<?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>2026-09-20T23:31:40Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/77836" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/77836</identifier><datestamp>2022-01-13T07:54:44Z</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">Christopher Zegras.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Ching, Albert M. L. (Albert Man Loon)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. 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">2013-03-13T15:53:13Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2013-03-13T15:53:13Z</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/1721.1/77836</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">828677128</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 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. 76-78).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Flocksourcing, or guided crowdsourcing, is an experimental data collection technique where users become the sensors to generate a large amount of information that improves a public service like public transport. In an ideal world, users would self-organize to collect data that would improve their own experience-but in a place like Dhaka, the megacapital of Bangladesh, the technology that enables users to become sensors is not (yet) widely available. In this thesis, we attempt to test the viability of flocksourcing by co-developing and seeding those technologies with a local resident-led flock who targeted a segment of the largely owner-operated bus system in Dhaka. The results from a flock of eight's weeklong data collection efforts demonstrated that flocksourcing can be a viable data collection technique for generating big amounts of data even in some of the most challenging urban environments. While the demonstration helps lay the groundwork showing that the technique can be used, questions still remain on whether and how it will be used in a truly sustainable way.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Albert M. L. Ching.</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">78 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">Urban Studies and Planning.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">A user-flocksourced bus intelligence system for Dhaka</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">User-flock sourced bus intelligence system for Dhaka</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">First user-flocksourced bus intelligence system in the World</dim:field>
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   	&lt;Title>A user-flocksourced bus intelligence system for Dhaka&lt;/Title>
   	&lt;Subtitle>User-flock sourced bus intelligence system for Dhaka&lt;/Subtitle>
   	&lt;Subtitle>First user-flocksourced bus intelligence system in the World&lt;/Subtitle>
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   	&lt;PublicationDate>2012&lt;/PublicationDate>
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        	&lt;DisplayName>Ching, Albert M. L. (Albert Man Loon)&lt;/DisplayName>
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    &lt;Keyword>Urban Studies and Planning.&lt;/Keyword>
   	&lt;Abstract>Flocksourcing, or guided crowdsourcing, is an experimental data collection technique where users become the sensors to generate a large amount of information that improves a public service like public transport. In an ideal world, users would self-organize to collect data that would improve their own experience-but in a place like Dhaka, the megacapital of Bangladesh, the technology that enables users to become sensors is not (yet) widely available. In this thesis, we attempt to test the viability of flocksourcing by co-developing and seeding those technologies with a local resident-led flock who targeted a segment of the largely owner-operated bus system in Dhaka. The results from a flock of eight&amp;apos;s weeklong data collection efforts demonstrated that flocksourcing can be a viable data collection technique for generating big amounts of data even in some of the most challenging urban environments. While the demonstration helps lay the groundwork showing that the technique can be used, questions still remain on whether and how it will be used in a truly sustainable way.&lt;/Abstract>
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