<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T21:11:14Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/59252" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/59252</identifier><datestamp>2026-06-06T01:06:03Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Patrick Hale.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Jeon, Sang Yeob</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Engineering Systems Division</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2010-10-12T18:57:27Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2010-10-12T18:57:27Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2010</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2010</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/59252</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">667627823</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2010.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 79-83).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this thesis, Hybrid Electric Vehicles (HEV), Plug-In Hybrid Electric Vehicle (PHEV) and Electric Vehicle (EV) technology and their sales forecasts are discussed. First, the current limitations and the future potential of vehicle technology for HEVs, PHEVs, and EVs are investigated. Second, factors that have historically impacted vehicle sales in the United States are examined. The examination focuses on the effect of rising gasoline prices on the U.S. vehicle market for the periods which include three significant events involving gasoline prices: the Iran and Iraq war in 1979, Hurricane Katrina in 2005, and the recession of 2008. Finally, many parts of this thesis deal with sales forecasts of HEVs, PHEVs, and EVs up to 2030. While previous research used the unmodified Bass diffusion model or Generalized Bass model in order to examine the adoption rate of EVs, through using Norton-Bass Model and inserting Generalized Bass Model into Norton-Bass Model, this study seeks to overcome the limitation of Bass diffusion model, which has a fixed saturation level in order to generate more accurate projections.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Sang Yeob Jeon.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in System Design and Management</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">83 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Engineering Systems Division.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Hybrid &amp; electric vehicle technology and its market feasibility</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Hybrid and electric vehicle technology and its market feasibility</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">HEV technology and its market feasibility</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">PHEV technology and its market feasibility</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">EV technology and its market feasibility</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   <dim:field mdschema="others" element="access-status">unknown</dim:field>
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   <dim:field mdschema="cerif" element="openaire" authority="" confidence="-1">&lt;Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="e2498725-45bf-44c5-a26f-09c290e5de03">
	&lt;Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843&lt;/Type>
	&lt;Language>eng&lt;/Language>
   	&lt;Title>Hybrid &amp;amp; electric vehicle technology and its market feasibility&lt;/Title>
   	&lt;Subtitle>Hybrid and electric vehicle technology and its market feasibility&lt;/Subtitle>
   	&lt;Subtitle>HEV technology and its market feasibility&lt;/Subtitle>
   	&lt;Subtitle>PHEV technology and its market feasibility&lt;/Subtitle>
   	&lt;Subtitle>EV technology and its market feasibility&lt;/Subtitle>
   	&lt;PublishedIn>
    	&lt;Publication>
      	&lt;/Publication>
   	&lt;/PublishedIn>
   	&lt;PublicationDate>2010&lt;/PublicationDate>
   	&lt;Authors>
      	&lt;Author>
        	&lt;DisplayName>Jeon, Sang Yeob&lt;/DisplayName>
         	&lt;Affiliation>
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	&lt;/Authors>
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	&lt;/Editors>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;License>http://dspace.mit.edu/handle/1721.1/7582&lt;/License>
    &lt;Keyword>Engineering Systems Division.&lt;/Keyword>
    &lt;Keyword>System Design and Management Program.&lt;/Keyword>
   	&lt;Abstract>In this thesis, Hybrid Electric Vehicles (HEV), Plug-In Hybrid Electric Vehicle (PHEV) and Electric Vehicle (EV) technology and their sales forecasts are discussed. First, the current limitations and the future potential of vehicle technology for HEVs, PHEVs, and EVs are investigated. Second, factors that have historically impacted vehicle sales in the United States are examined. The examination focuses on the effect of rising gasoline prices on the U.S. vehicle market for the periods which include three significant events involving gasoline prices: the Iran and Iraq war in 1979, Hurricane Katrina in 2005, and the recession of 2008. Finally, many parts of this thesis deal with sales forecasts of HEVs, PHEVs, and EVs up to 2030. While previous research used the unmodified Bass diffusion model or Generalized Bass model in order to examine the adoption rate of EVs, through using Norton-Bass Model and inserting Generalized Bass Model into Norton-Bass Model, this study seeks to overcome the limitation of Bass diffusion model, which has a fixed saturation level in order to generate more accurate projections.&lt;/Abstract>
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