<?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>2026-09-19T07:05:34Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/38558" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/38558</identifier><datestamp>2022-01-13T07:54:23Z</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">Daniele Veneziano.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Uchiyama, Yayoi Misu</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Civil and Environmental Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2007-08-29T20:28:06Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2007-08-29T20:28:06Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2006</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2006</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">144641983</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaves 111-112).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">To evaluate the seismic risk of railway networks, a derailment consequence model and a regional approach are developed The consequence model estimates the casualty and fatality rates for passengers as a function of train speed and includes two sub-models. The first sub-model, which is for the case when the train remains in its own track after derailment, was developed using historical accident data. The casualty and fatality rates are estimated using a linear logistic model. The other sub-model, for the case of head-on collision and train fall, was developed using numerical simulation results by the U.S.DOT. The regional approach estimates earthquake risk for the entire network In the approach, first, the probabilities of possible derailment scenarios including head-on collision cases are calculated To calculate the probabilities of derailment due to seismic vibration and facility damage, the derailment probability model is applied After one scenario is selected by Monte Carlo method based on calculated probabilities, the consequences are calculated for the scenario applying the consequence model developed previously. Through an application to the Tohoku Shinkansen line, we illustrate how the system is in many ways an improvement over the current JR East system.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Yayoi Misu Uchiyama.</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">114 leaves</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">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Civil and Environmental Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Regional seismic risk of railway system including derailment consequences</dim:field>
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   	&lt;Title>Regional seismic risk of railway system including derailment consequences&lt;/Title>
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   	&lt;PublicationDate>2006&lt;/PublicationDate>
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        	&lt;DisplayName>Uchiyama, Yayoi Misu&lt;/DisplayName>
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    &lt;Keyword>Civil and Environmental Engineering.&lt;/Keyword>
   	&lt;Abstract>To evaluate the seismic risk of railway networks, a derailment consequence model and a regional approach are developed The consequence model estimates the casualty and fatality rates for passengers as a function of train speed and includes two sub-models. The first sub-model, which is for the case when the train remains in its own track after derailment, was developed using historical accident data. The casualty and fatality rates are estimated using a linear logistic model. The other sub-model, for the case of head-on collision and train fall, was developed using numerical simulation results by the U.S.DOT. The regional approach estimates earthquake risk for the entire network In the approach, first, the probabilities of possible derailment scenarios including head-on collision cases are calculated To calculate the probabilities of derailment due to seismic vibration and facility damage, the derailment probability model is applied After one scenario is selected by Monte Carlo method based on calculated probabilities, the consequences are calculated for the scenario applying the consequence model developed previously. Through an application to the Tohoku Shinkansen line, we illustrate how the system is in many ways an improvement over the current JR East system.&lt;/Abstract>
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