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Massachusetts Institute of Technology

Potential business models for recharging infrastructure and their implications for plug-In electric vehicle adoption

Abstract

dc:description.abstract

Plug-in Electric Vehicles are more efficient, have lower operating and maintenance costs, and emit fewer local air pollutants than conventional internal combustion engine vehicles. Despite these advantages, the customer adoption of plug-in electric vehicles has been slow due to their high purchase costs, limited driving range, and long recharging times. Construction of a ubiquitous network of high-power recharging stations has often been suggested as a solution to promote their adoption. Although many governments around the world are currently funding the construction of public recharging infrastructure, they cannot continue to provide support indefinitely. This necessitates a private sector-led effort to expand public recharging infrastructure for plug-in electric vehicles to become competitive with conventional vehicles.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sridhar, Rakesh.
Advisor dc:contributor.advisor
  • Chintan Vaishnav.

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/122898
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/122898

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Sridhar, Rakesh.. Potential business models for recharging infrastructure and their implications for plug-In electric vehicle adoption. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122898