City and Environment Interactions最新文献

{"title":"Mental models shaping post-COVID-19 household hygiene behaviours in Dodoma City Tanzania: A Structural Modelling analysis","authors":"Fransisca M. Luumi,&nbsp;Anthony D. Funga,&nbsp;Emmanuel L. Ndetto","doi":"10.1016/j.cacint.2026.100440","DOIUrl":"10.1016/j.cacint.2026.100440","url":null,"abstract":"<div><div>Sustaining household hygiene behaviours (HBs) after COVID-19 remains a public health challenge in rapidly urbanising African cities. Accordingly, this study investigates mental determinants associated with sustained practice of HBs beyond the pandemic context. This cross-sectional study examined mental models influencing HBs among 437 residents of urban Dodoma, Tanzania, selected through stratified random sampling. A structured questionnaire measured eight cognitive constructs: Confidence in Actions (CIA), Habit Formation (HF), Trust in Authorities (TIA), Perception of Risk (POR), Outcome Expectancies (OE), Social Responsibility (SR), Injunctive Norms (IN), and Descriptive Norms (DN), alongside five HBs: handwashing, hand sanitizing, mask wearing, physical distancing, and avoiding handshakes. Partial Least Squares Structural Equation Modelling was used. The measurement model demonstrated strong reliability and validity (Cronbach's α &gt; 0.849; composite reliability &gt;0.908; AVE &gt; 0.768). The structural model explained 29.5% of HBs variance (R² = 0.295; Q² = 0.265). There was evidence that CIA (β = 0.225), HF (β = 0.153), TIA (β = 0.149), POR (β = 0.138), OE (β = 0.092), and SR (β = 0.086) were positively associated with HBs. There was weak evidence for an association between injunctive norms and HBs, but no evidence for an association between descriptive norms and HBs. Findings indicate that sustained HBs are primarily driven by internalised cognitive factors rather than external enforcement or social norms. Importance–Performance Map Analysis identified CIA and HF as priority intervention targets. Overall, the study provides theory-driven insights to inform context-sensitive strategies for improving long-term HBs and strengthening urban environmental health resilience.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100440"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reframing urban hydropower through nature-based solutions: Constructed wetlands for climate-resilient water and energy systems","authors":"Gonzalo Chiriboga,&nbsp;Michel Núñez,&nbsp;Teresa Palacios,&nbsp;Andrés Cepeda,&nbsp;Michael Vega,&nbsp;Carolina Montero,&nbsp;Luis Castillo,&nbsp;Jorge López,&nbsp;Jhoselin Alvear,&nbsp;Ghem Carvajal","doi":"10.1016/j.cacint.2026.100459","DOIUrl":"10.1016/j.cacint.2026.100459","url":null,"abstract":"<div><div>Urban hydropower is increasingly threatened by climate variability and urbanization, which generate nutrient- and sediment-rich runoff that degrades water quality and undermines energy reliability. This study presents the first documented integration of constructed wetlands (CWs) installed upstream of and between reservoirs to intercept these loads, demonstrating feasibility through a reproducible, uncertainty-bounded engineering framework. The approach is applied to the Guangopolo–Cumbayá hydropower cascade in Quito, Ecuador (61 MW; ∼219 GWh yr⁻¹), where field measurements confirm active eutrophication — mean orthophosphate concentrations of 0.80–1.12 mg L⁻¹ at both reservoirs exceed the OECD eutrophication threshold by an order of magnitude. Achieving full-flow treatment would require wetland areas one to two orders of magnitude larger than available riparian land, rendering it infeasible in this densely urbanized catchment. Instead, a climate-adaptive strategy is proposed, diverting 6.5% of cascade inflow through a sequential hybrid system (FWS → VSSF → HSSF). This configuration removes up to 59% NO₃⁻, 36% NH₄⁺, and 24% PO₄³⁻ while preserving ecological base flows. Normalized to the cascade's energy output, the intervention requires 3.53 m² of constructed wetland per MWh generated — a novel benchmark linking ecological infrastructure to urban energy services. These findings position constructed wetlands as quantifiable components of urban climate-resilience infrastructure, providing a reproducible framework for integrating nature-based solutions into hydropower licensing and climate adaptation strategies within densely urbanized catchments.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100459"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148854109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Divergence between eddy covariance fluxes and CO2 emission inventory of Vienna only partly explained by remote-sensed based vegetation predictors","authors":"Sebastian Braun,&nbsp;Enrichetta Fasano,&nbsp;Bradley Matthews,&nbsp;Helmut Schume,&nbsp;Francesco Vuolo","doi":"10.1016/j.cacint.2026.100435","DOIUrl":"10.1016/j.cacint.2026.100435","url":null,"abstract":"<div><div>Accurate quantification of urban carbon dioxide (CO₂) emissions is essential for evaluating local mitigation strategies. Yet discrepancies can occur when comparing city emission inventories with flux estimates from measurement-based methods such as eddy covariance (EC). This study investigated whether urban vegetation can explain such inventory-flux discrepancies in Vienna, Austria. Residuals between downscaled, temporally resolved inventories and tall tower CO₂ flux measurements generally exhibited a temporal pattern following seasonal and diel dynamics in vegetation CO₂ uptake. To evaluate this potential influence, correlations of inventory-flux residuals with satellite-derived Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetic Active Radiation (FAPAR) within flux footprints, as well as meteorological variables, were tested. Results revealed positive correlations with daytime data (<em>ρ</em> = 0.74 for LAI vs. relative residual), and negative correlations with nighttime data (<em>ρ</em> = −0.65 for LAI vs. absolute residual), suggesting a role of biogenic processes in urban CO₂ fluxes, driven by daytime plant net assimilation and nighttime plant and soil respiration. Subsequently, a first estimate of net ecosystem exchange (NEE) was quantified using a semi-empirical urban vegetation flux model and directly compared with the observed residuals. Monte Carlo simulations (<em>n</em> = 3000) indicate that NEE remains comparatively small, resulting in only a marginally improved agreement between emission inventory and EC observations (R² = 0.361 without NEE; R² = 0.361–0.390). Although diurnal and seasonal variations in biogenic fluxes are noticeable, they are too small to reconcile the systematic divergence between EC observations and the downscaled inventory, pointing to additional sources of uncertainty.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100435"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148635368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping urban vitality: a framework for resilient pocket spaces and inclusive city systems","authors":"Mamun Rashid,&nbsp;Dilshad Rahat Ara,&nbsp;Salem Buhashima Abdalla","doi":"10.1016/j.cacint.2026.100450","DOIUrl":"10.1016/j.cacint.2026.100450","url":null,"abstract":"<div><div>This article critically intervenes in dominant public space paradigms in planning and design of cities in the United Arab Emirates (UAE), interrogating the persistent reliance on top-down, large-scale planning logics. We argue that such approaches reproduce spatial exclusivity and socio-cultural homogeneity, reducing public life to a managed spectacle or passive consumption. In doing so, they sideline the lived relations and practices through which diverse urban publics engage with and creatively reconfigure spaces to come together. Moving beyond a peripheral view, we reframe pocket spaces as relational micropublics: vital sites for intercultural negotiation, affective placemaking, and inclusive urban vitality. This approach draws on four case profiles of urban pockets in Dubai and Sharjah, UAE, informed by experiential encounters and systematic observations across these sites.</div><div>Through a situated analysis of everyday public spaces, the paper realigns multidisciplinary trajectories spanning cosmopolitan urban theory, spatial practice, and urban design and planning. An intersectional and relational lens advances an adaptive, context-sensitive approach to everyday urbanism attuned to the temporalities, proximities, and contingencies of superdiverse life. Building on this foundation, we develop the Urban Vitality for Inclusivity (UVI) framework, conceived as an exploratory and conceptual contribution rather than a fully operational planning tool. It makes a twofold contribution: thematically, by clustering UVIs as socially grounded relational phenomena; and spatially, by linking them to situated practices and adaptive micro-urban conditions. This heuristic matrix addresses the planning challenges of superdiverse cities, where universalist design tropes fall short and policy must navigate the plural, contingent conditions of everyday spaces to advance open-city sustainability agendas.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100450"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148854105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Explanatory Grounded Theory (EGT): An integrated methodological protocol for explaining the complex interaction of the city and the environment","authors":"Hashem Dadashpoor,&nbsp;Roya Dehghan","doi":"10.1016/j.cacint.2026.100422","DOIUrl":"10.1016/j.cacint.2026.100422","url":null,"abstract":"<div><div>The core issue of this research is the inability of conventional methodologies to address the “explanatory gap” in the study of complex interactions between the city and the environment. Although the existing literature promises to fill this gap through combining grounded theory and critical realism, the lack of an integrated, transparent, and step-by-step methodological protocol hinders the operationalization of this capacity. Therefore, in response to this explanatory and methodological gap, this research develops an integrated methodological protocol. It presents a “new reading” titled Explanatory Grounded Theory (EGT), employing the capabilities of grounded theory within the paradigm of critical realism. To achieve this goal, a combined approach of systematic literature review and qualitative content analysis was employed. The results, drawing on specialized text analysis, indicate four basic Ontological, Ethical, Methodological, and Practical (OEMP) categories as the necessities for using grounded theory within the paradigm of critical realism for explaining the complex interactions of the city and the environment. The primary output of this research is a five-step protocol, which includes “theoretical sensitizing,” “contextual coding,” “organizing an integrated framework,” “Theory Generation,” and “Refining EGT and final theory formulation.” This protocol, on the one hand, bridges the existing methodological gap by offering a new reading and transforming the four categories of OEMP into clear operational guidelines. On the other hand, it concurrently provides explanatory and strategy-oriented knowledge, enabling researchers and policymakers to thoroughly explain complex city and environment phenomena.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100422"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148635369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Urban futures on the edge? Quantifying the spatial interaction effects of Urban form and heat on particulate pollution in Sub-Saharan African cities","authors":"Stephen B. Liwur,&nbsp;Jacob N. Tagnan,&nbsp;Abdul R. Adam,&nbsp;Prince Aboagye Anokye,&nbsp;Michael Osei Asibey","doi":"10.1016/j.cacint.2026.100452","DOIUrl":"10.1016/j.cacint.2026.100452","url":null,"abstract":"<div><div>This study measures the spatial pathways through which urban form changes and heat intensity influence fine particulate pollution (PM_2.5) in Lagos and Tamale – using land-use classification techniques, heat analysis, and spatial autoregression modeling specifications. The study's results show substantial urban expansion in both cities at the expense of vegetation – in Lagos, built-up areas increased from 44.27% (2000) to 51.38% (2021), and Tamale's built-up expanded by 195%. At the same time, the heat in both cities have intensified, with Lagos recording a mean-LST of 25.91 °C (in 2000) and 26.74 °C (2021), while the mean-LST in Tamale concurrently rose from 26.04 to 31.35 °C. For PM_2.5 concentrations, the results reveal significant increment, with Lagos' mean-PM_2.5 rising from 17.73 to 20.63 μ<em>g/m</em>^<em>3</em> and Tamale' s from 18.61 (in 2000) to 19.40 μ<em>g/m</em>^<em>3</em> (in 2021). Due to the frequent changes in these urban dynamics: heat and urban form, the spatial models (especially the Spatial Durbin) show strong spatial dependence (<em>ρ ≈ 0.83</em>–<em>0.91</em>) and spillovers (<em>W</em>_<em>UFC</em> <em>= 0.02682, p = 0.032</em>) where urban form changes and urban heat intensity significantly influence PM_2.5 concentration in both Lagos and Tamale. These spillover effects imply that pollution pathways and consequences of urbanization are spatially heterogeneous. It also suggests that while urban expansion and heat play a critical role in shaping pollutant behavior, air quality patterns in these cities are ultimately the product of complex interactions between spatiotemporal and environmental processes. Therefore, there is a critical need for collaboration between urban planners, designers, public health institutions, and city residents to mitigate air pollution and its impacts on public health.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100452"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148843446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing climate resilience through artificial intelligence: A comprehensive review across urban and climate-sensitive sectors in Morocco","authors":"Zakariae Benzouitine,&nbsp;Loubna Mekouar,&nbsp;Youssef Iraqi,&nbsp;Issam Damaj","doi":"10.1016/j.cacint.2026.100461","DOIUrl":"10.1016/j.cacint.2026.100461","url":null,"abstract":"<div><div>Climate change poses significant challenges to Morocco, which is increasingly affected by desertification, recurrent droughts, rising temperatures, and water scarcity. These impacts threaten climate-sensitive sectors such as agriculture, water resources, energy, urban planning, and environmental management, highlighting the urgent need for innovative and data-driven resilience strategies. In this context, artificial intelligence has emerged as a promising tool for strengthening prediction, planning, risk management, adaptation, and mitigation. This review assesses how artificial intelligence, machine learning, and deep learning have been applied to climate resilience in Morocco across seven climate-sensitive sectors and identifies methodological, data, and deployment gaps. A structured search of Google Scholar, IEEE Xplore, ScienceDirect, and SpringerLink identified 80 eligible publications from 2020–2025, which were analyzed by sector, model family, dataset and access type, geographic scale, evaluation metric, and stated or implicit research gap. The findings show a marked increase in research activity after 2022, concentrated particularly in agriculture, water resources, and climate-risk applications. Tree-based ensembles were prevalent for heterogeneous tabular and geospatial data, whereas neural models were used mainly for imagery and time-series forecasting. Public satellite and reanalysis products enabled broad coverage, but sparse ground observations, restricted institutional data, resolution mismatch, limited spatial transfer testing, and minimal use of explainable AI constrained reproducibility and operational uptake. Most applications supported adaptation, while mitigation remained less developed. By jointly connecting AI methods, data provenance, spatiotemporal integration, interpretability, sector-specific limitations, and policy readiness, this Morocco-specific cross-sector synthesis extends narrower domain reviews and provides an evidence-based roadmap for reproducible, locally generalizable, and trustworthy climate-AI systems.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100461"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physics-constrained LSTM networks enable robust PM2.5 forecasting under sparse observational conditions: a case study from Kunming","authors":"Shuting Yang,&nbsp;Jia Xie,&nbsp;Saidong Lv,&nbsp;Yaowen Xia","doi":"10.1016/j.cacint.2026.100433","DOIUrl":"10.1016/j.cacint.2026.100433","url":null,"abstract":"<div><div>With the acceleration of urbanization, the problem of air pollution has become increasingly prominent. The prediction of PM2.5 concentration has become an important issue in air quality management and public health research. However, the complex meteorological conditions and multi-site spatiotemporal coupling make it challenging for traditional data-driven models to fully capture both predictive performance and physical constraints. Therefore, we propose a multi-site hybrid framework that integrates BiLSTM and PINN, embedding the wind-driven advection transport, diffusion, and pollutant attenuation processes into the network training, and constructing PDE residual constraints in the form of finite differences. This model integrates multi-scale features and employs a fixed physical loss weight (<span><math><msub><mi>λ</mi><mi>PDE</mi></msub></math></span> = 0.01). A physically motivated loss formulation is used to improve the model's robustness under high-concentration pollution conditions. On this basis, a mixed source term structure is constructed, which includes linear contribution terms of CO, NO₂, SO₂, O₃, and PM10, as well as nonlinear interaction terms such as CO–NO2 and PM10–O3. Moreover, the diffusion coefficient and pollution source parameters are jointly optimized as learnable physical parameters. The experimental results based on 46,754 observation samples from 5 air quality monitoring stations in Kunming City show that the proposed model achieved good prediction performance on the test set. The RMSE was 5.95<span><math><mspace></mspace><mi>μg</mi><mo>/</mo><msup><mi>m</mi><mn>3</mn></msup></math></span>, the MAE was 4.36 <span><math><mi>μg</mi><mo>/</mo><msup><mi>m</mi><mn>3</mn></msup></math></span>, and the R² reached 0.8684, indicating that the model can effectively learn the spatiotemporal diffusion and pollution source contribution characteristics of PM2.5. This model provides a physics-constrained spatio-temporal framework for PM2.5 prediction with improved interpretability through physically meaningful parameters. Experimental results show that, in the 1-h-ahead forecasting task, the proposed model does not achieve the highest numerical accuracy compared with the simple persistence model and several data-driven baselines. However, it offers improved physical consistency and interpretability, providing a trade-off between predictive accuracy and physical interpretability.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100433"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148636071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ensemble-based anomaly detection for urban water consumption monitoring: A smart city application in Valencia","authors":"Emilio Fernández-Vargas,&nbsp;Andrea Bonetti,&nbsp;Joan Vila-Francés,&nbsp;Rafael Magdalena-Benedicto,&nbsp;Xaro Benavent-Garcia,&nbsp;Adrián Salcedo-Puche,&nbsp;Sergio Daly-Terrén","doi":"10.1016/j.cacint.2026.100457","DOIUrl":"10.1016/j.cacint.2026.100457","url":null,"abstract":"<div><div>Efficient monitoring of urban water consumption is essential for sustainable resource management and early detection of distribution network irregularities. Single-method anomaly detection approaches often fail to capture the diversity of patterns present in real consumption data, such as leaks, meter malfunctions, abrupt demand shifts, and data inconsistencies. This study proposes an ensemble anomaly detection framework that combines complementary time series techniques, including decomposition, forecasting, density-based, and smoothing-based methods. The framework was applied to neighborhood-level daily water consumption data from Valencia, Spain, where six individual neighborhoods were selected to reflect distinct consumption patterns. Each time series was analyzed independently to preserve local consumption behavior. The ensemble approach demonstrated improved robustness in identifying diverse irregularities compared to individual methods, without requiring labeled training data. Results were explored through a geospatial visualization interface that enabled spatial interpretation of detected anomalies across neighborhoods. The proposed framework is scalable, interpretable, and adaptable to evolving consumption patterns, supporting data-driven decision-making for urban water management in smart city contexts.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100457"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Urban agricultural land transitions in Tokyo: spatiotemporal dynamics, driving mechanisms, and accessibility implications","authors":"Weicheng Li,&nbsp;Toru Terada,&nbsp;Giles B. Sioen","doi":"10.1016/j.cacint.2026.100449","DOIUrl":"10.1016/j.cacint.2026.100449","url":null,"abstract":"<div><div>Urban agricultural land in mature urban regions faces development pressure, with implications for both land availability and residents' accessibility to local food systems. However, limited attention has been paid to how land use transitions restructure accessibility outcomes during late-stage urbanization. Using Tokyo as a representative highly urbanized and densely populated case, this study develops a conceptual framework linking socio-economic drivers, institutional and demographic moderators, agricultural land transitions, and accessibility outcomes across two periods (1991/92–2006/07 and 2006/07–2021/22). The analysis integrates a land use transition matrix, a gravity-based accessibility model, spatial explanatory power detection, and path-based modeling to identify key drivers and mechanisms. Results show that agricultural land accessibility declined more sharply in the 2006/07–2021/22 period despite smaller absolute losses of agricultural land, suggesting that the remaining agricultural land had fallen below a level sufficient to buffer the effects of ongoing urban expansion. Notably, areas with dense farmer density and a high concentration of lands designated as “productive green land” exhibited stronger pressures for residential conversion. Population aging was associated with reduced responsiveness of land use decisions to both land price and farmer density. By linking land use transitions with accessibility outcomes, this study provides a framework for understanding how urban agricultural systems are restructured during late-stage urbanization.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100449"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148776482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}