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Linking perceptions of ecological restoration projects’ impacts on ecosystem services and human well-being for achieving regional sustainability
IF 4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-03-06 DOI: 10.1016/j.apgeog.2025.103570
Pei Xia , Huining Zheng , Tao Hu , Zihan Xu , Jian Peng
Understanding how stakeholders’ perceptions of ecosystem service (ES) and human well-being (HWB) impacted by ecological restoration projects (ERPs) is crucial for achieving the Sustainable Development Goals. Howerver, few studies have explored how these impacts are perceived by stakeholders, particularly in terms of the link between ES and HWB from a human perception perspective. This study surveyed 203 residents of Dongting Lake area using a questionnaire that assessed 18 ESs and 9 HWBs to explore how personal characteristics influence perceptions of ERP impacts. It was found that the perception scores of 18 ES and 9 HWB were not less than 0, indicating that local respondents strongly recognized the positive role of ERPs in enhancing ESs and HWBs. Perception scores were negatively correlated with age but positively associated with education level and positive ERP impacts on individuals, while income level had no significant effect. Analysis of 18 ESs and 9 HWBs perceptions showed that 83.95% of relationships were significantly correlated, suggesting a comprehensive link between ESs and HWBs at the perceptual perspective. Future ERP policies should prioritize enhancing stakeholders’ perceived benefits of ERP impacts on both ESs and HWBs. This study highlighted the importance of linking perceptions of ERP impacts on ESs and HWBs to support stakeholders’ livelihoods and foster reginal sustainability.
{"title":"Linking perceptions of ecological restoration projects’ impacts on ecosystem services and human well-being for achieving regional sustainability","authors":"Pei Xia ,&nbsp;Huining Zheng ,&nbsp;Tao Hu ,&nbsp;Zihan Xu ,&nbsp;Jian Peng","doi":"10.1016/j.apgeog.2025.103570","DOIUrl":"10.1016/j.apgeog.2025.103570","url":null,"abstract":"<div><div>Understanding how stakeholders’ perceptions of ecosystem service (ES) and human well-being (HWB) impacted by ecological restoration projects (ERPs) is crucial for achieving the Sustainable Development Goals. Howerver, few studies have explored how these impacts are perceived by stakeholders, particularly in terms of the link between ES and HWB from a human perception perspective. This study surveyed 203 residents of Dongting Lake area using a questionnaire that assessed 18 ESs and 9 HWBs to explore how personal characteristics influence perceptions of ERP impacts. It was found that the perception scores of 18 ES and 9 HWB were not less than 0, indicating that local respondents strongly recognized the positive role of ERPs in enhancing ESs and HWBs. Perception scores were negatively correlated with age but positively associated with education level and positive ERP impacts on individuals, while income level had no significant effect. Analysis of 18 ESs and 9 HWBs perceptions showed that 83.95% of relationships were significantly correlated, suggesting a comprehensive link between ESs and HWBs at the perceptual perspective. Future ERP policies should prioritize enhancing stakeholders’ perceived benefits of ERP impacts on both ESs and HWBs. This study highlighted the importance of linking perceptions of ERP impacts on ESs and HWBs to support stakeholders’ livelihoods and foster reginal sustainability.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103570"},"PeriodicalIF":4.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Resilience reemerged in sustainable development goals: A perspective on easing COVID-19 restrictions in China
IF 4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-03-04 DOI: 10.1016/j.apgeog.2025.103573
Zizhao Ni , Wenwu Zhao , Jinyu Wang , Paulo Pereira
In the post-pandemic era, sustainable development goals (SDGs) have evolved into resilient and adaptive systems, responding dynamically to the impacts of the pandemic and its associated restrictions. This study assessed SDG performance in China using a framework based on 13 pandemic-related goals and 47 indicators. Data were collected from 1027 participants across 220 cities and 30 provinces during three stages, defined by key policy changes. Results show that SDG 3 and 16 were most impacted at the outset and SDG 16 recovered significantly after the infection wave subsided. 32 indicators improved after initial declines, and 81.82% of trade-off indicator pairs during the first infection wave—primarily between economic development SDGs (i.e. SDG 1, 8, 11) and government policy SDGs (i.e. SDG 3, 4, 16)—transitioned to synergies. This suggests a reemergence of SDG resilience after the initial pandemic impact. Regions with lower economic development exhibit greater vulnerability in SDG performance. Women, low-income individuals, and residents of medium-to small-sized cities tend to show lower SDG performance. The study also highlights a shift in public focus from immediate physiological needs to self-development needs. This shift underscores the importance of adaptive strategies in achieving SDGs in the face of abrupt policy changes.
{"title":"Resilience reemerged in sustainable development goals: A perspective on easing COVID-19 restrictions in China","authors":"Zizhao Ni ,&nbsp;Wenwu Zhao ,&nbsp;Jinyu Wang ,&nbsp;Paulo Pereira","doi":"10.1016/j.apgeog.2025.103573","DOIUrl":"10.1016/j.apgeog.2025.103573","url":null,"abstract":"<div><div>In the post-pandemic era, sustainable development goals (SDGs) have evolved into resilient and adaptive systems, responding dynamically to the impacts of the pandemic and its associated restrictions. This study assessed SDG performance in China using a framework based on 13 pandemic-related goals and 47 indicators. Data were collected from 1027 participants across 220 cities and 30 provinces during three stages, defined by key policy changes. Results show that SDG 3 and 16 were most impacted at the outset and SDG 16 recovered significantly after the infection wave subsided. 32 indicators improved after initial declines, and 81.82% of trade-off indicator pairs during the first infection wave—primarily between economic development SDGs (i.e. SDG 1, 8, 11) and government policy SDGs (i.e. SDG 3, 4, 16)—transitioned to synergies. This suggests a reemergence of SDG resilience after the initial pandemic impact. Regions with lower economic development exhibit greater vulnerability in SDG performance. Women, low-income individuals, and residents of medium-to small-sized cities tend to show lower SDG performance. The study also highlights a shift in public focus from immediate physiological needs to self-development needs. This shift underscores the importance of adaptive strategies in achieving SDGs in the face of abrupt policy changes.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103573"},"PeriodicalIF":4.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparing methods for measuring park access and equity using US census microdata in metropolitan Miami
IF 4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-03-04 DOI: 10.1016/j.apgeog.2025.103579
Timothy W. Collins , Marco Lorenzo Allain , Sara E. Grineski , Alessandro Rigolon
Knowledge from prior park equity studies has been limited by differences in the spatial analytic techniques applied to measure park accessibility, a lack of systematic methods comparisons, and overreliance on aggregated spatial data. Our study addresses these issues using individual-level, restricted-access US Census American Community Survey microdata (n = 339,000) from 2015 to 2019 to compare (a) alternative techniques for measuring access to park space and (b) how those measurement techniques affect inferences regarding patterns of inequity. It applies spatial analytic techniques to generate four park area per capita measures—one gold standard measure at the census block level and three widely-used measures at the census tract level in metropolitan Miami, USA—and compares the four methods using multiple analyses. The four methods generate somewhat dissimilar park accessibility values for individual residents. Bivariate analyses indicate that racially/ethnically minoritized or lower socioeconomic status people have less park accessibility than people from more advantaged groups, no matter the measure used. Multivariable models for each park accessibility measure yield largely dissimilar results regarding associations with social indicators, with consistent results for only two social indicators: Hispanic/Latino and older (>64 years) people have less park area per capita relative to non-Hispanic White and middle-aged (18–64 years) people, respectively. Findings suggest that advanced, fine-scale spatial analytic techniques should be applied to accurately characterize park accessibility for academic research and decision-making about parks. Findings also highlight the need to increase park space access for marginalized groups in metropolitan Miami.
{"title":"Comparing methods for measuring park access and equity using US census microdata in metropolitan Miami","authors":"Timothy W. Collins ,&nbsp;Marco Lorenzo Allain ,&nbsp;Sara E. Grineski ,&nbsp;Alessandro Rigolon","doi":"10.1016/j.apgeog.2025.103579","DOIUrl":"10.1016/j.apgeog.2025.103579","url":null,"abstract":"<div><div>Knowledge from prior park equity studies has been limited by differences in the spatial analytic techniques applied to measure park accessibility, a lack of systematic methods comparisons, and overreliance on aggregated spatial data. Our study addresses these issues using individual-level, restricted-access US Census American Community Survey microdata (<em>n</em> = 339,000) from 2015 to 2019 to compare (a) alternative techniques for measuring access to park space and (b) how those measurement techniques affect inferences regarding patterns of inequity. It applies spatial analytic techniques to generate four park area per capita measures—one gold standard measure at the census block level and three widely-used measures at the census tract level in metropolitan Miami, USA—and compares the four methods using multiple analyses. The four methods generate somewhat dissimilar park accessibility values for individual residents. Bivariate analyses indicate that racially/ethnically minoritized or lower socioeconomic status people have less park accessibility than people from more advantaged groups, no matter the measure used. Multivariable models for each park accessibility measure yield largely dissimilar results regarding associations with social indicators, with consistent results for only two social indicators: Hispanic/Latino and older (&gt;64 years) people have less park area per capita relative to non-Hispanic White and middle-aged (18–64 years) people, respectively. Findings suggest that advanced, fine-scale spatial analytic techniques should be applied to accurately characterize park accessibility for academic research and decision-making about parks. Findings also highlight the need to increase park space access for marginalized groups in metropolitan Miami.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103579"},"PeriodicalIF":4.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Identifying concentrations of overlapping environmental & economic insecurity in Los Angeles County
IF 4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-03-01 DOI: 10.1016/j.apgeog.2025.103575
Bita Minaravesh
Los Angeles has had a tumultuous history with environmental and social justice across the county. Previous studies have explored the distribution of various intersections of ecological, racial, ethnic, and economic equity but have not examined the concentrations of overlapping extreme disadvantages. Through transforming the Index of Concentration at the Extremes (ICE) to model park land coverage alongside the income indicators, the findings reveal areas burdened with extreme concentrations of both environmental and economic disparities. The results showcase the inequitable spatial and racial-ethnic distribution of burden, with historically underserved Latino and Black communities living towards the urban center of Los Angeles experiencing the most challenging conditions. By identifying areas with limited community and personal resources, this environmentally-led model of equity creates an adaptable avenue to direct public funds intended to introduce spatial justice.
{"title":"Identifying concentrations of overlapping environmental & economic insecurity in Los Angeles County","authors":"Bita Minaravesh","doi":"10.1016/j.apgeog.2025.103575","DOIUrl":"10.1016/j.apgeog.2025.103575","url":null,"abstract":"<div><div>Los Angeles has had a tumultuous history with environmental and social justice across the county. Previous studies have explored the distribution of various intersections of ecological, racial, ethnic, and economic equity but have not examined the concentrations of overlapping extreme disadvantages. Through transforming the Index of Concentration at the Extremes (ICE) to model park land coverage alongside the income indicators, the findings reveal areas burdened with extreme concentrations of both environmental and economic disparities. The results showcase the inequitable spatial and racial-ethnic distribution of burden, with historically underserved Latino and Black communities living towards the urban center of Los Angeles experiencing the most challenging conditions. By identifying areas with limited community and personal resources, this environmentally-led model of equity creates an adaptable avenue to direct public funds intended to introduce spatial justice.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103575"},"PeriodicalIF":4.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Internal migration responses to housing dynamics before and after COVID-19 in Australia
IF 4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-03-01 DOI: 10.1016/j.apgeog.2025.103548
Charles Siriban , Aude Bernard , Dorina Pojani , Tom Wilson
Housing costs are a well-established constraint to internal migration. Rising costs typically reduce inflows while increasing outflows, particularly in large cities. Given the current housing affordability crisis in many countries, we extend evidence on the links between housing market dynamics and internal migration in three principal ways. First, we consider not only housing costs but also supply and distinguish between standalone and attached dwellings to provide more granular evidence. Second, we contribute a case study of Australia, where evidence is critically lacking despite remarkable housing price increases and wide regional price disparities. Third, we assess potential changes since COVID-19. To these ends, we estimate a Poisson pseudo-maximum likelihood regression with origin, destination, and year fixed effects on annual bilateral migration flows between capital cities and non-metropolitan regions from 2012 to 2023. We find that internal migrants respond to both origin and destination housing prices. Specifically, a 10 per cent increase in average prices at origin results in an 8.07 per cent increase in outflows, while a similar increase in destination prices reduces inflows by 3.96 per cent. Interregional flows also respond to an increase in housing supply at origin, albeit less so than an increase in housing price. The association between housing market dynamics and migration was greater at origin than destination before the pandemic. However, since COVID-19, migration flows have become more responsive to housing price at destination, particularly in the detached housing market. These results highlight the growing role of housing market dynamics in shaping internal migration flows.
{"title":"Internal migration responses to housing dynamics before and after COVID-19 in Australia","authors":"Charles Siriban ,&nbsp;Aude Bernard ,&nbsp;Dorina Pojani ,&nbsp;Tom Wilson","doi":"10.1016/j.apgeog.2025.103548","DOIUrl":"10.1016/j.apgeog.2025.103548","url":null,"abstract":"<div><div>Housing costs are a well-established constraint to internal migration. Rising costs typically reduce inflows while increasing outflows, particularly in large cities. Given the current housing affordability crisis in many countries, we extend evidence on the links between housing market dynamics and internal migration in three principal ways. First, we consider not only housing costs but also supply and distinguish between standalone and attached dwellings to provide more granular evidence. Second, we contribute a case study of Australia, where evidence is critically lacking despite remarkable housing price increases and wide regional price disparities. Third, we assess potential changes since COVID-19. To these ends, we estimate a Poisson pseudo-maximum likelihood regression with origin, destination, and year fixed effects on annual bilateral migration flows between capital cities and non-metropolitan regions from 2012 to 2023. We find that internal migrants respond to both origin and destination housing prices. Specifically, a 10 per cent increase in average prices at origin results in an 8.07 per cent increase in outflows, while a similar increase in destination prices reduces inflows by 3.96 per cent. Interregional flows also respond to an increase in housing supply at origin, albeit less so than an increase in housing price. The association between housing market dynamics and migration was greater at origin than destination before the pandemic. However, since COVID-19, migration flows have become more responsive to housing price at destination, particularly in the detached housing market. These results highlight the growing role of housing market dynamics in shaping internal migration flows.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103548"},"PeriodicalIF":4.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Emerging amenity migration in China: The spatially heterogeneous process
IF 4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-03-01 DOI: 10.1016/j.apgeog.2025.103577
Jiajie Liu , Tao Liu , Guangzhong Cao
Amenity plays a crucial role in determining migration patterns but varies with development stages and different regions. While amenity migration, namely migration dominated by amenity factors, has been widely identified in developed countries with numerous case studies, the question of the extent to which amenity shapes migration patterns in developing countries, especially concerning the spatiotemporal heterogeneity, is less well answered. To address this gap, the paper takes China as a case to examine spatiotemporally varying roles of amenities in affecting migration patterns. The results of panel model and cross-sectional regressions showed increasing effects of amenities with upgrading development stages, while the effects of economic opportunities are weakened, indicating an emerging trend of amenity migration. The results of the multiscale geographically weighted regression model further confirmed the varying effects of various amenities in different regions. The specific roles of amenities depend on the local context. In addition, migration patterns are influenced by different dominant factors in different places. While the impact of economic opportunities on migration is important in less economically developed regions, the impact of place-specific amenity is even more important in economically developed regions. Finally, migration transition arising from changes in migration dynamics and its spatially heterogeneous processes were discussed.
{"title":"Emerging amenity migration in China: The spatially heterogeneous process","authors":"Jiajie Liu ,&nbsp;Tao Liu ,&nbsp;Guangzhong Cao","doi":"10.1016/j.apgeog.2025.103577","DOIUrl":"10.1016/j.apgeog.2025.103577","url":null,"abstract":"<div><div>Amenity plays a crucial role in determining migration patterns but varies with development stages and different regions. While amenity migration, namely migration dominated by amenity factors, has been widely identified in developed countries with numerous case studies, the question of the extent to which amenity shapes migration patterns in developing countries, especially concerning the spatiotemporal heterogeneity, is less well answered. To address this gap, the paper takes China as a case to examine spatiotemporally varying roles of amenities in affecting migration patterns. The results of panel model and cross-sectional regressions showed increasing effects of amenities with upgrading development stages, while the effects of economic opportunities are weakened, indicating an emerging trend of amenity migration. The results of the multiscale geographically weighted regression model further confirmed the varying effects of various amenities in different regions. The specific roles of amenities depend on the local context. In addition, migration patterns are influenced by different dominant factors in different places. While the impact of economic opportunities on migration is important in less economically developed regions, the impact of place-specific amenity is even more important in economically developed regions. Finally, migration transition arising from changes in migration dynamics and its spatially heterogeneous processes were discussed.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103577"},"PeriodicalIF":4.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
National shared responsibility mechanism for carbon reduction: Addressing resource imbalances from interprovincial flows of virtual water-energy-carbon
IF 4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-02-27 DOI: 10.1016/j.apgeog.2025.103576
Xuezhen Ren, Tianhua Ni
Commodity trade influences the spatial distribution and interrelationships of virtual water‒energy‒carbon (WEC) systems, thereby affecting regional resource balance and equity in carbon emissions reductions. A triangular framework was established to evaluate the spatial flow and disparities of virtual WEC across 30 provinces in China. Significant differences were identified between the production and consumption sectors, highlighting a strong connection between energy and carbon, as well as a trade-off with water. Approximately 63% of the provinces demonstrated a moderate degree of coordination within the virtual WEC system, which was found to negatively correlate with their levels of social and economic development. The transfer of virtual WEC was observed from the less developed western and northern regions to the economically advanced southeastern coastal areas, exacerbating disparities in resource distribution and carbon emissions. Therefore, a joint shared responsibility mechanism for carbon reduction is proposed, utilizing the water fairness coefficient to assess inequities in responsibility arising from the spatial flow of virtual WEC. Nationally, it is recommended to intensify efforts in coordinating WEC management and implement a carbon compensation strategy for regions with disproportionate burdens. Provincially, optimizing and adjusting industrial structures is crucial to match regional balance characteristics and coupling coordination patterns.
{"title":"National shared responsibility mechanism for carbon reduction: Addressing resource imbalances from interprovincial flows of virtual water-energy-carbon","authors":"Xuezhen Ren,&nbsp;Tianhua Ni","doi":"10.1016/j.apgeog.2025.103576","DOIUrl":"10.1016/j.apgeog.2025.103576","url":null,"abstract":"<div><div>Commodity trade influences the spatial distribution and interrelationships of virtual water‒energy‒carbon (WEC) systems, thereby affecting regional resource balance and equity in carbon emissions reductions. A triangular framework was established to evaluate the spatial flow and disparities of virtual WEC across 30 provinces in China. Significant differences were identified between the production and consumption sectors, highlighting a strong connection between energy and carbon, as well as a trade-off with water. Approximately 63% of the provinces demonstrated a moderate degree of coordination within the virtual WEC system, which was found to negatively correlate with their levels of social and economic development. The transfer of virtual WEC was observed from the less developed western and northern regions to the economically advanced southeastern coastal areas, exacerbating disparities in resource distribution and carbon emissions. Therefore, a joint shared responsibility mechanism for carbon reduction is proposed, utilizing the water fairness coefficient to assess inequities in responsibility arising from the spatial flow of virtual WEC. Nationally, it is recommended to intensify efforts in coordinating WEC management and implement a carbon compensation strategy for regions with disproportionate burdens. Provincially, optimizing and adjusting industrial structures is crucial to match regional balance characteristics and coupling coordination patterns.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"177 ","pages":"Article 103576"},"PeriodicalIF":4.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The impact of sub-pixel scale urban function on urban heat island: Insights derived from its decomposition
IF 4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-02-27 DOI: 10.1016/j.apgeog.2025.103572
Qingfeng Guan , Yajun Li , Wenjia Huang , Wei Cao , Zhewei Liang , Jie He , Xun Liang
Urban functional land use significantly impacts the Urban Heat Island (UHI) effect. While many studies have explored this relationship, research on mixed functional land use and its effects on UHI is limited. This study uses remote sensing imagery and multisource data to identify urban mixed-function structures at the sub-pixel scale. Focusing on the Wuhan Urban Agglomeration (WUA), the study utilizes eXtreme Gradient Boosting (XGBoost) to establish the mapping relationship between mixed land use and UHI. Shapley Additive exPlanations (SHAP) method is applied to explain the mechanism by which mixed functional land use affects UHI. The findings show accuracies exceeding 80% in identifying mixed-function structures, validating the effectiveness of the mixed pixel decomposition method. SHAP analysis reveals that the abundance of industrial land, residential land, commercial land, and public land all positively correlate with UHI. Industrial land has the highest abundance impact, followed by residential land, with public and commercial land having the least. Moreover, SHAP plots show that combining high-fraction industrial and residential land intensifies UHI, as does mixing residential with high-fraction commercial land. This study provides crucial insights for urban planning and sustainable development.
{"title":"The impact of sub-pixel scale urban function on urban heat island: Insights derived from its decomposition","authors":"Qingfeng Guan ,&nbsp;Yajun Li ,&nbsp;Wenjia Huang ,&nbsp;Wei Cao ,&nbsp;Zhewei Liang ,&nbsp;Jie He ,&nbsp;Xun Liang","doi":"10.1016/j.apgeog.2025.103572","DOIUrl":"10.1016/j.apgeog.2025.103572","url":null,"abstract":"<div><div>Urban functional land use significantly impacts the Urban Heat Island (UHI) effect. While many studies have explored this relationship, research on mixed functional land use and its effects on UHI is limited. This study uses remote sensing imagery and multisource data to identify urban mixed-function structures at the sub-pixel scale. Focusing on the Wuhan Urban Agglomeration (WUA), the study utilizes eXtreme Gradient Boosting (XGBoost) to establish the mapping relationship between mixed land use and UHI. Shapley Additive exPlanations (SHAP) method is applied to explain the mechanism by which mixed functional land use affects UHI. The findings show accuracies exceeding 80% in identifying mixed-function structures, validating the effectiveness of the mixed pixel decomposition method. SHAP analysis reveals that the abundance of industrial land, residential land, commercial land, and public land all positively correlate with UHI. Industrial land has the highest abundance impact, followed by residential land, with public and commercial land having the least. Moreover, SHAP plots show that combining high-fraction industrial and residential land intensifies UHI, as does mixing residential with high-fraction commercial land. This study provides crucial insights for urban planning and sustainable development.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103572"},"PeriodicalIF":4.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Trees’ cooling amplified the effect of air purification in Shanxi
IF 4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-02-26 DOI: 10.1016/j.apgeog.2025.103569
Xiaoyu Yu , Xueyan Cheng , Jianquan Dong , Zhiwei Yang , Dongmei Xu , Jian Peng
Under global climate change and urbanization, the growing frequency of the coupling between urban heat and air pollution has posed significant threats to public health. While increasing tree cover percentage (TCP) holds the potential for both cooling and air purification, these aspects are often examined separately, making it unclear whether TCP's cooling and air purification exhibit synergies or trade-offs, particularly across different TCP ranges. Employing an interpretable machine learning model, we innovatively quantified the nonlinear characteristics and thresholds of TCP's air purification effect in temperate continental climate, as well as its cooling effect. Structural equation modeling further analyzed their interactions under different TCP ranges. The results showed threshold effects, with cooling and air purification stabilizing when TCP reached 7.9% and 12.6%, respectively. More importantly, under high TCP (TCP ≥ 7.9%), TCP-induced cooling amplified air purification through temperature-pollutants interactions. This indirect effect accounted for 61.45% of the total TCP-induced PM10 reduction. However, under low TCP (TCP < 7.9%), both direct and indirect effects exacerbated PM10 pollution, contributing 82.42% and 17.58%, respectively. Clarifying the relationship between TCP's cooling and air purification, provided a basis for the collaborative mitigation of urban heat and air pollution through reasonable urban tree planting.
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引用次数: 0
Exploring the relationship between city size and carbon emissions: An integrated population-land framework
IF 4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-02-26 DOI: 10.1016/j.apgeog.2025.103571
Jinfang Pu , Fangzhou Xia
As global climate change intensifies and urbanization accelerates, research on urban climate change has become a global concern. Urban decision-makers must determine optimal city sizes to achieve net-zero emissions. However, previous studies have mainly focused on average relationships between city size and carbon emissions, overlooking non-linear dynamics. This study used urban scaling laws to investigate relationships between city size and carbon emissions from population and land perspective across 294 Chinese cities. Results showed a sub-linear relationship between urban population size (UPS) and carbon emissions and a super-linear relationship between urban land size (ULS) and carbon emissions. Regionally, cities in central regions demonstrated higher carbon emission performance than those in western and eastern regions. The land perspective indicated lower carbon emission performance compared to the population perspective. Both perspectives revealed non-linear relationships between city size and urban scaling exponent for carbon emissions, characterized by multiple minima. Multiple city sizes can achieve optimal carbon emissions; however, only one ULS is ideal for a specific city size to ensure environmental sustainability. This study provides valuable policy insights for decision-makers in formulating reasonable low-carbon strategies.
{"title":"Exploring the relationship between city size and carbon emissions: An integrated population-land framework","authors":"Jinfang Pu ,&nbsp;Fangzhou Xia","doi":"10.1016/j.apgeog.2025.103571","DOIUrl":"10.1016/j.apgeog.2025.103571","url":null,"abstract":"<div><div>As global climate change intensifies and urbanization accelerates, research on urban climate change has become a global concern. Urban decision-makers must determine optimal city sizes to achieve net-zero emissions. However, previous studies have mainly focused on average relationships between city size and carbon emissions, overlooking non-linear dynamics. This study used urban scaling laws to investigate relationships between city size and carbon emissions from population and land perspective across 294 Chinese cities. Results showed a sub-linear relationship between urban population size (UPS) and carbon emissions and a super-linear relationship between urban land size (ULS) and carbon emissions. Regionally, cities in central regions demonstrated higher carbon emission performance than those in western and eastern regions. The land perspective indicated lower carbon emission performance compared to the population perspective. Both perspectives revealed non-linear relationships between city size and urban scaling exponent for carbon emissions, characterized by multiple minima. Multiple city sizes can achieve optimal carbon emissions; however, only one ULS is ideal for a specific city size to ensure environmental sustainability. This study provides valuable policy insights for decision-makers in formulating reasonable low-carbon strategies.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"177 ","pages":"Article 103571"},"PeriodicalIF":4.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Applied Geography
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