Applied Geography最新文献_第7页

The impact of skill-biased technological change on urban-rural income inequality: Evidence from China 技能偏向的技术变革对城乡收入不平等的影响：来自中国的证据

IF 5.4 2区地球科学

Applied Geography Pub Date : 2026-02-01 Epub Date: 2026-01-05 DOI: 10.1016/j.apgeog.2026.103891

Yuxin Pan , Feifan Gao , Zuge Xing

{"title":"The impact of skill-biased technological change on urban-rural income inequality: Evidence from China","authors":"Yuxin Pan , Feifan Gao , Zuge Xing","doi":"10.1016/j.apgeog.2026.103891","DOIUrl":"10.1016/j.apgeog.2026.103891","url":null,"abstract":"<div><div>As technological progress reshapes the skill demands of regional labor markets, developing countries often exhibit pronounced income inequality. However, existing research on skill-biased technological change (SBTC) primarily focuses on its impact on labor forces with varying skill levels, paying insufficient attention to its role in urban-rural income inequality (URII). This study employs machine learning models to estimate the level of SBTC across 246 prefecture-level cities in China from 2005 to 2015 and analyzes its effect on URII. The results show that China's SBTC intensity increased significantly during the study period, with every 1 % rise in SBTC widening the URII by 0.108 %. This effect remains robust across multiple robustness tests. Furthermore, the widening effect is particularly pronounced in regions with higher foreign direct investment, urbanization level, and non resource-dependent cities. Finally, we find that task biased technological change further amplifies the positive impact of SBTC on URII. Our findings provide policy implications for refining urban-rural development strategies to enhance the inclusivity of technological progress and facilitate skill upgrading among rural laborers.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"187 ","pages":"Article 103891"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927430","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 traveler roles based on potential group travelers extracted from metro smart card data 基于从地铁智能卡数据中提取的潜在团体旅行者，探索旅行者角色

IF 5.4 2区地球科学

Applied Geography Pub Date : 2026-02-01 Epub Date: 2025-12-19 DOI: 10.1016/j.apgeog.2025.103872

Xiaoying Shi , Ruixuan Wang , Chao Wu , Dandan Liu , Haitao Xu , Yongping Zhang

{"title":"Exploring traveler roles based on potential group travelers extracted from metro smart card data","authors":"Xiaoying Shi , Ruixuan Wang , Chao Wu , Dandan Liu , Haitao Xu , Yongping Zhang","doi":"10.1016/j.apgeog.2025.103872","DOIUrl":"10.1016/j.apgeog.2025.103872","url":null,"abstract":"<div><div>Understanding group travel behavior is essential for unraveling the social dynamics underlying urban mobility, supporting more accurate demand forecasting and targeted service planning. Although previous studies have examined the mobility patterns of familiar strangers and group travelers, the spatiotemporal characteristics of group travel across different traveler roles remain underexplored. To fill this gap, this paper proposes an analytical framework for systematically exploring traveler roles in potential group travel behavior. We first identify potential social trips using the concept of spatiotemporal co-existence and then construct a large-scale social network of potential group travelers. By analyzing node features of the network, travelers are classified into distinct groups and the spatiotemporal mobility patterns of each group are subsequently examined. We employ a large-scale smart card dataset from Shanghai's metro system as a case study. The results indicate that potential social trips are more likely to occur during non-commuting hours. Social travelers exhibit high levels of group travel activity, while social isolators show low engagement in group travel except at major transportation hubs, likely for business-related purposes. Weekday- and holiday-preferred group travelers display spatial preferences associated with medical and recreational destinations, respectively. These findings offer valuable insights for socially aware transportation planning and user-centric urban policy-making.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"187 ","pages":"Article 103872"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145771905","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

Beyond the core-periphery division: revisiting the location of emerging environmental firms in an urban agglomeration 超越核心-外围划分：重新审视新兴环保企业在城市群中的位置

IF 5.4 2区地球科学

Applied Geography Pub Date : 2026-02-01 Epub Date: 2025-12-31 DOI: 10.1016/j.apgeog.2025.103890

Tong Shen, Xiyan Mao, Yuchen Li, Hongyu Qian

{"title":"Beyond the core-periphery division: revisiting the location of emerging environmental firms in an urban agglomeration","authors":"Tong Shen, Xiyan Mao, Yuchen Li, Hongyu Qian","doi":"10.1016/j.apgeog.2025.103890","DOIUrl":"10.1016/j.apgeog.2025.103890","url":null,"abstract":"<div><div>Despite the emerging role of environmental firms (EFs) in driving urban green transitions, the capacity of cities to develop EFs varies significantly. A profound understanding of EFs locations is required for more cities to benefit from the development of EFs. This paper proposes a new analytical framework that decomposes the location into two components: the local conditions of cities and their locational attractiveness compared to other cities. The framework incorporates the Lotka-Volterra model and Dendrinos-Sonis models to identify local conditions and locational attractiveness, respectively, from a co-evolved perspective. The development of EFs in the Yangtze River Delta (YRD) of China during 2000–2022 serves as a case. The empirical findings have identified five types of locations: glocalized, local-to-global, localized, footloose, and peripheral. Most cities in YRD can offer localized locations for EFs due to the abundance of industrial assets and natural assets and the absence of environmental infrastructures. Fewer than half of the cities can offer an inter-city interaction location based on benefits derived from knowledge creation and technological legitimation and drawbacks experienced in market formation and investment mobilization. The glocalized location for anchoring external resources and collaborating with external actors has an amplification effect on EF's development, while the local-to-global location for exploring external emerging market does not. Overall, this new typology of locations goes beyond the conventional core-periphery structure of an urban agglomeration, and provides a more nuanced spatial framework for the spatial planning of emerging industries.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"187 ","pages":"Article 103890"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145885825","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

Decoding urban park use patterns from a day–night disparity perspective: Evidence from Nanjing using machine learning 从昼夜差异的角度解读城市公园使用模式：基于机器学习的南京证据

IF 5.4 2区地球科学

Applied Geography Pub Date : 2026-02-01 Epub Date: 2025-12-24 DOI: 10.1016/j.apgeog.2025.103885

Xun Zhang , Junyan Yang , Ao Cui , Yi Shi , Wenlong Li , Chen Zhang , Chenyang Zhang , Zhonghu Zhang , Zhihan Zhang

{"title":"Decoding urban park use patterns from a day–night disparity perspective: Evidence from Nanjing using machine learning","authors":"Xun Zhang , Junyan Yang , Ao Cui , Yi Shi , Wenlong Li , Chen Zhang , Chenyang Zhang , Zhonghu Zhang , Zhihan Zhang","doi":"10.1016/j.apgeog.2025.103885","DOIUrl":"10.1016/j.apgeog.2025.103885","url":null,"abstract":"<div><div>Urban parks are recognized as important public spaces that support the health and well-being of urban residents. Although georeferenced data have been widely applied in park evaluations, most existing studies address temporal variation by analyzing different time periods separately, rather than adopting a comparative perspective to identify distinct park typologies. This study utilized large-scale mobile phone data from Nanjing, China, to investigate day–night differences in park visitation patterns and their determinants. Using a multi-method analytical approach that integrates principal component analysis, Gaussian mixture model clustering, and random forest models, 169 urban parks were classified into three categories: nighttime local leisure parks, daytime comprehensive leisure parks, and all-day balanced community parks. The results reveal that design and diversity dimensions exerted a consistent influence across park types, ranking among the top two contributors. In contrast, transit accessibility significantly shaped stay duration only in all-day balanced community parks, accounting for 10.64 % of the average relative importance. Moreover, different built-environment elements displayed threshold effects, such as the rapid rise in visiting distance disparities in daytime comprehensive leisure parks when the density of security facilities exceeded 0.4. Conversely, when the number of bus-stops further increased beyond 7, a pronounced accessibility saturation effect emerged, such that additional transit supply no longer influenced day–night stay-duration disparities in all-day balanced community parks. These findings underscore the importance of comparative temporal analysis for characterizing park use and highlight the need for refined, context-sensitive strategies to enhance the effectiveness and inclusiveness of urban park services.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"187 ","pages":"Article 103885"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145841630","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

Examining public health crises: Arizona hotspots and neighborhood-level predictors of homicide, suicide, and overdose 检查公共卫生危机：亚利桑那州热点和社区水平的杀人，自杀和过量预测

IF 5.4 2区地球科学

Applied Geography Pub Date : 2026-02-01 Epub Date: 2025-12-31 DOI: 10.1016/j.apgeog.2025.103888

Jordan Batchelor , Laura Lightfoot , Christi L. Gullion , Charles M. Katz

引用次数: 0

Institutional insights for smart cities and urban innovation: Lessons from building data dashboards 智慧城市和城市创新的制度洞察：从构建数据仪表板的经验教训

IF 5.4 2区地球科学

Applied Geography Pub Date : 2026-02-01 Epub Date: 2025-12-26 DOI: 10.1016/j.apgeog.2025.103873

B. Donald , N. Lowe , N. Kaza , S. Brail , K. Heatwole , C. DeLoyde , K. Khanal , N. McDonald , D. Planey , O. Wang

{"title":"Institutional insights for smart cities and urban innovation: Lessons from building data dashboards","authors":"B. Donald , N. Lowe , N. Kaza , S. Brail , K. Heatwole , C. DeLoyde , K. Khanal , N. McDonald , D. Planey , O. Wang","doi":"10.1016/j.apgeog.2025.103873","DOIUrl":"10.1016/j.apgeog.2025.103873","url":null,"abstract":"<div><div>Proponents of smart cities often envision a seamless, data-driven utopia where information is continuously collected and used for semi-automated decision-making. This paper offers a counter-narrative based on our experience developing dashboards from public and private data sources across three regional contexts in two North American countries. These projects, initiated by university-led teams, revealed the complex, interpretive, and collaborative nature of data work. Creating these dashboards required harmonising data across spatial, temporal, and institutional boundaries—an effort far more complex than the frictionless processes often promised by smart city advocates. Data collection, analysis, and communication demanded ongoing interpretation and adaptation by scholars, policymakers, and civic leaders. While these efforts did lead to innovations in public service delivery, they also challenge the notion of autonomous, data-driven decision-making central to smart city discourse. Beyond technical outcomes, our projects fostered new and repurposed partnerships, supported work and learning continuity, and enabled collective sense-making. These experiences suggest that rather than striving for fully automated systems, cities should embrace a nuanced form of “smartness”—one that values human judgment, collaboration, and adaptability to build resilience in urban institutions.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"187 ","pages":"Article 103873"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145841631","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 high-risk roadways using crowdsourced speed variation features from big mobility data 利用来自大移动数据的众包速度变化特征识别高风险道路

IF 5.4 2区地球科学

Applied Geography Pub Date : 2026-02-01 Epub Date: 2025-12-31 DOI: 10.1016/j.apgeog.2025.103889

Xiao Li

{"title":"Identifying high-risk roadways using crowdsourced speed variation features from big mobility data","authors":"Xiao Li","doi":"10.1016/j.apgeog.2025.103889","DOIUrl":"10.1016/j.apgeog.2025.103889","url":null,"abstract":"<div><div>Effectively identifying high-risk roadways is crucial for enhancing road safety; however, traditional crash-based safety assessments are reactive and may underestimate risks. Leveraging emerging big mobility data collected from connected vehicles (CV), this study presents a new approach to proactively identifying high-risk roadways using crowdsourced speed features. Ten speed variation features were generated from one month of CV data to depict speed dynamics on single carriageway ‘A’ roads in Oxfordshire, UK. To capture the temporal dynamics of speed variations, temporally disaggregated features were generated from peak hours, non-peak hours, and weekends. This study employed various statistical and machine learning-based regression models, including Classification and Regression Tree (CART), Random Forest, and eXtreme Gradient Boosting (XGBoost), to analyze the relationship between speed-related features and three safety performance measures based on five years of crash data. The SHapley Additive exPlanation (SHAP) approach was employed to interpret the modelling outputs. Results demonstrated that crowdsourced speed variation features, especially from different temporal windows, are valuable surrogate safety measures for quantifying crash risks. Features related to acceleration (acceleration noise) and speed variance (skewness index) significantly impacted the modelling results. These findings could help transport practitioners better understand how speed variations relate to crash risks and unlock the potential for conducting proactive safety assessments using crowdsourced driving behaviour data.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"187 ","pages":"Article 103889"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145885823","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

Bluetech in Baltimore: Co-creating smart city innovations with local youth 巴尔的摩Bluetech：与当地青年共同创造智慧城市创新

IF 5.4 2区地球科学

Applied Geography Pub Date : 2026-02-01 Epub Date: 2026-01-02 DOI: 10.1016/j.apgeog.2025.103887

Michele Masucci , Dillon Mahmoudi , Alan Wiig

{"title":"Bluetech in Baltimore: Co-creating smart city innovations with local youth","authors":"Michele Masucci , Dillon Mahmoudi , Alan Wiig","doi":"10.1016/j.apgeog.2025.103887","DOIUrl":"10.1016/j.apgeog.2025.103887","url":null,"abstract":"<div><div>This paper presents a case study of a climate-focussed digital internship pilot program intent on increasing engagement with, and jobs in, the “Bluetech” ocean-based economy in Baltimore, Maryland. Understanding participants' lived experiences across multiple strands of alignment–including general interest, digital skills and technology access, environmental knowledge, and perceptions of climate and environmental problems–supported their engagement in the program and advanced their educational and workforce goals. Those experiences are undergirded by the historical setting of Baltimore, which is navigating contemporary interrelated impacts of global change due to climate, economic, and digital infrastructure transformations. Like many cities, Baltimore has developed a policy agenda focused on technological innovation, sustainability, and education as conduits of progress meant to address these concerns. However, the promise of innovation across these policy areas may not be realized if Baltimore's youth do not attain the necessary digital competencies and relevant knowledge to address them. An iterative pedagogy was applied in order to help interns gain conceptual depth, technical skills, and content knowledge, and yielded insights about how youth may traverse the complexities of the modern Bluetech economy. Baltimore's innovation-forward policy agenda continues to require technology, education access and opportunity to connect to the economic directions being designed. And yet, the same advancement of innovation may also exacerbate the longstanding poverty present in the city if more is not done to bridge everyday experiences of youth with opportunities to learn and engage in foundational experiences, skills and knowledge upon which innovation will be based.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"187 ","pages":"Article 103887"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145885824","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

Erratum to “Growth of the wildland-urban interface and its spatial determinants in the Polish Carpathians” [Applied Geography 163 (2024) 103180] “波兰喀尔巴阡山脉荒地-城市界面的增长及其空间决定因素”的勘误[应用地理163 (2024)103180]

IF 5.4 2区地球科学

Applied Geography Pub Date : 2026-02-01 Epub Date: 2026-01-09 DOI: 10.1016/j.apgeog.2025.103791

Dominik Kaim , Piotr Szubert , Mahsa Shahbandeh , Jacek Kozak , Krzysztof Ostafin , Volker C. Radeloff

引用次数: 0

Beyond discrete indicators: Modeling intersectional flood vulnerability 超越离散指标：交叉洪水脆弱性建模

IF 5.4 2区地球科学

Applied Geography Pub Date : 2026-02-01 Epub Date: 2026-01-08 DOI: 10.1016/j.apgeog.2026.103894

Sina Razzaghi Asl , Eric Tate , Christopher T. Emrich , Md Asif Rahman , Kaeleb Royster

{"title":"Beyond discrete indicators: Modeling intersectional flood vulnerability","authors":"Sina Razzaghi Asl , Eric Tate , Christopher T. Emrich , Md Asif Rahman , Kaeleb Royster","doi":"10.1016/j.apgeog.2026.103894","DOIUrl":"10.1016/j.apgeog.2026.103894","url":null,"abstract":"<div><div>Social vulnerability to flooding is shaped by intersectional social marginalization, yet most quantitative assessments employ indicators of single populations. This study applies spatial machine learning to examine how the intersectional social vulnerability indicators of poverty-race, poverty-housing tenure, and race-housing tenure compare with traditional discrete indicators of single populations in predicting flood exposure in California. Using geographically weighted random forests and partial dependence plots, we model spatial heterogeneity and non-linear relationships between social vulnerability and exposure. We quantified flood exposure using a population-adjusted measure derived from building footprints and modeled 500-year fluvial and pluvial flood hazard. The results reveal distinct explanatory power of discrete and intersectional indicators. Variable importance analysis shows that intersectional indicators, such as Poor Renters and Non-white Renters, have stronger predictive importance than their discrete counterparts, particularly in urban regions, with mean local IncMSE values of 15.6–16.9 % compared to 12.3–14.8 %. Partial dependence analysis revealed threshold effects of non-linear indicator influence, with predicted exposure increasing sharply once intersectional populations exceed ∼60 % of tract-level representation. Our findings highlight limitations of assuming uniform indicator effects, and the need for non-linear, spatially adaptive models that increase conceptual alignment between social vulnerability theory and indicator modeling by integrating intersectional dimensions.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"187 ","pages":"Article 103894"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927431","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