Applied Spatial Analysis and Policy最新文献

{"title":"Analysis of the Distribution Pattern of Top Scientists in a Field and Its Impact on Regional Innovation Based on XGBoost and GNNWR —— A Case Study of the Marine Field","authors":"Zijun Hu,&nbsp;Wanglai Cui,&nbsp;Bojun Gu,&nbsp;Haiyue Zhong,&nbsp;Xiaoyu Cui","doi":"10.1007/s12061-026-09866-4","DOIUrl":"10.1007/s12061-026-09866-4","url":null,"abstract":"<div>\u0000 \u0000 <p>Top marine scientists are the core force driving the independent and self-reliant development of marine science and technology. Using data from 247 prefecture-level and above cities in China between 2019 and 2024, this study constructs XGBoost-SHAP and GNNWR models to conduct an in-depth analysis. The key findings are as follows: Firstly, the scale of top marine scientists has maintained steady growth, while the level of regional marine innovation has experienced a trend of first rising and then declining. Both are concentrated in core cities of urban agglomerations; the geographic center of scientist distribution has returned to its original position after slight fluctuations, whereas the center of innovation has continued to shift southwestward. Secondly, the spatial–temporal distribution of top marine scientists exhibits a stronger imbalance, while regional marine innovation demonstrates more significant spatial spillover effects. Thirdly, the spatial–temporal distribution of top marine scientists is primarily driven independently by factors such as economic coordination, business environment, R&amp;D platforms, and institutions of higher education, with the driving mechanism gradually evolving towards cross-dimensional interactive driving. Finally, the distribution of top marine scientists exerts a significant promotional effect on regional marine innovation, yet the average marginal impact has fluctuated downward. The high-impact zone has narrowed to only the city of Guangzhou, while the medium-impact zone has expanded from scattered single points to covering half of China.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147643033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drowning in Delays: Integrated Hydrological-Accessibility Framework for Flood-Resilient EMS and Transport Equality","authors":"Hongbo Zhao,&nbsp;Songyan Li,&nbsp;Qiyang Liu,&nbsp;Haobo Li,&nbsp;Shaozhen Cao,&nbsp;Yue Qi","doi":"10.1007/s12061-026-09860-w","DOIUrl":"10.1007/s12061-026-09860-w","url":null,"abstract":"<div>\u0000 \u0000 <p>This study quantifies the impact of urban pluvial flooding on Emergency Medical Service (EMS) accessibility, with a particular focus on specific populations in Zhengzhou, China.​ An integrated framework was developed, coupling a SCS-CN hydrological model to simulate 50-, 100-, and 500-year flood events with an Enhanced Two-Step Floating Catchment Area (E2SFCA) method, which incorporated varying traffic conditions, to assess EMS accessibility. Key results demonstrate that flood-induced road closures and peak-hour congestion significantly degrade EMS coverage, reducing 5-minute accessibility from 42% (under the 50-year event)to 36% (under the 500-year event) under optimal conditions(S1), and increasing inaccessible areas from 37% (under the 50-year event) to 47% (under the 500-year event) during peak-hour flooding scenarios(S2). Furthermore, K-means clustering identified four distinct EMS service types, revealing pronounced spatial inequalities disproportionately affecting specific groups. This research thus provides a robust, replicable framework for strengthening flood-resilient EMS systems and informs equitable urban resilience planning in climate-vulnerable cities.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147643127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Temperature on Public Travel Behavior and Attitudes across Urban Forms: A Nationwide Social Media Analysis in China","authors":"Chenjing Fan,&nbsp;Runhan Liu,&nbsp;Chenxi Jin,&nbsp;Lin Zhou","doi":"10.1007/s12061-026-09843-x","DOIUrl":"10.1007/s12061-026-09843-x","url":null,"abstract":"<div><p>Public travel behavior and attitudes are critical for urban sustainability, yet evidence on how temperature shapes them across urban forms remains limited. This study develops a nationwide natural language processing (NLP) approach using social media data to examine temperature–transport dynamics in 292 Chinese cities in (Aultman-Hall 2019). We identify travel-related posts and classify three behaviors—physical travel (PT), semi-motorized travel (ST), and motorized travel (MT)—and associated attitudes, yielding over 1.4 million valid entries. Urban scale, population density, green exposure and the urban centers per million residents are used as key urban form dimensions. The relationship between temperature and travel volumes exhibits an inverted U-shape: in the low-temperature range (&lt; 15 °C), a 1 °C increase raises PT, ST, and MT by 0.007, 0.003, and 0.002 standard deviations, whereas in the high-temperature range (&gt; 25 °C) a 1 °C increase reduces them by 0.012, 0.003, and 0.004. Under high temperatures, larger cities and polycentric cities show lower travel volumes, while denser and greener areas maintain higher activity. Temperature has the strongest effect on attitudes toward PT, also following an inverted U-shape. Higher temperatures weaken the positive influence of green exposure on PT and ST attitudes, higher population density is associated with more negative attitudes toward MT, and the ST in polycentric cities also shows negative effects. Our findings highlight how compact urban development and urban greening can buffer the adverse impacts of temperature on travel behavior and attitudes, providing spatially explicit evidence to support climate-sensitive transport and land-use policies.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147642348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"City Governance Digital Transformation and Rural-to-Urban Migrants’ Urban Settlement Intentions: Evidence from a Quasi-Natural Experiment in China","authors":"Haiyang Lu,&nbsp;Ya Li,&nbsp;Weiliang Hu","doi":"10.1007/s12061-026-09865-5","DOIUrl":"10.1007/s12061-026-09865-5","url":null,"abstract":"<div>\u0000 \u0000 <p>While the digital transformation of urban governance has become an important feature of contemporary urban development, its implications for rural-to-urban migrants remain insufficiently understood. Drawing on data from the China Migrants Dynamic Survey and using a difference-in-differences approach, this study examines how digital transformation of urban governance shapes rural-to-urban migrants’ intentions to settle in destination cities. The findings show that digital governance significantly increases rural-to-urban migrants’ settlement intentions. The effect is stronger among new-generation migrants, interprovincial migrants, families migrating with children, and migrants living in core cities. Mechanism analysis indicates that digital governance promotes migrants’ settlement intentions by facilitating their access to welfare programs and improving their labor market outcomes. These results highlight the potential of digital governance to strengthen the urban integration of vulnerable populations. This study provides policy insights for building more inclusive and equitable urban governance systems in the digital era.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147642497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Centrality and Equity in Access to Kidney Transplant: A Spatial Flow Analysis in Paraná State, Brazil","authors":"R. Márcia Neves-Oliveira,&nbsp;Vinícius Giacomin,&nbsp;Matheus H. A Beltrame,&nbsp;Fernanda Silva Oliveira Camargo,&nbsp;Amanda de Carvalho Dutra,&nbsp;Sanderland J. T Gurgel,&nbsp;Raissa B. Pedroso,&nbsp;Luciano de Andrade","doi":"10.1007/s12061-026-09858-4","DOIUrl":"10.1007/s12061-026-09858-4","url":null,"abstract":"<div>\u0000 \u0000 <p>To analyze the displacement of kidney patients from their municipalities of residence to transplant centers in the state of Paraná, using spatial analysis that considers the interaction between geographic space and flows. This cross-sectional ecological study employed spatial analysis techniques using short- and long-distance interaction indices (SDII and LDII) and global and local geographic centrality indices (GGCI and LGCI) to categorize spatial units as isolated, externally oriented, locally oriented and global. Spatial patterns of patient displacement were compared with the current configuration of transplant centers, and an optimized model was generated through spatial realignment. In the current model, mean SDII and LDII were 7.259 and 2.615 (GGCI = 0.769) at 60 min, and 5.561 and 2.104 (GGCI = 0.590) at 120 min (p &gt; 0.05). The southwest, northwest, and north regions of the state were classified as isolated and externally oriented, while in the southern region, we found global and locally oriented units, where the increase in travel time was significant. In the optimized model, SDII and LDII increased to 11.072 and 4.429 (GGCI = 0.978) at 60 min (p = 0.003) and to 9.045 and 5.033 (GGCI = 0.965) at 120 min (p = 0.028), indicating a more balanced spatial structure. The results of this study can guide strategic planning and development public policies to enhance a more equitable transplant system in Brazil.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-026-09858-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147642498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between Push-Pull Motivations, User’s Attitudes and Self-Reported Benefits towards Green Space in an Extremely Arid Oasis City","authors":"Zhiwei Zhang,&nbsp;Lei Shi,&nbsp;Ümüt Halik","doi":"10.1007/s12061-026-09846-8","DOIUrl":"10.1007/s12061-026-09846-8","url":null,"abstract":"<div>\u0000 \u0000 <p>The positive impact of urban green space on residents’ health has been exten-sively explored. However, previous studies have focused on exploring the impact of park physical characteristics on park use in developed countries, little attention to the compre-hensive effect of physical and psychological factors on usage patterns and perceived bene-fits. In fact, both push and pull forces jointly influence the usage patterns and perceived benefits. we conducted a face-to-face survey of 295 respond-ents in 6 parks and used mediation model to reveal the impacts push-pull motivations on park satisfaction, usage patterns and per-ceived benefits. The results showed that aesthetic and natural qualities and safe are the main pull factors. Landscape service motivation has the highest score in push factors, fol-lowed by sports, restorative and interpersonal motivation. Pull factors such as accessibil-ity, safety, infrastructure and landscape patterns are not the only factors positively related to park use and self-perceived benefits; recreation and interpersonal motivation also affect usage patterns and perceived benefits. The introduction of push factors increases the ex-planatory power of regression model, but also weakens the contribution of pull factors. The mediation model results reveal that push-pull factors are indirectly affected by the potential mediation adjustment of satisfaction on usage patterns and perceived benefits. The results suggest that paying attention to respondents’ motivation to improve park characteristics can effectively improve park satisfaction and indirectly improve park use and perceived benefits, which can serve as a reference for urban park management.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147642327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Applications of AI on Urban Environment-Health Research: Insights Across Multiple Spatial Scales","authors":"Zhenxin Li,&nbsp;Xiangfen Cui,&nbsp;Haoran Yang","doi":"10.1007/s12061-026-09847-7","DOIUrl":"10.1007/s12061-026-09847-7","url":null,"abstract":"<div>\u0000 \u0000 <p>Artificial Intelligence (AI) provides robust technical support for capturing, analyzing, and modeling the intricate relationship between the urban environment (UE) and residents’ health. This article systematically reviewes the related research published from 2017 to 2024 and presents two analytical frameworks. The first framework delineates AI-driven extraction methods for UE indicators across multiple spatial scales. The study reveals that AI is predominantly utilized at the microscale, particularly in the extraction of environmental variables from image data. The second framework divides the urban environment-health (UE-health) research into two distinct domains based on the research objectives: association exploration and mechanism analysis. This review shows that AI is widely applied in association exploration, facilitating variable construction or predictive modeling. In contrast, mechanism analysis still predominantly relies on traditional methods. Despite substantial gains in efficiency and data coverage, AI applications in UE-health research remain constrained by heterogeneous data sources that limit comparability across studies, semantic inconsistencies across scales that impede transferable modeling, narrow coverage of health outcomes, and limited model interpretability that restricts mechanism-oriented inference. Addressing these challenges will require the development of transferable, semantically consistent indicator systems, the integration of AI with causal inference and theoretical frameworks, and the implementation of dynamic, data-driven, scale-aware models. Advancing along these lines could shift the field from predominantly association-driven studies toward mechanistic understanding and theory-informed applications of AI in UE-health research.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147606861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bridging Sea and Sky: How Coastal Shipping Infrastructure Relates to Air Tourism in Insular Greece","authors":"Ioannis Sitzimis","doi":"10.1007/s12061-026-09859-3","DOIUrl":"10.1007/s12061-026-09859-3","url":null,"abstract":"<div>\u0000 \u0000 <p>This study examines how coastal shipping infrastructure is associated with air tourism development in insular Greece from 2010 to 2024. A multi-model quantitative approach combining Discriminant Function Analysis, Multinomial Logistic Regression, and Fixed-Effects Panel Regression is used to assess relationships between coastal passenger traffic, weekly ferry frequency, ferry type, regional population, and port capacity. Results indicate that air tourist arrivals were strongly associated with coastal passenger traffic (CPT), with particularly pronounced effects observed in the Attica hub, alongside notable regional and seasonal variability. Port capacity and regional population emerged as structural indicators associated with higher levels of air arrival intensity across islands, while weekly ferry frequency and seasonality explained variation over time.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-026-09859-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147606894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How Streetscape Design Shapes Everyday Street Vitality: The Mediating Role of Commercial Satisfaction within a Servicescape Framework","authors":"Chao Luo,&nbsp;Yiwei Mo,&nbsp;Yunzhong Wang,&nbsp;Yuxiao Jiang,&nbsp;Wenxin Zhang","doi":"10.1007/s12061-026-09863-7","DOIUrl":"10.1007/s12061-026-09863-7","url":null,"abstract":"<div><p>Everyday streets are fundamental social–spatial units of urban life that support residents, workers, and commuters through routine small-scale commercial services and the social interactions associated with them. The vitality of such streets—manifested primarily in high-frequency consumption-related activities and associated pedestrian presence—constitutes a key component of sustainable and livable cities, particularly in daily-life-oriented urban environments. However, prior research has often treated the impact of streetscape design on street vitality as a direct effect, paying limited attention to the perceptual and cognitive pathways through which physical environments shape commercial activity patterns and pedestrian behavior. Drawing on servicescape theory, this study investigates everyday streets within Wuhan’s Third Ring Road and integrates multiple sources of urban big data—including OpenStreetMap, Baidu Street View images, Dazhong Dianping platform data, and China Unicom signaling data—to construct and test a mediation model linking streetscape design, commercial satisfaction, and commercially driven everyday street vitality. The results indicate that moderate vertical complexity at the streetscape skeleton level enhances commercially driven everyday street vitality via higher commercial satisfaction, whereas excessive enclosure reduces pedestrian activity. At the streetscape skin level, natural elements and pedestrian infrastructure tend to foster vitality when effectively coupled with commercial functions. Among perceptual factors, perceived beauty emerges as the primary perceptual driver, while perceived safety appears to function primarily as a threshold condition. By extending servicescape theory to open urban street environments, this study identifies commercial satisfaction as a critical cognitive–affective nexus linking streetscape design to collectively expressed, consumption-oriented everyday street vitality. The findings offer planning-relevant insights for designing vibrant, human-centered everyday streets oriented toward routine urban consumption.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147607179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding Human-Centered Social Integration from Labor Migration Perspective: Evidence from China","authors":"Wen Fan,&nbsp;Yeting Fan,&nbsp;Xinyuan Liang","doi":"10.1007/s12061-026-09861-9","DOIUrl":"10.1007/s12061-026-09861-9","url":null,"abstract":"<div><p>Urban–rural integration constitutes a fundamental pillar of structural transformation in transitional economies, yet prevailing macro-urban bias has systematically undermined the accuracy, inclusiveness, and effectiveness of integration policy. Moving beyond the infrastructure-led paradigm, this study develops a human-centered social integration framework that reconceptualizes labor migration as the spatial reallocation of human capital. Exploiting the rich micro-level information on migrants’ socioeconomic circumstances, institutional positioning, and socio-psychological perceptions contained in the 2016 wave of the China Labor-force Dynamic Survey (CLDS), we employ logistic regression models to examine how this reallocation can achieve spatial optimization at lower political cost. Three findings emerge. First, rural–urban migrants have largely achieved spontaneous integration at the micro-level, with evolving neighborhood networks functioning as a catalyst for gradual social integration. Second, institutional dualism operates as a structural constraint that paradoxically reshapes integration trajectories: while the <i>hukou</i> system erects formal barriers to urban membership, it simultaneously fosters localized compensatory networks that facilitate integration along specific dimensions. Third, socio-psychological factors—including subjective socioeconomic status, perceived injustice, and sense of community belonging—exert heterogeneous effects across proactive, progressive, and multidimensional integration outcomes. Collectively, these findings underscore the imperative of transitioning from survival-oriented unilateral migration toward quality-driven integrative migration, offering theoretical and policy insights for advancing people-centered urbanization across the Global South.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147607114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}