<?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>2026-09-19T14:01:01Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/62877" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/62877</identifier><datestamp>2022-01-13T07:54:11Z</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">R. John Hansman.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Donaldson, Alexander David</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Aeronautics and Astronautics</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="accessioned">2011-05-23T15:30:38Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2011-05-23T15:30:38Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2011</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2011</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/62877</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">722506998</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2011.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 101).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The New York airspace is the most congested in the U.S. air transportation network. Increasing capacity in this area is critical to ensure the balanced growth of traffic across the U.S. This study compares the total measured runway capacity at the New York airports with the achieved throughput of the New York airspace. The comparison is performed for six airspace configurations representing operations under different wind conditions, visibility and relative arrival and departure demand. The comparison shows that in all cases the capacity of the system of airports is lower than the total capacity of the airports considered individually by approximately 20%. This finding suggests that air traffic throughput in the New York area is constrained by shared airspace resources. If these constraints could be removed, these funding suggest that capacity could be increased approximately 20% without any airport infrastructure or procedure changes. An examination of procedures close to the airports is performed to identify fixed constraints. The impact of these constraints is not captured by the empirical analysis because these constraints are always present. This analysis identifies cases where new navigation technologies could be used to reduce the interactions between airports. The greatest potential for improvement is found to be in the lower performing configurations. Therefore procedural changes close to the airports may provide more benefit in reducing the variability of capacity between different configurations, rather than providing large increases in maximum capacity.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Alexander David Donaldson.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">101 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">Aeronautics and Astronautics.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Improvement of terminal area capacity in the New York airspace</dim:field>
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   	&lt;Title>Improvement of terminal area capacity in the New York airspace&lt;/Title>
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   	&lt;PublicationDate>2011&lt;/PublicationDate>
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   	&lt;Abstract>The New York airspace is the most congested in the U.S. air transportation network. Increasing capacity in this area is critical to ensure the balanced growth of traffic across the U.S. This study compares the total measured runway capacity at the New York airports with the achieved throughput of the New York airspace. The comparison is performed for six airspace configurations representing operations under different wind conditions, visibility and relative arrival and departure demand. The comparison shows that in all cases the capacity of the system of airports is lower than the total capacity of the airports considered individually by approximately 20%. This finding suggests that air traffic throughput in the New York area is constrained by shared airspace resources. If these constraints could be removed, these funding suggest that capacity could be increased approximately 20% without any airport infrastructure or procedure changes. An examination of procedures close to the airports is performed to identify fixed constraints. The impact of these constraints is not captured by the empirical analysis because these constraints are always present. This analysis identifies cases where new navigation technologies could be used to reduce the interactions between airports. The greatest potential for improvement is found to be in the lower performing configurations. Therefore procedural changes close to the airports may provide more benefit in reducing the variability of capacity between different configurations, rather than providing large increases in maximum capacity.&lt;/Abstract>
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