Electric Vehicle Equity and Innovation: Evidence from AI and Patents
Can we use AI and data triangulation to provide evidence on the distributional equity of electric vehicle mobility innovation?
Our goal in this project is to change the narrative on electric vehicle (EV) adoption and diffusion from one of subsidizing car sales for advantaged communities to ensuring more equitable community access by focusing on infrastructure deployment. We will use data strategies to help address climate change by focusing on emissions reductions from the transportation sector.
The co-principal investigators are Dr. Paige A. Clayton, Assistant Professor, School of City and Regional Planning. Focus: EV Patents and Data Innovation and Dr. Omar I. Asensio, Assistant Professor, School of Public Policy and Institute for Data Engineering & Science (IDEaS). Focus: AI and Data Innovation
Machine Learning & Electric Vehicle Mobility
Using AI/machine learning to discover behavioral failures in sustainable transportation infrastructure. The EV charging market is expected to grow to $27 billion USD by 2027.
Dynamic Pricing & Behavioral Experiments
Price versus nonprice incentives? Investigating the use of mobile apps and big data to understand the effects of pricing and information-based nudges for resource consumption at the point-of-use.
Smart Cities & Housing Analytics
Using of open data platforms to solve data silo challenges in collaboration with City governments.
Ocean plastics are on the rise. How can we use behavioral insights to reduce micro-plastics from residential waste streams.