Applied Spatial Analysis and Policy最新文献

{"title":"Effects of the Built Environment on Dockless Bike-sharing Usage Based on TabPFN-GWR: Evidence from Shenzhen","authors":"Ying Chen,&nbsp;Jierong Long,&nbsp;Jiaxun Zhu,&nbsp;Lu Ou,&nbsp;Haoxiang Lin,&nbsp;Haoye Liu","doi":"10.1007/s12061-026-09971-4","DOIUrl":"10.1007/s12061-026-09971-4","url":null,"abstract":"<div><p>Dockless bike sharing (DBS) is an important component of urban shared micromobility that helps bridge the last-mile gap to public transport, supporting short-distance daily travel, and advancing low-carbon urban mobility. Using four representative districts in Shenzhen as the study area, this paper defines 500 m × 500 m grid cells as spatial analysis units and integrates DBS orders with Baidu heatmap data, road networks, public transport facilities, buildings, and land-use data. A residual correction framework combining Tabular Prior-Data Fitted Network (TabPFN) and geographically weighted regression (GWR), hereafter TabPFN-GWR, is applied to examine how built-environment conditions are associated with weekday and weekend DBS usage and to diagnose local spatial deviations that may require planning responses. The findings show that TabPFN-GWR improves predictive performance over standalone TabPFN, with R² values rising to 0.698 for weekdays and 0.716 for weekends. Local surrogate results indicate that Baidu heatmap density is the dominant local predictor in most grid cells, while road density, building count, metro station presence, industrial land-use share, and land-use mix further explain spatial differences in DBS usage. PDP results show that Baidu heatmap density, road density, building count, and land-use mix are positively associated with predicted DBS usage, whereas industrial land-use share exerts a persistent negative effect and metro station presence provides clear feeder benefits. The findings suggest that DBS planning should move beyond uniform fleet deployment toward area-based governance: improving non-motorized transport connectivity in poorly connected areas, organizing parking and transfers around transit nodes, adopting differentiated dispatching for commercial, residential, and industrial districts, and designating residual clusters as priority areas for field inspection and fine-grained spatial management.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148751247","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":"Digital Human Capital And Return Migrant Entrepreneurship: Unraveling The Serial Mediating Role of Information Acquisition And Opportunity Identification","authors":"Yongsong Long,&nbsp;Ye Ma,&nbsp;Jianhong Fan,&nbsp;Da Liu","doi":"10.1007/s12061-026-09963-4","DOIUrl":"10.1007/s12061-026-09963-4","url":null,"abstract":"<div><p>Digital access, as an alternative resource for human capital growth, exerts a profound influence on return migrant entrepreneurship in developing regions globally, empowering entrepreneurs to adapt and thrive digitally. Although digital human capital is recognized as pivotal for return migrant entrepreneurship, how return migrants leverage accumulated skills during entrepreneurship remains a pressing concern. Using China Family Panel Studies (CFPS) data (2018–2020), we examine the effect of digital access on entrepreneurship, incorporating mediating effects of entrepreneurial opportunity mechanisms. We find that digital access significantly enhances entrepreneurial behaviors in developing areas. Accumulated digital human capital significantly strengthens both the capability of entrepreneurial information acquisition and opportunity identification, which in turn independently boosts return migrants’ entrepreneurial behaviors. Concurrently, digital access exerts an influence on return entrepreneurial behaviors through a sequential process-digital access first enhances information acquisition capability, then improves opportunity identification capability, and ultimately increases return entrepreneurial behaviors-that remains robust after conducting sensitivity tests. Furthermore, digital access demonstrate varying levels and manners of influence on necessity and opportunity return migrant entrepreneurship. While digital access significantly facilitates both, the former hinges predominantly on opportunity identification, and the latter relies on information acquisition. Our analysis reveals how return migrants harness digital democratization-particularly information access and opportunity recognition-to navigate evolving entrepreneurial landscapes. This study enriches theoretical understanding of digital access’ impacts and provides policy-calibrated pathways for rural revitalization in the digital era.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148751251","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 Nexus of Creativity and Technology: A Spatial Analysis of Urban Firm Location","authors":"Carles Méndez-Ortega","doi":"10.1007/s12061-026-09965-2","DOIUrl":"10.1007/s12061-026-09965-2","url":null,"abstract":"<div><p>Software and video game (SVE) firms are hybrid creative–tech activities that combine digital technologies with culturally embedded forms of production. However, existing research on firm location has largely focused on regional scales or treated creative and high-tech industries separately, providing limited evidence on the intra-urban distribution of hybrid sectors. This paper addresses this gap by analysing neighbourhood-level associations and cross-neighbourhood spatial patterns related to SVE firm entries in Barcelona. Using firm-level administrative data and neighbourhood indicators for the period 2017–2019, we estimate count-data models and spatial econometric specifications, including Spatial Lag of X (SLX) and Poisson Spatial Autoregressive (P-SAR) models, to examine local associations and inter-neighbourhood dependence. The results indicate that SVE firm entries are positively associated with pre-existing agglomeration, digitally active urban environments, creative diversity, and human-capital-related indicators, whereas higher reported crime levels are associated with fewer entries. The spatial estimations further indicate that some of these associations extend across adjacent neighbourhoods. These findings contribute to research on the micro-spatial distribution of hybrid creative–tech firms within urban environments and provide evidence relevant to place-based analyses of firm location.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148751248","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":"Temporal Regimes of Environmental Sustainability in G7 Countries: A Causal Decision Support Framework Based on MiniROCKET","authors":"Fatih Keskinkılıç,&nbsp;Mücahit Ülger","doi":"10.1007/s12061-026-09923-y","DOIUrl":"10.1007/s12061-026-09923-y","url":null,"abstract":"<div><p>This study examines the temporal dynamics of environmental sustainability in G7 countries and evaluates how dominant temporal transformation regimes are associated with different environmental sustainability indicators. Existing studies on environmental sustainability in advanced economies have largely focused on individual indicators, particularly CO₂ emissions, or on average relationships estimated through conventional empirical models. However, sustainability transformation is multidimensional and may differ across production-based emissions, consumption-based ecological pressure, and ecosystem carrying capacity. To address this gap, this study analyzes annual data for G7 countries over the 1997–2021 period using three complementary indicators: CO₂ emissions, Ecological Footprint, and Load Capacity Factor. The study develops an integrated decision-support framework that combines MiniROCKET-based temporal feature extraction, Principal Component Analysis, and Double Machine Learning. First, macroeconomic, demographic, technological, energy-related, and environmental variables are transformed into high-dimensional temporal features using MiniROCKET. Second, PCA is used to reduce these features into dominant temporal components. Third, DML is applied to estimate the average and country-specific heterogeneous associations between the dominant temporal regime and the three environmental indicators. In the main specification, PC1 is used as the treatment variable, while PC2–PC5 are included as control components. Robustness checks include an alternative PC1–PC2 treatment definition, alternative nuisance learners, bootstrap confidence intervals, and placebo treatment tests. The PCA results show that the first five components explain approximately 89.92% of the total MiniROCKET-based temporal feature variance, indicating that G7 sustainability dynamics can be summarized by a limited number of dominant temporal structures. The main DML results indicate negative directional associations between the dominant temporal regime and all three environmental indicators. The strongest association is observed for CO₂ emissions, followed by Ecological Footprint and Load Capacity Factor. However, bootstrap confidence intervals include zero; therefore, the findings should be interpreted as indicative and decision-support-oriented evidence rather than definitive causal proof. Country-specific CATE results reveal substantial heterogeneity across G7 countries. Italy displays the strongest negative CATE values for both CO₂ emissions and Ecological Footprint, while the United Kingdom shows positive CATE values for these indicators. LCF effects remain close to zero across countries. These findings suggest that G7 sustainability policies should be country-specific and indicator-sensitive, integrating emission reduction, responsible consumption, circular economy practices, supply-chain transparency, and ecosystem-capacity-enhancing measures.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-026-09923-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148750928","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":"Do Urban Greenway Soundscapes Influence Public Cycling Preferences? Evidence From Street View Imagery","authors":"Congying Fang,&nbsp;Ming Gao","doi":"10.1007/s12061-026-09966-1","DOIUrl":"10.1007/s12061-026-09966-1","url":null,"abstract":"<div><p>Urban greenways are increasingly promoted as key infrastructures for active mobility. However, the perceptual dimensions that shape cycling behavior along these corridors remain insufficiently understood. While prior research has predominantly focused on built environment attributes, the role of soundscape as an experiential and behavioral driver has received limited empirical attention. This study integrates crowdsourced trajectory data, street-level imagery, and machine learning techniques to examine the relationship between multidimensional soundscape features and cycling preferences along urban greenways, employing interpretable models to uncover underlying nonlinear mechanisms. The results indicate that soundscape attributes such as sound quality, eventfulness, and traffic noise exert significant yet nonlinear influences on cycling volume, suggesting that the relationship between acoustic conditions and cycling activity is more complex than a simple linear reduction in noise. By conceptualizing soundscape as an actionable perceptual resource rather than merely a noise-control issue, this study advances urban greenway research from physical performance evaluation toward experiential mobility planning. The findings provide quantitative evidence for integrating soundscape-oriented interventions into bicycle-friendly urban design, offering a cost-effective approach for promoting sustainable active travel.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148750508","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":"Behavior-Calibrated Spatial Accessibility and Hospital Choice: Evidence from Paired Tertiary Hospital Inpatient Data for Respiratory Conditions in Wuhan","authors":"Jingjing Wang,&nbsp;Hao Wu,&nbsp;Yang Zhao","doi":"10.1007/s12061-026-09959-0","DOIUrl":"10.1007/s12061-026-09959-0","url":null,"abstract":"<div><p>Amid China’s ongoing urban transformation, the rational spatial distribution of hospitals as critical public service infrastructure is central to promoting equity and improving healthcare accessibility. However, empirical evidence on how accessibility contributes to predicting hospital choice at the individual level—particularly through nonlinear distance effects—remains limited. Adopting a behavior-oriented perspective, this study examines hospital choice within a constrained setting, specifically focusing on inpatient decisions for respiratory conditions between two tertiary (Class 3 A) hospitals in Wuhan that are geographically proximate and comparable in institutional attributes. Using inpatient records and a behavior-calibrated interpretation of spatial accessibility, we integrate explainable machine learning with geospatial and environmental data to identify distinct distance-response regimes governing patient decision-making, rather than assuming uniform distance decay. The results indicate that spatial distance shows the strongest association with hospital selection but operates through threshold-based behavioral switching, with marked transitions occurring at specific distance intervals. Embedding these behavior-derived distance thresholds into a Two-Step Floating Catchment Area (2SFCA) framework, the study refines conventional accessibility assessment by explicitly accounting for both population demand and hospital resource availability. Spatial analysis shows that greater medical resource abundance significantly attenuates distance sensitivity, highlighting the context-dependent nature of spatial friction in healthcare utilization. By linking individual choice behavior with accessibility modeling, this study advances a behavior-calibrated framework for assessing healthcare accessibility. The findings provide applied insights for optimizing medical facility planning and resource allocation, particularly in rapidly urbanizing contexts where conventional distance-based assumptions may misrepresent actual patterns of healthcare use.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148628608","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":"Intra-urban Amenities and the Spatial Emergence of High-tech Employment: A Firm-centred Analysis of Guangzhou, China","authors":"Jili Xu,&nbsp;Run Shi,&nbsp;Xingjian Liu,&nbsp;Teng Zhong","doi":"10.1007/s12061-026-09960-7","DOIUrl":"10.1007/s12061-026-09960-7","url":null,"abstract":"<div><p>By developing a firm-centred framework that links the supply of employment opportunities with the demand for urban amenities, this study examines how surrounding intra-urban amenities shape emerging high-tech employment in Guangzhou, China. Drawing on original firm-level survey data, street-view imagery, and point-of-interest (POI) datasets, and combining interpretable machine learning with statistical and causal analyses, the study investigates the directionality and heterogeneity of amenity-employment relationships at the firm scale. The finding shows that urban amenities are important drivers of the spatial emergence of high-tech employment in Guangzhou, lending support to the “jobs follow people” argument in this context. However, these causal relationships are highly differentiated across amenity subcategories and firm groups. Constructed and green amenities exert positive causal influences, whereas commercial amenities negatively affect the emergence of high-tech employment; public service amenities show no significant causal effects. By foregrounding firm-centred supply-demand interactions and locally specific urban contexts, this research advances a more nuanced understanding of the spatial interplay between intra-urban amenities and emerging high-tech employment.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148628519","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":"Multi-Source Enterprise Data for Fine-Grained Industrial Cluster Delineation: A Spatial–Network Analysis with Policy Implications in the GBA","authors":"Youwei Tan,&nbsp;Jiayun Li,&nbsp;Zhihui Gu","doi":"10.1007/s12061-026-09964-3","DOIUrl":"10.1007/s12061-026-09964-3","url":null,"abstract":"<div><p>Identifying industrial clusters and tracing the evolution of their internal industrial chains are critical for both cluster theory and regional spatial planning. Existing cluster-identification studies have advanced from statistical classifications and input–output tables to interaction-based industrial networks. However, broad-coverage and cross-jurisdictionally comparable enterprise-level approaches remain limited, especially in metropolitan regions with heterogeneous data regimes. Focusing on the electronic information industry cluster in the Guangdong–Hong Kong–Macao Greater Bay Area (GBA), this study develops an enterprise-level, multi-source identification framework that combines semantic parsing of firm descriptions, neural-network-based industry classification, and industrial linkage network modeling. We dynamically delineate cluster boundaries and construct a cluster network knowledge graph. Comparative validation against prevailing cluster typologies indicates a high overall consistency, while the proposed framework further enriches the representation of value-chain segments and convergent industries that are insufficiently captured by existing classification systems. Empirically, the GBA cluster exhibits pronounced spatial–relational heterogeneity: some knowledge-intensive industry co-agglomerate geographically, whereas others maintain strong functional linkages despite spatial dispersion, suggesting functional complementarity beyond mere geographic proximity. The proposed approach provides a reusable pathway for fine-grained identification and dynamic monitoring of metropolitan clusters, and offers evidence to inform cross-jurisdictional coordination and pre-evaluation in industrial spatial governance.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148615071","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":"Digital Governance Gains from the Belt and Road Initiative: The Roles of Financial Institutions and Structural Transformation","authors":"Shuangyan Li,&nbsp;Saif Ullah,&nbsp;Muhammad Waleed Younas","doi":"10.1007/s12061-026-09957-2","DOIUrl":"10.1007/s12061-026-09957-2","url":null,"abstract":"<div><p>The Belt and Road Initiative (BRI) has reshaped global economic cooperation, yet its implications for national digital governance remain unclear. This study examines whether participation in the BRI improves digital governance capacity, as measured by the E-Government Development Index (EGDI), using a panel of 193 countries from 2003 to 2024. Exploiting the staggered rollout of BRI participation, we employed a difference-in-differences (DID) framework to estimate its effect on digital governance. The study finds that BRI participation significantly improves EGDI, with gains concentrated in telecommunications infrastructure rather than across all dimensions of digital governance. Mechanism analyses suggest that financial institutional development and industrial structural transformation act as transmission channels, jointly accounting for approximately 21% of the estimated effect. Heterogeneity analyses reveal stronger effects among early participants, upper-middle- and high-income economies, and geographically proximate countries, highlighting the role of absorptive capacity. Additionally, spatial analyses indicate that governance improvements are associated with peer policy diffusion rather than geographic spillovers. These findings contribute to research on international development cooperation by demonstrating how infrastructure-based initiatives can support the transformation of digital governance and inform inclusive development strategies.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614198","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 Long-Term Allocation Level and its Influencing Factors of Compulsory Education Resources in China","authors":"Shumin Zhang,&nbsp;Jiachen Liu,&nbsp;Baolei Zhang","doi":"10.1007/s12061-026-09958-1","DOIUrl":"10.1007/s12061-026-09958-1","url":null,"abstract":"<div><p>The balanced allocation of educational resources is a key path to promoting educational equity and achieving high-quality development. In this research, a compulsory education resource allocation index system consisting of 10 factors from three dimensions of material resources, financial resources, and human resources is constructed based on resource dependency theory. The Moran’s I and Dagum Gini coefficient decomposition method are used to empirically examine the provincial differences of compulsory education resource allocation level (CERAL) from 2013 to 2022 in China, and an XGBoost-SHAP model is used to identify the influencing factors of CERAL. The results indicate that the overall CERAL in China is relatively low, with significant variations among provinces. Spatially, the eastern region exhibits the highest CERAL values, followed by the western region, whereas the central region records the lowest levels. The regional difference Gini coefficient for CERAL stands at 0.263, close to the warning threshold of 0.3. Interregional gaps between the eastern and central zones, as well as the northern and southern zones, are especially prominent. Non-agricultural economic development and fiscal decentralization exert dominant positive effects on CERAL, whereas educational investment intensity and school-age population size serve as primary restraining factors. This research advances theoretical insights into the spatial patterns and driving mechanisms underlying equitable educational resource distribution across China, and delivers solid empirical evidence for designing evidence-based, operable policy frameworks to advance the high-quality development of compulsory education nationwide.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614656","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}