Item List

Autonomous Ridesharing Vehicles and the Environmental Rebound Effect

This project will explore the environmental rebound impacts of autonomous vehicles and autonomous ride-sharing vehicles.

Best Practices for Analyzing the Direct Energy Use of Blockchain Technology Systems

This research lays a foundation for more analytically-sound and transparent estimates of the energy use of blockchain technologies.

Blockchain Technology and the Sustainable Supply Chain: Theoretically Exploring Adoption Barriers

This project identifies, analyzes, and explores existing and new governance systems for a blockchain-based sustainable supply chain. The primary goal is to aid in the adoption of blockchain technologies within supply chains, toward the promotion of sustainable practices.

Electric Vehicles in Ride-hailing Applications: Insights From a Fall 2019 Survey of Lyft and Uber Drivers in Los Angeles

This project seeks to better understand why ridesourcing drivers are not choosing to purchase electric vehicles.

Energy Use and Carbon Emissions from E-Commerce: Implications for a Decarbonized Future

This project will quantify the energy use and carbon emissions in retail distribution arising from recent changes to e-commerce during the pandemic.

Evaluating the Potential of Cooperative Ridesourcing: A Case Study of Arcade City in Austin, Texas

Our project team believes that an evaluation of AC Austin will fill knowledge gaps and provide important and novel insights into the benefits and drawbacks of decentralized cooperative sharing platforms as compared to more prevalent centralized commercial approaches.

Investigating the Energy and Environmental Implications of Artificial Intelligence Applications in the Chemical Manufacturing Industry

This research project aims to address the data and analysis gaps that are so critical for encouraging the adoption of artificial intelligence in chemical manufacturing. The researchers will develop a metric-based framework to quantify the energy and environmental impacts of artificial intelligence applications in the chemical industry.

Open Science Behind Closed Doors: Empowering Citizens to Use Their Private Data for Decision-making

This study is designed to provide consumers with a credible way to connect environmental footprint information on their individual consumption to make better-informed decisions.

Research on the Environmental Impacts of Artificial Intelligence — Gaps and Opportunities

This project will be a bibliometric analysis of publications, citations, and keywords to identify trends and gaps in research on the environmental impact of artificial intelligence.

Social and Environmental Analysis of Food Waste Abatement via the Peer-to-Peer Sharing Economy

This research provides insights into the nature and dynamics of the sharing economy through a deep dive into a real-world food sharing network that aims to reduce household food waste.

Sustainability Implications of the Rural-Urban Digital Divide

This research will use a life cycle assessment (LCA) approach to analyze and compare the energy and environmental impacts of online grocery delivery in rural and urban environments.

The Carbon Footprint of Airbnb

This project seeks to address the lack of research on the transportation-related climate impacts of the sharing platform Airbnb. This will be the first study of the changing distribution of Airbnb listings and the associated mobility patterns of Airbnb guests, comparing the ten largest Airbnb urban markets and providing data and recommendations for municipal authorities and ride hailing firms to reduce greenhouse gas emissions.