2026-09-20T23:32:24Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/300452026-06-06T01:06:35Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Joseph M. Sussman.
Amano, Yasuaki Daniel, 1978-
Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
n-mx---
2006-03-24T18:14:33Z
2006-03-24T18:14:33Z
2004
2004
http://hdl.handle.net/1721.1/30045
55589857
Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2004.
Includes bibliographical references (p. 57-58).
Congestion is a major problem for the major cities of today. It reduces mobility, slows economic growth, and is a major cause of emissions. Vehicles traveling at slow speeds emit significantly more pollutants than vehicles traveling at free flow speeds. It is therefore important to determine the extent of congestion in a city, and its impact on the environment. This thesis focuses on congestion in the Mexico City Metropolitan Area. Mexico City is one of the largest cities in the world, and faces severe levels of congestion and emissions. Although much of the transportation trips are made by high capacity modes such as buses and colectivo microbuses, a growing population and increasing automobile ownership rate will further exacerbate the city's mobility and environment. In order to measure the level of congestion in Mexico City, a network model was built. Combining data from a 1994 origin destination survey and the 2000 census with a digitized roadway network, we were able to determine the state of vehicle speeds on roadways throughout the city. This speed distribution was then used in the MOBILE6 model to estimate the total emissions from road based transportation sources. The network model was also used to study the extent of congestion and emissions for various future infrastructure projects. An analysis was done for a year 2025 growth scenario, where Mexico City continues to grow in population and size. The impact of two infrastructure improvements on congestion was also studied. The results of the model show that while it is a useful tool for studying congestion on a citywide scale, the effects of local infrastructure changes cannot be accurately modeled. Further work on improving the model may yield improved results on a greater level of detail.
by Yasuaki Daniel Amano.
S.M. in Transportation
58 p.
2082818 bytes
2082626 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Civil and Environmental Engineering.
Measuring congestion and emissions : a network model for Mexico City
Thesis
application/pdf
false
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="e37f2928-8fea-4e88-bb6b-8a399aacff9a">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>Measuring congestion and emissions : a network model for Mexico City</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2004</PublicationDate>
<Authors>
<Author>
<DisplayName>Amano, Yasuaki Daniel, 1978-</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Civil and Environmental Engineering.</Keyword>
<Abstract>Congestion is a major problem for the major cities of today. It reduces mobility, slows economic growth, and is a major cause of emissions. Vehicles traveling at slow speeds emit significantly more pollutants than vehicles traveling at free flow speeds. It is therefore important to determine the extent of congestion in a city, and its impact on the environment. This thesis focuses on congestion in the Mexico City Metropolitan Area. Mexico City is one of the largest cities in the world, and faces severe levels of congestion and emissions. Although much of the transportation trips are made by high capacity modes such as buses and colectivo microbuses, a growing population and increasing automobile ownership rate will further exacerbate the city's mobility and environment. In order to measure the level of congestion in Mexico City, a network model was built. Combining data from a 1994 origin destination survey and the 2000 census with a digitized roadway network, we were able to determine the state of vehicle speeds on roadways throughout the city. This speed distribution was then used in the MOBILE6 model to estimate the total emissions from road based transportation sources. The network model was also used to study the extent of congestion and emissions for various future infrastructure projects. An analysis was done for a year 2025 growth scenario, where Mexico City continues to grow in population and size. The impact of two infrastructure improvements on congestion was also studied. The results of the model show that while it is a useful tool for studying congestion on a citywide scale, the effects of local infrastructure changes cannot be accurately modeled. Further work on improving the model may yield improved results on a greater level of detail.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>