Search Results (437)

The island of Gran Canaria (Spain) has undergone a significant transformation in wildfire dynamics over the past two decades, characterized by a decline in wildfire frequency but a marked increase in the severity and spatial impact of extreme events, particularly within the wildland–urban interface (WUI). This study analyzes wildfire activity between 2000 and 2020 using official datasets and statistical trend analyses, incorporating robust severity indicators and measures of burned area concentration. Results show a statistically significant decreasing trend in the number of wildfires, while burned area is extremely concentrated in a small number of high-intensity events, with four large wildfires accounting for more than 97% of the total affected area. Climatic influences on wildfire activity were assessed through the analysis of long-term meteorological indicators, focusing on trends in extreme heat days and precipitation as proxies for thermal stress and fuel moisture availability. The results indicate a substantial modification of the background climatic framework under which wildfires develop, although no direct causal relationships are inferred. In parallel, territorial processes—such as rural abandonment, increased fuel continuity, and the expansion of dispersed housing beyond consolidated settlements—act as key amplifiers of wildfire risk. Overall, the findings highlight a transition from emergency-oriented fire suppression toward resilience-based wildfire management, emphasizing the need to integrate climate adaptation, territorial planning, and stricter land-use regulation in WUI areas. Full article

Improving the energy efficiency of Australia’s ageing housing stock is critical to achieving national decarbonisation and climate resilience goals. Although houses built prior to the introduction of national energy efficiency regulations in the 1990s are commonly assumed to be thermally inefficient, empirical evidence for their performance under Australian climatic conditions remains limited, particularly for prevalent pre-war construction typologies. This study addresses this gap by examining the thermal comfort and energy demand of a representative double-brick house built in the 1930s in Adelaide, Australia. A combined methodology was adopted, integrating long-term environmental monitoring, occupant responses, and building performance simulations conducted in two stages. The first stage evaluated the existing building’s thermal and energy performance to establish a calibrated baseline, while the second stage applied parametric optimisation analysis to assess potential retrofit strategies. Baseline results indicate that the case-study dwelling exhibits strong passive cooling performance in summer, challenging the prevailing assumption that older Australian houses are inherently thermally inefficient. Building on this calibrated baseline, parametric optimisation of 467 retrofit configurations was undertaken and benchmarked against the Australian Nationwide House Energy Rating Scheme (NatHERS). The results show that a combined strategy of increased insulation, reduced infiltration, upgraded glazing, and optimised external shading can reduce total heating and cooling loads by up to 78% compared to the original condition, achieving energy ratings of up to 8.5 NatHERS Stars. The findings demonstrate a transferable workflow that links empirical performance assessment with simulation-based optimisation for evaluating retrofit options in older housing typologies. For pre-war double-brick houses in warm-temperate climates, the results indicate that prioritising airtightness and glazing upgrades offers an effective and feasible retrofit pathway, supporting informed decision-making for designers, owners, and policymakers. Full article

Cities increasingly utilise digital technologies to tackle climate risks and urban shocks, yet their real impact on resilience remains uncertain. This paper systematically reviews 115 peer-reviewed studies (2012–2024) to explore how smart city technologies engage with planning instruments, governance arrangements, and social processes, following PRISMA 2020 and combining bibliometric co-occurrence mapping with a qualitative synthesis of full texts. Three themes organise the findings: (i) urban planning and design, (ii) smart technologies in resilience, and (iii) strategic planning and policy integration. Across these themes, Internet of Things (IoT) and geographic information system (GIS) applications have the strongest empirical support for enhancing absorptive and adaptive capacities through risk mapping, early warning systems, and infrastructure operations, while artificial intelligence, digital twins, and blockchain remain largely at pilot or conceptual stages. The review also highlights significant geographical and hazard biases: most cases come from high-income cities and concentrate on floods and earthquakes, while slow stresses (such as heat, housing insecurity, and inequality) and cities in the Global South are under-represented. Overall, the study promotes a “smart–resilience co-production” perspective, demonstrating that resilience improvements rely less on technology alone and more on how digital systems are integrated into governance and participatory practices. Full article

Afghanistan experiences frequent damaging earthquakes, and the widespread use of unreinforced adobe and Pakhsa construction leads to high casualty rates and severe housing losses. Traditional earthen buildings exhibit low tensile capacity, rapid stiffness degradation, and brittle failure, often collapsing at drift levels below 0.5–0.6% or at modest ground motions. Reinforcement techniques evaluated in international experimental studies—such as timber confinement, flexible steel wire mesh, geogrids, and high-quality plastic fencing—have demonstrated measurable improvements, including 30–200% increases in lateral strength, three- to seven-fold increases in ductility, and out-of-plane capacity enhancements of more than two-fold when properly anchored. This study synthesises research findings and global earthen building codes and guidelines to develop a practical, context-appropriate benchmark house model for Afghanistan. The proposed model integrates representative wall geometries, concentrated flat-roof loading, and realistic construction capabilities observed across the country. Three reinforcement alternatives are presented, each designed to be low-cost, compatible with locally available materials, and constructible without specialised equipment. By linking quantitative performance evidence with context-specific construction constraints, the study provides a technically grounded and implementable pathway for improving the seismic safety of rural earthen dwellings in Afghanistan. The proposed benchmark model offers a robust foundation for future national guidelines and for the design and retrofitting of safer, more resilient housing. Full article

An effective housing policy must ensure affordability for individuals across all income levels by integrating advanced technological innovations with comprehensive socioeconomic strategies. Affordable housing fosters social inclusion, whereas sustainability supports long-term environmental protection and economic stability. The success and long-term sustainability of affordable housing initiatives are heavily influenced by current socioeconomic conditions, emphasizing the need for context-specific, inclusive, and sustainable housing solutions. Benchmarks are crucial in affordable housing to determine if it is climate-positive, aligning with the goals of the United Nations’ Sustainable Development Goal 11.1, which seeks to provide affordable and sustainable housing for everyone by 2030. This study uses the Scopus database to perform a scientometric analysis of 595 publications (2015–2024) on sustainability and affordability in housing. Using R-Studio 2025.05.1 + 513.pro3 and VOSviewer 1.6.20, it examines bibliographic trends, research gaps, and collaboration patterns across countries and journals. This study highlights performance thresholds related to economic, environmental, energy, territorial, and climatic factors. However, cost and ecological objectives can cause conflict with each other practically, and hence a balanced approach including green practices, efficient materials, and subsidies is crucial. There is a need for policymakers to address market gaps to prevent socially exclusive or environmentally harmful outcomes, maintain long-term urban resilience, and ensure sustained urban resilience and equitable access to affordable, sustainable housing by 2030. Integrating sustainable materials, circular and climate-resilient design, smart technologies, inclusive governance, and evidence-based policies is crucial for advancing affordable, equitable, and resilient housing. This approach guides future research and policy toward long-term social, economic, and environmental benefits. The findings and recommendations promote sustainable, affordable housing, emphasizing the need for further research on climate-resilient, energy-efficient, and cost-effective building solutions. Full article

This study examines the perceived mental health of Ukrainian female forced migrants in Ireland through the lens of the socio-ecological model (SEM). Using binomial logistic regression on a 2023 online survey dataset (N = 656), it explores multi-level predictors across individual, relationship, community, and societal domains. Results indicate that individual-level factors explain the largest proportion of variance in perceived mental health (Nagelkerke R² = 0.399). Employment status, self-rated physical health, and coping strategies were key determinants: part-time employment and good physical health were associated with higher odds of good perceived mental health. In contrast, avoidant coping and worsening health were associated with poorer outcomes. Relationship-level factors (R² = 0.194) also contributed significantly; lack of social support and deteriorating family or friendship ties were linked to poorer mental health, whereas participation in refugee meetings was strongly protective. Community-level factors (R² = 0.123) revealed that unstable housing, living with strangers, and declining neighbourhood relationships were associated with reduced mental well-being. At the societal level (R² = 0.168), insufficient access to psychological support and excessive exposure to Ukrainian news were associated with poorer outcomes, while moderate news engagement was protective. The findings highlight the multifaceted nature of refugees’ perceived mental health, emphasising the interdependence of personal resilience, social connectedness, and systemic support. Full article

Across the Baltic Sea region, areas situated in climate-sensitive water zones are increasingly exposed to environmental and socio-economic challenges. Gdańsk, Poland, is a prominent example where the rising threat of climate-related hazards, particularly connected with flooding, coincides with growing demand for resilient and adaptive housing solutions. Located in the Vistula Delta, the city’s vulnerability is heightened by its low-lying terrain, polder-based land systems, and extensive waterfronts. These geographic conditions underscore the urgent need for flexible, climate-responsive design strategies that support long-term adaptation while safeguarding the urban fabric and the well-being of local communities. This study provides evidence-based guidance for adaptive housing solutions tailored to Gdańsk’s waterfronts. It draws on successful architectural and urban interventions across the Baltic Sea region, selected for their environmental, social, and cultural relevance, to inform development approaches that strengthen resilience and social cohesion. To achieve this, an exploratory case study methodology was employed, supported by desk research and qualitative content analysis of strategic planning documents, academic literature, and project reports. A structured five-step framework, comprising project identification, document selection, qualitative assessment, data extraction, and analysis, was applied to examine three adaptive housing projects: Hammarby Sjöstad (Stockholm), Kalasataman Huvilat (Helsinki), and Urban Rigger (Copenhagen). Findings indicate measurable differences across nine sustainability indicators (1–5 scale): Hammarby Sjöstad excels in environmental integration (5/5 in carbon reduction and renewable energy), Kalasataman Huvilat demonstrates strong modular and human-scaled adaptability (3–5/5 across social and housing flexibility), and Urban Rigger leads in climate adaptability and material efficiency (4–5/5). Key adaptive measures include flexible spatial design, integrated environmental management, and community engagement. The study concludes with practical recommendations for local planning guidelines. The guidelines developed through the Gdańsk case study show strong potential for broader application in cities facing similar challenges. Although rooted in Gdańsk’s specific conditions, the model’s principles are transferable and adaptable, making the framework relevant to water sensitivity, flexible housing, and inclusive, resilient urban strategies. It offers transversal value to both urban scholars and practitioners in planning, policy, and community development. Full article

Baltimore’s historic row-home neighborhoods face escalating risks to energy, heat, and durability under intensifying climate stress. This study develops a Housing-Performance Atlas that quantifies multi-hazard performance for eight representative archetypes using DesignBuilder/EnergyPlus Version 7.3.1.003, under Baltimore TMY3 boundary conditions. Performance is evaluated across the following four adaptation domains: energy use intensity, passive survivability during 72 h outage events, roof overheating exposure (>150 °F exceedance hours), and material service life derived from ISO 15686 and synthesized into Lean and Full Deficit Indices for comparative resilience ranking. Results show that EUI ranged from 46.7 to 67.6 kBtu ft⁻²·yr⁻¹, survivability from 0 to 23 h, and roof temperatures exceeded 150 °F for 150–210 h, shortening roof service life by up to 10 years. Composite Lean and Full Deficit Indices ranged 7.8–92.4, ranking Model 5 (end-unit, flat roof, two-story with basement) as the most resilient configuration and Model 8 (end-unit, pitched roof, three-story above-grade) as the least resilient due to compounded overheating and energy losses. Heat-related domains accounted for nearly 70% of overall resilience deficits, confirming thermal safety and roof reflectivity as retrofit priorities. The Housing-Performance Atlas establishes a reproducible diagnostic framework linking simulation, service life, and resilience metrics to guide cost-effective, climate-responsive retrofits in Baltimore’s aging urban housing stock. Full article

Over recent decades, planners in the U.S. have increasingly adopted mixed-use projects to reduce automobile dependency and strengthen local community identity, although results remain inconsistent across cities. Urban health and fitness outcomes are shaped by complex interactions between the built environment, socioeconomic factors, and demographic characteristics. This study introduces a Health and Fitness Index (HFI) for 28,758 U.S. ZIP codes, derived from normalized measures of walkability, healthcare facility density, and carbon emissions, to assess spatial disparities in health-supportive environments. Using four modeling approaches—lasso regression, multiple linear regression, decision trees, and k-nearest neighbor classifiers—we evaluated the predictive importance of 15 urban and socioeconomic variables. Multiple linear regression produced the strongest generalization performance (R² = 0.60, RMSE = 0.04). Key positive predictors included occupied housing units, business density, land-use mix, household income, and racial diversity, while income inequality and population density were negatively associated with health outcomes. This study evaluates five statistical formulations (Metropolis Hybrid Models) that incorporate different combinations of walkability, land-use mix, environmental variables, and socioeconomic indicators to test whether relationships between urban form and socioeconomic conditions remain consistent under different variable combinations. In cross-sectional multivariate regression, although mixed-use development in high-density areas is strongly associated with healthcare facilities, these areas tend to serve younger and more racially diverse populations. Decision tree feature importance rankings and clustering profiles highlight structural inequalities across regions, suggesting that enhancing business diversity, land-use integration, and income equity could significantly improve health-supportive urban design. This research provides a data-driven framework for urban planners to identify underserved neighborhoods and develop targeted interventions that promote walkability, accessibility to health infrastructure, and sustainability. It contributes to the growing literature on urban health analytics, integrating machine learning, spatial clustering, and multidimensional urban indicators to advance equitable and resilient city planning. Full article

Accurate short-term load forecasting is vital for smart-city energy management, enabling real-time grid stability and sustainable demand response. This study introduces a cloud-enabled hybrid forecasting framework that integrates Seasonal Autoregressive Integrated Moving Average with Exogenous variables (SARIMAX), Random Forest (RF), and Long Short-Term Memory (LSTM) models, unified through a residual-correction mechanism to capture both linear seasonal and nonlinear temporal dynamics. The framework performs fine-grained 5 min forecasting at both appliance and aggregate levels, revealing that the aggregate forecast achieves higher stability and accuracy than the sum of appliance-level predictions. To ensure operational resilience, three independent hybrid models are deployed across distinct cloud platforms with a two-out-of-three voting scheme, that guarantees continuity if a single-cloud interruption occurs. Using a real residential dataset from a house in Summerlin, Las Vegas (2022), the proposed system achieved a Root Mean Squared Logarithmic Error (RMSLE) of 0.0431 for aggregated load prediction representing a 35% improvement over the next-best model (Random Forest) and maintained consistent prediction accuracy during simulated cloud outages. These results demonstrate that the proposed framework provides a scalable, fault-tolerant, and accurate energy forecasting. Full article

Community-based organisations (CBOs) play a crucial role supporting clients during emergencies yet often lack adequate preparation. This study examined how Australian CBOs perceived and enacted dual responsibilities: ensuring service continuity during emergencies and facilitating person-centred preparedness for high-risk populations. A national cross-sectional online survey of community-based health and social care organisations was conducted between December 2021 and April 2022, employing strategic outreach and snowball sampling. Among 244 respondents, disability services (69%) and housing and homelessness services (27%) were the most common providers. Many organisations showed strong emergency preparedness, including comprehensive insurance, staff empowerment, and adaptive service delivery. Barriers to business continuity plans (BCPs) included resource constraints and limited emergency information access. Organisations with established networks and collaborations with emergency services demonstrated greater capacity for sustained service delivery (p < 0.001). Logistic regression analysis revealed local networking with emergency service agencies was positively associated with CBOs’ ability to support client preparedness (p < 0.001), while lack of tools (p = 0.007) and training (p = 0.037) limited capacity to facilitate person-centred emergency planning for high-risk populations. Embedding business continuity planning within operations and strengthening cross-sector collaboration can enable CBOs to fulfil their aforementioned dual responsibilities, while advancing sustainable organisational resilience and inclusive disaster risk reduction. Full article

In advanced economies characterized by sustained immigration, rising inequality, and chronically underdeveloped social housing sectors, demand-side welfare interventions risk being capitalized into higher rents rather than improving housing affordability. This study investigates how Spain’s welfare state transformation—particularly the rollout of IPREM-indexed policies such as the Minimum Living Income (IMV) and the Youth Rental Voucher—interacted with migration flows and tourism-driven housing competition to reshape private rental markets between 2008 and 2025. Using harmonized national data from OPI, Idealista, INE, and the Bank of Spain (2010–2024), we apply a descriptive time-series approach that combines structural break tests (Chow and Bai–Perron), pre/post-2021 correlation comparisons, regional heterogeneity analysis, and robustness checks (including Spearman correlations and jackknife sensitivity analyses). We identify a pronounced structural break in 2021: while consular visa issuances—a proxy for combined migration and tourism inflows—showed no significant association with advertised rental prices before 2021 (r ≈ 0.27, p = 0.41), a remarkably strong co-movement emerged thereafter (r ≈ 0.90–0.92). This shift aligns precisely with the nationwide implementation of IMV, institutionalization of the Youth Voucher, and disbursement of EU Recovery and Resilience Facility funds. The effect is most acute in regions with rigid housing supply and high exposure to tourist-use dwellings (VUT)—notably the Balearic Islands, Murcia, Cantabria, and Navarre—suggesting that increased effective demand may have been absorbed primarily through price increases rather than expanded access. While our observational design precludes causal inference and the findings should be interpreted as exploratory and hypothesis-generating, the convergence of timing, magnitude, and institutional context renders a policy-mediated demand channel plausible. The results caution that, without complementary supply-side measures—such as social housing investment, rehabilitation incentives, or VUT regulation—demand-side subsidies may inadvertently reinforce housing inequality and reduce fiscal efficiency, thereby undermining the sustainability goals they aim to advance. Full article

Urban sustainability has increasingly emphasized accessibility and inclusivity, reflecting the growing recognition that urban planning must address the diverse needs of different social groups. In recent decades, several developed countries have pioneered inclusive urban planning, resulting in projects such as Vienna’s gender mainstreaming community and Barcelona’s Superblocks, which respond to differentiated needs in housing, transportation, and public space. However, these initiatives demonstrate how sustainable urban planning can enhance social equity and livability. Similar efforts in developing countries remain limited, fragmented, or nonexistent. This study examines representative cases from developed nations to discern fundamental principles and strategies that underpin effective inclusive urban planning. The study utilizes a case study and comparative analytic approach to clarify aspects such as transportation accessibility, safety, multifunctional community, and public space. The results suggest that incorporating inclusion into sustainable planning frameworks can enhance accessibility, promote social justice, and improve environmental resilience. The paper concludes by offering realistic, grounded suggestions for developing countries based on established best practices from around the world. The suggestions focus on strategies that can be tailored to each country’s social, cultural, and economic conditions. Full article

In disaster-prone regions facing chronic housing shortages and growing sustainability demands, modern construction methods are essential to achieving resilience, affordability, and rapid delivery. Modular construction, one of the core components of Modern Methods of Construction (MMC), offers significant potential but remains underutilized in developing contexts due to regulatory, managerial, and technical constraints. This study investigates the multi-stakeholder priorities influencing the adoption of modular construction in Indonesia, with a particular focus on Aceh, a province frequently affected by natural disasters. An integrated Analytic Hierarchy Process (AHP) and Monte Carlo simulation framework was applied to evaluate six main criteria and sixteen sub-criteria, drawing on expert input from five stakeholder groups: academics, planners, architects, consultants, and contractors. The results indicate that Managerial and Planning (0.181), Quality, Safety and Regulation (0.178), and Human Resources and Knowledge (0.174) are the most influential criteria. Among five modular alternatives, Volumetric Modular ranked highest (0.243) for its rapid deployment and disaster-resilient characteristics, followed by Panelized Modular (0.203). Monte Carlo sensitivity testing validated the robustness of these results under uncertainty. This research represents one of the first probabilistic, multi-stakeholder assessments of modular adoption in a developing-country disaster context. Policy implications highlight the urgent need for regulatory reform to standardize modular practices and workforce training programs to strengthen technical capacity, thereby accelerating resilient housing delivery in Aceh and similar regions. Full article

Urban edible greening initiatives, such as urban orchards and community fruit gardens, can deliver ecological and social benefits, but their long-term success depends on community acceptance. This study examines the establishment phase of a newly planted orchard in a housing estate in a mid-sized Czech city and operationalizes esthetic fit over time, i.e., the extent to which early-phase design is perceived as orderly, suitable, and promising using targeted items on design legibility, species–site suitability, and perceived promise. Data were collected through standardized face-to-face interviews with 150 residents, using a stratified sampling strategy. The survey elicited anticipated burdens and benefits, current and future evaluations of the orchard, and attitudes toward its care. Attitudes were measured with an adapted Urban Green Attachment Scale (UGAS). Descriptive and inferential analyses, including logistic regression and non-parametric tests, were conducted. Findings reveal that residents credited the orchard with design legibility, beauty, and ecological promise, while pragmatic concerns focused on maintenance tasks (leaf litter, watering) and questions of fruit access. Window views of the orchard and general satisfaction with the residential environment significantly increased the odds of higher attachment, while gender differences suggested varied engagement pathways. Importantly, attachment was strongly associated with stewardship intentions; residents with higher UGAS scores were more likely to defend the orchard, taste the fruit, participate in maintenance, and even support its preservation through higher property taxes. The results underscore that attachment is measurable before full ecological performance emerges, arising from a combination of design legibility and daily visibility. Practically, visible routines of care can pace expectations and sustain legitimacy. Conceptually, the study demonstrates that early-phase esthetic fit spans installation with stewardship, providing a foundation for long-term resilience and co-stewardship of edible urban greening. Full article