<?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>2026-09-21T22:13:25Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/84426" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/84426</identifier><datestamp>2022-01-13T07:54:09Z</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">Kent Larson.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Winder, James Ira</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Urban Studies and Planning.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Urban Studies and Planning</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2014-01-23T18:43:29Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2014-01-23T18:43:29Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/84426</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">868071786</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M.C.P.)--Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2013.</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 (pages 49-51).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis develops a system for observing, visualizing, and understanding transportation behavior at the scale of an urban institution's entire population. In particular, the Massachusetts institute of Technology (MIT) will serve as a case study. This research does not accept the presumption that the individual is a purely autonomous decision maker when it comes to transportation behavior. Rather, decisions can be a result of following the example of others' in a given community, not necessarily a process of autonomous utility optimization. As such, human transportation behavior is examined within the context of "social institutional" and "urban tribal" constructs. By recognizing such social institutional tribes as fundamental affecters of transportation behavior, we can develop new analytical units called "commuter footprints." These footprints are derived from the "digital breadcrumbs" of user behavior within an institution. By bringing these footprints to light, it will give policy makers a new avenue to influence transportation behavior in urban areas by targeting these social institutional tribes as a whole. Given the growing desire for policies to be evaluated with performance-based metrics, this thesis also strives to articulate metrics for a social institution's transportation behavior. These metrics will aid in annual reporting, and may even serve as useful indicators from which to measure change over time. Furthermore, the thesis proposes potential avenues for "living lab" style research and experiments that could utilize such a system.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by J. Ira Winder.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.C.P.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">51 pages</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">Urban Studies and Planning.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">MIT commuter common : measuring and improving the transportation footprint of an urban institution</dim:field>
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   	&lt;Title>MIT commuter common : measuring and improving the transportation footprint of an urban institution&lt;/Title>
   	&lt;Subtitle>Measuring and improving the transportation footprint of an urban institution&lt;/Subtitle>
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   	&lt;PublicationDate>2013&lt;/PublicationDate>
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    &lt;Keyword>Urban Studies and Planning.&lt;/Keyword>
   	&lt;Abstract>This thesis develops a system for observing, visualizing, and understanding transportation behavior at the scale of an urban institution&amp;apos;s entire population. In particular, the Massachusetts institute of Technology (MIT) will serve as a case study. This research does not accept the presumption that the individual is a purely autonomous decision maker when it comes to transportation behavior. Rather, decisions can be a result of following the example of others&amp;apos; in a given community, not necessarily a process of autonomous utility optimization. As such, human transportation behavior is examined within the context of &amp;quot;social institutional&amp;quot; and &amp;quot;urban tribal&amp;quot; constructs. By recognizing such social institutional tribes as fundamental affecters of transportation behavior, we can develop new analytical units called &amp;quot;commuter footprints.&amp;quot; These footprints are derived from the &amp;quot;digital breadcrumbs&amp;quot; of user behavior within an institution. By bringing these footprints to light, it will give policy makers a new avenue to influence transportation behavior in urban areas by targeting these social institutional tribes as a whole. Given the growing desire for policies to be evaluated with performance-based metrics, this thesis also strives to articulate metrics for a social institution&amp;apos;s transportation behavior. These metrics will aid in annual reporting, and may even serve as useful indicators from which to measure change over time. Furthermore, the thesis proposes potential avenues for &amp;quot;living lab&amp;quot; style research and experiments that could utilize such a system.&lt;/Abstract>
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