{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/30045"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/30045","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Measuring congestion and emissions : a network model for Mexico City","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_html":"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_has_math":false,"creators":["Amano, Yasuaki Daniel, 1978-"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.","school":null,"contributors":[],"advisors":["Joseph M. Sussman."],"committee_chairs":[],"committee_members":[],"year":2004,"date_issued":"2004","date_published":"2004","updated_at":"2026-07-22T22:22:20Z","subjects":["Civil and Environmental Engineering."],"languages":["eng"],"rights":["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."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/30045","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Joseph M. Sussman."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. 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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."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1721.1/30045"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2004.","Includes bibliographical references (p. 57-58)."]},{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M.in Transportation"]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Measuring congestion and emissions : a network model for Mexico City"]}]}],"canonical_facts":{"dc:contributor.advisor":["Joseph M. Sussman."],"dc:contributor.department":["Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering."],"dc:contributor.other":["Massachusetts Institute of Technology. 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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. 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