Applied Geography最新文献_第4页

Locational choices of Chinese overseas returnees: The intertwined roles of urban amenities and economic opportunities 中国海归的区位选择：城市便利设施与经济机会的交织作用

IF 4 2区地球科学

Applied Geography Pub Date : 2025-03-28 DOI: 10.1016/j.apgeog.2025.103608

Yuanyuan Xie, Chengyuan Yu, Jiarui Yang, Can Cui

{"title":"Locational choices of Chinese overseas returnees: The intertwined roles of urban amenities and economic opportunities","authors":"Yuanyuan Xie, Chengyuan Yu, Jiarui Yang, Can Cui","doi":"10.1016/j.apgeog.2025.103608","DOIUrl":"10.1016/j.apgeog.2025.103608","url":null,"abstract":"<div><div>An increasing number of Chinese international students are choosing to return to China after completing their studies abroad. Despite this trend, the factors influencing their choice of employment city within China remain understudied. Using resume data from the “<em>Maimai”</em> online professional social networking platform, this study illustrates the geographic distribution of Chinese overseas returnees. By employing a random forest model, we join the job-versus-amenity debate on human capital migration by investigating the relative importance of economic factors and amenities. The findings demonstrate that overseas returnees are predominantly clustered in eastern cities, particularly Beijing and Shanghai, forming a “dual-core and multi-center” pattern. Economic factors, such as the average annual wage and the average house prices, are the primary determinants influencing the choices of employment city for returnees. Urban amenities, particularly consumer and cultural facilities, and social atmosphere, also contribute to attracting returnees. These factors exhibit threshold effects, exerting significant influence only beyond specific values. Furthermore, the effect of amenities is largely confined to cities with higher average annual wages. This study reveals that the attractiveness of urban amenities to talent differs across locations with varying levels of economic development, calling for a deepened understanding of the dynamics behind talent migration.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103608"},"PeriodicalIF":4.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715031","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

Optimizing air pollution sensing for social and environmental justice 优化空气污染感知，实现社会和环境正义

IF 4 2区地球科学

Applied Geography Pub Date : 2025-03-26 DOI: 10.1016/j.apgeog.2025.103606

Yue Lin , Caitlin Robinson , Qian Fang Yeap , Helen Michael

引用次数: 0

Impact-driven spatial planning for future-proofing small island states: A scenario-based land model analysis in Curaçao 面向面向未来的小岛屿国家的影响驱动空间规划：基于情景的库拉帕拉索土地模型分析

IF 4 2区地球科学

Applied Geography Pub Date : 2025-03-25 DOI: 10.1016/j.apgeog.2025.103604

Rex Steward , Pierre Chopin , Peter H. Verburg

{"title":"Impact-driven spatial planning for future-proofing small island states: A scenario-based land model analysis in Curaçao","authors":"Rex Steward , Pierre Chopin , Peter H. Verburg","doi":"10.1016/j.apgeog.2025.103604","DOIUrl":"10.1016/j.apgeog.2025.103604","url":null,"abstract":"<div><div>The sustainable development of small island states faces complex challenges exacerbated by their unique vulnerabilities and limited resource bases. Global change and pressures can be reflected locally in the use of land in these territories, with attendant socio-economic and environmental consequences borne by inhabitants and ecosystems. In this study, we propose an integrated approach combining participatory Bayesian networks, land use modelling, and multi-criteria impact analysis to explore three development pathways for 2050 constrained by alternative spatial planning options in Curaçao. Zoning regulations are shown here to limit sprawling built-up patterns and confine development to specific segments of the coast, reducing loss of rare vegetation by an average of 32 % and reducing added nutrient fluxes to the coastline by up to 22 %. Outcomes arising from unregulated development typically perform worst in terms of marginal environmental impacts per added value. Ultimately, this research contributes practical insights for decision makers grappling with the intricate challenges of spatial development in small island contexts, fostering planning debates and aiding in the navigation of intersectoral conflict. By elucidating the relationships between zoning regulations, socio-economic drivers, and environmental outcomes, the study supports informed decision-making towards achieving sustainable development goals amidst uncertainty and resource constraints.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103604"},"PeriodicalIF":4.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696831","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

Exploring urban environmental semantics for air quality prediction using explainable multi-view spatiotemporal graph neural networks 利用可解释的多视点时空图神经网络探索城市环境语义用于空气质量预测

IF 4 2区地球科学

Applied Geography Pub Date : 2025-03-25 DOI: 10.1016/j.apgeog.2025.103605

Qi Long, Jun Ma

{"title":"Exploring urban environmental semantics for air quality prediction using explainable multi-view spatiotemporal graph neural networks","authors":"Qi Long, Jun Ma","doi":"10.1016/j.apgeog.2025.103605","DOIUrl":"10.1016/j.apgeog.2025.103605","url":null,"abstract":"<div><div>Accurate air quality forecasting is essential for urban management and public health, yet it remains challenging due to the complexity of spatiotemporal air pollution dynamics and the interplay of static and dynamic urban factors. Traditional models often neglect the influence of static urban drivers, such as built environment features, which are critical to understanding pollution patterns. Addressing this limitation, we propose a multi-view, multi-modal Spatio-Temporal Graph Neural Network (STGNN) framework that integrates dynamic pollution data with static urban environmental semantics to improve predictive performance and interpretability. By embedding static features, such as Points of Interest (POIs), into the graph structure and leveraging a self-attention mechanism, our model captures complex spatial dependencies and temporal dynamics. Furthermore, an integrated Explainer module enhances transparency by revealing the spatial and feature-level influences driving air quality predictions. Experimental results demonstrate that our approach not only achieves superior predictive accuracy compared to benchmark models but also provides actionable insights into the relationships between urban features and air quality. This study highlights the importance of integrating multi-modal data and interpretability in advancing air quality prediction, offering valuable implications for urban planning and pollution mitigation strategies.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103605"},"PeriodicalIF":4.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682286","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

How does telework impact daily and residential mobilities: New geographies of working and living in Switzerland 远程办公如何影响日常和居住的流动性：瑞士工作和生活的新地理

IF 4 2区地球科学

Applied Geography Pub Date : 2025-03-25 DOI: 10.1016/j.apgeog.2025.103591

Laura Hostettler Macias, Emmanuel Ravalet, Patrick Rérat

{"title":"How does telework impact daily and residential mobilities: New geographies of working and living in Switzerland","authors":"Laura Hostettler Macias, Emmanuel Ravalet, Patrick Rérat","doi":"10.1016/j.apgeog.2025.103591","DOIUrl":"10.1016/j.apgeog.2025.103591","url":null,"abstract":"<div><div>The practice of telework has undergone a transformative shift, fundamentally reshaping work and lifestyle choices. Switzerland, like many other regions, experienced a remarkable acceleration of this shift, with the COVID-19 pandemic propelling telework from 25% of the workforce before the outbreak to 37.1% by the year 2022 (FSO, 2023). This surge in telework adoption has potentially enabled a re-evaluation of how people engage with their professional lives, offering new possibilities for individuals with diverse lifestyles and life course situations. This article explores the implications of telework on daily and residential mobility, focusing on the Swiss context. Our research addresses two key questions: Firstly, how does telework influence commuting patterns, and what are the resulting rebound effects on daily mobility. Secondly, what transformations occur in residential situations because of telework, and how do they influence mobility or immobility, and the choice of residence locations. To answer these questions, we analyze an ad hoc survey (n = 5′100). We will be discussing teleworking practices, socio-demographic factors, mobilities, and residential situations. Our central result is that telework reduces commuting frequencies while facilitating residential immobility but creating longer distances between workplaces and residences.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103591"},"PeriodicalIF":4.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682285","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

Spatial adaptations in hospitality amid COVID-19: A case study of Xiamen's B&B sector 新冠肺炎背景下酒店业的空间适应性——以厦门民宿行业为例

IF 4 2区地球科学

Applied Geography Pub Date : 2025-03-22 DOI: 10.1016/j.apgeog.2025.103603

Juan Lin , Han Li , Shuyu Xing , Weiye Xiao

{"title":"Spatial adaptations in hospitality amid COVID-19: A case study of Xiamen's B&B sector","authors":"Juan Lin , Han Li , Shuyu Xing , Weiye Xiao","doi":"10.1016/j.apgeog.2025.103603","DOIUrl":"10.1016/j.apgeog.2025.103603","url":null,"abstract":"<div><div>Despite numerous studies on COVID-19's impact on the global hospitality industry, China's accommodation sector faced uniquely severe challenges due to the Zero-COVID policy, underscoring the need for a detailed quantitative analysis of how the pandemic reshaped the geography of the particularly vulnerable bed and breakfast (B&B) sector. This study employs Xiamen, a renowned tourist destination in China, as a case study to explore the pandemic's effects on the spatial dynamics of new, surviving, and closed B&Bs by comparing data from the 2018–2020 and 2020–2022 periods. Our findings indicate that despite a significant number of closures, the overarching spatial pattern of B&Bs in Xiamen has remained consistent. However, the emergence of new B&Bs has become more scattered, with a notable trend towards the suburbs, suggesting a dual trend of both reliance on and independence from tourist attractions. Moreover, the pandemic has significantly changed the locational preferences of B&Bs, shifting the focus from high-end to more ordinary tourism resources—such as from prioritizing natural amenities to emphasizing social factors.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103603"},"PeriodicalIF":4.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682284","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

Spatial variabilities in factors affecting electric vehicle adoption across Virginia: A county-level analysis 影响弗吉尼亚州电动汽车采用的因素的空间变异：一个县级分析

IF 4 2区地球科学

Applied Geography Pub Date : 2025-03-19 DOI: 10.1016/j.apgeog.2025.103600

David W.S. Wong , Fengxiu Zhang , Saba N. Siddiki , Chaowei Yang

{"title":"Spatial variabilities in factors affecting electric vehicle adoption across Virginia: A county-level analysis","authors":"David W.S. Wong , Fengxiu Zhang , Saba N. Siddiki , Chaowei Yang","doi":"10.1016/j.apgeog.2025.103600","DOIUrl":"10.1016/j.apgeog.2025.103600","url":null,"abstract":"<div><div>Adoption of electric vehicles (EV) has been increasing in recent years in the U.S. Studies have investigated the determinants of EV adoption, such as income and housing structure. However, few studies have examined the spatial variation in the effects of such factors on EV adoption rates. Using Virginia as a case, this study evaluates how the effects of factors commonly associated with EV adoption vary geographically and investigates the influence of two understudied factors — highway density and political preferences — at the county level. Using standard regression, spatial lag regression, and geographically weighted regression (GWR) models, this study assesses how highway density, percent of urban population, percent of 1-unit housing structures, commute time, percent of population 65 and older, median household income, and percent votes for the Republican candidate in 2020 affect EV adoption rates at the county level. Results show that highway density and urban environment are insignificant, and all other factors are significant based on standard and spatial lag regression models. However, GWR adds housing structure to the list of insignificant factors at the local scale, while the impacts of other significant factors vary across Virginia counties differently. Thus, local policies facilitating EV adoption may have different effectiveness levels across Virginia counties, a conclusion likely applicable to other states. The current study also ascertains the importance of commute time, income and age in affecting EV adoption, and highlights the significance of political preference, a factor that has not been assessed previously.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103600"},"PeriodicalIF":4.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643916","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

Geographies of new ways of working 新工作方式的地理位置

IF 4 2区地球科学

Applied Geography Pub Date : 2025-03-19 DOI: 10.1016/j.apgeog.2025.103601

Grzegorz Micek , Carles Méndez-Ortega , Martijn J. Smit

引用次数: 0

Geographic constraints on rapid comprehension of tornado warning information 地理限制对龙卷风预警信息的快速理解

IF 4 2区地球科学

Applied Geography Pub Date : 2025-03-18 DOI: 10.1016/j.apgeog.2025.103598

Jason C. Senkbeil , Kathleen Sherman-Morris , S.M. Asger Ali , Cole Vaughn , Bernard Abubakari , Daniella Alaso

{"title":"Geographic constraints on rapid comprehension of tornado warning information","authors":"Jason C. Senkbeil , Kathleen Sherman-Morris , S.M. Asger Ali , Cole Vaughn , Bernard Abubakari , Daniella Alaso","doi":"10.1016/j.apgeog.2025.103598","DOIUrl":"10.1016/j.apgeog.2025.103598","url":null,"abstract":"<div><div>Sketch-mapping activities with in-person interviews were conducted with 65 participants in Alabama and Mississippi to explore how geographic awareness impacts risk perception for tornadoes. Geographic awareness metrics represented three variables: 1) the distance between their perceived home location and actual home location (P-A) on a blank map, 2) the correct percentage of counties (POC) labeled that bordered their home county, and 3) an assessment of the accuracy of their county shape (SHP) from their drawing. Results showed that participants who are more competent in one area of geographic awareness will also have some competency in the other measures. Accurate knowledge of tornado path direction was statistically significant with P-A distance, POC, SHP, and number of roads drawn. The demographic characteristics of participants and their geographic awareness scores were used with Principal Components Analysis and Cluster Analysis to detect which traits of participants were associated with better geographic awareness. Four distinct groups were identified with two groups having low or poor geographic awareness. The traits associated with these groups are nuanced. Of the four groups, the lowest ranking poor local geography group was characterized by the highest rate of home ownership, and was ranked second oldest, second in time lived in the county, and second in education, with higher racial and ethnic diversity than two groups. This suggests that experience, age, and education do not necessarily translate into knowing geographic information about the county or city. People with low geographic awareness are at a disadvantage when making protective action decisions during tornado warnings. More research is needed to examine the robustness of these results to determine best strategies for communicating information.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103598"},"PeriodicalIF":4.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643915","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

How do multidimensional tourism factors affect community resilience? 多维旅游因素如何影响社区恢复力？

IF 4 2区地球科学

Applied Geography Pub Date : 2025-03-15 DOI: 10.1016/j.apgeog.2025.103597

Gwanhui Han , Eunjung Yang

{"title":"How do multidimensional tourism factors affect community resilience?","authors":"Gwanhui Han , Eunjung Yang","doi":"10.1016/j.apgeog.2025.103597","DOIUrl":"10.1016/j.apgeog.2025.103597","url":null,"abstract":"<div><div>Community resilience is increasingly evaluated in light of growing uncertainties posed by disasters. While earlier research primarily focused on community-level factors, such as average income and education levels, recent studies have highlighted the importance of individual perceptions and industry contributions in shaping community resilience. Based on earlier discussions on the spatially diverse impacts of tourism on community resilience, this study investigates how individual- and industry-level factors in tourism contribute to community resilience over time and across regions. Using geographically weighted regression, we examined the spatially heterogeneous impacts of tourism factors on community resilience in tourism-dependent communities in Florida and the broader United States for 2015 and 2020. Notably, in contrast to national trends, excessive tourist congestion in Florida was not associated with a decline in community resilience, even when individual awareness of climate change was high. This indicates that raising awareness of climate change alone may be insufficient unless issues like tourist influx are directly addressed. Our findings emphasize the multidimensional nature of community resilience, advancing resilience theory and providing practical insights for localized strategies aimed at enhancing community resilience, particularly in tourism-dependent communities.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103597"},"PeriodicalIF":4.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632175","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