Search Results (288)

Understanding the carbon emissions of multimodal travel—comprising walking, metro, bus, cycling, and ride-hailing—is essential for promoting sustainable urban mobility. However, most existing studies focus on single-mode travel, while underlying spatiotemporal and behavioral determinants remain insufficiently explored due to the lack of fine-grained data and interpretable analytical frameworks. This study proposes a novel integration of high-frequency, real-world mobility trajectory data with interpretable machine learning to systematically identify the key drivers of carbon emissions at the individual trip level. Firstly, multimodal travel chains are reconstructed using continuous GPS trajectory data collected in Beijing. Secondly, a model based on Calculate Emissions from Road Transport (COPERT) is developed to quantify trip-level CO₂ emissions. Thirdly, four interpretable machine learning models based on gradient boosting—XGBoost, GBDT, LightGBM, and CatBoost—are trained using transportation and built environment features to model the relationship between CO₂ emissions and a set of explanatory variables; finally, Shapley Additive exPlanations (SHAP) and partial dependence plots (PDPs) are used to interpret the model outputs, revealing key determinants and their non-linear interaction effects. The results show that transportation-related features account for 75.1% of the explained variance in emissions, with bus usage being the most influential single factor (contributing 22.6%). Built environment features explain the remaining 24.9%. The PDP analysis reveals that substantial emission reductions occur only when the shares of bus, metro, and cycling surpass threshold levels of approximately 40%, 40%, and 30%, respectively. Additionally, travel carbon emissions are minimized when trip origins and destinations are located within a 10 to 11 km radius of the central business district (CBD). This study advances the field by establishing a scalable, interpretable, and behaviorally grounded framework to assess carbon emissions from multimodal travel, providing actionable insights for low-carbon transport planning and policy design. Full article

This study aimed to re-evaluate a historical war supply route within the context of cultural tourism, to revitalize its natural, historical, and cultural values, and to integrate it with existing hiking and trekking routes. Remote sensing (RS) and geographic information system (GIS) technologies were utilized, and land surveys were conducted to support the analysis and validate the existing data. Data for slope, one of the most critical factors for hiking route selection, were generated, and the optimal route between the starting and destination points was identified using least cost path analysis (LCPA). Historical, touristic, and recreational rest stops along the route were mapped with precise coordinates, and both the existing and the newly generated routes were assessed in terms of their accessibility to these points. Field validation was carried out based on the experiences of expert hikers. According to the results, the length of the existing hiking route was determined to be 15.72 km, while the newly developed trekking route measured 17.36 km. These two routes overlap for 7.75 km, with 9.78 km following separate paths in a round-trip scenario. It was concluded that the existing route is more suitable for hiking, whereas the newly developed route is better suited for trekking. Full article

Promoting environmental stewardship among youths is crucial for inspiring collaborative, multi-generational actions to tackle long-term environmental challenges. This research study explores the impact of an environmental education (EE) field trip, which highlighted wastewater management and renewable energy technology, on high school students using the revised new ecological paradigm (NEP) scale as a key metric in a pre-post survey, which uses traditionally pro (NEP) and anti (dominant social paradigm, DSP) conservationist statements to measure beliefs towards the environment. When applying the Wilcoxon signed-rank test (null hypothesis t = 0, no change) to the series of environmental stewardship action questions “___ is an extremely important part of protecting the environment”, we identified ten out of the thirteen scale questions to show significant change, all of which were positive. Additionally, the overall impact score was positive and significant (p ≤ 0.05). This finding demonstrates that respondents felt more strongly that these variables played a role in protecting the environment after experiencing the field trip. This suggests that exposure to environmental management intervention strategies utilizing man-made infrastructure and technology may enhance human capability to positively influence the environment and mitigate environmental threats, potentially alleviating concerns about environmental issues. These results suggest that environmental stewardship in youth needs to be reconceptualized in an increasingly STEM-focused world, and a new metric should be developed to assess environmental beliefs. Full article

Bilateral teleoperation systems have been widely used in many fields of robotics, such as industrial manipulation, medical treatment, space exploration, and deep-sea operation. Delays in communication, known as an inevitable issues in practical implementation, especially for long-distance operations and challenging communication situations, can destroy system passivity and potentially lead to system failure. In this work, we address the time-delayed three-channel teleoperation design problem to guarantee system passivity and achieve high transparency simultaneously. To realize this, the three-channel teleoperation structure is first reformulated to form a two-channel-like architecture. Then, the wave variable technique is used to handle the communication delay and guarantee system passivity. Two novel wave variable compensators are proposed to achieve delay-minimized system transparency, and energy reservoirs are employed to monitor and regulate the energy introduced via these compensators to preserve overall system passivity. Numerical studies confirm that the proposed method significantly improves both kinematic and force tracking performance, achieving near-perfect correspondence with only a single-trip delay. Quantitative analyses using Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Dynamic Time Warping (DTW) metrics show substantial error reductions compared to conventional wave variable and direct transmission-based three-channel teleoperation approaches. Moreover, statistical validation via the Mann–Whitney U test further confirms the significance of these improvements in system performance. The proposed design guarantees passivity with any passive human operator and environment without requiring restrictive assumptions, offering a robust and generalizable solution for teleoperation tasks with communication time delay. Full article

Adhesion between Schwann cells (SCs, a type of glial cell in the peripheral nervous system) and their underlying substrates is a fundamental process that holds critical importance for the proper functioning of the peripheral nervous system. Conducting further in-depth research into the adhesion mechanisms of nerve cells is of paramount significance, as it can pave the way for the development of highly effective biomaterials and facilitate the repair of nerve injuries. Thyroid Receptor Interaction Protein 6 (TRIP6), a member of the ZYXIN family of LIM domain-containing proteins, serves as a key component of focal adhesions. It plays a pivotal role in regulating a diverse array of cellular responses, including the reorganization of the actin cytoskeleton and cell adhesion. Accumulated data indicate that RSC96 cells (rat Schwann cells), which are rat Schwann cells, exhibit integrin-based mechanosensitivity during the initial phase of adhesion, specifically within the first 24 h. This enables the cells to sense and respond to alterations in matrix stiffness. The results of immunofluorescence staining experiments revealed intriguing findings. An increase in matrix stiffness not only led to significant changes in the morphological parameters of RSC96 ells, such as circularity, aspect ratio, and cell spreading area, but also enhanced the expression levels of TRIP6, focal adhesion kinase (FAK), and vinculin within these cells. These changes collectively promoted the adhesion of RSC96 cells to the matrix. Furthermore, when TRIP6 expression was silenced in RSC96 cells cultured on hydrogels, a notable decrease in the expression of both FAK and vinculin was observed. This, in turn, had a detrimental impact on cell adhesion. In summary, the present study strongly suggests that TRIP6 may play a crucial role in promoting the adhesion of RSC96 cells to polyacrylamide hydrogels with varying stiffness. This research not only offers a fresh perspective on the study of the integrin-mediated force regulation of cell adhesion but also lays a solid foundation for potential applications in tissue engineering, regenerative medicine, and other related fields. Full article

Large-scale traffic simulations at a microscopic level can mimic the physical reality in great detail so that innovative transport services can be evaluated. However, the simulation times of such scenarios is currently too long to be practical. (1) Background: With the availability of Graphical Processing Units (GPUs), is it possible to exploit parallel computing to reduce the simulation times of large microscopic simulations, such that they can run on normal PCs at reasonable runtimes?; (2) Methods: ParSim, a microsimulator with a monolithic microsimulation kernel, has been developed for CUDA-compatible GPUs, with the aim to efficiently parallelize the simulation processes; particular care has been taken regarding the memory usage and thread synchronization, and visualization software has been optionally added; (3) Results: The parallelized simulations have been performed by a GPU with an average performance, a 24 h microsimulation scenario for Bologna with 1 million trips was completed in 40 s. The average speeds and waiting times are similar to the results from an established microsimulator (SUMO), but the execution time is up to 5000 times faster with respect to SUMO; the 28 million trips of the 24 h San Francisco Bay Area scenario was completed in 26 min. With cutting-edge GPUs, the simulation speed can possibly be further reduced by a factor of seven; (4) Conclusions: The parallelized simulator presented in this paper can perform large-scale microsimulations in a reasonable time on readily available and inexpensive computer hardware. This means microsimulations could now be used in new application fields such as activity-based demand generation, reinforced AI learning, traffic forecasting, or crisis response management. Full article

While educational excursions are widely acknowledged to enhance student learning through immersive, real-world experiences, there is limited research on how students can best capture and retain knowledge during such activities. Traditional note-taking methods, such as pen and paper or digital devices, may be inadequate for recording spatial or multimodal information encountered in these dynamic environments. With the emergence of mixed reality (MR) technologies, there is an opportunity to explore spatial, immersive note-taking that aligns with the dynamic nature of field-based learning. This study compares the effectiveness of mixed reality, pen and paper, and digital note-taking during educational excursions. A total of 50 participants in grades 7 through 12 used the Apple Vision Pro headset for mixed reality notes, mobile phones for digital notes, and clipboards paired with a pen and paper for traditional notes. The information encountered was categorised as physical, textual, or video-based. The effectiveness was evaluated through three measures: content extracted and organised in notes, post-activity quizzes on retention and critical thinking, and participant feedback. For physical information, mixed reality significantly improved the content extraction and retention. For textual information, mixed reality yielded more content, but pen and paper outperformed it in terms of organisation. Statistically, all the note-taking methods were equally effective in the remaining aspects. Although mixed reality shows potential to be integrated into educational excursions, participant feedback highlighted discomfort with the headset, suggesting that mixed reality should complement, not replace, traditional approaches. Full article

Spain’s energy transition poses the dual challenge of managing renewable curtailment and enhancing the competitiveness of concentrated solar power (CSP) technologies. This study evaluates the suitability of replacing molten salts with solid particles for energy storage and, additionally, explores the storage of surplus electricity from grid in Carnot batteries. Four scenarios were analyzed using a Gemasolar-type plant model: each storage medium was studied with and without the integration of curtailed electricity. The solar field was modeled with SAM (System Advisor Model), while curtailment data from Red Eléctrica de España (2016–2021) quantified the available surplus. Results show that solid particles lead to 7.4% higher annual electricity production compared to molten salts, mainly due to improved power cycle efficiency. The integration of curtailment increased output further, with the solid particle Carnot battery scenario achieving the highest performance (up to 19.0% sun-to-electricity efficiency and 69.7% capacity factor). However, round-trip efficiency for curtailment storage was limited (~25–27%), and although solid particles showed lower LCOE (levelized cost of energy) than salts (192 vs. 211 USD/MWh), the Carnot battery increased costs. These findings suggest that while solid particles offer clear advantages, the economic viability of Carnot batteries remains constrained by current cost and operational limitations. Full article

This paper presents a comprehensive analytical framework for investigating loss mechanisms and thermal behavior in high-speed magnetic field-modulated motors for flywheel energy storage systems. Through systematic classification of electromagnetic, mechanical, and additional losses, we reveal that modulator components constitute approximately 45% of total system losses at rated speed. Finite element analysis demonstrates significant spatial non-uniformity in loss distribution, with peak loss densities of 5.5 × 10⁵ W/m³ occurring in the modulator region, while end-region losses exceed central-region values by 42% due to three-dimensional field effects. Our optimized design, implementing composite rotor structures, dual-material permanent magnets, and integrated thermal management solutions, achieves a 43.2% reduction in total electromagnetic losses, with permanent magnet eddy current losses decreasing by 68.7%. The maximum temperature hotspots decrease from 143 °C to 98 °C under identical operating conditions, with temperature gradients reduced by 58%. Peak efficiency increases from 92.3% to 95.8%, with the η > 90% region expanding by 42% in the speed–torque plane. Experimental validation confirms model accuracy with mean absolute percentage errors below 4.2%. The optimized design demonstrates 24.8% faster response times during charging transients while maintaining 41.7% smaller speed oscillations during sudden load changes. These quantitative improvements address critical limitations in existing systems, providing a viable pathway toward high-reliability, grid-scale energy storage solutions with extended operational lifetimes and improved round-trip efficiency. Full article

Alfalfa (Medicago sativa) is an important fodder crop with 16–25% protein and 20–30% fibre content. It requires pollinators for seed development through a process known as “tripping”. Honey bees are preferred for their easy management and mass rearing to enhance pollination. In a field experiment, we tested three treatments: two honey bee colonies (moderately supplemented), three honey bee colonies (highly supplemented), and a control with no honey bee colonies. The colonies European honey bee, A. mellifera, were used, starting at the flowering stage. We assessed the abundance, foraging, and tripping behaviour of pollinators, as well as the number of seeds per pod, pod weight, and seed weight. Honey bees were the most abundant in supplemented plots, followed by solitary bees, with increased honey bee visitation in the second year. Megachile cephalotes, M. hera, and A. mellifera were the most efficient pollinators regarding seeds per pod and seed weight. The plot with two honey bee colonies had a higher seed yield than the one with three colonies. Conservation of these pollinators and the introduction of managed A. mellifera colonies can lead to sustainable alfalfa seed production. Our findings suggest that honey bee supplementation, along with conservation efforts for solitary bees, can enhance pollination and seed yield in alfalfa. Full article

To implement the “Green Transition” in civil engineering, this study provides a new critical perspective analyzing the sustainability measures adopted by two European megaprojects. Government regulations and legislation, reward mechanism, technological innovations, the carbon evaluation system as well as tracking and monitoring systems are further discussed in this research to manage megaprojects in a more sustainable way. Document reviews, field trips (both exhibition area and construction sites), and in-depth interviews with relevant stakeholders were conducted regarding two European megaprojects, namely the A16 Ring Road in the Netherlands and Fehmarnbelt Tunnel in Denmark, when it comes to sustainability transitions. Notwithstanding the regional limitations of the selected case studies, the results illustrate that the implemented policies and regulations promote the sustainability transitions in projects and lead to environmental and societal benefits. Among the others, the requirement to quantify the carbon emissions is a central step during the tendering and execution phases of the megaprojects. Future studies need to comprehensively address the challenges related to project management and sustainable transitions as well as delve into other possible practices implemented locally in different locations. Local policies and regulations, innovation in technology and materials as well as the quantification of environmental impacts are key aspects to accelerate such change towards carbon neutrality. Full article

Traditional lectures in architectural engineering often fall short of effectively conveying practical applications. This study introduces a hybrid teaching approach that integrates structured field trips with traditional lectures based on Kolb’s four-step experiential learning cycle to address this. An experimental design was implemented to assess the impact of this method on achieving core Course Learning Outcomes (CLOs). Using SPSS, independent-sample t-tests, and one-way ANOVA, we compared CLO scores across intervention groups, student seniority levels, and field trip frequency. At the same time, multiple linear regression analyses were used to analyze the influence of students’ attitudes, prior experiences, and enjoyment on the CLO scores. CLO achievement was further validated through the Course Learning Outcome Analysis Tool (COAT). The findings reveal that students exposed to field trips performed significantly better, particularly freshmen and junior students, who showed greater knowledge gains than their senior peers. Additionally, a higher frequency of trips was associated with improved academic performance, and students’ positive attitudes, prior exposure, and enjoyment of field trips positively influenced their CLO outcomes. These results underscore the effectiveness of integrating experiential learning into architectural engineering education, offering a compelling supplement to conventional lectures and addressing the limitations of traditional instructional methods by fostering deeper, more meaningful student engagement and learning. Full article

With education playing a role as a catalyst for change towards a more sustainable world, there is a need to develop educational concepts that enable young people to responsibly take up the challenges of future-proof development. The GewässerCampus project is related to environmental education in the context of the ecological dimension of Education for Sustainable Development. This article focuses on evaluating the GewässerCampus project by assessing current motivation, ecological knowledge, and environmental values during participation in an outdoor learning program. In total, 231 German pupils of lower and upper secondary level participated in the project. In a quasi-experimental study design, current motivation, pro-environmental and anthropogenic values (Preservation and Utilization), and knowledge were assessed before and immediately after participation in the learning program. The learning activities during the project day led to significant knowledge acquisition. Furthermore, high individual values of the test items for Preservation and low values of the test items for Utilization were obtained. Our results show how important it is to consider the individual teaching and learning requirements of the learner group depending on the grade level, as well as the type of school, when preparing modules for environmental education in the context of sustainable development. Full article

A comprehensive roadmap for advancing Electric Micromobility (EMM) systems addressing the fragmented and scarce information available in the field is defined as a transformative solution for urban transportation, targeting short-distance trips with compact, lightweight vehicles under 350 kg and maximum speeds of 45 km/h, such as bicycles, e-scooters, and skateboards, which offer flexible, eco-friendly alternatives to traditional transportation, easing congestion and promoting sustainable urban mobility ecosystems. This review aims to guide researchers by consolidating key technical insights and offering a foundation for future exploration in this domain. It examines critical components of EMM systems, including electric motors, batteries, power converters, and control strategies. Likewise, a comparative analysis of electric motors, such as PMSM, BLDC, SRM, and IM, highlights their unique advantages for micromobility applications. Battery technologies, including Lithium Iron Phosphate, Nickel Manganese Cobalt, Nickel-Cadmium, Sodium-Sulfur, Lithium-Ion and Sodium-Ion, are evaluated with a focus on energy density, efficiency, and environmental impact. The study delves deeply into power converters, emphasizing their critical role in optimizing energy flow and improving system performance. Furthermore, control techniques like PID, fuzzy logic, sliding mode, and model predictive control (MPC) are analyzed to enhance safety, efficiency, and adaptability in diverse EMM scenarios by using cutting-edge semiconductor devices like Silicon Carbide (SiC) and Gallium Nitride (GaN) in well-known configurations, such as buck, boost, buck–boost, and bidirectional converters to ensure great efficiency, reduce energy losses, and ensure compact and reliable designs. Ultimately, this review not only addresses existing gaps in the literature but also provides a guide for researchers, outlining future research directions to foster innovation and contribute to the development of sustainable, efficient, and environmentally friendly urban transportation systems. Full article

This study explores the passengers’ accessibility dilemma in Valparaíso, Chile, through field observations and laboratory experiments. The aim is to investigate the accessibility in metro stations based on the users’ emotional experience. Perceptions were reported through the emotions of passengers according to a circumplex psychological model and an accessibility ranking. Passengers reported their emotions (e.g., stress, sadness, relaxation, and happiness) during different trip moments. Results indicate that rearranging train seats parallel to movement creates a more spacious aisle, enhancing mobility and evoking positive emotions such as happiness. However, an unexpected rise in sadness suggests that social dynamics may influence emotional responses, warranting further investigation. Overcrowding increases stress and sadness, emphasizing the need for capacity management to improve passengers’ emotional experiences. Field observations reveal that early journey stages, such as walking to the station or waiting on the platform, are associated with unpleasant experiences due to poor infrastructure and accessibility barriers. In contrast, train rides foster more positive emotions, credited to better accessibility onboard. Passenger dissatisfaction arises from issues such as elevator malfunctions, inconsistent train schedules, and inadequate station accessibility. This study could help to understand passenger behavior when the accessibility conditions of metro stations and their surroundings are changed. Further studies will expand the concept of emotions by considering social and psychological factors and explore different types of stations and their surroundings considering a larger sample size in laboratory experiments and field studies. Full article