Econometric Evaluation of Transportation Policies: Decarbonization and Electrification
dc.contributor.advisor | Cirillo, Cinzia | en_US |
dc.contributor.author | Burra, Lavan Teja | en_US |
dc.contributor.department | Civil Engineering | en_US |
dc.contributor.publisher | Digital Repository at the University of Maryland | en_US |
dc.contributor.publisher | University of Maryland (College Park, Md.) | en_US |
dc.date.accessioned | 2024-06-29T06:17:01Z | |
dc.date.available | 2024-06-29T06:17:01Z | |
dc.date.issued | 2024 | en_US |
dc.description.abstract | The transportation sector, one of the largest contributors to global energy-related emissions, is undergoing a major transition. Governments worldwide are implementing stringent fuel economy and emissions standards, promoting the adoption of electric vehicles--a key technology for decarbonizing the transport sector--through various policy measures. This dissertation contains four chapters, studying the effects of such policies implemented across major vehicle markets and evaluating their effectiveness, with a particular focus on the electrification of light-duty passenger vehicle fleet. The first chapter explores whether multi-car households shift mileage to the most fuel-efficient car in response to increasing driving costs, which carries implications for designing effective fuel economy standards. The second chapter investigates the potential interaction between purchase subsidies given to consumers in buying electric vehicles (EVs) and expanding the public charging network. The third chapter focuses on the effectiveness of purchase subsidies for EV buyers and quantifies the free-rider share, given that this is a commonly employed policy measure worldwide. The final chapter explores the differential effects of level 2 and level 3 chargers, as well as the distributional impacts of public charging network on driving EV uptake across various demographic groups and built environment characteristics. Overall, the chapters in this dissertation employ travel survey data, longitudinal and big data analysis, causal identification, optimal policy design, counterfactual simulations, and a combination of data and economic reasoning to glean insights on the effectiveness and equitable aspects of policies aiming to decarbonize and electrify the transportation sector. | en_US |
dc.identifier | https://doi.org/10.13016/psml-p5mn | |
dc.identifier.uri | http://hdl.handle.net/1903/32979 | |
dc.language.iso | en | en_US |
dc.subject.pqcontrolled | Transportation | en_US |
dc.subject.pqcontrolled | Environmental economics | en_US |
dc.subject.pqcontrolled | Public policy | en_US |
dc.subject.pquncontrolled | Charging infrastructure | en_US |
dc.subject.pquncontrolled | Consumer subsidy | en_US |
dc.subject.pquncontrolled | Electric vehicles | en_US |
dc.subject.pquncontrolled | Fuel price elasticity | en_US |
dc.subject.pquncontrolled | Policy effectiveness | en_US |
dc.subject.pquncontrolled | Vehicle miles traveled (VMT) | en_US |
dc.title | Econometric Evaluation of Transportation Policies: Decarbonization and Electrification | en_US |
dc.type | Dissertation | en_US |
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