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dc.contributor.advisorP. Christopher Zegras.en_US
dc.contributor.authorFernandez Reyes, Santiagoen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Urban Studies and Planning.en_US
dc.coverage.spatialn-mx---en_US
dc.date.accessioned2016-10-25T19:17:43Z
dc.date.available2016-10-25T19:17:43Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/104995
dc.descriptionThesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2016.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionPage 136 blank. Cataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 113-118).en_US
dc.description.abstractThe Mexico City Metropolitan Area (MCMA) faces pressing mobility and environmental challenges. A growing group of academics, NGOs, international institutions, and government agencies point to the need to expand and improve the public transportation system, as well as move towards more sustainable urban development patterns. Transit-oriented development (TOD), an urban planning concept based on the coordination of transit infrastructure with dense, compact, and mixed-use neighborhoods, has been identified as a potential tool to address critical mobility, environmental, accessibility, and equity issues in the MCMAj. Yet, an effective TOD policy will require an understanding of the factors associated with transit ridership, particularly those related to the built-environment and land use. Traditional ridership estimation methods are data-intensive and prohibitively costly for many developing-world cities. In addition, they are not designed to analyze the influence pf station-level characteristics. Direct ridership modelling (DRM), a "sketch-planning" tool that uses multivariate regressions to predict station-level ridership, is a viable alternative that allows planners to achieve reasonable estimates quickly and economically, while also enabling the analysis of the relationship between the station-area built environment and transit ridership. In this thesis, I use data from a variety of public and open data sources to estimate direct ridership models for Mexico City's Metro and BRT systems, including sociodemographic, land use, built environment, transit system, and relative location characteristics. I find that some of the variables included have different effects on BRT and Metro, suggesting that the two systems play different roles within the public transportation network. Mainly, Metro ridership is driven by employment, while station-area population drives BRT ridership. Colectivos, a privately owned and operated semi-formal network of vans and microbuses -which had been hard to analyze due to lack of data- are important determinants of ridership in the mass-transit system. Interestingly, I also find evidence that built environment characteristics, such as well-Fonnected street grids, influence transit ridership. I discuss the implications of these results for a TOD policy in the Mexico City Metropolitan Area. The results point to the need of further research concerning travel and the built environment in developing-world cities, and support the claim that "sketch-planning" tools estimated with public and open data sources are useful to complement demand forecasts.en_US
dc.description.statementofresponsibilityby Santiago Fernandez Reyes.en_US
dc.format.extent136 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectUrban Studies and Planning.en_US
dc.titleStation-level ridership on Mexico City's subway and BRTen_US
dc.typeThesisen_US
dc.description.degreeM.C.P.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planning
dc.identifier.oclc960048505en_US


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