Secure your spot before orientation begins.
COURSE STARTS
February 1, 2023
Registration closes February 7, 2023
PREMIERE PRICING
$2,900 $1,850Payment options
Length:
6 weeks
Language:
English
Effort:
7-10 hours per week, collaborative online learning
MIT School of Architecture and Planning
Smart Mobility: Reimagining the Future of Transportation Tech & Sustainable Cities
Secure your spot before orientation begins.
Length: 6 weeks
Language: English
Effort: 7-10 hours per week, collaborative online learning
Why Study Smart Mobility?
Smart mobility is one of the most dynamic and exciting challenges of the future. To remake cities by democratizing transit, leaders and innovators must have a comprehensive understanding of the three pillars of modern smart mobility – technologies, technicalities, policies – and how they interact with complex, real-world systems. This course, at the top-ranked MIT School of Architecture and Planning, is a fast-track to foundational frameworks and field expertise for business leaders and entrepreneurs alike.
Large-scale transit projects rely on a sophisticated balance of sensor-based hardware and AI-enabled software in outdoor environments that constantly change. The deep science driving these innovations is technical and contingent upon complex energy systems, pricing models, surface logistics, and human behaviors. Throughout a smart mobility project lies the specter of heavy regulations and overlapping bureaucracies.
In this course, learners will simplify the equation by analyzing the successes and challenges of global smart mobility initiatives. By developing smart mobility leadership principles, learners will also create a proposal for a sustainable, integrated urban transit system that threads the smart mobility needle. The challenge is immense, but the payoff is massive: when we make it easier for kids to get to school, parents to get to work, and residents to explore their cities, we transform lives.
“We’re at the dawn of the most profound changes in transportation: an unprecedented combination of new technologies, such as autonomy, electrification, computation and AI, and new objectives, including decarbonization, public health, economic vibrancy, data security and privacy, and social justice.”
Prof. Jinhua Zhao, Director, MIT Smart Mobility Initiative
Is This Course Right For You?
You will benefit from Smart Mobility: Reimagining the Future of Transportation Tech & Sustainable Cities if you are:
- A business leader who wants to learn more about whole city plans, transportation systems and smart cities
- A management, transportation or technology consultant looking to explore the history and future of mobility
- A venture capitalist contemplating an investment in a mobility startup or company
- An urban planner or transportation planner seeking to understand mobility business models and be more effective when it comes to regulatory issues
Course Content
Module 0: Orientation
An overview of the course, the next-generation AI platform used to deliver it and the community of fellow innovators and leaders.
Module 1: The Future of (Getting to) Work
After completing this module, learners will be able to:
- List the transportation modalities relevant to contemporary multimodal transit systems.
- Recognize what Transit Oriented Development (TOD) is and how it can be utilized to create sustainable urban infrastructure.
- Theorize how the nature of work and urban mobility will shift in the near-future due to factors such as COVID and autonomous vehicle use.
- Describe the evolving network of relationships between employees, employers, workplace providers, mobility service providers, and policy makers.
Module 2: Redefining the Common Bus Stop
After completing this module, learners will be able to:
- Identify innovative opportunities that optimize existing urban transportation infrastructure.
- List the fundamental considerations for successful public-private partnerships.
- Evaluate the benefits and constraints involved in combining logistics and passenger systems.
- Leverage urban transportation infrastructure as a tool for placemaking to foster healthy, equitable communities.
- Recognize the challenges of last mile logistics and hypothesize how they may be addressed.
- Describe how the mohring effect influences the design of public transit systems.
Module 3: Data-driven Transit Design
After completing this module, learners will be able to:
- Discuss the trend of transportation evolving from a purely physical system to a dispersed physical/digital system.
- Recognize the relevance and key benefits of energy-efficient transportation on a national scale.
- Identify the function and value of national transportation policies as they relate to small businesses and entrepreneurship.
- Describe the role of data as a tool for designing more effective, equitable, and sustainable large-scale transit systems.
- Practice effective and responsible data collection, analysis, and sharing strategies.
Module 4: Converging Industries
After completing this module, learners will be able to:
- Propose urban transportation models where pricing—in both public and private systems—is used as a tool to facilitate behavioral and environmental change.
- Describe and evaluate the use of Mobility-as-a-Service (MaaS) in developed and developing countries.
- Illustrate how integrated pricing systems can function across the disparate industries of transportation, insurance, and petroleum.
- Take privacy and security into consideration when managing the sensitive consumer data—such as financials—inherent in mobility systems.
Module 5: A Decentralized Mobility System
After completing this module, learners will be able to:
- Navigate the advantages and constraints of a decentralized mobility system.
- Compare and contrast different transportation modalities to determine the best compatibility that balances efficiency, sustainability, and equity.
- Analyze the market structure of Transportation Network Companies (TNCs) in order to surface efficiencies.
- Recognize the broader impact TNCs have on urban mobility.
- Theorize how an international decentralized mobility system could be developed and managed.
Module 6: Infrastructure of Tomorrow
After completing this module, learners will be able to:
- Navigate policy gaps, resource needs, and disparate motives to create successful public-private partnerships.
- Describe how large-scale urban transit infrastructure changes have been implemented in the past and how such practices need to be adapted for the future.
- Illustrate the role land use and value capture play in urban transportation planning.
- Create proposals for sustainable, integrated urban transit systems that take advantage of new transportation modalities (e.g., autonomous vehicles).
What You Will Gain
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Actionable understanding of critical trends within the mobility space and the ability to capitalize on them.
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The ability to utilize technology to reimagine the future state of mobility.
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The ability to apply forms of integration such as land use and transit-oriented development to future designs and policy.
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Coveted industry knowledge from a market-driven curriculum designed and delivered to the standard of an elite academic institution.
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A powerful professional network from building connections with a global cohort of leaders, influencers and course participants.
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Proof of knowledge through a certificate of completion issued by MIT.
Your Faculty Directors
Prof. Jinhua Zhao
Faculty Director,
Associate Professor of Transportation and City Planning,
Director, MIT Smart Mobility Initiative
Jinhua Zhao is the director of the MIT Smart Mobility Initiative and Associate Professor of City and Transportation Planning at the Massachusetts Institute of Technology (MIT). Prof. Zhao brings behavioral science and transportation technology together to shape travel behavior, design mobility systems and reform urban policies. He develops methods to sense, predict, nudge and regulate travel behavior and designs multimodal mobility systems that integrate automated and shared mobility with public transport. He sees transportation as a language to describe a person, characterize a city and understand an institution and aims to establish the behavioral foundation for transportation systems and policies. Prof. Zhao directs the JTL Urban Mobility Lab and Transit Lab at MIT, co-directs the Mobility Systems Center of the MIT Energy Initiative and leads long-term research collaborations with major transportation authorities and operators worldwide, including London, Chicago, Hong Kong and Singapore.
Annie Hudson
Researcher, MIT Mobility Initiative
Annie Hudson is the Program Manager for MIT’s Smart Mobility Initiative and a researcher with the MIT JTL Urban Mobility Lab. Her research focuses on preparing cities for next-generation transportation technologies. She has worked as a consultant and researcher on a number of mobility projects for organizations ranging from the IADB to the World Bank to the Parisian government. Prior to her time at MIT, she spent time as an energy policy analyst and researcher at the Center for Strategic and International Studies in Washington, D.C., honing an expertise on energy transitions in Europe as well as ‘frontier’ energy innovations. She has also worked in communications for urban mobility companies, including Zipcar, Zagster and Avis Budget Group. She received dual master’s degrees in Urban Planning and Transportation Science from MIT and her bachelor’s in World Politics and German Literature from Hamilton College.
Prof. Alex "Sandy" Pentland
Faculty Director, Professor, Institute for Data Systems and Society
Alex “Sandy” Pentland is founding faculty director of the MIT Connection Science Research Initiative, which uses network science to access and change real-world human behavior, and is the Toshiba Professor of Media, Arts, and Sciences at the Massachusetts Institute of Technology (MIT). He also holds a triple appointment at MIT in Media Arts and Sciences, Engineering Systems Division and with the Sloan School of Business.
Sandy has helped create and direct MIT’s Media Lab, the Media Lab Asia, and the Center for Future Health. He chairs the IEEE Council on Extended Intelligence, and has been an Advisory Board member for Google, Nissan, Telefonica, the United Nations Secretary General, Monument Capital, and the Minerva Schools.
In 2012Forbes named Sandy one of the “seven most powerful data scientists in the world”, along with Google founders and the CTO of the United States, and in 2013 he won the McKinsey Award fromHarvard Business Review. He is among the most-cited computational scientists in the world, and a pioneer in computational social science, organizational engineering, wearable computing (Google Glass), image understanding, and modern biometrics. His research has been featured inNature,Science, andHarvard Business Review, as well as being the focus of TV features on BBC World, Discover and Science channels. His most recent books areSocial Physics (Penguin) andBuilding a New Economy (MIT Press).
Your Programme Instructors
More than 30 experts from around the world, including Massachusetts Institute of Technology faculty and industry leaders, draw on their expertise to provide a window into the change and potential opportunities in data strategy.
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Guest Experts
More than 30 experts from around the world, including Massachusetts Institute of Technology faculty and industry leaders, draw on their expertise to provide a window into the change and potential opportunities in data strategy.
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Additional Guest Experts
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How You Will Learn:
- Digital videos or audio content, augmented by material created exclusively for the course
- Quizzes and exercises designed specifically to help you understand and retain new information
- Dialogue with expert instructors and your peers via discussion forums and small group sessions
- Simulations and other carefully crafted interactions to provide an engaging learning experience
- Real-life examples that place information in context to help you understand how the concepts delivered in the course material can be applied to your work environment
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AI coaching to improve your and your team’s collaboration
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Smart Mobility: Reimagining the Future of Transportation Tech & Sustainable Cities is delivered as part of a collaboration with MIT School of Architecture and Planning and Esme Learning. All personal data collected on this page is primarily subject to the Esme Learning Privacy Policy.
© 2021 Esme Learning Solutions. All Right Reserved.