Search Results (7,863)

A prediction methodology for the mid-span deflection of fatigue-damaged RC beams subjected to chloride-induced corrosion is proposed, incorporating the coupled effects of fatigue stress levels and localized pitting corrosion in steel reinforcement. The reliability of the methodology is validated through experimental comparisons. The effects of fatigue stress are quantified via two mechanisms: degradation of the concrete elastic modulus and the development of fatigue-induced cracks in the steel reinforcement, which reduces its effective cross-sectional area. Pitting corrosion is simplified as equivalent surface cracks. To determine the chloride concentration within the concrete cover for predicting steel pit depth, a 3D meso-scale model is developed to simulate chloride ingress in fatigue-damaged concrete. The concrete is treated as a three-phase composite composed of coarse aggregate, mortar matrix, and the interfacial transition zone (ITZ), and each phase has its own diffusion coefficient. Based on previous chloride concentration tests, the effect of fatigue loading is considered by the accelerated and depth-dependent diffusion coefficients. Based on the meso-scale simulation results, mid-span deflections of fatigue-damaged RC beams under varying chloride exposure durations are predicted. The findings conclusively demonstrate that, under prolonged chloride erosion, the mechanical stress state remains the predominant factor governing structural deformation, overshadowing time-dependent corrosion effects. Full article

This study examines how different types of word-of-mouth (WOM) influence online purchase intention (OPI) among rural residents, an area not yet fully explored. Based on social tie strength theory, we classify WOM into “quantity-sourced” (e.g., friends, family, general consumers) and “quality-sourced” (e.g., influencers, celebrities, professionals). We propose a chain mediation model involving social distance (SD) and perceived value (PV). Using survey data from 1005 rural residents in Jiangxi Province, China, and analyzing the data with structural equation modeling (SmartPLS 4), we find that quantity-sourced WOM positively affects OPI (β = 0.135), while quality-sourced WOM negatively affects it (β = −0.166). Mechanism analysis shows SD is a key mediator: quantity-sourced WOM shortens SD, thereby increasing OPI (β = 0.152), whereas quality-sourced WOM widens SD, reducing OPI (β = −0.047). PV mediates between quantity-sourced WOM and OPI (β = 0.043), but it shows no significant mediation between quality-sourced WOM and OPI (β = −0.002). Additionally, SD and PV serve as chain mediators between both types of WOM and OPI. These findings extend WOM theory to rural contexts and offer practical insights for governments and e-commerce platforms to develop differentiated WOM strategies and build localized WOM networks. Full article

Rockfall typically involves repeated impacts that induce progressive damage and fragmentation in rock masses. To investigate the mechanism governing this process under different impact velocities, a series of controlled impact tests were conducted using a newly developed compressed gas-driven rock impact apparatus. This study systematically examined the effect of impact velocities and number on rock damage, distinguishing between internal damage (<10.0 m/s) and local failure (10.0 m/s–20.0 m/s). At the internal damage level, uniaxial compression tests with acoustic emission monitoring were employed to analyze the macro-mechanical properties and micro-failure processes of granite. At the local failure level, the repeated impact number required to transition from localized to complete failure was recorded, and polarizing microscopy was used to characterize microstructural evolution. The results show that damage and failure mechanisms are strongly influenced by both impact velocity and repeated impact number. Specifically, higher impact velocities and repeated impacts promote a shift toward brittle failure, with threshold behaviors observed at 5.0 m/s (fourth impact) and 7.5 m/s (third impact). A quantitative analysis further correlates impact conditions with mechanical degradation and energy evolution, providing insight into the underlying processes controlling rockfall fragmentation. Full article

Nanomaterial-based systems (NBS) have emerged as transformative elements in advanced surface engineering, offering superior corrosion resistance, mechanical strength, and tribological resilience governed by unique phenomena inherent to the nanoscale. However, bridging the knowledge gap between these enhanced physicochemical properties and the metrological tools required to quantify them remains a critical challenge. This review provides a comprehensive examination of the fundamental mechanisms, state-of-the-art experimental techniques, and computational strategies employed to probe NBS behavior. The article first elucidates the core mechanisms driving performance, including passive barrier formation, stimuli-responsive active corrosion inhibition, grain boundary strengthening, and the formation of protective tribo-films by 2D nanomaterial-based systems. Subsequently, the article evaluates the transition from conventional macroscopic testing to high-resolution in situ characterization, highlighting the capabilities of High-Speed Atomic Force Microscopy (HS-AFM), Liquid Cell Transmission Electron Microscopy (LC-TEM), and nanoindentation in visualizing dynamic defect evolution and measuring localized mechanical responses. Furthermore, the indispensable role of computational materials science—specifically Molecular Dynamics (MD) and Machine Learning (ML)—in predictive modeling and elucidating atomic-scale interactions is discussed. Finally, persistent challenges regarding substrate interference, sample heterogeneity, and instrumentation limits are addressed, concluding with a perspective on future research directions focused on standardization, operando testing, and the development of AI-driven “Digital Twins” for accelerated testing and material optimization. Full article

Policy misalignment is a key factor affecting the implementation of solid waste management policies and resolving such a misalignment is critical to advancing the solid waste disposal capacity (SWDC) and supporting the goal of a “zero-waste city”. This policy misalignment indicator provides a measurable tool to track progress toward Sustainable Cities and Communities. This study used panel data from 281 cities at the prefecture level and above from 2018 to 2022. The study involved constructing an original database of central and provincial policy documents on urban waste governance and transforming the policy documents into an indicator to capture the degree of policy misalignment, which serves as the key explanatory variable in a fixed-effects model. The study further examined how fiscal decentralization, the digital economy, and regional and administrative characteristics influence cities’ responses to policy misalignments. These factors serve a vital function in moderating the effects of misalignment and explaining heterogeneity across cities. The empirical results show that a vertical policy misalignment significantly reduced the solid waste disposal capacity, while fiscal decentralization and digital economy development mitigated its negative effects. The adverse impacts were particularly pronounced in non-key cities, eastern regions, and cities with low government attention, highlighting the role of local capacity and administrative focus in mediating cross-level policy impacts. The heterogeneous effects observed across city types further offer targeted insights for designing sustainability-oriented waste management policies, enabling regions to tailor interventions based on their administrative capacity and development context. Full article

Tourism is a key driver of regional economies, but concerns are often raised about the effectiveness with which public resources are managed and translated into tangible outcomes. Despite its importance, research on the efficiency of public spending on tourism remains scarce and mostly confined to national scales. Therefore, this study examines how Apulian municipalities (Italy) convert public tourism expenditure into measurable tourism results, providing new evidence on the efficiency of local governance in this sector. The analysis applies a two-step econometric framework combining Stochastic Frontier Analysis (SFA) and Multiple Linear Regression to data from 247 municipalities over the period from 2020 to 2023. The results reveal generally low average efficiency levels, with only a few coastal destinations achieving high performance. The regression analysis identified key structural and territorial drivers of efficiency, including accommodation capacity, cultural production, coastal and environmental quality, and the presence of agritourism and campsites. The findings suggest that efficiency depends more on the ability of local administrations to coordinate tourism, cultural, and environmental policies than on the amount of spending. Overall, the study provides empirical evidence that an efficient allocation of tourism funds is crucial for achieving long-term sustainability goals, offering practical insights for designing more effective tourism policies. Full article

Urban inland flooding has become a serious problem in many cities because heavy rain often exceeds the capacity of drainage systems. In Japan, GIS-based evacuation maps are commonly used to support disaster preparedness, but they still have several limitations. In particular, they do not avoid flooded road segments and cannot generate multiple evacuation options at the same time. This study proposes an improved evacuation route method using the free and open-source software QGIS. The method combines flood-depth data with road network processing to remove roads where the predicted water depth is higher than 0.5 m. It also provides several evacuation paths to different shelters at the same time. A case study in Kurashiki City, Okayama Prefecture, demonstrates that about 1.37% of the road network becomes unusable during an inland-flood scenario. Several existing evacuation routes also pass through hazardous areas, but the QGIS-based method avoids these areas in most cases. Since the workflow uses only built-in QGIS functions and does not require programming or plug-ins, it is easy to reproduce and apply in other regions. This study offers a practical and low-cost method to support inland-flood evacuation planning for local governments. Full article

In governance systems that face multiple tasks and limited administrative capacity, the allocation of governmental attention is central to policy implementation. Existing studies emphasize institutional constraints and resource scarcity. However, the influence of incentive mechanisms on attention allocation remains insufficiently explored. This study examines how different configurations of incentive mechanisms shape governmental attention. It uses data from veterans affairs in 36 townships in District X between 2020 and 2025. Drawing on official documents, performance rankings and in-depth interviews, the study applies fuzzy set qualitative comparative analysis (fsQCA) to identify patterns of attention formation. The analysis identifies three configurations of incentive mechanisms that generate high levels of attention concentration. A competition-driven configuration combines value incentives, ranking incentives and performance incentives. An honor compensatory configuration connects honorary recognition with value incentives. This configuration continues to function effectively even when promotion incentives or performance incentives are not available. A configuration that combines honorary recognition, promotion opportunities, value incentives and performance incentives forms the most stable pattern of attention concentration. This combination strengthens officials’ motivation in several dimensions and ensures consistent behavioral responses across different contexts. These results show that governmental attention arises from combinations of incentive mechanisms instead of single instruments. This study examines incentive mechanisms that influence governmental attention allocation. It develops a configurational explanation that integrates attention at the organizational level and at the individual level. The study further proposes a design approach for incentive structures that can improve the efficiency of attention incentives and support effective policy implementation. Full article

Cyclo[48]carbon (C48) exhibits an aesthetically pleasant structure featuring a cyclic polyyne, and it serves as a prototypical medium-sized ring that moves us towards an understanding of its overall magnetic behavior in a challenging molecular shape through analysis of its induced magnetic field. The isotropic induced magnetic field (NICS) profile shows a strong deshielding region at the ring center and a shielding region near the carbon rim, indicating antiaromatic behavior. Under a perpendicular magnetic field, a pronounced deshielding cone extends from the ring center, whereas a parallel external field induces a localized shielding near the carbon backbone. This results in significant magnetic anisotropy above and below the ring plane, characteristic of its medium-sized cyclic structure. Decomposition of the magnetic shielding highlights that paramagnetic effects predominantly govern the magnetic response and anisotropy of C48, with diamagnetic contributions playing a minor role. These insights suggest that chemical modifications targeting frontier orbitals could effectively tune the magnetic properties of cyclo[48]carbon, providing a foundation for the design of substituted derivatives with tailored diamagnetic anisotropy for advanced material applications. Full article

Enhancing herders’ livelihoods is essential in balancing human–land interactions and promoting inclusive, sustainable development within protected area management. Using a household survey (N = 3539; March–June 2025) and a mixed-methods quantitative approach (weighted TOPSIS, obstacle degree, Spatial Durbin Model, and hierarchical regression), we assessed household livelihood resilience in the Lancang River source area of Sanjiangyuan National Park. Key findings included the following. Overall livelihood resilience was moderate, with a mean score of 0.411. This was characterized by a marked weakness in learning capacity (0.358) and relative strength in self-organization (0.431). Major barriers to resilience included cooperative participation (obstacle degree: 8.14%), education levels (7.58%), skills training (7.18%), household savings (6.40%), and information acquisition abilities (5.97%). The spatial analysis revealed a core-periphery pattern of resilience, evidenced by significant negative spatial autocorrelation (W×HLR coefficient = −0.787, p = 0.001), suggesting competitive interactions among villages. Within this pattern, cooperative participation induced significant positive spatial spillovers (W×X₈ coefficient = 0.147, p < 0.001), while benefits derived from information acquisition abilities remained localized (Direct Effect = 0.061, p < 0.001). The pathways to resilience were associated with household heterogeneity. Associations between key factors and resilience varied across demographic groups, with women and youth benefiting more from skills training and education. Livelihood strategies were linked to information utilization, with cordyceps-dependent households exhibiting greater sensitivity to information acquisition abilities (interaction coefficient = 0.009, p = 0.009). The institutional environment shaped organizational benefits; the positive association with cooperative participation diminished in the core protected zone (interaction coefficient = −0.011, p = 0.036). These findings highlight household heterogeneity as a key factor influencing diverse resilience pathways. They also emphasize the need for targeted, spatially specific, and group-oriented governance strategies. Full article

When it rains or snows over a city, water droplets capture airborne pollutants and transport them to the ground. Prolonged precipitation over the same area can remove a larger amount of pollution; however, rainfall systems vary in duration and tend to move rapidly across regions. Wet deposition sprinklers replicate this natural scavenging process. They can operate for extended periods as needed and can be installed at specific locations where pollution mitigation is most necessary. Despite encouraging experimental results and the widespread use of similar technologies in industrial sectors—such as mining, the construction industry, and waste management—very limited scientific research has focused on their application in urban environments. In particular, their use as an emergency measure during severe pollution episodes as a protective intervention for sensitive subjects, while awaiting the effects of long-term structural solutions, remain largely unexplored. In the present work, we systematically discuss the key elements required to design and implement a network of anti-smog cannons (ASC) to protect sensitive receptors from severe air pollution events in large cities. Based on this analysis, we established a generalized framework that can be applied to any urban context worldwide. We also examine the potential application of the proposed method to the city of Turin (≈850,000 inhabitants, north-western Italy), which is considered a representative case study for other cities in Western Europe. Our findings indicate that such a network is both technically feasible and economically sustainable for local government authorities. Full article

This study examines participatory approaches to manage geo-hydrological risks associated with climate change, focusing on floods, landslides, and coastal erosion. The objective is to map hazards, participatory methods and tools, communication channels, stakeholder consultations, and governance scales involved. Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for systematic reviews and covering the period 2000–2024, it analyses 236 peer-reviewed articles from Europe. It also examines 49 practical case studies from three Italian Public Consultation platforms, complementing the Europe-wide academic corpus to inform transferability to Italian governance setting. Results highlight a dominant academic emphasis on flood risks and climate change adaptation, likely driven by recent disasters and global policy initiatives, whereas landslides, coastal erosion, and integrated geo-hydrological risks remain underrepresented. Surveys, semi-structured interviews, and workshops are the most common consultation approaches, with more structured tools mainly preferred in multi-hazard settings to ensure comparability. Dissemination relied largely on face-to-face and online channels, while innovative approaches such as creative workshops and citizen-science initiatives are emerging. Stakeholder involvement typically included citizens, local authorities, experts, and voluntary associations, whereas key intermediaries such as local media, insurance agencies, cultural institutions, and universities are seldom engaged. Overall, the review identifies priorities for thematic diversification, integration of multi-hazard perspectives, improved methodological reporting, and broader inclusivity to strengthen participatory climate-risk governance. Full article

Tensile behavior governs the seismic safety of high concrete dams. This study integrates testing with mesoscale simulation to elucidate the tensile-failure mechanisms of dam fully graded concrete. Uniaxial tension, splitting tension, and flexural tests were performed on 450 mm-scale specimens using a 15 MN servo-hydraulic system. A two-dimensional random-aggregate model was then developed with globally inserted cohesive interfaces, and parameters were calibrated against the tests. Across ten random aggregate mesoscale models per loading case, simulations reproduced the measured responses. Predicted failure patterns matched observations, with cracks initiating along interfacial transition zones (ITZs), linking through mortar, and forming through-cracks. Quantified damage evolution revealed three stages—elastic response, ITZ crack initiation and extension, and mortar penetration—with >80% of cumulative damage localized in ITZs. One-at-a-time sensitivity analyses showed that (i) mortar tensile strength primarily controls peak strength but increases brittleness; (ii) ITZ tensile strength governs crack-initiation stress, ITZ shear strength shapes splitting-failure mode, and fracture energies mainly delay post-peak softening; and (iii) aggregate parameters exert comparatively weak influence on macroscopic behavior. The combined experimental–mesoscale framework provides mechanism-based guidance for selecting material parameters in seismic analyses, supporting performance-informed design and assessment of high dams. Full article

Urban modeling is being reshaped by advances in artificial intelligence (AI) and data-rich sensing. This review assembles an integrated evidence base connecting spatial dynamic modeling (SDM), planning support systems (PSSs), urban analytics, and governance concerns. We analyze 1290 publications (2000–2025) using a reproducible pipeline that combines structured literature retrieval with retrieval-augmented generation (RAG) for semantic screening and evidence extraction. Bibliometric mapping and a rigorous coding framework structure the synthesis. The results reveal three linked trajectories. First, SDM has progressed from rule-based simulation toward learned spatial representations using deep and multimodal learning. Second, PSS has evolved from static analytical tools to interactive and participatory environments that embed AI for scenario exploration and stakeholder engagement. Third, governance themes such as transparency, fairness, and accountability have gained importance but remain unevenly implemented in modeling workflows. Building on these findings, we advance AI-aligned SDM, which integrates explainability, uncertainty reporting, documentation, and participation into model design to strengthen institutional accountability and evidence-based planning. A forward research agenda emphasizes methodological fusion between simulation and learning, institutional design for continuous model stewardship, and epistemic pluralism connecting local knowledge with AI to advance equitable and transparent urban governance. Full article

Many Australian suburbs are threaded with open drainage networks. However, a preoccupation with drainage functions means that most of this drainage land delivers few liveability benefits to surrounding communities. As a result, numerous Local and State Governments are engaged in providing Living Stream upgrades to drainage land. Nonetheless, questions remain about where such improvements should be targeted for maximum benefit. In response, this paper documents a Delphi survey of experts and a related geospatial suitability analysis using a wide-ranging set of urban, societal, and environmental criteria to determine which areas of drainage land are most suitable for upgrades in Perth, Western Australia, a city which experiences a Mediterranean climate. The novelty of the paper’s contribution stems from the highly seasonal rainfall and related ephemeral summer hydrology distinguish Perth from many other cities where Water-Sensitive Urban Design is well-established. Moreover, the inclusion and evaluation of both tangible criteria (e.g., areas with a shortage of Public Open Space) and more intangible criteria (e.g., areas with population experiencing psychological distress) in the suitability analysis are comparatively rare. The results indicate that Living Stream-oriented Public Open Space should be deployed in areas with limited Public Open Space reserves, urban forest degradation, increasing urban densification, and Urban Heat Island challenges. Full article