MIT School of Architecture and Planning

Smart Mobility: Reimagining the Future of Transportation Tech & Sustainable Cities

COURSE STARTS
26 Jan 2022
Registration closes 1 Feb 2022

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

COURSE STARTS

26 Jan 2022

Registration closes 1 Feb 2022

 

PRICE

$2,900

Payment options

Length: 6 weeks

Language: English

Effort: 7-10 hours per week, collaborative online learning

Why Study Smart Mobility?


From autonomous driving technologies, to electric vehicles, to smart cities, innovations in mobility and transportation are reshaping our cities, changing how we live and creating new business opportunities.

Learners will explore the technical components of the mobility and computational industries to better understand historical cases and be able to apply concepts learned to an outside the box mobility idea.

 

“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


    • Actionable understanding of critical trends within the mobility space and the ability to capitalize on them.

 

    • The ability to utilize technology to reimagine the future state of mobility.

 

    • The ability to apply forms of integration such as land use and transit-oriented development to future designs and policy.

 

    • Coveted industry knowledge from a market-driven curriculum designed and delivered to the standard of an elite academic institution.

    • A powerful professional network from building connections with a global cohort of leaders, influencers and course participants.

    • 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.

Full Name

Likely a very long title for all the have done and are called

Link to bio

Full Name

Likely a very long title for all the have done and are called

Link to bio

Full Name

Likely a very long title for all the have done and are called

Link to bio

Full Name

Likely a very long title for all the have done and are called

Link to bio

Full Name

Likely a very long title for all the have done and are called

Link to bio

Full Name

Likely a very long title for all the have done and are called

Link to bio

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.

Full Name

Likely a very long title for all the have done and are called

Link to bio

Full Name

Likely a very long title for all the have done and are called

Link to bio

Full Name

Likely a very long title for all the have done and are called

Link to bio

Full Name

Likely a very long title for all the have done and are called

Link to bio

Full Name

Likely a very long title for all the have done and are called

Link to bio

Full Name

Likely a very long title for all the have done and are called

Link to bio

Additional Guest Experts

Full Name - Likely a very long title for all the have done. / Full Name - Likely a very long title for all the have done. / Full Name - Likely a very long title for all the have done. / Full Name - Likely a very long title for all the have done. / Full Name - Likely a very long title for all the have done. / Full Name - Likely a very long title for all the have done. / Full Name - Likely a very long title for all the have done. / Full Name - Likely a very long title for all the have done. / Full Name - Likely a very long title for all the have done. / Full Name - Likely a very long title for all the have done. /

Download Brochure


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
  • AI coaching to improve your and your team’s collaboration

Want to Know More?


The Esme Learning Advantage
Payment options
Manage your success
Seek employer assistance
How to change your start date

The Esme Learning Way


Collaborative AI-enhanced learning

We teach executives as they work - in cross functional teams. Learners participate in interactive simulations and team projects which reinforce applied learning and enhance collaboration and complex problem solving skills. If you are looking for an individually-paced course, this course is not for you.

30x

improvement on completion rates compared to other online courses

Oxford Platforms and Digital Disruption Programme is delivered as part of a collaboration with Saïd Business School, University of Oxford 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.

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.