Applied Spatial Analysis and Policy最新文献

{"title":"Burden of Multidimensional Poverty and its Determinants in India across Social Categories: Evidence from National Family Health Survey","authors":"Bapan Biswas,&nbsp;Kaushal Kumar Sharma","doi":"10.1007/s12061-025-09717-8","DOIUrl":"10.1007/s12061-025-09717-8","url":null,"abstract":"<div><p>The United Nations’ primary Sustainable Development Goal (SDG) aims to eradicate extreme poverty in all its forms by 2030. Traditionally, poverty has been measured using monetary metrics; however, the Oxford Poverty and Human Development Initiative (OPHI) introduced the Multidimensional Poverty Index (MPI) to provide a more comprehensive perspective. Despite its importance, research on multidimensional poverty remains limited, particularly at the community level. This study utilizes data from the 5th round of the National Family Health Survey (NFHS) to examine the specific deprivations and spatial variations of multidimensional poverty across India, with a focus on social category specific disparities. The findings reveal that Scheduled Tribes (ST) and Scheduled Castes (SC) experience the highest levels of deprivation in health, education, and living standards, with ST category facing the most severe challenges. Despite various government initiatives, a significant proportion of tribal households still lack access to clean cooking fuel and adequate housing. Logistic regression analysis identifies key determinants of multidimensional poverty, including household head characteristics, household size, and factors such as the presence of young children, tuberculosis, and disability. Additionally, decomposition analysis highlights wealth, education, and health as the most significant contributors to multidimensional poverty. These findings highlight persistent inequalities affecting marginalized social categories and emphasize the need for targeted policy interventions. Implementing social category-specific strategies is crucial for addressing disparities and ensuring that poverty eradication efforts align with the SDGs.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144918530","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":"Tracing Tourists’ Digital Footprint: Unveiling the Spatio-Temporal Patterns of Tourist Flows in Tibet, China","authors":"Tiantian Pang,&nbsp;Zhenjun Qin,&nbsp;Dan Yan","doi":"10.1007/s12061-025-09713-y","DOIUrl":"10.1007/s12061-025-09713-y","url":null,"abstract":"<div>\u0000 \u0000 <p>Spatio-temporal patterns of tourist flow can effectively illustrate the movements of tourists and play an important role in guiding the planning and management of tourist destinations. This study proposes a novel multi-scale analytical framework that combines spatio-temporal analysis and social network analysis to examine these patterns in Tibet, based on digital footprint data. Results revealed that tourist flows in Tibet exhibit a distinct hub-and-spoke pattern, characterized by high-frequency corridors connecting major destinations. Seasonal fluctuations are notable, with visitor volumes peaking in the third quarter and declining sharply during winter, especially in remote areas. Social network analysis identified prominent core nodes, Potala Palace, Namtso Lake, and Barkhor Street, serving as central hubs with strong radiative influence. In contrast, edge nodes attract more specialized tourist segments. This core–periphery structure underscores the spatial imbalance in tourism resource distribution, offering critical insights for targeted regional planning and balanced tourism development. These insights have practical applications in tourism planning in Tibet, thereby providing indispensable support for the sustainable development of tourism in plateau regions.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880882","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":"A Spatial Assessment of Urban Welfare Facility Supply: Integrating Accessibility, Equity, and Demand for Daycare Centers and Senior Welfare Facilities","authors":"Hee-Soo Hwang,&nbsp;Seunghyun Jung","doi":"10.1007/s12061-025-09705-y","DOIUrl":"10.1007/s12061-025-09705-y","url":null,"abstract":"<div><p>This study presents an innovative grid-based micro-spatial framework that fundamentally transforms welfare facility assessment by integrating distribution equity, accessibility, and supply adequacy—moving beyond traditional administrative boundary limitations. While existing approaches analyze demand, supply, and accessibility as discrete components within administrative units, our methodology employs a 500 m × 500 m grid system that captures intra-regional disparities invisible to conventional analyses. Using Cheonan, South Korea, as a case study, we demonstrate how the Enhanced Two-Step Floating Catchment Area (E2SFCA) method, combined with network analysis, reveals critical service gaps that single-metric evaluations miss. Our findings show that areas with high distribution equity may still suffer from poor accessibility, while accessible facilities may lack adequate capacity—patterns that emerge only through integrated multi-dimensional analysis. By applying differentiated mobility thresholds, this framework addresses age-specific service needs within Korea’s rapidly aging demographic context. The standardized comparison across 31 administrative areas using Z-scores quantitatively identifies underserved populations and distinguishes between supply shortages and accessibility barriers. This methodological innovation provides urban planners with a comprehensive diagnostic tool for developing spatially differentiated policies that ensure both equity and efficiency in welfare service provision, particularly crucial for addressing the urban-rural divide in aging societies.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144868920","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":"Correction to: Impact of Traffic Disruptions on Road Network Accessibility and Vulnerability in Inner Campania Areas","authors":"Tahseen Bashir,&nbsp;Angela Stefania Bergantino,&nbsp;Gianmarco Troiani,&nbsp;Gaetano Falcone,&nbsp;Anna d‘Onofrio,&nbsp;Francesca Pagliara","doi":"10.1007/s12061-025-09714-x","DOIUrl":"10.1007/s12061-025-09714-x","url":null,"abstract":"","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-025-09714-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144832302","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":"Analysis of Tourist Behavior Patterns and Perceptions in Beijing Based on User-Generated Content Data","authors":"Xiaohang Li,&nbsp;Tong Yang,&nbsp;Bin Meng,&nbsp;Siyu Chen,&nbsp;Shuying Zhang","doi":"10.1007/s12061-025-09712-z","DOIUrl":"10.1007/s12061-025-09712-z","url":null,"abstract":"<div><p>Understanding tourist behavioral patterns and perceptual preferences is crucial for effective destination management and sustainable tourism development. This study proposes an analytical framework integrating spatial, temporal, and semantic information to analyze tourist behavior patterns and perceptual preferences using user-generated content (UGC) data from Sina Weibo, with Beijing as a case study. The results reveal that 54 tourist hotspots were identified using the ST-DBSCAN clustering method, uncovering spatial distribution characteristics where tourism attractions are concentrated in the central city area and dispersed in suburban areas. Five types of tourist travel path patterns were recognized, with seasonal fluctuations influenced by the interaction of holiday duration and climatic conditions. Tourist visitation volumes also exhibited significant seasonal variations, peaking in summer and autumn while declining in winter due to cold weather conditions. Semantic analysis results indicate that changes in high-frequency words reveal differences in the temporal variation of attraction appeal across different types of tourist attractions. BERTopic modeling extracted five major themes and 37 subtopics, reflecting the diversity of tourist preferences. This study provides scientific guidance for tourism destination management in Beijing and validates the proposed framework’s applicability in problem identification and decision support.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144832301","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":"Spatio-Temporal Evolution of Green Technology Innovation Networks and its Proximity Mechanism in the Context of Digital Transformation: The Case of Yangtze River Delta in China","authors":"Danya Cheng,&nbsp;Senlin Hu,&nbsp;Gang Zeng","doi":"10.1007/s12061-025-09685-z","DOIUrl":"10.1007/s12061-025-09685-z","url":null,"abstract":"<div><p>To explore the multidimensional proximity mechanism of green technology innovation networks in the context of digital transformation, this paper incorporates “digital proximity” into the multidimensional proximity framework. Based on spatial interaction principle and negative binomial regression model, this study illustrates the structural characteristics and analyzes proximity mechanisms of green technological innovation networks among 41 cities in the Yangtze River Delta region of China. The results provide evidence that “digital proximity” has a substitution effect with geographic proximity and institutional proximity, a complementary effect with social proximity, and a non-significant interaction effect with technological proximity. Compared to the below average “digital proximity”, the above average can significantly promote inter-city green technology innovation cooperation, and the interaction effects with traditional multidimensional proximity are more significant. The findings call for peripheral cities to enhance their network position in the regional green technology innovation system by strengthening their “digital proximity” to core cities.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814373","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":"Analysis of the Drivers of Farmers’ Willingness To Exit Rural Homesteads from a Sustainable Livelihood Perspective","authors":"YueDong Zhang","doi":"10.1007/s12061-025-09709-8","DOIUrl":"10.1007/s12061-025-09709-8","url":null,"abstract":"<div><p>Based on the perspective of sustainable livelihoods, this study constructs a two-dimensional analysis framework of ‘livelihood capital-geospatial resource endowment’, combines this framework with data from the 2020–2022 land economic survey of Jiangsu Province, China, and adopts the combined machine learning approach of Random Forest and SHAP to systematically explore the decision-making mechanism underlying farmers’ paid withdrawal from rural homesteads. The study reveals that: (1) Geospatial resource endowment exerts a significantly stronger influence than livelihood capital on explaining farmers’ willingness to withdraw; (2) The drivers exhibit an effect characterized by ‘low promotion, high inhibition’; (3)There is heterogeneity in interaction strength across different indicator categories,, and complex synergistic relationships exist among the drivers.This study proposes a spatially differentiated governance approach for rural homesteads based on regional resource endowments. Implementing property-based utilization strategies can enhance resource efficiency while preserving farmers’ ownership rights. Moving beyond the conventional single-capital paradigm, this study offers theoretical and practical insights for rural homestead reform in developing countries seeking context-specific governance pathways.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810879","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":"Exploring the Impact of Park and Surrounding Environments on Violent Crime in Wuhan: An XGBoost-SHAP Approach","authors":"Sainan Lin,&nbsp;Shudi Chen,&nbsp;Kaidi Liu,&nbsp;Yao Yao","doi":"10.1007/s12061-025-09710-1","DOIUrl":"10.1007/s12061-025-09710-1","url":null,"abstract":"<div>\u0000 \u0000 <p>Violent crime poses a significant barrier to the equitable use of urban park amenities and access to their associated benefits. While machine learning has emerged as a promising tool for exploring the relationship between park environments and crime, the opaque nature of many models has hindered insights into underlying mechanisms. Moreover, most existing studies have concentrated on parks in central urban areas, overlooking peri-urban parks that increasingly serve expanding metropolitan populations. To address these gaps, this study employs an interpretable machine learning approach, XGBoost with SHAP values, to examine how the environments of both urban and peri-urban parks in Wuhan, China, influence violent crime. We assess four domains of contextual variables: accessibility, built environment, land use, and socioeconomic conditions. Results indicate that while violent crime rates are generally higher in urban parks, park location itself is not a significant standalone predictor. Both accessibility and built environment factors demonstrate nonlinear and context-sensitive associations with violent crime. Despite the potential of environmental design in crime prevention, disadvantaged neighborhoods remain disproportionately affected by unsafe park conditions. These findings highlight the need for place-sensitive planning strategies and demonstrate the value of interpretable machine learning in advancing spatial crime analysis.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810910","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":"Modeling Shelter Accessibility with Rational Agent Accessibility Model (RAAM): A Case Study of Northwest Florida","authors":"Samuel Takyi,&nbsp;Jacob Nchagmado Tagnan,&nbsp;Eren Erman Ozguven,&nbsp;Mark Horner,&nbsp;Ren Moses","doi":"10.1007/s12061-025-09708-9","DOIUrl":"10.1007/s12061-025-09708-9","url":null,"abstract":"<div>\u0000 \u0000 <p>Northwest Florida, with its rural landscapes and proximity to large water bodies, faces significant risks from natural disasters such as hurricanes and tropical storms. This study introduces the Rational Agent Accessibility Model (RAAM), an advanced spatial modeling framework, to evaluate the accessibility of hurricane shelters for disaster-affected communities within a Geographic Information System (GIS) environment. RAAM improves upon traditional methods by incorporating dynamic variables such as travel time, congestion, and evolving roadway conditions, offering a more realistic assessment of accessibility challenges. The model simulates individual decision-making and behavioral responses to shelter conditions, focusing on how efficiently rural inland and coastal populations can access shelters during emergencies. Unlike Floating Catchment Area (FCA) models, RAAM captures competitive interactions and adaptive route choices, allowing for more precise measurement of accessibility under disaster scenarios. Results show that rural inland counties like Liberty, Calhoun, and Gadsden exhibit the lowest accessibility due to sparse populations and limited transportation infrastructure, while urbanized and coastal counties such as parts of Leon, Bay, and Gulf show higher accessibility supported by better shelter availability and improved road network connectivity. RAAM scores were calculated and visualized at both block group and tract levels, providing localized and regional insights into spatial disparities. The study highlights RAAM’s strength in pinpointing spatial disparities and guiding data-driven infrastructure planning. These insights assist emergency planners in optimizing evacuation routes, reducing travel times, and enhancing disaster preparedness. Ultimately, the findings support the creation of more resilient and equitable emergency response strategies for at-risk communities in Northwest Florida.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163650","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":"How Nature Reserve Policies in China Support Local and Peripheral Biodiversity: Evidence from the INVEST-SDID Model","authors":"Daozheng Li,&nbsp;Diling Liang,&nbsp;Weifeng Deng,&nbsp;Guoen Wei,&nbsp;Tongning Li","doi":"10.1007/s12061-025-09694-y","DOIUrl":"10.1007/s12061-025-09694-y","url":null,"abstract":"<div><p>Biodiversity loss is a critical challenge globally, and protected areas (PAs) has been established as an important policy tool for conservation. However, doubts exist regarding their effectiveness, and their policy effects and spatial spillover effects on surrounding areas are poorly understood. To address this, this study evaluated the effectiveness of Heilongjiang Nanwenghe National Nature Reserve (HNNNR) in China by using a combination of InVEST model, the DID and SDID models. The study covers a time span of approximately 31 years (1990–2020) and is divided into two periods (1990–1999 and 1999–2020), which allows for the assessment of the effects of nature reserves in the region. First, based on remote sensing techniques and InVEST model, we assessed the habitat quality in HNNNR and Non-reserve. Then, we implemented the DID model to evaluate the policy effects of HNNNR. Finally, with the existence of spatial spillover effects proven by the spatial econometric model, we adopted and improved the SDID model. This was adopted to evaluate the policy effects and spatial spillover effects of the establishment of HNNNR on the surrounding area and itself. We compared the results of the DID and SDID models and found that: (1) The establishment of the Heilongjiang Nanwenghe National Nature Reserve (HNNNR) has improved habitat quality both inside and outside the reserve, and the cumulative improvement in habitat quality is greater in the non-reserve area than within the reserve itself; (2) The core zone within the reserve showed the most significant improvement in habitat quality, while the buffer zone showed the least improvement; (3) The improvement of habitat quality in non-reserve was contributed by the policy spatial spillover effects, where the buffer zone has the strongest spillover benefits to the non-reserve, but the core zone has the weakest spillover effects to the non-reserve. Our results show the beneficial impact of a nature reserve for improving habitat quality in and around the nature reserve. This study provides a quantitative paradigm for assessing the conservation effectiveness of PAs across temporal and spatial scales. As an improved model, this would be pivotal for decision-makers in the management of existing PAs and the establishment of new PAs in future.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162855","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}