Applied Spatial Analysis and Policy最新文献

{"title":"Shifting from Production to Consumption: Stage-Specific Transition Pathways and Driving Mechanisms of Rural Production Space System in Chongqing, China","authors":"Yuting Zhang,&nbsp;Guishan Cheng,&nbsp;Haojian Dou,&nbsp;Xiaoyan Lei,&nbsp;Zhenglin Wang,&nbsp;Yuhan Wang,&nbsp;Cheng Wang","doi":"10.1007/s12061-026-10033-y","DOIUrl":"10.1007/s12061-026-10033-y","url":null,"abstract":"<div><p>Rapid globalization and urbanization have triggered profound transformations in Rural Production Space System (RPSS), driving its functional orientation from production dominance to consumption dominance. Exploring this transformation process and analyzing its complex driving mechanisms can provide theoretical references for understanding rural transformation in the mountainous and hilly areas of southwestern China as well as in similar regions worldwide, and are of great significance for achieving the Sustainable Development Goals (SDGs). This study develops a theoretical analytical framework for RPSS transformation from production to consumption. Taking Chongqing as the study area, and based on the evaluation of production and consumption levels of RPSS, the Tapio decoupling model and the GPI model are employed to identify the transformation types of RPSS and to reveal driving mechanisms. The results show that: (1) The production and consumption levels of the RPSS in Chongqing exhibited a trend of coordinated growth, with high-value areas of the production level concentrated in the Western Chongqing Region, while high-value areas of the consumption level were mainly located in central urban areas; (2) From 2013 to 2022, RPSS transformation in Chongqing was dominated by the consumption-led growth type and exhibited distinct stage-based changes, with consumption-led growth type prevailing from 2013 to 2017, and the proportions of production-led growth type and balanced growth type increasing from 2017 to 2022; (3) County-level fiscal capacity is the core factor influencing the spatial differentiation of RPSS transformation, and the driving factors of different transformation types exhibit significant differences and interaction effects.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132384","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":"Spatial Associations Between the Neighborhood Built Environment and Mental Health: Evidence from Tehran","authors":"Pouria Boujari,&nbsp;Mojtaba Shahabi Shahmiri","doi":"10.1007/s12061-026-10028-9","DOIUrl":"10.1007/s12061-026-10028-9","url":null,"abstract":"<div><p>Built environments influence mental health, yet evidence on how different dimensions of urban form relate to specific mental health outcomes remains mixed, particularly in high-density cities. This study examined these relationships in Tehran, Iran, while accounting for spatial dependence and exploring spatial heterogeneity. Using secondary neighborhood-level data from 356 neighborhoods, five mental health outcomes—anxiety, depression, social dysfunction, somatic symptoms, and overall psychological distress—were analyzed in relation to the built environment. Ordinary Least Squares (OLS), Spatial Durbin Models (SDM), and Geographically Weighted Regression (GWR) were employed to assess global associations, spatial spillover effects, and localized spatial variation. The findings indicate that residential density emerged as the built-environment characteristic most consistently associated with poorer mental health, whereas population density showed no significant direct association with any mental health outcome. Access to daily services were associated with lower somatic symptoms and social dysfunction. Anxiety and depression were explained mainly by neighborhood socio-demographic characteristics, particularly unemployment and neighborhood age structure. Spatial spillover effects were identified only for social dysfunction, while exploratory GWR analyses indicated that neighborhood–mental health associations were predominantly global across Tehran, with only modest evidence of localized spatial variation. These findings demonstrate that different dimensions of urban density have distinct implications for mental health and that different mental health outcomes respond to different neighborhood characteristics. Overall, the results suggest that improving the quality of high-density residential environments, alongside addressing neighborhood socioeconomic inequalities, may be more effective than focusing on urban density alone when promoting mental health in high-density cities.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-026-10028-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132373","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":"Scale Mismatch in Traditional Village Morphology Identification: Spatial Evidence for Differentiated Conservation Planning","authors":"Huaizhi Qi,&nbsp;Hideaki Kanai","doi":"10.1007/s12061-026-10025-y","DOIUrl":"10.1007/s12061-026-10025-y","url":null,"abstract":"<div><p>Village morphology identification is sensitive to analytical scale, especially where administrative or built-up boundaries aggregate multiple settlement units into a single external form. This issue is particularly relevant to traditional villages, whose internal settlement composition may differ from the morphology expressed by the overall village boundary. This study examines 55 traditional villages in Northeast China and develops a sub-village spatial unit (SVSU)-based multi-scale framework to identify village morphology and diagnose scale mismatch. Six morphology indicators were used to classify SVSU-level morphology into compact, linear, and dispersed types. Village-level morphology was derived by integrating SVSU-level types according to area composition and compared with conventional village-level identification. Scale mismatch was diagnosed for multi-SVSU villages, and diagnostic feature patterns were examined using random forest models and topographic stratification. The results show that village morphology is shaped by both basic SVSU-level types and their compositional relationships, producing compact, linear, dispersed, and mixed village-level types. Among the 33 multi-SVSU villages, 22 showed scale mismatch between conventional and multi-scale identification. Morphology diversity emerged as a structural correlate of scale mismatch, while SVSU number, dominant SVSU proportion, and topographic type were not significant. SDE and MBR showed higher diagnostic importance than building agglomeration indicators in differentiating assigned SVSU types. Topographic context modified the relative diagnostic importance of morphology indicators. The framework provides spatial evidence for identifying internally heterogeneous traditional villages and supports more differentiated conservation planning.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132347","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":"Green Finance Pilot Policy and the Green Transformation of Digital Economy: A Dual Machine Learning Approach with Spatial Quantile Heterogeneity Identification","authors":"Linyue Zhang,&nbsp;Yong-Sik Hwang","doi":"10.1007/s12061-026-10032-z","DOIUrl":"10.1007/s12061-026-10032-z","url":null,"abstract":"<div><p>The rapid expansion of the digital economy has generated substantial environmental costs, necessitating a reconciliation between digital growth and ecological sustainability. Green finance has emerged as a policy instrument to address this tension, yet empirical evidence remains limited. This study investigates whether and how China’s green finance pilot policy drives the green transformation of the digital economy (GTDE). Using panel data from 288 prefecture-level cities (2012–2022) and a framework integrating dynamic DML, spatial quantile DML, and causal forest simulation, we find that the policy significantly promotes GTDE, with an effect of 0.0079–0.0082 (a 6–7% improvement). Dynamic effects peak four years post-implementation. Three mechanisms operate: green credit support (22.4%), clean energy adoption in the digital industry (16.2%), and green technology diffusion (15.8%). Spatial analysis reveals a siphon effect within 150 km, positive spillovers between 150 and 200 km, and decay beyond 200 km. Heterogeneity shows stronger effects in cities with high financial development, stringent environmental regulations, and high human capital. Counterfactual simulations predict a 6.0% GTDE gain if the policy is expanded to all non-pilot cities. These findings offer causal evidence that green finance can drive the green transformation of the digital economy.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132481","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":"Metro Station Placement, Land-Value Gradients, and Accessibility Inequality: A Case Study of Wuhan, China","authors":"Shengxiang Meng,&nbsp;Ronghui Tan,&nbsp;Shuo Tao,&nbsp;Qiong Zhao,&nbsp;Hangling Yu","doi":"10.1007/s12061-026-10029-8","DOIUrl":"10.1007/s12061-026-10029-8","url":null,"abstract":"<div><p>Metro systems influence both land markets and the spatial distribution of accessibility, but these two outcome dimensions do not necessarily move together. This study examines metro station placement in Wuhan from two observable perspectives: parcel-level land-value gradients around metro stations and the distribution of community-level accessibility changes. Using 2,711 land transfers during 2012–2023, pre-construction vacant-land mapping around stations, and a community-level accessibility assessment centered on Metro Line 4, we combine descriptive spatial analysis, hedonic price models, a PSM-DID analysis, and distributional accessibility indicators. The results show that several later metro lines were spatially associated with substantial undeveloped land prior to construction. The hedonic models reveal a negative price-distance gradient in the full Wuhan sample. Within the Line 4 corridor, this gradient remains negative and significant in corridor-wide specifications but becomes statistically insignificant after district fixed effects are introduced, indicating sensitivity to broader spatial heterogeneity. The Line 4-specific PSM-DID estimates are consistently positive across nearest-neighbor, kernel, and caliper matching, indicating a positive post-opening land-price differential within the 1,000-m station area. The accessibility analysis further shows that average potential accessibility improved after Line 4 opened, although the gains remained unevenly distributed across communities. Additional hedonic specifications using the community-level accessibility score suggest that local station proximity and broader network accessibility capture related but distinct dimensions of metro-related land-market outcomes. Overall, the evidence points to a clear land-value gradient around stations and uneven accessibility gains from Line 4.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132299","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":"Impact of Visual-light-thermal Condition On Emotion in Indoor Spaces Based On Mediators of Subjective Sensation and Comfort Evaluation","authors":"Xiaozhu Shi,&nbsp;Jingeng Huo,&nbsp;Jiaqi Niu,&nbsp;Jianghua Chen,&nbsp;Guifeng Han,&nbsp;Lin Ye","doi":"10.1007/s12061-026-10022-1","DOIUrl":"10.1007/s12061-026-10022-1","url":null,"abstract":"<div><p>Visual, light and thermal conditions in indoor living spaces jointly constitute important environmental characteristics impacting emotional states. Existing studies have mostly examined these environmental characteristics separately, while the pathways through which their combined effects impact emotional states remain insufficiently understood. In this study, a typical indoor space in Chongqing was selected as experimental site. Courtyard landscape, window-to-wall ratio and indoor air temperature were treated as environmental characteristics. Questionnaire data on subjective sensations, comfort evaluations and emotional states were collected from 486 university students. Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied to identify the pathways through which environmental characteristics impacted positive valence, negative valence, high arousal, low arousal, stress and fatigue. The results showed that visual conditions significantly impacted emotional states, especially fatigue. Window-to-wall ratio was associated with visual sensation, and its role in positive valence and fatigue was further linked to changes in light sensation. Indoor air temperature mainly impacted positive valence, low arousal and stress through thermal sensation and thermal comfort. Subjective sensations and comfort evaluations formed important mediating pathways linking environmental characteristics to emotional states. Visual conditions increased fatigue when mediated only by visual sensation, but reduced fatigue when visual sensation was further evaluated as comfortable. By distinguishing immediate sensation from subsequent comfort appraisal, this study extends multidomain indoor environment study from identifying environmental effects to explaining how these effects are psychologically translated into different emotional states. These findings are expected to provide a reference for residents’ mental health and emotional state regulation.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132401","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 Built Environment Correlates of Children’s Mental Health and Prosocial Behaviour Using Explainable Machine Learning","authors":"Dongyu Zhang,&nbsp;Hong Leng,&nbsp;Jiuqi Meng,&nbsp;Yunzhe Liu,&nbsp;Daniela Fecht","doi":"10.1007/s12061-026-10015-0","DOIUrl":"10.1007/s12061-026-10015-0","url":null,"abstract":"<div><p>Urban built environments may shape children’s mental health and social development, but their combined and potentially nonlinear associations with favourable developmental profiles remain poorly understood. We linked Wave 13 of Understanding Society with multi-source geospatial and street-view data for children aged 8–12 years living in urban areas of England and Wales. The neighbourhood built environment was characterised within 500 m buffers across greenspace, land-use, road-network and service-facility domains. Total Difficulties and Prosocial Behaviour were derived from the Strengths and Difficulties Questionnaire. XGBoost models with SHAP interpretation were used as an exploratory framework to examine built-environment characteristics associated with Normal-category model outputs, while hierarchical clustering was applied to describe co-occurring environmental configurations. Built-environment characteristics contributed substantially to model interpretation, with greenspace indicators showing prominent contributions and road-network and service-facility characteristics demonstrating outcome-specific nonlinear patterns. Five descriptive neighbourhood typologies were identified, although child-outcome distributions did not differ significantly across clusters. These findings suggest that multidimensional neighbourhood built-environment characteristics may be associated with favourable developmental profiles and highlight the importance of considering environmental configurations and nonlinear relationships in child-friendly urban planning.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132221","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 Residence Duration and Neighboring Networks on Leisure Walking Duration Among Residents in Guangzhou, China","authors":"Dongping Long,&nbsp;Beibei Gong,&nbsp;Shuli Zhou,&nbsp;Guangwen Song,&nbsp;Lin Liu","doi":"10.1007/s12061-026-10027-w","DOIUrl":"10.1007/s12061-026-10027-w","url":null,"abstract":"<div><p>Guided by the Healthy China Initiative and urban renewal policies, enhancing walkability within community life circles is critical for promoting residents’ health. Prior research has separately examined leisure walking in relation to individual, built, and social environments. The multilevel effects and cross-level moderators of leisure walking are still poorly understood. Grounded in the PRECEDE-PROCEED Model and Ecological Systems Theory, we draw on 72 Guangzhou neighborhood surveys to examine how these interactions shape walking duration. Multilevel logistic regression models assess how individual, household, infrastructure, and social environmental factors jointly influence residents’ leisure walking duration, elucidating cross-level interaction mechanisms. Results show that at the individual level, age, number of elderly household members and neighborhood social networks significantly increase leisure walking duration. At the community level, aggregate recreational facility density exerts a significant negative effect on walking duration. Cross-level results showed that longer residential duration buffered the negative associated of street network density on walking via environmental adaptation; neighborhood network facilitated walking only among residents with low avoidance behavior. These patterns delineate the mechanisms of built-environment “adaptation” and social “conditional enablement,” revealing that cross-level interactions between individuals and their environments joint-modulate leisure walking duration.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132217","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":"Territorial Sorting into Segmented Opportunity Structures: Commuting Networks and Formal Labour Market Access in a CEE Metropolitan Region","authors":"Vlad Alexe,&nbsp;Norbert Petrovici,&nbsp;André Torre","doi":"10.1007/s12061-026-10024-z","DOIUrl":"10.1007/s12061-026-10024-z","url":null,"abstract":"<div><p>Metropolitan commuting flows reproduce the spatial organisation of registered employment. In FDI-led metropolitan regions, investment concentration generates a network with asymmetric branching: the core functions as a dense, multi-branching node connecting workers to diverse employment, while peripheral territories enter thin, single-path segments regardless of travel time. We reconstruct commuting network topology from mobile network signalling data covering approximately 150,000 daily flows in Cluj County (NUTS3), Romania, matched to the full registered employer dataset of the Cluj Territorial Labour Inspectorate. The analysis proceeds in four steps: destination field topology, time-threshold access dynamics, exposure to destinations outside the registered employment field, and PPML gravity models of flow formation. The results trace this branching asymmetry across each step. At the 90-minute threshold, 69% of peripheral origin territories retain zero direct network access to the core. Flows toward destinations with no detectable registered employment rise from under 1% in the core to nearly half of all peripheral flows, reversing the proximity gradient between registered and extra-registry opportunities. Gravity estimates show that peripheral origins operate under a distinct flow formation regime that travel-time reductions do not alter. The territorial implication is direct: transport-time investment reaches a structural plateau, and peripheral access depends on diversifying the registered employment base at origin rather than on shortening the corridor to the core. The paper reframes metropolitan inequality as differential territorial insertion into the registered employment opportunity structure, and identifies branching degree expansion in peripheral localities as the structural condition for effective labour market policy.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-026-10024-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132210","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":"Digital Dividend or Digital Divide? Unraveling the “Catch-up Effect” of Tourism Economic Resilience in the Yangtze River Delta Region","authors":"Shiya Li,&nbsp;Xiao Lin,&nbsp;Fan Yang","doi":"10.1007/s12061-026-10019-w","DOIUrl":"10.1007/s12061-026-10019-w","url":null,"abstract":"<div><p>The rapid integration of digital technologies is reshaping regional tourism development. Using panel data from 41 cities in the Yangtze River Delta over 2011–2023, this study examines trends in tourism economic resilience (TER) and employs a two-way fixed effects model to assess the impact of the digital economy and its underlying mechanisms. The results reveal three main findings. First, the digital economy significantly enhances TER. Second, its benefits are greater in less-developed provinces and non-core cities, suggesting a potential catch-up effect. Third, the digital economy enhances TER by facilitating the spatial and industrial reconfiguration of tourism toward more diversified and networked forms of organization and by strengthening fiscal support. These findings highlight the role of digitalization in enhancing tourism resilience, supporting tourism restructuring, and promoting more inclusive regional development.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 4","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149133319","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}