<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href='static/style.xsl' type='text/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>2026-09-20T15:34:06Z</responseDate><request verb="GetRecord" identifier="oai:ecommons.cornell.edu:1813/117431" metadataPrefix="dim">https://ecommons.cornell.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:ecommons.cornell.edu:1813/117431</identifier><datestamp>2026-07-07T15:02:19Z</datestamp><setSpec>com_1813_35</setSpec><setSpec>col_1813_47</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="author">Guo, Ruihua</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="chair" lang="en_US">Zhang, Wendong</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="committeeMember" lang="en_US">Zhang, Jingwei</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2025-08-20T21:35:38Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2025-08-20T21:35:38Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2025-05</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="other">ProQuest Publication ID: 31999421</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="doi">https://doi.org/10.7298/sekd-rm44</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="bibid">16938260</dim:field>
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   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Understanding how emerging shared transport services affect urban mobility is critical for designing sustainable and equitable transit systems. However, empirical evidence on the real-world impacts of subsidized shared transport services remains limited. This study evaluates the impacts of two such services: the Mobility on Demand (MOD) Project and Metro Micro Project, on mobility patterns in Los Angeles County using cellphone-based mobility data. The MOD Project initially utilized a ride-hailing mode with limited semi-fixed routes and transition to point-to-point flexible routes during the COVID-19 pandemic, while the Metro Micro Project adopted a micro-transit mode with mini-buses operating on flexible routes. Applying a matched Difference-in-Differences (DiD) framework, we analyze visit trends at Points of Interest (POIs) across industries and geographic areas from 2018 to 2022.The findings reveal that the MOD Project significantly increased POI visitation major in El Monte area by 7.5%, with the growth primarily from retail trade, food service, and laundry service sectors, and driven by the transition to flexible point-to-point travel. However, the Metro Micro Project had statistically insignificant effects overall, although notable regional heterogeneity was observed. Furthermore, the ride-hailing mode under the MOD Project was more effective in increasing POI visitation than the micro-transit mode of Metro Micro. These results highlight the critical role of service flexibility and mode selection in integrating shared transport with public transit systems as "last-mile solution."</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">DID</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Mobility as a Service (MaaS)</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">public transit</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">shared transport</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Assessment of subsidized shared transport services on mobility patterns: Evidence and Lessons from cellphone mobility data</dim:field>
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   <dim:field mdschema="thesis" element="degree" qualifier="grantor">Cornell University</dim:field>
   <dim:field mdschema="thesis" element="degree" qualifier="level">Master of Science</dim:field>
   <dim:field mdschema="thesis" element="degree" qualifier="name">M.S., Applied Economics and Management</dim:field>
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   	&lt;Title>Assessment of subsidized shared transport services on mobility patterns: Evidence and Lessons from cellphone mobility data&lt;/Title>
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   	&lt;PublicationDate>2025-05&lt;/PublicationDate>
   	&lt;DOI>https://doi.org/10.7298/sekd-rm44&lt;/DOI>
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        	&lt;DisplayName>Guo, Ruihua&lt;/DisplayName>
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    &lt;Keyword>DID&lt;/Keyword>
    &lt;Keyword>Mobility as a Service (MaaS)&lt;/Keyword>
    &lt;Keyword>public transit&lt;/Keyword>
    &lt;Keyword>shared transport&lt;/Keyword>
   	&lt;Abstract>Understanding how emerging shared transport services affect urban mobility is critical for designing sustainable and equitable transit systems. However, empirical evidence on the real-world impacts of subsidized shared transport services remains limited. This study evaluates the impacts of two such services: the Mobility on Demand (MOD) Project and Metro Micro Project, on mobility patterns in Los Angeles County using cellphone-based mobility data. The MOD Project initially utilized a ride-hailing mode with limited semi-fixed routes and transition to point-to-point flexible routes during the COVID-19 pandemic, while the Metro Micro Project adopted a micro-transit mode with mini-buses operating on flexible routes. Applying a matched Difference-in-Differences (DiD) framework, we analyze visit trends at Points of Interest (POIs) across industries and geographic areas from 2018 to 2022.The findings reveal that the MOD Project significantly increased POI visitation major in El Monte area by 7.5%, with the growth primarily from retail trade, food service, and laundry service sectors, and driven by the transition to flexible point-to-point travel. However, the Metro Micro Project had statistically insignificant effects overall, although notable regional heterogeneity was observed. Furthermore, the ride-hailing mode under the MOD Project was more effective in increasing POI visitation than the micro-transit mode of Metro Micro. These results highlight the critical role of service flexibility and mode selection in integrating shared transport with public transit systems as &amp;quot;last-mile solution.&amp;quot;&lt;/Abstract>
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