Transportation data as disruptive innovation in Mexico City

Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2014. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 76-84). === Despite the popularity of big data and smart city initiatives in rich countries, relatively few...

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Main Author: Eros, Emily J. (Emily Jean)
Other Authors: P. Christopher Zegras.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2014
Subjects:
Online Access:http://hdl.handle.net/1721.1/90096
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-900962019-05-02T16:21:37Z Transportation data as disruptive innovation in Mexico City Eros, Emily J. (Emily Jean) P. Christopher Zegras. Massachusetts Institute of Technology. Department of Urban Studies and Planning. Massachusetts Institute of Technology. Department of Urban Studies and Planning. Urban Studies and Planning. Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2014. Cataloged from PDF version of thesis. Includes bibliographical references (pages 76-84). Despite the popularity of big data and smart city initiatives in rich countries, relatively few city governments in the Global South possess even basic information about public transportation routes and operations within their jurisdictions. The growing ubiquity of affordable mobile phones and internet-capable devices has enabled some developing cities to begin collecting and compiling these data. This thesis uses a 2013 data collection project undertaken within the Federal District of Mexico City as a case study to examine the role of information as a disruptive innovation in the transportation sector; it explores the potential impacts of transportation information on microbus regulators, owners/operators, and users. To do so, it draws from literature reviews, interactions with transportation agency staff, and interviews with microbus operators. Findings suggest that increased static information may increase government power with respect to microbus operators, particularly during franchising negotiations, but that it may offer limited benefits to users. Dynamic (i.e., real-time) sensors could benefit regulators, owners, and users alike, but would require genuine support or tolerance from microbus drivers. If the government continues to expand its current franchise attempts, then real-time data collection would be achievable and could offer benefits to all involved parties. Otherwise, it would be unfeasible to incentivize drivers to allow live-tracking to take place on their vehicles. Regardless, the case study suggests that transportation information can play a significant role in changing the regulatory dynamics within the Global South and encourages further efforts in the field. by Emily J. Eros. M.C.P. 2014-09-19T21:39:29Z 2014-09-19T21:39:29Z 2014 2014 Thesis http://hdl.handle.net/1721.1/90096 890143648 eng 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 84 pages application/pdf n-mx--- Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Urban Studies and Planning.
spellingShingle Urban Studies and Planning.
Eros, Emily J. (Emily Jean)
Transportation data as disruptive innovation in Mexico City
description Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2014. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 76-84). === Despite the popularity of big data and smart city initiatives in rich countries, relatively few city governments in the Global South possess even basic information about public transportation routes and operations within their jurisdictions. The growing ubiquity of affordable mobile phones and internet-capable devices has enabled some developing cities to begin collecting and compiling these data. This thesis uses a 2013 data collection project undertaken within the Federal District of Mexico City as a case study to examine the role of information as a disruptive innovation in the transportation sector; it explores the potential impacts of transportation information on microbus regulators, owners/operators, and users. To do so, it draws from literature reviews, interactions with transportation agency staff, and interviews with microbus operators. Findings suggest that increased static information may increase government power with respect to microbus operators, particularly during franchising negotiations, but that it may offer limited benefits to users. Dynamic (i.e., real-time) sensors could benefit regulators, owners, and users alike, but would require genuine support or tolerance from microbus drivers. If the government continues to expand its current franchise attempts, then real-time data collection would be achievable and could offer benefits to all involved parties. Otherwise, it would be unfeasible to incentivize drivers to allow live-tracking to take place on their vehicles. Regardless, the case study suggests that transportation information can play a significant role in changing the regulatory dynamics within the Global South and encourages further efforts in the field. === by Emily J. Eros. === M.C.P.
author2 P. Christopher Zegras.
author_facet P. Christopher Zegras.
Eros, Emily J. (Emily Jean)
author Eros, Emily J. (Emily Jean)
author_sort Eros, Emily J. (Emily Jean)
title Transportation data as disruptive innovation in Mexico City
title_short Transportation data as disruptive innovation in Mexico City
title_full Transportation data as disruptive innovation in Mexico City
title_fullStr Transportation data as disruptive innovation in Mexico City
title_full_unstemmed Transportation data as disruptive innovation in Mexico City
title_sort transportation data as disruptive innovation in mexico city
publisher Massachusetts Institute of Technology
publishDate 2014
url http://hdl.handle.net/1721.1/90096
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