{"title":"使用关键区域检测方法合理布置绿色基础设施的城市规划","authors":"Herath Mudiyanselage Malhamige Sonali Dinesha Herath, Takeshi Fujino, Mudalige Don Hiranya Jayasank Senavirathna","doi":"10.3390/geomatics4030014","DOIUrl":null,"url":null,"abstract":"In an era of intense urban development and climate extremes, green infrastructure (GI) has become crucial for creating sustainable, livable, and resilient cities. However, the efficacy of GI is frequently undermined by haphazard implementation and resource misallocation that disregards appropriate spatial scales. This study develops a geographic information system (GIS)-based critical area detection model (CADM) to identify priority areas for the strategic placement of GI, incorporating four main indices—spatial form, green cover, gray cover, and land use change—and utilizing the digital elevation model (DEM), normalized difference vegetation index (NDVI), urban density index (UDI), and up-to-date land use data. By employing the developed method, the study successfully locates priority zones for GI implementation in Saitama City, Japan, effectively pinpointing areas that require immediate attention. This approach not only guarantees efficient resource allocation and maximizes the multifunctional benefits of GI but also highlights the importance of a flexible, all-encompassing GI network to address urbanization and environmental challenges. The findings offer policymakers a powerful tool with which to optimize GI placement, enhancing urban resilience and supporting sustainable development.","PeriodicalId":507594,"journal":{"name":"Geomatics","volume":" 46","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Urban Planning with Rational Green Infrastructure Placement Using a Critical Area Detection Method\",\"authors\":\"Herath Mudiyanselage Malhamige Sonali Dinesha Herath, Takeshi Fujino, Mudalige Don Hiranya Jayasank Senavirathna\",\"doi\":\"10.3390/geomatics4030014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In an era of intense urban development and climate extremes, green infrastructure (GI) has become crucial for creating sustainable, livable, and resilient cities. However, the efficacy of GI is frequently undermined by haphazard implementation and resource misallocation that disregards appropriate spatial scales. This study develops a geographic information system (GIS)-based critical area detection model (CADM) to identify priority areas for the strategic placement of GI, incorporating four main indices—spatial form, green cover, gray cover, and land use change—and utilizing the digital elevation model (DEM), normalized difference vegetation index (NDVI), urban density index (UDI), and up-to-date land use data. By employing the developed method, the study successfully locates priority zones for GI implementation in Saitama City, Japan, effectively pinpointing areas that require immediate attention. This approach not only guarantees efficient resource allocation and maximizes the multifunctional benefits of GI but also highlights the importance of a flexible, all-encompassing GI network to address urbanization and environmental challenges. The findings offer policymakers a powerful tool with which to optimize GI placement, enhancing urban resilience and supporting sustainable development.\",\"PeriodicalId\":507594,\"journal\":{\"name\":\"Geomatics\",\"volume\":\" 46\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geomatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/geomatics4030014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geomatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/geomatics4030014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
在城市激烈发展和气候极端化的时代,绿色基础设施(GI)已成为创建可持续、宜居和有弹性城市的关键。然而,由于实施杂乱无章,资源分配不当,忽视了适当的空间尺度,绿色基础设施的功效经常受到削弱。本研究利用数字高程模型(DEM)、归一化差异植被指数(NDVI)、城市密度指数(UDI)和最新的土地利用数据,开发了一种基于地理信息系统(GIS)的关键区域检测模型(CADM),以确定地理信息系统战略布局的优先区域。通过采用所开发的方法,该研究成功地确定了日本埼玉市实施地理信息系统的优先区域,有效地确定了需要立即关注的区域。这种方法不仅保证了资源的有效分配,最大限度地发挥了 GI 的多功能效益,而且突出了灵活、全方位的 GI 网络对于应对城市化和环境挑战的重要性。研究结果为政策制定者提供了一个强大的工具,可用于优化 GI 布局,增强城市复原力,支持可持续发展。
Urban Planning with Rational Green Infrastructure Placement Using a Critical Area Detection Method
In an era of intense urban development and climate extremes, green infrastructure (GI) has become crucial for creating sustainable, livable, and resilient cities. However, the efficacy of GI is frequently undermined by haphazard implementation and resource misallocation that disregards appropriate spatial scales. This study develops a geographic information system (GIS)-based critical area detection model (CADM) to identify priority areas for the strategic placement of GI, incorporating four main indices—spatial form, green cover, gray cover, and land use change—and utilizing the digital elevation model (DEM), normalized difference vegetation index (NDVI), urban density index (UDI), and up-to-date land use data. By employing the developed method, the study successfully locates priority zones for GI implementation in Saitama City, Japan, effectively pinpointing areas that require immediate attention. This approach not only guarantees efficient resource allocation and maximizes the multifunctional benefits of GI but also highlights the importance of a flexible, all-encompassing GI network to address urbanization and environmental challenges. The findings offer policymakers a powerful tool with which to optimize GI placement, enhancing urban resilience and supporting sustainable development.