Search Results (5)

The pervasive use of anthropogenic light at night has significantly increased the brightness of the night sky, which negatively affects human wellbeing, the ecology of plants and animals, night sky aesthetics, and astronomical observations. However, public awareness of light pollution remains limited. This study evaluates the effectiveness of an ‘eco-art installation’ in raising awareness about the impacts of anthropogenic light at night (ALAN). The installation, ‘Scope’, used light as a medium to convey the adverse effects of anthropogenic light at the Te Ramaroa festival in Nelson, New Zealand, which is held to celebrate light in the depths of winter. An online survey assessed the awareness of Nelson region residents, comparing responses between those who experienced the installation and those who did not, and assessing the self-reported knowledge increase after engagement with the installation. The findings indicated that eco-art installations can significantly enhance the public’s understanding of ALAN’s environmental and health impacts. The installation successfully increased self-reported specific knowledge about ALAN, with 92% of visitors reporting learning something new; however, overarching knowledge and levels of concern were largely similar between the groups. Emotional engagement was high, with 62% of viewers stating that the installation invoked an emotional response. While the study did not measure beha-vioural changes, 94% of festival participants found it at least ‘somewhat appropriate’ and 64% found it ‘very’ or ‘entirely appropriate’ to raise awareness of these issues at such events, suggesting a potential foundation for future action. This research underscores the promise of art–science collaborations in environmental education and public engagement. Full article

The transportation sector remains a major contributor to greenhouse gas emissions. The understanding of energy-efficient driving behaviors and utilization of energy-efficient driving strategies are essential to reduce vehicles’ fuel consumption. However, there is no comprehensive investigation into energy-efficient driving behaviors and strategies. Furthermore, many state-of-the-art AI models have been applied for the analysis of eco-friendly driving styles, but no overview is available. To fill the gap, this paper conducts a thorough literature review on ecological driving behaviors and styles, and analyzes the driving factors influencing energy consumption and state-of-the-art methodologies. With a thorough scoping review process, thirty-seven articles with full text were assessed, and the methodological and related data are compared. The results show that the factors that impact driving behaviors can be summarized into eleven features including speed, acceleration, deceleration, pedal, steering, gear, engine, distance, weather, traffic signal, and road parameters. This paper finds that supervised/unsupervised learning algorithms and reinforcement learning frameworks have been popularly used to model the vehicle’s energy consumption with multi-dimensional data. Furthermore, the literature shows that the driving data are collected from either simulators or real-world experiments, and the real-world data are mainly stored and transmitted by meters, controller area networks, onboard data services, smartphones, and additional sensors installed in the vehicle. Based on driving behavior factors, driver characteristics, and safety rules, this paper recommends nine energy-efficient driving styles including four guidelines for the drivers’ selection and adjustment of the vehicle parameters, three recommendations for the energy-efficient driving styles in different driving scenarios, and two subjective suggestions for different types of drivers and employers. Full article

This paper explores how design in the public realm can integrate city data to help disseminate the information embedded within it and provide urban opportunities for knowledge exchange. The hypothesis is that such art and design practices in public spaces, as places of knowledge exchange, may enable more sustainable communities and cities through the visualization of data. To achieve this, we developed a methodology to compare various design approaches for integrating three main elements in public-space design projects: city data, specific issues of sustainability, and varying methods for activating the data. To test this methodology, we applied it to a pedogeological project where students were required to render city data visible. We analyze the proposals presented by the young designers to understand their approaches to design, data, and education. We study how they “educate” and “dialogue” with the community about sustainable issues. Specifically, the research attempts to answer the following questions: (1) How can we use data in the design of public spaces as a means for sustainability knowledge exchange in the city? (2) How can community-based design contribute to innovative data collection and dissemination for advancing sustainability in the city? (3) What are the overlaps between the projects’ intended impacts and the 17 United Nations Sustainable Development Goals (SDGs)? Our findings suggest that there is a need for such creative practices, as they make information available to the community, using unconventional methods. Furthermore, more research is needed to better understand the short- and long-term outcomes of these works in the public realm. Full article

This paper examines a series of art and design installations in the public realm that aim to raise awareness or activate change regarding pressing ecological issues. Such works tend to place environmental responsibility on the shoulders of the individual citizen, aiming to educate but also to implicate them in the age of the Anthropocene. How and what these works aim to accomplish, are key to a better understanding the means of knowledge transfer and potential agents of change in the Anthropocene. We study three cases in this paper. These are examined through: (1) their potential to raise awareness or activate behavior change; (2) how well they are capable of making the catastrophic situations, which are invisible to most people, visible; and (3) how well they enable systemic change in the catastrophic situations. In the three cases studied, we find that they are successful in helping to raise awareness and even change individual behavior, they are successful in rendering the invisible visible, but they are incapable of engendering any systemic change of the catastrophic situations depicted. Full article

Due to climate change and the need to decrease the carbon footprint of urban areas, there is an increasing pressure to integrate renewable energy and other components in urban energy systems. Most of the models or available tools do not provide both an economic and environmental assessment of the energy systems and thus lead to the design of systems that are sub-optimal. A flexible and modular simulation tool, Eco-Sim, is thus developed in the current study to conduct a comprehensive techno-economic and environmental assessment of a distributed energy system considering different configuration scenarios. Subsequently, an intermodel comparison is conducted with the Hybrid Optimization Model for Electric Renewable (HOMER) Pro as well as with a state-of-the-art industrial tool. Eco-Sim is then extended by including the heating demand, thermal conversion (by using heat pumps and solar thermal) methods and thermal storage. A parametric analysis is conducted by considering different capacities of solar photovoltaics (PV), solar thermal panels and energy storage technologies. The levelized cost of electricity, the autonomy level and the CO ${}_2$ emissions are used as the key performance indicators. Based on the analysis of a study case conducted in a neighbourhood in Geneva, Switzerland, the study reveals that, with the present market prices for batteries and seasonal changes in solar energy potential, the combination of solar PV with battery storage doesn’t bring a significant autonomy to the system and increases the CO ${}_2$ emissions of the system. However, the integration of thermal storage and solar thermal generation is shown to considerably increase the autonomy of the neighbourhood. Finally, multiple scenarios are also run in order to evaluate the sensitivity of economic parameters on the performance indicators of the system. Under the assumptions of the model, to foster investments in solar PV and battery installations, falling installation costs or stronger policies in favor of renewable energy seem necessary for the future. Full article