Search Results (451)

Floods are among the most destructive natural disasters, posing major challenges to human safety, property, and urban resilience. Effective communication of flood risk is therefore crucial for disaster preparedness and the sustainable management of smart cities. This study explores how interface design elements of flood hazard maps, including interaction modes and legend color schemes, influence users’ risk perception, decision support, and usability. An online questionnaire survey (N = 776) and a controlled 2 × 2 experiment (N = 40) were conducted to assess user comprehension, cognitive load, and behavioral responses when interacting with different visualization formats. Results show that slider-based interaction significantly reduces task completion and map-reading times compared with drop-down menus, enhancing usability and information efficiency. Multicolor legends, although requiring higher cognitive effort, improve users’ risk perception, engagement, and memory of flood-related information. These findings suggest that integrating cognitive principles into interactive design can enhance the effectiveness of digital disaster communication tools. By combining human–computer interaction, visual cognition, and smart governance, this study provides evidence-based design strategies for developing intelligent and user-centered flood hazard mapping systems. The proposed framework contributes to the advancement of smart urban resilience and supports the broader goal of building safer and more sustainable cities. Full article

Aim: This study investigated the association between frailty levels as determined by the Edmonton Frail Scale and the prevalence of perception of the risk of adverse falls in the domestic and outdoor environment among those older adults who fell so hard that they required hospital treatment (H.) and those older adults who had never encountered such a problem related to falls (C.). Predisposing and triggering factors for falls can be controlled, which is of interest from a public health perspective and, therefore, studied here. Methods: A quantitative cross-sectional study was conducted on a sample of 400 pensioners over 65 years of age from Zagreb region (1.2 million inhabitants, and more than 20% are aged 65+), which involved dividing the population into two subgroups: those who had fallen so hard that they had required hospital treatment (here marked “from Hospital”, or H.) and those who had never encountered such a problem related to falls and are registered as a pensioners in the region (here marked “from Community” or C.). The Edmonton Frail Scale and an additional questionnaire were used to assess the impact of frailty on perceptions of the risk of adverse falls in specific areas of their living environment. Data were collected by nurses using a structured questionnaire face-to-face, and a Chi-square test was used to analyze the dependency, while the z + 4 test evaluated the differences in percentage of those who are aware of a fall risk in case of moderate frailty or severe frailty among these two subgroups. Results: A statistically significant dependency was found between the degree of frailty and the prevalence of the perception of fall risk at least in one of the subgroups H. or C., especially in their homes, moving around their home, climbing up and down stairs, and in the kitchen. Comparing the prevalence of perception of the risk between C. and H., the difference in recognition of risk hazard has been significant for climbing up and down stairs. Among the major problems of non-adapted buildings are slippery floors (for C.), poorly installed or no fence at all (for H.), and inadequate or poor lighting (for H.). The perception of external obstacles (sidewalks, distance from institutions, public lighting) also increases with the deterioration of the functional state. Conclusions: The results confirm the importance of individualized adaptation of residential and public spaces in accordance with the degree of frailty. It is necessary to warn older adults about the risks of falling, both those who have not yet had this experience, as well as those who have suffered the consequences that have led to hospitalization, to reduce the frequency and consequences of falls. Full article

Differences in risk perception between frontline construction workers and managers can create communication barriers and lower the efficiency of safety management. In this study, we focused on frontline construction workers and managers and used event-related potentials (ERPs) to examine discrepancies in risk perception across two processes: hazard identification and risk judgment. During hazard identification, workers identified fewer hazards correctly than managers (p = 0.009 < 0.05). Managers also showed larger N200 amplitudes than workers (p = 0.040 < 0.05), which suggests that managers engaged conflict monitoring and inhibitory control more strongly. During risk judgment, workers responded more slowly than managers (p = 0.012 < 0.05). They also showed lower P100 (p = 0.026 < 0.05) and LPP amplitudes (p = 0.024 < 0.05), indicating weaker early visual–attentional gating and less sustained evaluative engagement with hazardous scenes. These patterns indicate that workers rely more on irrelevant information, whereas managers respond more sensitively to potential hazards. By revealing when and how role-based differences emerge, our findings offer a neurocognitive explanation for the persistent gap in risk perception and highlight specific targets for training. These insights can guide risk communication between managers and workers, extend research on risk-perception differences beyond self-report measures, and illustrate the value of ERP as a time-resolved tool for studying risk perception. Full article

Construction sites are complex environments where traditional safety monitoring methods often suffer from low detection accuracy and limited interpretability. To address these challenges, this study proposes a modular multimodal agent framework that integrates computer vision, knowledge representation, and large language model (LLM)–based reasoning. First, the CLIP model fine-tuned with Low-Rank Adaptation (LoRA) is combined with YOLOv10 to achieve precise recognition of construction activities and personal protective equipment (PPE). Second, a construction safety knowledge graph integrating Retrieval-Augmented Generation (RAG) is constructed to provide structured domain knowledge and enhance contextual understanding. Third, the FusedChain prompting strategy is designed to guide large language models (LLMs) to perform step-by-step safety risk reasoning. Experimental results show that the proposed approach achieves 97.35% accuracy in activity recognition, an average F1-score of 0.84 in PPE detection, and significantly higher performance than existing methods in hazard reasoning. The modular design also facilitates scalable integration with more advanced foundation models, indicating strong potential for real-world deployment in intelligent construction safety management. Full article

This paper is intended to present—in light of the authors’ own research—the inhabitants of Polish municipalities’ perceptions of the environmental determinants affecting the quality of life, with particular emphasis on the environmental assessment of their place of residence, the changes that have taken place in this area over the last five years as well as the key environmental hazards impacting on the quality of life, and sustainable development. The research method consisted of the following steps: (i) review of the literature, (ii) preparation of a questionnaire on the perception of the quality of the environment and environmental threats, (iii) conducting questionnaire interviews using the CAWI technique among adult residents of Poland in the period July–September 2023, (iv) statistical analysis of the results obtained. The findings of the nationwide survey indicate that respondents ranked air quality problems among the most significant environmental problems. The analysis of these surveys shows that respondents’ awareness of the most harmful factors degrading the environment varied by area. The study contributes to the development of research on the perception of environmental threats and public environmental awareness, filling a gap related to the insufficient consideration of the spatial and temporal aspects of this phenomenon in the existing Polish literature. The research results presented in the article may be useful in diagnosing the environmental determinants of quality of life. They also provide guidance for decision-makers, spatial planners, environmental protection institutions, social organisations, and educational institutions on which directions of action in the field of environmental protection and sustainable development should be implemented in a given area. Full article

The lack of standardized functional safety information limits the adoption of electric vehicles (EVs) in Brazil. This study proposes a voluntary Brazilian safety labeling program for critical EV subsystems, based on ISO 26262:2018 (Functional Safety) and ISO 21448:2022 (Safety of the Intended Functionality, SOTIF), adapted to the Brazilian regulatory context. The framework integrates (i) comparative analysis of international vehicle labeling programs; (ii) hazard analysis and risk assessment (HARA) for four critical subsystems (battery management, electric powertrain, charging system, HV cables/connectors); and (iii) a document reliability index (DRI) that weights generic relative risk (RRI_gen) by the robustness of technical documentation (Evidence Score). The DRI calculation assumes statistical independence among subsystems as a simplification, to be validated in the pilot phase. Application to a simulated dataset of 100 BEV models yielded DRI scores ranging from 1.6 to 9.3 (mean = 5.0, SD = 1.8, CV = 36.7%). Vehicles were classified into five safety classes (1–5), with approximately 85% distributed across intermediate classes 2–4, demonstrating strong discriminatory power. Results are communicated via a physical label integrated into Brazil’s National Energy Conservation Label (ENCE), with QR codes linking to detailed subsystem data. The proposal can reduce consumer risk perceptions, stimulate industrial innovation in safety documentation, support regulatory harmonization with ISO standards, and advance electric mobility adoption in emerging markets. Full article

Agriculture is one of the many sectors facing significant risks from climate change. To manage potential crop losses, whether climate-related or not, farmers widely rely on crop insurance to increase their resilience. However, farmers in Sri Lanka demonstrate a limited acceptance of crop insurance schemes. This study aimed to investigate the perceptions and Willingness-to-Pay (WTP) for crop insurance schemes among the paddy farmers in Kurunegala district. A total of 248 paddy farmers from the Kurunegala district were recruited as the study sample using the stratified random sampling approach. A pre-tested structured questionnaire and choice cards were used for primary data collection. The Conditional Logit Model (CLM) was used for data analysis. Around 77.8% of respondents were males engaged only in paddy farming, while the majority (62.5%) received an income of LKR 50,000 to 75,000. Complications experienced during the claim form-filling process (mean = 4.6), gaps in covering all crops on the crop land (mean = 4.6), and poor service quality (mean = 4.5) were perceived as the major limitations in existing crop insurance schemes. Outcomes of the CLM indicated that farmers with a positive attitude toward crop insurance significantly prefer plans with drought coverage (β = 0.823; p < 0.05), on-field assessments (β = 0.251; p < 0.05), and higher no-hazard returns (β = 0.318; p < 0.05) while showing a notable sensitivity to premium costs (β = −0.590; p < 0.05). The model also revealed an apparent willingness to switch from the status quo when presented with better-designed alternatives. The findings emphasized the need to implement responsive crop insurance schemes to enhance climate resilience and ensure the sustainability of paddy production in Sri Lanka. Full article

This article addresses the need to modernize industrial safety training in production plants, as traditional methods have proven to be ineffective and tedious. An immersive virtual environment was developed using Unreal Engine 5, based on 3D reconstructions, allowing users to interact with simulated hazards in a virtualized industrial space. The system was validated through surveys conducted with operational personnel, obtaining 100% acceptance and recommendation for implementation. The results show a high perception of realism and usefulness, positioning the environment as a viable alternative to traditional safety training methodologies. Full article

This study investigates the effectiveness of a virtual reality (VR) simulation for teaching the hand lay-up process in composite manufacturing within mechanical engineering education. A within-subjects experiment involving 17 undergraduate mechanical engineering students compared the VR-based training with conventional physical laboratory instruction. Task performance, cognitive load, and learner perceptions were measured using procedural accuracy scores, completion times, NASA-TLX workload ratings, and post-task interviews. Results indicated that while participants required more time to complete the task in VR, procedural accuracy was comparable between VR and physical labs. VR significantly reduced mental, physical, and effort-related demands but elicited higher frustration levels, primarily due to navigation challenges and motion discomfort. Qualitative feedback showed strong learner preference for VR, citing its hazard-free environment, repeatability, and step-by-step guidance. These findings suggest that VR offers a viable and pedagogically effective alternative or complement to traditional composite-manufacturing training, particularly in contexts where access to physical facilities is limited. Future work should examine long-term skill retention, incorporate haptic feedback for tactile realism, and explore hybrid models combining VR and physical practice to optimise learning outcomes. Full article

Mass timber construction (MTC) has emerged as a sustainable alternative to conventional building systems due to its low carbon footprint, high structural performance, and alignment with the principles of a circular economy. While the environmental and structural advantages of mass timber (MT) are well-documented, its occupational safety implications remain underexplored. This study examines how construction safety professionals in the United States perceive and experience safety in MT projects, and how these perceptions compare to those in conventional concrete and steel construction. To achieve this objective, the data were collected through a national web-based survey of OSHA-authorized construction safety trainers. Analyses were conducted to explore perceptions of occupational safety in MT projects, to compare safety perceptions between MT and conventional materials, and to identify construction hazards and challenges specific to MT construction. Results show that respondents with MT experience generally perceive MT projects as safer than concrete or steel, whereas those without experience tend to be more neutral. However, even among experienced safety professionals in MT, a gap persists between observed and perceived safety hazards. High rates of near misses and non-fatal injuries further indicate operational strain during MT erection. These findings underscore the need for specialized, data-driven safety training and planning frameworks tailored to MT’s distinct workflows. Targeted safety programs can help align perception with reality, thereby improving safety outcomes in this rapidly expanding sustainable construction sector. Full article

Despite the growing use of collaborative robots in high-rise construction, ensuring safe human–robot collaboration (HRC) in hazardous environments remains a critical challenge. Addressing the gap that previous studies optimized human, robot, or task factors in isolation without a systemic coordination perspective, this study develops and empirically validates a Human–Task–Robot Alignment (HTRA) framework to explain how alignment mechanisms enhance safety performance in the construction of HRC. Data from 84 high-rise HRC projects were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that HTRA serves as a pivotal mechanism for safety improvement, where Human–Robot Alignment (HRA) and Task–Human Alignment (THA) exert stronger effects on bilateral safety perception than Task–Robot Alignment (TRA), underscoring the centrality of human factors at the current stage of HRC development. Moreover, this study identifies a sequential cognitive–behavioral path from safety perception to safety intention and safety behavior performance, explaining how alignment enhances safety performance. Standardized HRC guidelines further strengthen HRA, facilitating safer and more efficient collaboration. This study extends Task–Technology Fit theory to a triadic human–task–robot context and advances the concept of bilateral safety, providing theoretical and managerial guidance for developing next-generation safe collaboration systems in construction. Full article

This study investigated Cenchrus purpureus in the southern part of the Gaoligong Mountains and quantified its invasion risk using an integrated approach. We combined the Drivers–Pressures–State–Impacts–Responses (DPSIR) model, Analytic Hierarchy Process (AHP), Structural Equation Modeling (SEM), and Traditional Ecological Knowledge (TEK). We adopted non-random sampling techniques to conduct a survey on the cognition, hazards, utilization and management of C. purpureus among 402 respondents from 25 villages. Our results classify C. purpureus as a medium-risk species (Level II). We identified a central socio-ecological dilemma: while 36.1% of communities use it for fodder, 54% report that it causes soil degradation, signaling potential long-term agricultural losses. SEM analysis confirmed that the willingness to manage the invasion is directly influenced by these usage patterns and risk perceptions. The traditional ecological knowledge of Cenchrus purpureus was highly consistent with scientific assessment, validating its use as an early warning indicator. Therefore, our study validates a multidisciplinary framework that integrates models (DPSIR, AHP, SEM) with traditional knowledge for a holistic assessment of C. purpureus invasion. This approach offers a replicable strategy for ecosystem management in global biodiversity hotspots in the mountainous regions. Full article

This study addresses the construction and perception of risk and the role of the news media through a case study on radon gas, a carcinogenic, persistent hazard with a significant impact on public health, which typically flies under the radar of public opinion. The research is based on a survey (N = 1985) that targeted residents of Spain aged 18 or older. We evaluated cognitive and contextual factors, media consumption, and awareness of radon communication actions and developed a model to explain individual risk perception. The population’s knowledge about the different aspects of the risk of radon gas is moderate and uneven. A key element is the level of radon incidence among Spain’s autonomous communities. The main factors that explain the perception of radon risk are one’s perceived likelihood of being affected by radon, followed by gender and cognitive factors. The results demonstrate a strong correlation between media-disseminated information and public knowledge, but a weaker correlation between such information and protective actions, which are more closely tied to interpersonal and local communication. This study provides insights into addressing new societal risks and will help to create communication tools and analyses that avoid panic and promote responsible actions during crises. Full article

The rapid digitalization of work and daily life has introduced a wide range of online threats, from common hazards such as malware and phishing to emerging challenges posed by artificial intelligence (AI). While technical aspects of cybersecurity have received extensive attention, less is known about how individuals perceive digital risks and how these perceptions shape protective behaviors. Building on the psychometric paradigm, this study investigated the perception of seven digital threats among a sample of 300 Italian workers employed in IT and non-IT sectors. Participants rated each hazard on dread and unknown risk dimensions and reported their cybersecurity expertise. Optimism bias and proactive awareness were also detected. Cluster analyses revealed four profiles based on different levels of dread and unknown risk ratings. The four profiles also differed in reported levels of expertise, optimism bias, and proactive awareness. Notably, AI was perceived as the least familiar and most uncertain hazard across groups, underscoring its salience in shaping digital risk perceptions. These findings highlight the heterogeneity of digital risk perception and suggest that tailored communication and training strategies, rather than one-size-fits-all approaches, are essential to fostering safer online practices. Full article

Cabbage (Brassica oleracea Linnaeus) is an important vegetable crop for food security and income generation for farmers in the Democratic Republic of Congo (DRC). However, production is severely undermined by a complex of insect pests. This study investigates farmers’ knowledge, perception, and pest management practices in key cabbage-growing areas surrounding Goma city in Eastern DRC. A total of 430 farmers were interviewed using a structured survey administered via the KoboToolbox platform. The diamondback moth (Plutella xylostella Linnaeus, 1758) and the cabbage aphid (Brevicoryne brassicae Linnaeus, 1758) were identified as the main pests, with peak incidences reported during the dry mid-season. Pest damages are most frequently observed at the post-transplanting and heading stages of cabbage. Although chemical control was the dominant strategy (69.4%), concerns arise due to the widespread use of moderately to highly hazardous insecticides, including pyrethroid, organophosphorus, and avermectin-based formulations. The insufficient use of personal protective equipment (PPE) and limited training on safe pesticide handling remain further challenges. While indigenous practices, such as crop rotation, handpicking of insects, and the use of botanical extracts, are employed to a lesser extent, awareness and implementation of biological control are almost nonexistent. The findings underscore the need to promote integrated pest management (IPM) approaches based on agroecological principles, including the safe use of (bio-)pesticides, training programs, and stakeholder engagement to enhance sustainable cabbage production. Full article