Applied Geography最新文献_第5页

Shrinking cities in China's urban network: a data-driven exploration of migration and investment flows 中国城市网络中萎缩的城市：数据驱动的移民和投资流动探索

IF 4 2区地球科学

Applied Geography Pub Date : 2025-05-14 DOI: 10.1016/j.apgeog.2025.103664

Yuzhou Chen , Ran Tao , Qiwei Ma , Mingshu Wang

{"title":"Shrinking cities in China's urban network: a data-driven exploration of migration and investment flows","authors":"Yuzhou Chen , Ran Tao , Qiwei Ma , Mingshu Wang","doi":"10.1016/j.apgeog.2025.103664","DOIUrl":"10.1016/j.apgeog.2025.103664","url":null,"abstract":"<div><div>Shrinking cities in China have garnered growing academic attention. However, most studies analyze these cities independently, overlooking their roles within broader urban networks. This study utilizes intercity migration and investment flow data to explore the roles of shrinking cities in China's urban network, focusing on flow patterns, network connectivity, and spatial interdependencies. The results show that migration outflows from shrinking cities are concentrated in provincial capitals, whereas investment flows predominantly target national economic centers such as Beijing and Shanghai. Shrinking cities demonstrate higher connectivity in migration networks than in investment networks, often functioning as peripheral nodes with constrained influence. Distinct spatial patterns between migration and investment flows reveal significant regional disparities, highlighting uneven economic interdependencies across China's regions. We propose a comprehensive framework integrating flow pattern analysis, network metrics, and spatial association modeling to assess shrinking cities' roles in regional population and capital redistribution. The findings offer critical insights into the network roles of shrinking cities, supporting the formulation of coordinated development strategies across China's regions.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"180 ","pages":"Article 103664"},"PeriodicalIF":4.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941944","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

Differential influence on threatened vertebrates under land use and land cover change in China since the 21st century 21世纪以来中国土地利用和土地覆盖变化对濒危脊椎动物的差异影响

IF 4 2区地球科学

Applied Geography Pub Date : 2025-05-13 DOI: 10.1016/j.apgeog.2025.103650

Can Yang , Geli Zhang , Yuzhe Li , Xi Zhang , Jinwei Dong

{"title":"Differential influence on threatened vertebrates under land use and land cover change in China since the 21st century","authors":"Can Yang , Geli Zhang , Yuzhe Li , Xi Zhang , Jinwei Dong","doi":"10.1016/j.apgeog.2025.103650","DOIUrl":"10.1016/j.apgeog.2025.103650","url":null,"abstract":"<div><div>Land use/land cover change (LUCC) has been considered a primary driver of biodiversity loss. However, since 2000, China has experienced rapid economic growth, leading to significant shifts in land-use patterns. These processes are profoundly impacting the achievement of the Kunming-Montreal Global Biodiversity Framework, yet their influence remains unclear. Here, we aim to identify the potential biodiversity spots affected by LUCC (particularly cropland expansion, urbanization, and ecological restoration) by integrating the multiple phases of high-resolution land use and land cover datasets and the biodiversity dataset. We found that 445 spots with high species richness of threatened vertebrates are potentially threatened by cropland expansion, mainly in the Northeast China and the Middle-Lower Yangtze Plain, and 421 spots characterized by settlement expansion and high species richness of threatened vertebrates, concentrated in the Middle-Lower Yangtze Plain and the South China. There were also 296 spots, characterized by large-scale ecological restoration projects and high species richness of threatened vertebrates. Due to the spatial distribution of different taxonomic groups, threatened mammals and amphibians have benefited most from ecological restoration projects. Conversely, birds benefited the least from ecological restoration projects. The findings are expected to provide scientific references for China to achieve the goals of the Kunming-Montreal Global Biodiversity Framework.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"180 ","pages":"Article 103650"},"PeriodicalIF":4.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935592","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

Using multi-source big data to identify “double-aging” neighborhoods for urban retrofitting: A case study of Beijing 利用多源大数据识别城市改造中的“双老化”街区——以北京为例

IF 4 2区地球科学

Applied Geography Pub Date : 2025-05-11 DOI: 10.1016/j.apgeog.2025.103658

Feifan Gao, Hao Zheng, Bo Qin

{"title":"Using multi-source big data to identify “double-aging” neighborhoods for urban retrofitting: A case study of Beijing","authors":"Feifan Gao, Hao Zheng, Bo Qin","doi":"10.1016/j.apgeog.2025.103658","DOIUrl":"10.1016/j.apgeog.2025.103658","url":null,"abstract":"<div><div>Building stock aging has long been a major concern in urban retrofitting programs. In particular, as the person-environment (P-E) mismatch becomes increasingly severe for older adults, identifying “double-aging” neighborhoods has become the main challenge for age-friendly city development. Taking Beijing, China as a case study, we used Baidu Map location-based service data and Anjuke imagery data to depict the spatial patterns of the aging population and building stock and applied the competence-press model to measure the degree of double aging in neighborhoods. The results showed that the distribution of the aging population follows a “high-low-high” gradient radiating outward from the urban core. The old and dilapidated building stocks are mainly concentrated within the 2nd Ring Road. Neighborhoods experiencing severe double aging form distinct clusters within the 4th Ring Road. These spatial patterns are shaped by the interplay of historical, economic, and governance-driven factors. Notably, approximately 30 % of neighborhoods severely affected by double aging are currently excluded from municipal retrofitting plans. By using multi-source big data and deep-learning methods, this study provides a timely and innovative approach to identifying double-aging neighborhoods in urgent need of urban retrofitting in currently aging cities.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"180 ","pages":"Article 103658"},"PeriodicalIF":4.0,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143931908","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

A geospatial perspective on electrification strategy in urbanizing africa 非洲城市化中电气化战略的地理空间视角

IF 4 2区地球科学

Applied Geography Pub Date : 2025-05-08 DOI: 10.1016/j.apgeog.2025.103647

Jessica Kersey , Samuel Miles , Vivek Sakhrani , Bryan Bonsuk Koo , Setu Pelz

{"title":"A geospatial perspective on electrification strategy in urbanizing africa","authors":"Jessica Kersey , Samuel Miles , Vivek Sakhrani , Bryan Bonsuk Koo , Setu Pelz","doi":"10.1016/j.apgeog.2025.103647","DOIUrl":"10.1016/j.apgeog.2025.103647","url":null,"abstract":"<div><div>Efforts to achieve Sustainable Development Goal (SDG) 7, to ensure modern energy for all, have largely followed models of rural electrification premised on extending the provision of electricity to remote, low-income populations. Yet, urbanization in Africa has produced complex and densifying human settlement patterns with diverse economic and energetic needs. Much of the body of work supporting SDG 7 relies on a binary rural-urban categorization and has yet to engage critically with the increasing spatial, demographic, and economic heterogeneity of these spaces. This analysis uses geospatial techniques to evaluate the distribution of the unelectrified in sub-Saharan Africa along a 30-category spatial framework which describes space along a rural-urban continuum. Our results highlight large concentrations of unelectrified people in the peripheries of small to medium cities, which themselves are often poorly electrified. More sophisticated ways of understanding the spatiality of electrification can provide strategic insights on how we assess the needs and barriers to access for diverse communities, select and innovate appropriate technologies and solutions, and define effective jurisdictions for government institutions.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"180 ","pages":"Article 103647"},"PeriodicalIF":4.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923612","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

Social vulnerability gaps: Dynamics of the unsheltered homeless and wildfire hazards 社会脆弱性差距：无家可归者和野火灾害的动态

IF 4 2区地球科学

Applied Geography Pub Date : 2025-05-06 DOI: 10.1016/j.apgeog.2025.103648

Zhongqi Zheng, Alan T. Murray, Stuart H. Sweeney, Sophia D. Arabadjis

{"title":"Social vulnerability gaps: Dynamics of the unsheltered homeless and wildfire hazards","authors":"Zhongqi Zheng, Alan T. Murray, Stuart H. Sweeney, Sophia D. Arabadjis","doi":"10.1016/j.apgeog.2025.103648","DOIUrl":"10.1016/j.apgeog.2025.103648","url":null,"abstract":"<div><div>Demographic and socio-economic omissions in social vulnerability assessments are not uncommon. However, conclusions from incomplete population characterization contribute to inequity and marginalization of at-risk segments of society, individuals who require care, resource assistance, and tailored public policy. The unsheltered homeless are considered here as an underrepresented segment of socially vulnerable people in hazard assessment. The unsheltered suffer disproportionately higher levels of direct exposure to natural and human-caused disasters, yet their lack of stable housing and often frequent moves make them both hidden and invisible in traditional census information. An exploratory spatial data analysis framework is developed to combine geographic information systems (GIS), statistics, and geostatistics to assess the implication of this omission. This research treats the integration of annual government counts and continuously updated, community-contributed information as a means of capturing regional spatial patterns of unsheltered homelessness at a fine geographic level. Comparison is then made to approaches based on traditional social vulnerability measures to evaluate consistency and representativeness. The findings suggest a significant gap in existing approaches. This study sheds light on potential avenues for more inclusive and accurate assessments of social vulnerability in the context of hazards.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"180 ","pages":"Article 103648"},"PeriodicalIF":4.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912303","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

Exploring the associations of socioeconomic characteristics and distance decay effects with two-Steps spatial interaction model 利用两步空间相互作用模型探讨社会经济特征与距离衰减效应的关系

IF 4 2区地球科学

Applied Geography Pub Date : 2025-05-05 DOI: 10.1016/j.apgeog.2025.103646

Bowen Zhang , Chen Zhong , Qi-li Gao , Zahratu Shabrina

{"title":"Exploring the associations of socioeconomic characteristics and distance decay effects with two-Steps spatial interaction model","authors":"Bowen Zhang , Chen Zhong , Qi-li Gao , Zahratu Shabrina","doi":"10.1016/j.apgeog.2025.103646","DOIUrl":"10.1016/j.apgeog.2025.103646","url":null,"abstract":"<div><div>The Spatial Interaction (SI) model is a prominent tool for predicting trip flows based on the distance decay effect. Despite extensive discussions on spatial heterogeneity and spatial structure, existing SI models are still exploring ways to incorporate local distance decay variations within small urban areas. Furthermore, non-spatial factors, such as socioeconomic characteristics, are typically underestimated in SI and other travel flow prediction models. To tackle these issues, this study introduces a novel two-step SI model that enhances travel flow predictions. This study utilises a k-means clustering algorithm to group areas based on residents' socioeconomic characteristics, then calibrates the localised distance-decay parameter in the origin-specific gravity model for each group and predicts the travel flows. Demonstrated by a case study of the Greater London Area (GLA), we uncovered local distance decay patterns in commuting trips and explained their associations with spatial structure and non-spatial factors using census data. Most importantly, the results proved that our two-step SI model could significantly improve the accuracy of flow predictions without considerably increasing computational complexity.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"179 ","pages":"Article 103646"},"PeriodicalIF":4.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904066","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

Regional differences and driving factors of population security in China's border areas from the location perspective 区位视角下中国边境地区人口安全的区域差异与驱动因素

IF 4 2区地球科学

Applied Geography Pub Date : 2025-05-02 DOI: 10.1016/j.apgeog.2025.103643

Lingmin Zhao , Qingshan Yang , Jian Liu , Jie Liu

{"title":"Regional differences and driving factors of population security in China's border areas from the location perspective","authors":"Lingmin Zhao , Qingshan Yang , Jian Liu , Jie Liu","doi":"10.1016/j.apgeog.2025.103643","DOIUrl":"10.1016/j.apgeog.2025.103643","url":null,"abstract":"<div><div>Population security in border areas is the foundation and an important guarantee of national security. Research on its driving mechanisms can provide a reference for promoting sustainable development in border areas and formulating national border security policies. From a locational perspective, this paper divides China's border areas into five regions, constructs a theoretical framework for the connotation and driving factors of population security in border areas, and establishes an indicator system suitable for evaluating the level of population security in border areas. Using the Topsis-entropy method and the geographic detector model, this study analyzes regional differences in population security levels in border areas from 1990 to 2020 and their driving factors. The results show that from 1990 to 2020, the population security level in border areas first increased and then declined, with an overall low level. There are significant variations in population security development types across different border areas, with growth rates gradually slowing and regional disparities narrowing. The population security level in border areas is influenced by various factors and exhibits significant spatial heterogeneity. To promote the coordinated development of border areas and safeguard national security, this paper proposes specific policy recommendations addressing population security issues and their underlying causes.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"179 ","pages":"Article 103643"},"PeriodicalIF":4.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899096","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

Mapping the distribution of pedestrian exposure to air pollution on urban road segments based on mobile monitoring and street view images 基于移动监测和街景图像绘制城市路段行人暴露于空气污染的分布

IF 4 2区地球科学

Applied Geography Pub Date : 2025-04-30 DOI: 10.1016/j.apgeog.2025.103644

Xujing Yu , Jun Ma

引用次数: 0

Living alone and electoral behavior. A contextual approach looking at single-person households in southern Europe 独居和选举行为。对南欧单人家庭的背景分析

IF 4 2区地球科学

Applied Geography Pub Date : 2025-04-29 DOI: 10.1016/j.apgeog.2025.103639

Ricardo Iglesias-Pascual , Teodoro Alcántara-Dormido , Raymond Lagonigro

{"title":"Living alone and electoral behavior. A contextual approach looking at single-person households in southern Europe","authors":"Ricardo Iglesias-Pascual , Teodoro Alcántara-Dormido , Raymond Lagonigro","doi":"10.1016/j.apgeog.2025.103639","DOIUrl":"10.1016/j.apgeog.2025.103639","url":null,"abstract":"<div><div>According to the background literature, there has been a significant increase recently in single-person households. However, few studies have analyzed the socio-economic characteristics of single-person households, and, to our knowledge, no analysis linking this type of household with electoral geography has yet been carried out. This paper proposes a socio-territorial approach to studying single-person households in the two largest cities in Andalusia (Seville and Malaga) and their link with support for left-wing, right-wing, and populist parties, with a spatial statistical analysis carried out at census tract level to measure their isolation and spatial concentration level. Later, using Geographic Weighted Regressions models, we analyze the central and local trends in the relationship between voting for the types of parties proposed, income level, and the presence of single-person households in the territory. Our results shed light on the relationship between the presence of single-person households, with their increased degree of loneliness, and voting for right-wing parties. Finally, we project a multinomial logistic model to explain the characteristics of the census tracts in Sevilla and Malaga based on the proportions of single-person households, in which the results show varying relationships between the vote for right populist parties and the proportions of single person households.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"179 ","pages":"Article 103639"},"PeriodicalIF":4.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881640","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

Carbon emissions and government interventions in urban agglomerations of China: An integrated GWR and neural network approach 中国城市群碳排放与政府干预：基于GWR和神经网络的综合分析

IF 4 2区地球科学

Applied Geography Pub Date : 2025-04-29 DOI: 10.1016/j.apgeog.2025.103645

Yang Xu , Feng Xu , Guangqing Chi , Ziqiang Gong

{"title":"Carbon emissions and government interventions in urban agglomerations of China: An integrated GWR and neural network approach","authors":"Yang Xu , Feng Xu , Guangqing Chi , Ziqiang Gong","doi":"10.1016/j.apgeog.2025.103645","DOIUrl":"10.1016/j.apgeog.2025.103645","url":null,"abstract":"<div><div>The dual-carbon target that aims to achieve peak carbon and carbon neutrality before 2060 is a pivotal strategy for China's green and low-carbon development. As major contributors to China's economy and its carbon emissions, urban agglomerations play a critical role in reducing carbon emissions, and government interventions have attracted considerable attention. In this context, this study focuses on the spatiotemporal nonstationary characteristics of factors influencing carbon emissions in 19 urban agglomerations in China. Using the geographically weighted regression (GWR) model and its extensions, we analyzed the impacts of two government intervention factors—fiscal expenditure and green cover—on carbon emissions. A comparison of multiple models revealed that the geographically and temporally neural network weighted regression (GTNNWR) model best captures the spatiotemporal nonstationary relationships. Our findings indicate that increased government fiscal expenditure generally reduces carbon emissions, with stronger effects in the northern cities we studied. Urban green cover has significant negative impacts in the core cities of most urban agglomerations. However, these impacts may reverse in a very small portion of cities, possibly due to differences in development stages. The results provide insights for the government to formulate carbon reduction strategies.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"179 ","pages":"Article 103645"},"PeriodicalIF":4.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887641","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