Xi Wang , Liang Zhou , David López-Carr , Yongze Song , Hong Gao , Tao Che , Zhifeng Liu , Wei Wei
{"title":"城市灰绿尺度:动态空间权衡评估的新视角","authors":"Xi Wang , Liang Zhou , David López-Carr , Yongze Song , Hong Gao , Tao Che , Zhifeng Liu , Wei Wei","doi":"10.1016/j.jag.2025.104708","DOIUrl":null,"url":null,"abstract":"<div><div>Urbanization has shaped a dynamic relationship between urban grey and green spaces, and this relationship will profoundly affect the stability and sustainability of the urban system. However, few studies have focused on the complex dynamics, spatial patterns, and dominant factors of the coordination between urban grey and green spaces. Therefore, this study develops a grey-green space trade-offs indicator (GGSCI) to assess the dynamic relationship between vegetated and non-vegetated areas during the growth of urban built-up areas. The GGSCI is implemented to evaluate the long-term dynamics of urban growth across 121 cities in the arid zone of northern China (ANC) from 1990 to 2020. We use Mean-Kendall trend analysis methods to capture the typical features of urban greening, and an interpretable machine learning model is combined to reveal the relative contributions of socioeconomic and natural environment indicators to the GGSCI. The results indicate that: the built-up area of ANC has expanded by 5.72 times from 1990 to 2020. Total grey space growth is 2.12 times that of green space. In addition, the relationship between grey and green spaces in ANC is moving from imbalance to balance, with the percentage of cities in imbalance dropping from a maximum of 23.28 % to 0 %. The trend of greening in urban centers is remarkable. We also reveal that socioeconomic and natural environment alternated as the dominant factors influencing changes in the GGSCI at different stages of urbanization, with AAP and NL contributing the most at 22.24 % and 20.21 %, respectively.</div></div>","PeriodicalId":73423,"journal":{"name":"International journal of applied earth observation and geoinformation : ITC journal","volume":"142 ","pages":"Article 104708"},"PeriodicalIF":7.6000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Urban grey-green scales: A new perspective for assessing dynamic spatial trade-offs\",\"authors\":\"Xi Wang , Liang Zhou , David López-Carr , Yongze Song , Hong Gao , Tao Che , Zhifeng Liu , Wei Wei\",\"doi\":\"10.1016/j.jag.2025.104708\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Urbanization has shaped a dynamic relationship between urban grey and green spaces, and this relationship will profoundly affect the stability and sustainability of the urban system. However, few studies have focused on the complex dynamics, spatial patterns, and dominant factors of the coordination between urban grey and green spaces. Therefore, this study develops a grey-green space trade-offs indicator (GGSCI) to assess the dynamic relationship between vegetated and non-vegetated areas during the growth of urban built-up areas. The GGSCI is implemented to evaluate the long-term dynamics of urban growth across 121 cities in the arid zone of northern China (ANC) from 1990 to 2020. We use Mean-Kendall trend analysis methods to capture the typical features of urban greening, and an interpretable machine learning model is combined to reveal the relative contributions of socioeconomic and natural environment indicators to the GGSCI. The results indicate that: the built-up area of ANC has expanded by 5.72 times from 1990 to 2020. Total grey space growth is 2.12 times that of green space. In addition, the relationship between grey and green spaces in ANC is moving from imbalance to balance, with the percentage of cities in imbalance dropping from a maximum of 23.28 % to 0 %. The trend of greening in urban centers is remarkable. We also reveal that socioeconomic and natural environment alternated as the dominant factors influencing changes in the GGSCI at different stages of urbanization, with AAP and NL contributing the most at 22.24 % and 20.21 %, respectively.</div></div>\",\"PeriodicalId\":73423,\"journal\":{\"name\":\"International journal of applied earth observation and geoinformation : ITC journal\",\"volume\":\"142 \",\"pages\":\"Article 104708\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2025-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of applied earth observation and geoinformation : ITC journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1569843225003553\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"REMOTE SENSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of applied earth observation and geoinformation : ITC journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1569843225003553","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REMOTE SENSING","Score":null,"Total":0}
Urban grey-green scales: A new perspective for assessing dynamic spatial trade-offs
Urbanization has shaped a dynamic relationship between urban grey and green spaces, and this relationship will profoundly affect the stability and sustainability of the urban system. However, few studies have focused on the complex dynamics, spatial patterns, and dominant factors of the coordination between urban grey and green spaces. Therefore, this study develops a grey-green space trade-offs indicator (GGSCI) to assess the dynamic relationship between vegetated and non-vegetated areas during the growth of urban built-up areas. The GGSCI is implemented to evaluate the long-term dynamics of urban growth across 121 cities in the arid zone of northern China (ANC) from 1990 to 2020. We use Mean-Kendall trend analysis methods to capture the typical features of urban greening, and an interpretable machine learning model is combined to reveal the relative contributions of socioeconomic and natural environment indicators to the GGSCI. The results indicate that: the built-up area of ANC has expanded by 5.72 times from 1990 to 2020. Total grey space growth is 2.12 times that of green space. In addition, the relationship between grey and green spaces in ANC is moving from imbalance to balance, with the percentage of cities in imbalance dropping from a maximum of 23.28 % to 0 %. The trend of greening in urban centers is remarkable. We also reveal that socioeconomic and natural environment alternated as the dominant factors influencing changes in the GGSCI at different stages of urbanization, with AAP and NL contributing the most at 22.24 % and 20.21 %, respectively.
期刊介绍:
The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.