Yi Luo
{"title":"Assessment of green sustainable development in plateau lakeside cities","authors":"Changqing Peng, Kun Yang, Tingfang Jia, Chunxue Shang, Anling Li, Xingfang Pei, Qingqing Wang, Rixiang Chen, Dingpu Li, Yi Luo","doi":"10.3389/fevo.2024.1407350","DOIUrl":null,"url":null,"abstract":"Green sustainable development is an important part of the United Nations Sustainable Development Goals (SDGs) and China’s ecological civilization construction.This paper combines the characteristics of the development of lakeside cities, gives full play to the advantages of modern remote sensing technology to collect the indicators related to the green sustainable development of lakeside cities, adopts the Analytic Hierarchy Process (AHP) and the CRiteria Importance Through Inter-criteria Correlation (CRITIC) subjective and objective weighting methods and the difference coefficient method to determine the weights of the indicators, evaluates the green sustainable development of a typical lakeside city of Kunming for more than 30 years, and analyzes the influencing factors using the gray degree of correlation.The results show the following: (1) From 1990 to 2021, the level of green sustainable development in the urban area around Dianchi Lake fluctuated in stages, with an overall upward trend, and the green development index increased from 0.25 in 1990 to 0.5 in 2021. (2) The coefficient of variance determined by the optimization model can be a better compromise between the objective and subjective weights of the indicators, and the massive occupation of wetlands and arable land around the lake in the urban expansion has become a major factor in the development of the city, with a combined weight of 10.30% and 8.79%, respectively. (3) The urban population and economic scale are currently the main drivers of the green and sustainable development of a lakeside city, with a correlation of 0.843 and 0.769, respectively.The growth of urban population and economic scale plays a pivotal role in driving the green and sustainable development of lakeside cities, while the potential impact of tourism development should also be considered.","PeriodicalId":507587,"journal":{"name":"Frontiers in Ecology and Evolution","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Ecology and Evolution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fevo.2024.1407350","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

Green sustainable development is an important part of the United Nations Sustainable Development Goals (SDGs) and China’s ecological civilization construction.This paper combines the characteristics of the development of lakeside cities, gives full play to the advantages of modern remote sensing technology to collect the indicators related to the green sustainable development of lakeside cities, adopts the Analytic Hierarchy Process (AHP) and the CRiteria Importance Through Inter-criteria Correlation (CRITIC) subjective and objective weighting methods and the difference coefficient method to determine the weights of the indicators, evaluates the green sustainable development of a typical lakeside city of Kunming for more than 30 years, and analyzes the influencing factors using the gray degree of correlation.The results show the following: (1) From 1990 to 2021, the level of green sustainable development in the urban area around Dianchi Lake fluctuated in stages, with an overall upward trend, and the green development index increased from 0.25 in 1990 to 0.5 in 2021. (2) The coefficient of variance determined by the optimization model can be a better compromise between the objective and subjective weights of the indicators, and the massive occupation of wetlands and arable land around the lake in the urban expansion has become a major factor in the development of the city, with a combined weight of 10.30% and 8.79%, respectively. (3) The urban population and economic scale are currently the main drivers of the green and sustainable development of a lakeside city, with a correlation of 0.843 and 0.769, respectively.The growth of urban population and economic scale plays a pivotal role in driving the green and sustainable development of lakeside cities, while the potential impact of tourism development should also be considered.
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
高原湖滨城市绿色可持续发展评估
绿色可持续发展是联合国可持续发展目标(SDGs)和我国生态文明建设的重要内容。本文结合滨湖城市的发展特点,充分发挥现代遥感技术的优势,对滨湖城市绿色可持续发展相关指标进行采集、采用层次分析法(AHP)和标准间相关性分析法(CRITIC)的主客观权重法和差异系数法确定指标权重,对昆明典型湖滨城市 30 多年的绿色可持续发展进行评价,并利用灰色关联度对影响因素进行分析。结果显示如下(1)1990-2021年,环滇池城市地区绿色可持续发展水平呈阶段性波动,总体呈上升趋势,绿色发展指数从1990年的0.25上升到2021年的0.5。(2)优化模型确定的方差系数能够较好地折中指标的主客观权重,城市扩张中大量占用环湖湿地和耕地成为影响城市发展的主要因素,综合权重分别为10.30%和8.79%。(3)城市人口和经济规模是当前湖滨城市绿色可持续发展的主要驱动力,相关系数分别为 0.843 和 0.769。城市人口和经济规模的增长对湖滨城市绿色可持续发展起着举足轻重的推动作用,同时也应考虑旅游业发展的潜在影响。
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
Commentary: No evidence for language syntax in songbird vocalizations Human aeroecology New record in Uruguay of the marsh deer (Blastocerus dichotomus Illiger, 1815) redefines its southern geographic distribution area Editorial: Trends toward naturalistic, field assays with free-ranging animals as contemporary alternatives to laboratory models Assessment of green sustainable development in plateau lakeside cities
×
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