@article{MTMT:35625161, title = {Integration Failure or Integration risk? Revisiting the Modality of Return Migration in China}, url = {https://m2.mtmt.hu/api/publication/35625161}, author = {Li, Zhigang and Yu, Le and Gao, Feifan and Cheng, Hanbei and Liu, Yuqi}, doi = {10.1007/s12061-024-09618-2}, journal-iso = {APPL SPAT ANAL POL}, journal = {APPLIED SPATIAL ANALYSIS AND POLICY}, volume = {18}, unique-id = {35625161}, issn = {1874-463X}, year = {2025}, eissn = {1874-4621}, pages = {Articlein press}, orcid-numbers = {Yu, Le/0009-0002-6343-9961} } @article{MTMT:36398911, title = {Interplay of Digital Economy and Real Economy. How to Integrate and What Drives it?}, url = {https://m2.mtmt.hu/api/publication/36398911}, author = {Wang, Shengpeng and Teng, Tangwei and Hu, Senlin and Pan, Yajun}, doi = {10.1007/s12061-025-09737-4}, journal-iso = {APPL SPAT ANAL POL}, journal = {APPLIED SPATIAL ANALYSIS AND POLICY}, volume = {18}, unique-id = {36398911}, issn = {1874-463X}, abstract = {The interplay between the digital economy (DE) and the real economy (RE) is crucial for the advancement of “Digital China”. This study employs the modified CRITIC method and the coupled coordination degree model to assess the integration dynamics between the DE and the RE over the period from 2013 to 2020. Employing geospatial analysis, this study analyzes the spatio-temporal characteristics and investigates determinants using geographically and temporally weighted regression (GTWR).This approach introduces the perspective of spatio-temporal heterogeneity, enriching our understanding of the mechanisms underpinning the effective integration between the DE and the RE. The main findings are as follows: (1) Integrated development has consistently improved, although pronounced disparities across provinces and regions persist. Notably, developed areas and the eastern coastal regions exhibit marked superiority. (2) Despite a narrowing of regional integration disparities, significant spatial heterogeneity remains, characterized by a progressive enhancement from west to east and a weak inverted U-shaped pattern in the north-south direction. Spatial agglomeration tendencies have strengthened, particularly with high-high clusters along the eastern coast. (3) The determinants influencing this integration display significant spatio-temporal heterogeneity. Technological innovation, policy environment, and spending power generally show positive influences, whereas openness tends to have a negative impact. Marketization and industrial structure exhibit substantial positive effects, primarily in the southeastern and eastern coastal regions. The importance of environmental dimensions is increasingly evident.}, keywords = {influencing factors; Digital economy; Real economy; GTWR; integrated development}, year = {2025}, eissn = {1874-4621} } @article{MTMT:36413796, title = {A Framework for Optimizing Open Spatial Data in Urban Planning and Policy Applications}, url = {https://m2.mtmt.hu/api/publication/36413796}, author = {Dewa, D.D. and Buchori, I.}, doi = {10.1007/s12061-025-09746-3}, journal-iso = {APPL SPAT ANAL POL}, journal = {APPLIED SPATIAL ANALYSIS AND POLICY}, volume = {18}, unique-id = {36413796}, issn = {1874-463X}, abstract = {Urban planning and policy development increasingly rely on open spatial data and analytical tools to address complex challenges such as rapid urbanization, climate change, and disaster risk. This study systematically reviews and classifies optimization methods applied to open spatial data, aiming to enhance its utility in urban planning and policy contexts. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, 77 peer-reviewed articles published between 2015 and 2025 were selected from an initial pool of 1,050 studies sourced from the Scopus database. The findings highlight that institutional datasets—both fully and partially open-access—and crowdsourced platforms, particularly OpenStreetMap (OSM), dominate as primary data sources. QGIS and Python emerge as the most frequently used analytical tools across a diverse range of urban applications. Building on the synthesis of the reviewed literature, this study introduces a five-dimensional optimization framework comprising functional, computational, data connectivity, participatory, and reproducibility dimensions, which collectively enable more adaptive, transparent, and collaborative approaches to urban spatial modeling. The framework offers practical guidance for leveraging open data in evidence-based urban planning and policymaking, ultimately contributing to more sustainable and resilient cities. © 2025 Elsevier B.V., All rights reserved.}, keywords = {DATABASE; Optimization; literature review; disaster; Systematic literature review; policy development; urban planning; urban planning; Spatial data; Geospatial optimization; Open spatial data; Policy applications; Spatial data framework}, year = {2025}, eissn = {1874-4621} } @article{MTMT:36456590, title = {Positive Changes in Urban Greenspaces and Ecological Security Patterns in the Late Stage of Urbanization in China: A Case Study of the Megacity Shenzhen}, url = {https://m2.mtmt.hu/api/publication/36456590}, author = {Li, Wanying and Wang, Jun and Luo, Yuan}, doi = {10.1007/s12061-025-09769-w}, journal-iso = {APPL SPAT ANAL POL}, journal = {APPLIED SPATIAL ANALYSIS AND POLICY}, volume = {18}, unique-id = {36456590}, issn = {1874-463X}, year = {2025}, eissn = {1874-4621} } @article{MTMT:36460254, title = {Integrating Multiscale Spatiotemporal Analysis for Supply-demand Relationships of Multiple Cultivated Land Functions in the Yangtze River Delta Region}, url = {https://m2.mtmt.hu/api/publication/36460254}, author = {Fan, Yeting and Liao, Zhongqi and Liang, Xinyuan and Zhang, Xiaolin and Gan, Le and Li, Ying and Wang, Junxiao}, doi = {10.1007/s12061-025-09738-3}, journal-iso = {APPL SPAT ANAL POL}, journal = {APPLIED SPATIAL ANALYSIS AND POLICY}, volume = {18}, unique-id = {36460254}, issn = {1874-463X}, abstract = {Understanding the supply-demand relationships (SDRs) of multiple cultivated land functions (CLFs) is crucial for achieving the sustainable utilization of cultivated land. This study aimed to construct a research framework that integrates quantitative evaluation, spatiotemporal evolution, regional differences, and type zoning for analyzing the multiscale SDRs of multiple CLFs. Taking the Yangtze River Delta region as an example, we quantified the supply and demand of three CLFs-agricultural production, ecological service, and landscape culture-along with their changes at grid, county, and prefecture-level city scales between 2000 and 2020. We then analyzed the spatiotemporal characteristics and differences in SDRs along urban-rural gradients and across cities of varying sizes. The results revealed both similarities and differences in the changes and SDRs of multiple CLFs at different spatial scales. The demand for all three CLFs consistently exceeded supply across multiple scales in economically developed areas. Supply deficit regions for all three CLFs were primarily concentrated 10-20 km from city centers. Megacities and supercities exhibited more significant and intensified supply deficits for these CLFs. Finally, we identified eight distinct SDR zones of multiple CLFs exhibiting different characteristics at different spatial scales that aimed to support decision-makers in promoting the sustainable utilization and management of cultivated land.}, keywords = {SYSTEM; geography; ecosystem services; REGIONAL DIFFERENCES; LANDSCAPE; FRAMEWORK; IMPACTS; environmental studies; Cultivated land functions; Supply-demand relationships; Multiscale spatiotemporal analysis}, year = {2025}, eissn = {1874-4621} } @article{MTMT:36344007, title = {Location Intelligence in Sport Tourism Economics: Temporal Evolution and Sectoral Variation of Bassmaster Elite Series Fishing Tournaments}, url = {https://m2.mtmt.hu/api/publication/36344007}, author = {Congelio, Bradley}, doi = {10.1007/s12061-025-09688-w}, journal-iso = {APPL SPAT ANAL POL}, journal = {APPLIED SPATIAL ANALYSIS AND POLICY}, volume = {18}, unique-id = {36344007}, issn = {1874-463X}, abstract = {This study examines the economic and spatial impacts of Bassmaster Elite Series fishing tournaments on host communities through a novel application of location intelligence data. Using Advan’s monthly patterns dataset from 2022–2024, visitation patterns, consumer behavior, and spatial dependencies are analyzed across multiple tournament locations in South Carolina. Our spatially aware difference-in-differences framework incorporates treatment intensity based on proximity to tournament venues and explicitly accounts for spatial autocorrelation effects. Results reveal significant increases in business activity near location of tournament sites, with spatial clustering (Moran’s I = 0.333, p < 0.001) that strengthens over time (2022: 0.122, 2023: 0.171, 2024: 0.203). Effects persist beyond the immediate tournament period, with statistically significant impacts observed up to three months post-event, particularly for hospitality, recreation, and retail sectors. Robustness checks using alternative distance specifications and placebo tests confirm the validity of our findings. This research advances the understanding of how professional fishing tournaments generate economic value through both direct spending and spatial spillovers, providing valuable insights for event organizers, destination marketers, and local policymakers. Our methodological approach demonstrates the utility of geo-behavioral data in quantifying the community-level impacts of sporting events beyond traditional economic impact assessments.}, year = {2025}, eissn = {1874-4621} } @article{MTMT:36395908, title = {Analysis of the Drivers of Farmers' Willingness To Exit Rural Homesteads from a Sustainable Livelihood Perspective}, url = {https://m2.mtmt.hu/api/publication/36395908}, author = {Zhang, YueDong}, doi = {10.1007/s12061-025-09709-8}, journal-iso = {APPL SPAT ANAL POL}, journal = {APPLIED SPATIAL ANALYSIS AND POLICY}, volume = {18}, unique-id = {36395908}, issn = {1874-463X}, abstract = {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.}, keywords = {URBANIZATION; EVOLUTION; geography; DEPENDENCE; CHINA; land-use; STRATEGIES; environmental studies; SETTLEMENTS; Livelihood capital; poverty vulnerability; Rural homestead; Geospatial resource endowment; GORGES RESERVOIR AREA}, year = {2025}, eissn = {1874-4621} } @article{MTMT:36425196, title = {Towards Realistic Assignments Between Residents and Urban Public Green Spaces by Considering the Recreational Quality}, url = {https://m2.mtmt.hu/api/publication/36425196}, author = {Ghavimi, Amirmohammad and Bonerath, Annika and Haunert, Jan-Henrik}, doi = {10.1007/s12061-025-09690-2}, journal-iso = {APPL SPAT ANAL POL}, journal = {APPLIED SPATIAL ANALYSIS AND POLICY}, volume = {18}, unique-id = {36425196}, issn = {1874-463X}, abstract = {Ensuring the quality of urban life necessitates the provision of urban public green spaces (UPGSs) in ample measure. These UPGSs serve as critical components of urban environments, contributing to the well-being and sustainability of cities. Hence, urban planners and decision-makers need to evaluate this supply. A recent method for such an evaluation is based on an optimal assignment between the residents and the UPGSs of an urban area. The method constrains the assignment such that the capacities of the UPGSs (i.e., the number of residents they can supply) are respected. These capacities are assumed to be proportional to size. In this study, we challenge and relax the prevailing assumption, redefining its constraints for a more accurate evaluation of UPGS capacities. We propose a novel approach for modeling the capacity of urban public green spaces (UPGS) by incorporating ten supplementary recreational criteria, including: responsiveness, safety and security, variety of activities, social interactions, residents’ perception, facilities, symbolic value, water body, aesthetic value, and connectivity, which we quantify using data derived from social media platforms. Our experiments show that the new model yields assignments that are more consistent with the actual use of UPGSs by residents. This innovative methodology allows us to gain deeper insights into the multifaceted aspects that influence the utilization and potential of UPGSs, paving the way for more informed and data-driven decision-making in urban planning and design.}, year = {2025}, eissn = {1874-4621}, orcid-numbers = {Ghavimi, Amirmohammad/0000-0003-0422-3810} } @article{MTMT:36378918, title = {Assessing Spatiotemporal Dynamics and Future Projections of Land Use Conflicts in Metropolitan Areas under Climate Change}, url = {https://m2.mtmt.hu/api/publication/36378918}, author = {Lu, Lingjun and Han, Xu and Zhu, Junjun and Lv, Ligang and Sui, Xueyan}, doi = {10.1007/s12061-025-09664-4}, journal-iso = {APPL SPAT ANAL POL}, journal = {APPLIED SPATIAL ANALYSIS AND POLICY}, volume = {18}, unique-id = {36378918}, issn = {1874-463X}, abstract = {The assessment of land use conflicts is essential for promoting sustainable regional development. Exacerbated by climate change, global land use conflicts require dynamic and scenario-specific predictions that remain notably underexplored. The Nanjing Metropolitan Area in China serves as a representative case in this study. An evaluation model for land use conflicts was developed from a landscape pattern perspective to examine the spatiotemporal variations in such conflicts between 2000 and 2020. The driving factors of these conflicts were analyzed using Geographically Weighted Regression (GWR) and a geodetector model. Furthermore, to simulate the spatiotemporal evolution of land use conflicts from 2030 to 2050, this study employed the advanced Patch-Generated Land Use Simulation (PLUS) model under three distinct climate scenarios: SSP1-2.6, SSP2-4.5, and SSP5-8.5. The findings reveal the following: (1) Between 2000 and 2020, land use conflicts were more intense in the north and less intense in the south, with the area of extreme conflict decreasing by 11.04%, reflecting an overall alleviation. (2) The basic pattern of land use conflicts was initially shaped by natural driving factors, with precipitation and evapotranspiration showing the highest correlation coefficients of 0.498 and 0.821, respectively, exerting a significant positive impact on the spatiotemporal evolution of these conflicts. Over time, the influence of socioeconomic factors, location factors, and national policies on land use conflicts has gradually increased. (3) By 2050, under the SSP1-2.6 scenario, extreme conflict is projected to decrease to just 1.92%, with significant mitigation. In the SSP2-4.5 scenario, conflicts will remain moderate, whereas in the SSP5-8.5 scenario, moderate conflicts will increase to 38.4%, indicating worsening tensions. The intensifying impacts of climate change and human activity are expected to exacerbate future land use conflicts. This study addresses the gap in research combining land use conflicts with climate scenarios and provides recommendations for optimizing land resource allocation in regions such as the Nanjing Metropolitan Area, alleviating human-environment tensions, and promoting sustainable land use.}, keywords = {RESOLUTION; geography; CHINA; Environment; ecosystem services; COVER; land management; environmental studies; PLUS model; Land use conflicts assessment; SSP-RCPs scenarios}, year = {2025}, eissn = {1874-4621} } @article{MTMT:35614717, title = {Spatial Autocorrelation Methods in Identifying Migration Patterns: Case Study of Slovakia}, url = {https://m2.mtmt.hu/api/publication/35614717}, author = {Pregi, L. and Novotný, L.}, doi = {10.1007/s12061-024-09615-5}, journal-iso = {APPL SPAT ANAL POL}, journal = {APPLIED SPATIAL ANALYSIS AND POLICY}, volume = {18}, unique-id = {35614717}, issn = {1874-463X}, year = {2025}, eissn = {1874-4621} }