Crafting Next Generation Eco-Label Policy

Eco-labels present a promising policy tool in the effort to achieve sustainable consumption. Many questions remain, however, about the extent to which eco-labels can contribute to sustainability efforts and how to maximize their effectiveness. This Article deploys research from evolutionary psychology, behavioral law and economics, and norm theory to offer specific insights for the design and implementation of eco-labels to enhance their influence on sustainable consumer choice. Notably, this research suggests possibilities for eco-labels to shape or expand consumer preferences for green goods, and thereby enhance eco-label influence on consumer behavior by extending it beyond eco-minded consumers. We suggest that public exposure of the label (so that people see it) and the exposure of the purchasing behavior (so that other people can see that you have bought the product) are key elements to the success of eco-labels--the social context around product purchasing may be as important as the eco-label itself. We recommend that behavioral insights be used to improve eco-labeling as traditionally understood by incorporating knowledge about behavioral tendencies into label design so as to allow for more accurate matching of consumers\u27 preexisting environmental preferences to eco-labeled goods, and develop next-generation eco-labeling policy with the potential to significantly expand the market for eco-labeled goods. Specifically, 1) Eco-labels could be purposefully designed and implemented to attract consumers motivated by social norms; 2) Eco-labels could appeal to a wider range of abstract norm alternate more broadly or locally accepted and strong abstract that are stronger and/or more broadly accepted or locally-salient; and 3) Eco-labels could highlight private, near and near-term benefits

Technological Revolutions and Economic Growth:The �Age of Steam� Reconsidered

revolution, economic growth, steam, technological

Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning

The surge in Reinforcement Learning (RL) applications in Intelligent Transportation Systems (ITS) has contributed to its growth as well as highlighted key challenges. However, defining objectives of RL agents in traffic control and management tasks, as well as aligning policies with these goals through an effective formulation of Markov Decision Process (MDP), can be challenging and often require domain experts in both RL and ITS. Recent advancements in Large Language Models (LLMs) such as GPT-4 highlight their broad general knowledge, reasoning capabilities, and commonsense priors across various domains. In this work, we conduct a large-scale user study involving 70 participants to investigate whether novices can leverage ChatGPT to solve complex mixed traffic control problems. Three environments are tested, including ring road, bottleneck, and intersection. We find ChatGPT has mixed results. For intersection and bottleneck, ChatGPT increases number of successful policies by 150% and 136% compared to solely beginner capabilities, with some of them even outperforming experts. However, ChatGPT does not provide consistent improvements across all scenarios

Exploration Of New Methods In Long Distance Transportation Data Collection And Tourism Travel In Vermont

ABSTRACT Human transportation patterns have continued to shift and increase in rate as technology has made travel between spatially disparate locations more feasible. These movements are responsible for approximately one third of global carbon emissions, and account for one half of Vermont’s greenhouse gas output. Modeling transportation behaviors is difficult due to changing travel patterns and issues of surveying human participants. Long distance travel patterns are especially difficult and have not received the attention that urban mobility has within the literature. In this Masters thesis, I describe current methods of transportation data collection and propose new methods, as well as attempt to quantify the impact on Vermont’s roadways of the transportation-based tourism sector. In the first chapter of this thesis, I describe a GPS-based travel survey conducted over the course of one year, coupled with interview data of long distance trips undertaken by 10 participants. Long distance travel has historically been underrepresented in travel surveying due to its infrequency, resulting in decreased likelihood of capturing a long distance trip in a short travel study. By extracting points at intervals from the GPS dataset, it becomes possible to determine accuracy of trip matching between the two datasets with adjusted data collection methods. The second chapter examines transportation related to tourism in Vermont. As one of Vermont’s largest industry sectors, economic impact has been of particular interest to state planners. However, limited analyses of the transportation impacts of this sector are currently available. My research models route choice of drive through tourists, whom constitute 40% of visitors, attempting to begin quantifying tourist mileage and CO2 emissions within the state. Together, these studies expand knowledge on long distance transport data collection and the role of tourism in Vermont’s transportation mileage

The Critical Role of Public Charging Infrastructure

Editors: Peter Fox-Penner, PhD, Z. Justin Ren, PhD, David O. JermainA decade after the launch of the contemporary global electric vehicle (EV) market, most cities face a major challenge preparing for rising EV demand. Some cities, and the leaders who shape them, are meeting and even leading demand for EV infrastructure. This book aggregates deep, groundbreaking research in the areas of urban EV deployment for city managers, private developers, urban planners, and utilities who want to understand and lead change

Interpersonal Influence and Pro-Societal Consumption: A Review of Diffusion, Conformity, Dissemination, Translation and Reflexivity

Understanding consumption behavior will facilitate the successful deployment of new pro-societal products and behaviors. Interpersonal influence is thought to play an important role in the successive adoption of pro-societal products and behaviors within groups across time, but processes of influence are poorly understood. This paper begins by presenting a typology for new products according functional, symbolic and pro-societal attributes. Five perspectives on interpersonal influence and pro-societal consumption behavior are identified and summarized. Contagion focuses on the effect of functional information flowing among people or groups. Conformity focuses on individual thresholds and motivations to mimic others. Dissemination is the intentional diffusion of information by a core group of motivated individuals. Translation is the tendency for various social groups to negotiate interpretations and valuations of the technology. Finally, reflexivity is a theoretical framework that explains the motivations of individuals seeking to establish lifestyle practices consistent with their self concept in an uncertain modern world. Strengths and weaknesses of each perspective are discussed

Rebuilding Silicon Valley - An Assessment of the Silicon Valley Corporate Campus and the Potential for Suburban Sustainability

Silicon Valley is the San Francisco Bay Area’s economic powerhouse and is herald for its innovation and success. However, Silicon Valley’s urban design is unsustainable and characterized by remote and large corporate campuses that contribute to job sprawl and heavy traffic congestion. Many of the buildings are also not performing at an efficient level and are due for deep overhauls to cut back energy consumption and costs. The inevitable effects of climate change continue to loom large over the world, heightening the importance for the built environment to be reformed into an environment that can mitigate and adapt to climate change impacts. The standard template of the corporate campus is the antithesis of sustainability, and thus contributes to a region that is developing inefficiently and increasing the built environment’s carbon footprint. In this paper, current corporate campuses are evaluated to gauge their sustainability and to develop recommendations for improvement. The core issues found within the corporate campus model are locational and transportation issues, campus layout, and building design. It is suggested that campuses be redesigned to be more accessible by transit other than vehicles, be proximate to services and amenities, be pedestrian and bicyclist friendly, and have highly efficient building design. While the issues with the corporate campus are understood, many are still being developed inefficiently due to resistance within the company and local governments. Further research is required to determine how companies can best be encouraged to relocate or reform their corporate campuses and how local governments can be pushed to update policy and support Silicon Valley’s shift towards a more sustainable urban form

Sharpening the Cutting Edge: Corporate Action for a Strong, Low-Carbon Economy

Outlines lessons learned from early efforts to create a low-carbon economy, current and emerging best practices, and next steps, including climate change metrics, greenhouse gas reporting, effective climate policy, and long-term investment choices

Telecommuting and environmental policy - lessons from the Ecommute program

In 1999 US Congress passed the National Air Quality and Telecommuting Act. This Act established pilot telecommuting programs (Ecommute) in five major US metropolitan areas with the express purpose of studying the feasibility of addressing air quality concerns through telecommuting. The major goal of the Ecommute program was to examine whether a particular type of economic incentive, tradable emissions credits from telecommuting, represents a viable strategy for reducing vehicle miles traveled (VMT) and improving air quality. Under the Ecommute program, companies could generate emissions credits by reducing the VMT of their workforce through telework programs. They would then be able to sell the credits to firms that needed the reductions to comply with air quality regulations. The paper provides analysis of the results of Ecommute program. First, we establish some context for evaluating whether the envisioned trading scheme represents a feasible approach to reducing mobile source emissions and promoting telecommuting and review the limited experience with mobile source emissions trading programs. We find that from a regulatory perspective, the most substantial drawback to such a program is its questionable environmental integrity, resulting from difficulties in designing a sufficiently rigorous quantification protocols to accurately measure the emissions reductions from telecommuting. And perhaps more importantly, such a program is not likely to be cost-effective since the emissions reductions from a single telecommuter are very small. The paper also presents the first analysis of data collected from the Ecommute program. Using two-and-one-half years of data, we look at telecommuting frequency, mode choice, and emissions reductions as well as at reporting behavior and dropout rates. Finally, we use the program's emissions reductions findings to calculate how much telecommuting would be needed to reach an annual volatile organic compounds emission reduction target in each city.

China's Long-Term Low-Carbon Development Strategies and Pathways

This open access book introduces a multi-disciplinary and comprehensive research on China's long-term low-carbon emission strategies and pathways. After comprehensively considering China’s own socioeconomic conditions, policy design, energy mix, and other macro-development trends and needs, the research team has proposed suggestions on China’s low-carbon development strategies and pathways until 2050, with required technologies and policies in order to realize the goals of building a great modern socialist country and a beautiful China. These achievements are in conjunction with the climate goals set in the Paris Agreement alongside Global Sustainable Development. The authors hope that the research findings can serve as a reference for all sectors of Chinese society in their climate research efforts, offer support for the formulation and implementation of china’s national low-carbon development strategies and policies, and help the world to better understand China’s story in the general trend of global green and low-carbon development