<?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>2026-09-22T22:27:15Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/72819" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/72819</identifier><datestamp>2026-06-16T18:16:53Z</datestamp><setSpec>com_1721.1_97716</setSpec><setSpec>com_1721.1_7749</setSpec><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_97717</setSpec><setSpec>col_1721.1_131022</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">John E Fernández.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Quinn, David James, Ph. D. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Architecture.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Architecture</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2012-09-13T18:53:45Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2012-09-13T18:53:45Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/72819</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">806472866</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D. in Architecture: Building Technology)--Massachusetts Institute of Technology, Dept. of Architecture, 2012.</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. [189]-199).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The objective of this thesis is to develop methods to estimate, analyze and visualize the resource intensity of urban areas. Understanding the resource consumption of the built environment is particularly relevant in cities that are rapidly growing, as the urban forms that emerge have long-term consequences for both the quality of life of the inhabitants, and their future material and energy demands. This work was completed by assembling datasets of cities from around the world, identifying geometric patterns in the built environment, relating these geometric patterns to material and energy intensities, and illustrating these intensities in a visually intuitive way. This thesis describes a standardized analytical approach to assess the physical characteristics of the built environment, enabling comparisons to be made between cities. This approach provides a preliminary assessment of resource intensities that may be useful for decision-makers to compare differences among a variety of urban forms. Finally, a new web-map visualization tool has been developed that enables users to gain an understanding of the resource intensity of 40 cities in the USA. This tool allows the user to explore the resource intensity of urban areas using a web-browser, and to dynamically generate reports that can compare areas within a city, or entire cities, to each other.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by David James Quinn.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D. in Architecture: Building Technology</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">199 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">Architecture.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Estimating material and energy intensities of urban areas</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   	&lt;Title>Estimating material and energy intensities of urban areas&lt;/Title>
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   	&lt;PublicationDate>2012&lt;/PublicationDate>
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        	&lt;DisplayName>Quinn, David James, Ph. D. Massachusetts Institute of Technology&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Architecture.&lt;/Keyword>
   	&lt;Abstract>The objective of this thesis is to develop methods to estimate, analyze and visualize the resource intensity of urban areas. Understanding the resource consumption of the built environment is particularly relevant in cities that are rapidly growing, as the urban forms that emerge have long-term consequences for both the quality of life of the inhabitants, and their future material and energy demands. This work was completed by assembling datasets of cities from around the world, identifying geometric patterns in the built environment, relating these geometric patterns to material and energy intensities, and illustrating these intensities in a visually intuitive way. This thesis describes a standardized analytical approach to assess the physical characteristics of the built environment, enabling comparisons to be made between cities. This approach provides a preliminary assessment of resource intensities that may be useful for decision-makers to compare differences among a variety of urban forms. Finally, a new web-map visualization tool has been developed that enables users to gain an understanding of the resource intensity of 40 cities in the USA. This tool allows the user to explore the resource intensity of urban areas using a web-browser, and to dynamically generate reports that can compare areas within a city, or entire cities, to each other.&lt;/Abstract>
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