Applied Spatial Analysis and Policy最新文献

{"title":"Spatial Analysis Approaches and Necessary Policy Interventions in India for Sustainable Cancer Healthcare: A State-of-the-Art Systematic Review","authors":"Rahul Dev,&nbsp;Manohar Yadav,&nbsp;Akhil Kapoor","doi":"10.1007/s12061-026-10004-3","DOIUrl":"10.1007/s12061-026-10004-3","url":null,"abstract":"<div><p>Cancer pose a serious public health issue with more than 1.4 million cases diagnosed annually in India. The country also inhabits the biggest young population globally, whose health and prosperity can definitively impact the progress of United Nations’ (UN) Sustainable Development Goals (SDGs). As studies have appraised concerns in the achievement of SDG 3.4 by 2030, it is recommended to apply Geographic Information System (GIS) towards disease monitoring, management, prevention and control even by the apex institutions like UN to uncover the complexity of cancer epidemiology vis-à-vis its socio-economic or environmental determinants. This work reviews the state of the art and trends in GIS spatial approaches used for cancer analysis in India, which is absent in the literature yet. Adhering to the PRISMA guidelines, the review found 68 citations in this field of study. While, exposure assessment was found to be the most common approach, there was a lack of studies regarding important topic of cancer screening. Not a single spatial study was found for the head and neck cancer which is highly prevalent in the country. Common challenges in this research field comes out to be data access, human and GIS infrastructure resource constrains and lack of global standard procedure for geocoding. The paper finally discusses several major developments that are crucially required in the field like institutional collaboration, formation of Spatial Interest Groups in GIS, incorporation of clinical utility and outcomes in GIS investigations and data availability and its multi-model integration among others.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927868","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":"Identifying Urban Centers and Modeling Nonlinear Housing Price Gradients in a Polycentric Metropolitan Region: Geographically Weighted Regression and Tree-Based Approaches in the Seoul Metropolitan Area","authors":"Changhyo Yi,&nbsp;Seongho Kim,&nbsp;Byung-Hun Yun","doi":"10.1007/s12061-026-10008-z","DOIUrl":"10.1007/s12061-026-10008-z","url":null,"abstract":"<div><p>This study investigates the spatially nonlinear relationship between housing prices and urban centrality within the polycentric structure of the Seoul Metropolitan Area. Employing a hybrid analytical framework, we first identify multiple urban centers using kernel density estimation and spatial clustering techniques. Subsequently, we apply Geographically Weighted Regression (GWR) and Tree-Based approaches (DTR/RF) to model the complex, location-specific association between distance to the centers and housing prices. The results reveal significant spatial heterogeneity and nonlinear distance-decay patterns, indicating that proximity to different urban centers is associated with housing prices in varied and complex ways. These findings underscore the limitations of traditional monocentric assumptions and emphasize the importance of considering polycentric urban structures and spatial nonlinearity in urban planning and housing policy development.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927508","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":"Urban Green Space and the Transition to Environmental Sustainability in Urban Tourism: An Analytical Review","authors":"Raoof Mostafazadeh,&nbsp;Javad Madani,&nbsp;Marzieh Moradi","doi":"10.1007/s12061-026-09996-9","DOIUrl":"10.1007/s12061-026-09996-9","url":null,"abstract":"<div><p>Urban tourism has experienced rapid growth over recent decades. However, its dual nature is often overlooked: while it stimulates local economies, it simultaneously imposes significant environmental pressures and exacerbates social inequalities. This analytical review examines the transition toward environmental sustainability in urban tourism, focusing on urban green spaces. Using a PRISMA-informed systematic search of Scopus, Web of Science, ScienceDirect, and Google Scholar (1993–2025), 24 key sources were selected as the core of the review. Qualitative content analysis was organised around key themes: economic, environmental and socio‑cultural impacts, the sustainability paradox, green tourism and urban ecotourism, climate change adaptation, spatial justice, hierarchy of green spaces and stakeholder perceptions. Urban tourism creates jobs and infrastructure but pressures nature, pollution, congestion, land-use change, and unequal green space access. The sustainability paradox (growth vs. carrying capacity) is acute here. Green tourism and urban ecotourism reduce footprints and boost participation, but face high costs and low awareness. Extreme weather from climate change threatens urban destinations. Non‑park green spaces (roadside strips, community gardens, vacant lots) can, under certain conditions (adequate size, connectivity, formal protection, and community stewardship), reduce inequality, ease tourist pressure, and build climate resilience, but are systematically overlooked. Local resident support is also crucial. The paper calls for integrated action based on spatial justice, community participation, and climate adaptation. Six practical suggestions are proposed: carrying‑capacity‑based planning, equitable resource allocation for NPGS, integration of climate adaptation strategies, local community empowerment, promoting green tourism as a norm, and continuous adaptive monitoring using GIS.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927403","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":"Dynamics of Airline Network Types using Multiplex Network Model: An Examination of the Alignment between Market Responses and Policy Objectives in China","authors":"Yue Hu,&nbsp;Liang Dai,&nbsp;Kurt Fuellhart,&nbsp;Frank Witlox","doi":"10.1007/s12061-026-09997-8","DOIUrl":"10.1007/s12061-026-09997-8","url":null,"abstract":"<div><p>Airline networks are highly shaped by regulatory environments, particularly in China where route access, airport capacity, and network development are subject to government intervention. However, existing studies have primarily focused on the network development patterns of major carriers, while the responses of other airlines operating under the same regulatory conditions remain insufficiently understood. Although airlines face similar policy constraints, they may adopt different network strategies due to differences in market positioning, operational capabilities, and competitive priorities. Identifying these network patterns provides a way to evaluate how regulatory environments shape heterogeneous market responses and whether airline behaviors align with policy objectives. Using data from the Official Aviation Guide’s Schedule Analyzer module (2009–2019), this study develops a multiplex network-based framework to classify airlines based on network characteristics and interactions. The temporal stability of these network structures is examined through longitudinal comparisons. The results reveal five relatively stable airline network types in China’s domestic aviation market: <i>Mature</i>, <i>Hub-led</i>, <i>Direct-flight-led</i>, <i>Network-developing</i>, and <i>Fluid</i>. Furthermore, by analyzing changes in market shares among different airline types at slot-controlled airports and on approved routes, we examine how airlines respond to regulatory constraints. The findings reveal a misalignment between airlines’ market responses and the intended regulatory objectives. This study highlights the value of a multiplex network perspective for understanding heterogeneous airline behaviors and provides implications for evaluating aviation policy effectiveness in China.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927404","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":"Does Healthy City Pilot Improve Urban Ecological Resilience? Evidence from Quasi-Natural Experiments","authors":"Li Chen,&nbsp;Yuezhang Jiang,&nbsp;Zihan Song,&nbsp;Yixiang Zhang,&nbsp;Youyu Luo","doi":"10.1007/s12061-026-10001-6","DOIUrl":"10.1007/s12061-026-10001-6","url":null,"abstract":"<div><p>Urban ecological resilience (ER) is essential for coping with environmental risks and achieving sustainable urban development. As an important governance initiative integrating public health and environmental management, the Healthy City Pilot (HCP) policy may generate positive ecological externalities. Using panel data of Chinese prefecture-level cities, this study treats the implementation of the HCP policy as a quasi-natural experiment and employs a difference-in-differences (DID) model to examine its impact on urban ER. The results show that the HCP policy significantly improves ER, and this conclusion remains robust after a series of robustness tests. Heterogeneity analysis indicates that the policy effect is more pronounced in eastern region, in cities with higher administrative status, and in resource-based cities. Mechanism analysis further reveals that the HCP policy enhances ER primarily through promoting green technological innovation, strengthening public environmental concern, and reducing urban electricity intensity. Spatial econometric analysis demonstrates that the HCP policy generates significant positive spatial spillover effects, facilitating improvements in ER in neighboring cities. In addition, further analysis shows that the HCP policy exhibits a significant synergistic effect with Green Finance policy, and their joint implementation further strengthens the improvement of ER. These findings highlight the ecological co-benefits of health-oriented governance and underscore the importance of policy coordination in addressing urban sustainability challenges, offering valuable insights for enhancing ER and fostering sustainable and resilient cities.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148926945","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":"An Integrated Geovisualization-Driven Spatial Association and Network-Based Multi-Criteria Decision-Making Approach for Urban Fire-Risk Mapping and Mitigation","authors":"Atefeh Nasrollahi Aghdam,&nbsp;Bakhtiar Feizizadeh,&nbsp;Sajjad Moshiri,&nbsp;Murat Yakar","doi":"10.1007/s12061-026-09991-0","DOIUrl":"10.1007/s12061-026-09991-0","url":null,"abstract":"<div><p>Urban fire-risk management requires both the identification of high-risk areas and an assessment of whether emergency services can reach them efficiently. This study developed an uncertainty-aware GIS-based decision-support framework to map urban fire-risk susceptibility and evaluate the operational performance of fire safety stations (FSS) in Tabriz, Iran. Twelve spatial criteria were weighted using the Analytic Network Process (ANP), and robustness to weight uncertainty was assessed through Monte Carlo simulation and Global Sensitivity Analysis (GSA), producing an ANP reference surface and an ANP-GSA sensitivity-adjusted surface. Network-based six-minute service areas were used to evaluate FSS accessibility, while Lee’s local bivariate spatial association, bivariate geovisualization, and local spatial cross-correlation were used to assess spatial consistency with residential and commercial-industrial exposure. Independent event-based validation was performed using ROC/AUC analysis with 60 fire and 60 non-fire/background points. Both models showed strong discrimination, with AUC increasing only marginally from 0.945 for ANP to 0.951 for ANP-GSA. Spatial analyses identified persistent high-risk concentrations in central Tabriz and underserved peripheral and industrial sectors. Overlaying FSS locations further showed that several residential clusters assigned lower relative priority by the ANP-GSA model already coincided with dense station coverage, whereas exposed peripheral and industrial zones remained prominent. The framework therefore provides a transparent basis for uncertainty-aware fire-risk prioritization and targeted FSS planning without overstating the predictive gain from sensitivity-informed reweighting.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148926941","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 Coupling Mechanism of Nighttime Vitality in High-Density Cities: A CCM-BiGRU Approach to Transport-Land Use Interaction in Shanghai (2024)","authors":"Yuchen Wu,&nbsp;Min’an Yang,&nbsp;Muhai Liang,&nbsp;Yongsheng Qian,&nbsp;Xu Wei","doi":"10.1007/s12061-026-09939-4","DOIUrl":"10.1007/s12061-026-09939-4","url":null,"abstract":"<div><p>Understanding policy-relevant dynamic coupling between nighttime vitality and its drivers is key to evidence-based planning in high-density megacities, particularly amid global efforts to advance sustainable nighttime economies. Existing research lacks targeted quantification and fails to clarify how transport-land use interactions shape nighttime vitality post-public transport curtailment—a gap limiting utility for time-sensitive urban policies. This study focuses on Shanghai’s Inner Ring, using high-resolution mobile signaling data (April 2024), OpenStreetMap (OSM) road networks, and Point of Interest (POI) data to develop a Coupling Coordination Model (CCM)-Bidirectional Gated Recurrent Unit (BiGRU) framework. Key findings: Nighttime vitality shows significant spatial heterogeneity, with high-vitality zones concentrated in commercial areas; transport accessibility has a critical 23:00 threshold, with transport-vitality links extending beyond one-way promotion; transport-land use coupling coordination reflects uneven spatial allocation of nighttime infrastructure.Tailored to Shanghai’s 2024 High-Quality Development Plan for the Nighttime Economy, policy recommendations are: extending metro hours in core commercial districts to fill post-23:00 mobility gaps; upgrading slow traffic facilities (e.g., illuminated walkways) in suburbs to improve nighttime accessibility. This study addresses the gap in dynamic nighttime vitality analysis, delivers actionable policy tools for Chinese megacities, and supports balancing nighttime economic growth with sustainable urban mobility.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148926944","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":"Polycentric Morphology and Urban Resilience: AI-Based Assessment of Infrastructure Vulnerabilities in Colombo, Sri Lanka","authors":"Jude Nilantha Randeniya,&nbsp;Amila Jayasinghe","doi":"10.1007/s12061-026-09987-w","DOIUrl":"10.1007/s12061-026-09987-w","url":null,"abstract":"<div><p>Polycentric urban development is increasingly promoted as inherently resilient spatial strategy for rapidly urbanising Global South megacities. However, limited empirical evidence demonstrates how distributed morphology actually shapes disaster vulnerability, particularly regarding infrastructure interdependencies within polycentric configurations. This research develops and tests the “Polycentric Vulnerability Paradox” framework, examining how distributed urban form simultaneously creates resilience advantages through redundancy and resilience challenges through coordination complexity and inter-centre dependencies. The study provides first systematic AI-based infrastructure vulnerability assessment of polycentric configuration in South Asian context. An AI-based Urban Morphological Quantification Framework integrating K-nearest neighbour algorithms, neural networks, and XGBoost ensemble methods analyzes Colombo’s 551.52 km² metropolitan area (9,414 grid cells, 400 m resolution) using OpenStreetMap data. Network analysis identifies polycentric centres, inter-centre connectivity patterns, and critical vulnerability nodes. Processing time: 30 min versus 8–10 h for traditional methods. Analysis identified six distinct polycentric centers spanning 18 km, with 847 critical corridor segments (12.3% of road network) whose failure would disrupt inter-centre connectivity. Vulnerability concentrates at inter-centre connection points rather than centre cores, supporting theoretical proposition. Model accuracy: 73% overall, 78% spatial concordance with historical flood events. Population exposure distributes across multiple centres (68% within/adjacent to six centres) creating paradoxical patterns where single-centre disasters impact maximum 18% of population yet city-wide hazards affect majority despite spatial distribution. Polycentric morphology generates neither uniform resilience nor uniform vulnerability but paradoxical patterns where advantages and challenges coexist, with net effects contingent on infrastructure quality and governance capacity. Distributed urban form requires distributed coordination capacity; otherwise morphological complexity amplifies rather than reduces disaster vulnerability.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-026-09987-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927044","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":"Spatial Decision Support for Controlled Environment Agriculture in Cold Regions: Evidence from Alberta, Canada","authors":"Tingsheng Xie,&nbsp;Ali Hamidoğlu,&nbsp;Hao Wang","doi":"10.1007/s12061-026-09983-0","DOIUrl":"10.1007/s12061-026-09983-0","url":null,"abstract":"<div><p>Cold-region food systems face spatial planning constraints arising from long winters, short frost-free periods, seasonal variability, uneven infrastructure access, and land-use restrictions. Controlled-environment agriculture (CEA) can support year-round production, but its expansion depends on the alignment of suitable land, infrastructure, terrain, environmental conditions, and regional connectivity. This study develops a provincial-scale geographic information system (GIS)-based screening and planning-priority framework to delineate eligible land, compare relative suitability, and identify candidate areas for further CEA planning and investigation in Alberta, Canada. The framework applies exclusionary land-use and physical-constraint masks, followed by a multi-criteria assessment integrating infrastructure accessibility, environmental conditions, terrain limitations, and regional connectivity. Results show that development potential is highly uneven. Only 36.64% is eligible; under the baseline five-class equal-interval classification, High and Very High planning-priority areas cover 5.99% of Alberta. These areas are concentrated mainly in central and southern Alberta, with the South Saskatchewan, North Saskatchewan, and Red Deer planning regions containing 88.60% of all High and Very High priority land. The framework identifies areas warranting further planning review; it does not determine final facility locations, development allocations, or project approvals. Benchmark facilities generally scored higher than random eligible points, suggesting that infrastructure and accessibility are associated with their spatial distribution. Robustness analyses show that class-specific area totals vary across classification methods, while broad regional patterns remain stable across methods and weighting configurations. The findings show that effective CEA expansion requires a coordinated regional planning approach that aligns infrastructure investment with land-use policy and broader food-system adaptation goals.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148926990","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":"Does Social Housing Promote Social Mix? A Systematic Review of Spatial Scales and Housing System Contexts","authors":"Juan Yan,&nbsp;Shujie Yang,&nbsp;Xiaoxiao Feng,&nbsp;Tao Wu,&nbsp;Zhiqiang Wu","doi":"10.1007/s12061-026-09985-y","DOIUrl":"10.1007/s12061-026-09985-y","url":null,"abstract":"<div><p>Social mix has become a prominent objective of contemporary housing policy, yet the international literature offers no consistent answer as to whether social housing actually promotes it. This article addresses that question through a systematic review of 143 English-language studies published between 2000 and 2025. Rather than seeking a simple yes-or-no answer, it examines how findings vary across spatial scales, housing system contexts, and different types of outcomes. The review shows that social mix is not a stable or uniformly defined concept, and that the meaning and effects of social housing vary across institutional settings. Across the reviewed evidence, social housing is most consistently associated with compositional change, including altered residential distribution, greater tenure or social diversity, and, in some contexts, reduced concentrations of disadvantage. Evidence on spatial-structural outcomes is more qualified, while evidence on relational outcomes such as sustained interaction, trust, belonging, or reduced stigma is weaker and more conditional. The article argues that social housing can promote social mix, but only in a limited and uneven sense. Much of the apparent contradiction in the literature reflects differences in spatial scale, housing system context, and outcome type rather than simple empirical disagreement.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148926978","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}