About

Professor Jeremy Michalek is a faculty member at Carnegie Mellon University, serving as the Director of the Vehicle Electrification Group. He holds positions in Engineering and Public Policy, Mechanical Engineering, and the College of Engineering. His research focuses on vehicle electrification, energy systems, and sustainable transportation, contributing to the development and analysis of electric vehicle technologies and policies. His work integrates engineering principles with public policy considerations to advance sustainable mobility solutions.

Research topics

• Business
• Engineering
• Transport engineering
• Economics
• Computer Science
• Advertising
• Environmental science
• Demographic economics
• Demography
• Econometrics
• Finance
• Microeconomics
• Environmental engineering
• Economy
• Natural resource economics
• Automotive engineering
• Electrical engineering
• Chemistry

Selected publications

• Will pickup-truck buyers go electric?

  Transportation Research Part D Transport and Environment · 2026-01-18

  article
  PublisherDOI

• Examining the role of ridesourcing services during rain: A Chicago case study

  Transportation Research Interdisciplinary Perspectives · 2026-01-06

  articleOpen accessSenior author

  • Estimated effects of rain on TNC ridership in Chicago with valid confidence intervals using non-parametric methods. • Rain effects are larger in densely populated, high income areas. • Rain effects relative to base ridership are larger in peripheral areas. • Areas with low transit access and car ownership show higher rain effects, suggesting TNC dependency during rain. Transportation network companies (TNCs) are an established transportation mode. Yet, uncertainty remains on the level to which rain affects TNC ridership and how this relates to socioeconomic factors. Leveraging TNC trip and weather data from Chicago we estimate rain effects on ridership using non-parametric methods and use OLS regression to reveal their associations with underlying demographics. We find rain causes ridership fluctuations between −46 % and + 140 %, with highest percentage changes observed in the periphery of Chicago. Ridership tends to decrease in areas near the Chicago Transit Authority rail lines, suggesting a possible alleviating effect of transit. OLS regression reveals areas with higher population tend to experience higher changes in ridership during rain (p < 0.001), and the same is true in areas with higher shares of high-income households (p < 0.05). In addition, higher transit access (p < 0.001) and lower shares of households with no vehicles (p < 0.05) are associated with lower rain effects on ridership.

  PublisherDOI

• Externalities of Policy-Induced Scrappage: The Case of Automotive Safety Inspections

  Journal of the Association of Environmental and Resource Economists · 2025-10-23

  article
  PublisherDOI

• Estimating the potential for dynamic parking reservation systems to increase delivery vehicle accommodation

  Transportation Research Part A Policy and Practice · 2025-02-05 · 4 citations

  articleOpen accessCorresponding

  We estimate the potential for a dynamically managed parking reservation system to increase the accommodation of real-time delivery demand by implementing a sliding time window mixed integer linear programming parking slot assignment formulation. Through our research, we reveal key trade-offs in the performance of a dynamic reservation system based on the lead time of a parking request from submission to requested arrival time, flexibility in the requested arrival time, and arrival time uncertainty. Comparing results across a range of scenarios, we find that a reservation system in our representative case can either increase parking accommodation by up to 330 h per space per year or reduce parking accommodation by up to 130 h per space per year, relative to first-come first-serve. Reservation systems tend to increase parking accommodation most when drivers have flexible but reliable arrival times, requests are made in advance, and demand is low or moderate. Reservation systems can especially reduce parking accommodation when unoccupied buffer periods between reservations are used to guarantee reservations due to uncertainty in arrival and departure times. Our results suggest that the application of dynamic curb reservation systems may be most appropriate for targeted applications where drivers have flexible but reliable arrival times.

  PublisherDOI

• Author Correction: Electric vehicle battery chemistry affects supply chain disruption vulnerabilities

  Nature Communications · 2025-06-30 · 1 citations

  erratumOpen accessSenior author
  PublisherOA PDFDOI

• Will Pickup-Truck Buyers Go Electric?

  SSRN Electronic Journal · 2025-01-01

  preprintOpen access
  PublisherDOI

• Beyond the Cost: Electric Vehicle Ownership and Adoption Intent in U.S. Households

  SSRN Electronic Journal · 2025-01-01

  preprintOpen access
  PublisherDOI

• Beyond the cost: Electric vehicle ownership and adoption intent in U.S. households

  Transportation Research Part D Transport and Environment · 2025-08-28 · 2 citations

  articleCorresponding
  PublisherDOI

• Trump reversed policies supporting electric vehicles − it will affect the road to clean electricity, too

  2025-09-08 · 1 citations

  article1st authorCorresponding
  PublisherDOI

• Quantifying the degradation cost of frequent fast charging across multiple electric vehicle battery chemistries

  Journal of Power Sources · 2025-06-12 · 7 citations

  articleSenior authorCorresponding
  PublisherDOI

Recent grants

• CAREER: Driving Design - Modeling the Influence of Market Forces and Public Policy on Vehicle Design Decisions

  NSF · $400k · 2008–2013

Frequent coauthors

• Panos Y. Papalambros

  Design Science (United States)

  16 shared

• Ching-Shin Norman Shiau

  Carnegie Mellon University

  16 shared

• Inês L. Azevedo

  Stanford University

  11 shared

• Jay Whitacre

  10 shared

• Constantine Samaras

  University of Patras

  10 shared

• Chris Hendrickson

  Carnegie Mellon University

  10 shared

• Erica R.H. Fuchs

  9 shared

• Aida Khajavirad

  9 shared

Education

• B.S., Mechanical Engineering

  Carnegie Mellon

  1999

• M.S., Mechanical Engineering

  University of Michigan

  2001

• Ph.D., Mechanical Engineering

  University of Michigan

  2005

Awards & honors

• ASME Design Automation Committee's Best Paper Award
• International Journal on Research in Marketing's Best Articl…
• George Tallman Ladd Research Award for outstanding research…
• ASME Design Automation Outstanding Young Investigator Award
• National Science Foundation CAREER Award