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FOUNDATIONS OF MOBILITY

Mobility Behavior & Technology

Key Information

Course Dates

Time Commitment

Approximately 125 self-paced hours

CREDENTIALS

DIGITAL BADGE

Issued by:

Earn a digital badge after successful completion of the course.

DIGITAL CERTIFICATE

A certificate will be awarded upon successful completion of this course.

COURSE I

The 15-week Mobility Behavior & Technology online course focuses on individuals’ choices within the scope of mobility. Participants explore the role of mobility in individual equity, such as health and external social influences like environmental and safety concerns. 

LEARNING OBJECTIVES

By the end of this two-course program, students will be able to:

  • Define mobility as it relates to multiple disciplines, areas of expertise, and stakeholders (mobility as an ecosystem)
  • Identify challenges and successes when employing mobility concepts
  • Apply mobility ecosystem concepts and techniques to solve specific mobility challenges

PROGRAM OVERVIEW

In this online course, you will learn from a multidisciplinary team of experts from Civil and Environmental Engineering, the U-M Transportation Research Institute, Energy Institute, and School of Public Policy. Instructors cover the role of mobility in individual equity, such as health and external social influences like environmental and safety concerns. Specific topics include the influence and role of mobility in poverty, health, and personal well-being. An overview of safety for conventional and future vehicles is also covered as well as considerations for persons with mobility limitations. Additionally, Mobility Behavior & Technology addresses regulatory influences within mobility, such as sustainability and behavioral economics, along with external influences like the challenges associated with the management of mobility-related data.

  • You will have access to this course for 15 weeks.
  • Each course module contains 7-8 hours of required recorded material and associated testing assessments.
  • In its entirety, the course contains 42 hours of recorded instruction, with approximately 84 additional hours of readings, exercises, and assessments.

In addition to self-paced learning, you have the opportunity to engage with U-M faculty via email.

  • Successful completion of all course modules, readings, and testing assessments with an 80% pass rate is required to earn a digital badge for this course.
  • To earn a Certificate in Foundations of Mobility, successful completion of this course and Course II: Mobility Systems Design, Finance, and Regulation is required.

There are no prerequisites for this course. 

To view technical requirements, click here.

Administrative/Online Technical Support

Support staff are available via phone and email to help with administrative and technical issues during our normal business hours (Monday through Friday 8:00 a.m. to 5:00 p.m. Eastern Time). Contact us at nexus-answers@umich.edu.

Content Questions and Support

Candidates are welcome to contact the course instructors and/or their course assistants with content-related questions and support.

Course Outline

Instructor

James Sayer, PhD

  • Director, University of Michigan Transportation Research Institute (UMTRI)

Module Overview

In this introductory module, Dr. Jim Sayer provides an overview of the Mobility Behavior & Technology course so you know what to expect as you progress through the material. You will also review various use cases to better understand how individuals are affected by some of the decisions/actions covered in the course’s different topic areas. This module also provides information about the course schedule and navigation, and offers you an opportunity to introduce yourself to your instructors and classmates.

Module Topics

  • Course Overview
  • Use Cases
  • Course Schedule & Navigation
  • Student Introductions

Instructor

Robert Hampshire, PhD

  • Associate Professor, Ford School of Public Policy
  • Research Assistant Professor, University of Michigan Transportation Research Institute (UMTRI)

Module Overview

This module covers the social and behavioral implications of mobility, including the intersection between transportation and economic mobility, urban sprawl and segregation, and transportation equity. Topics such as accessibility and human dynamics are discussed, along with social implications for the disabled and aging. You will also learn about the societal impacts of mobility technology and innovation, including privacy, socio-economic impacts, and ownership models.

Module Topics

Connecting People

  • Economic Mobility 1
    • Systems Thinking and Mobility 
    • Moving to Opportunity  
  • Economic Mobility 2
    • Intergenerational Economic Mobility 
    • The Role of Urban Sprawl and Segregation
  • Accessibility and Equity
    • Transportation Equity 
    • Mobility and the Disabled
  • Interaction and Social Isolation
    • Neighborhood Isolation 
    • Human Dynamics and Tribes
  • Interaction, Social Isolation, and Aging
    • Driving Cessation and Aging in Place

Technology and Innovation

  • Data Sharing and Privacy
    • Mobility Data Supply Chains
  • Socio-Economic Impacts of CAVs
    • Scenario Planning 
  • New Mobility and Sustainability
    • Sustainability Implications of Various Ownership Models for CAVs

Instructor

Monica Jones, PhD

  • Assistant Research Scientist, University of Michigan Transportation Research Institute (UMTRI)

Module Overview

The ability to move around with comfort and ease, without risk of injury, is fundamental to mobility. This module explores the many health and safety implications of mobility, ranging from injury biomechanics to special occupant demographics. You will begin by learning key biomechanical and epidemiological information, including safety considerations, crash data statistics, injury-causing mobility events, crash testing and modeling, and occupant protection. The module then covers several specific occupant populations, such as child passengers, pedestrians, and people with disabilities. Finally, you will learn about the safety considerations of automated vehicles.

Module Topics

  • Introduction: Occupant Safety/Injury Biomechanics
  • Epidemiology: Crash Data Statistics
  • Injury Biomechanics I
  • Injury Biomechanics II
  • Occupant Protection
  • Special Population of Occupants:
    • Child Passengers
    • Obese Occupants
    • Pedestrians/Cyclists
    • Older Drivers
    • Young Drivers (Teens)
    • People with Disabilities
      • Mobility Impairments
    • People with Disabilities
      • ADA Requirements
      • Public Transportation and Barriers
    • Behavior/Social Factors
    • Cognitive Impairments and Dementia
    • Visual-Blind
  • Automated Vehicles and Future Safety:
    • Occupant Protection
    • Driver Assistance Systems
    • DSM
    • Motion Sickness 

Instructor

John DeCicco, PhD

  • Associate Director, Research Professor, University of Michigan Energy Institute

Module Overview

This module examines the many ways that transportation affects the environment, including factors that determine the scale of impact and how these factors affect externalities such as air pollution and greenhouse gas emissions. You will learn about transportation energy use, how environmental concerns have been addressed to date, and technologies that can help improve the sustainability of mobility. This module also covers the environmental effects of major modes of transportation, including light-duty vehicles (personal travel), medium and heavy-duty vehicles (goods movement), air travel, and maritime shipping. By the end of the module, you will understand how major impacts are measured, know where to find data on the environmental effects of mobility systems, and recognize the public agencies and other entities involved in addressing mobility and the environment. 

Module Topics

  • Introduction – Module Overview and Key Concepts
  • Travel Demand 
  • New Mobility Systems and the Future of Travel Demand 
  • Transportation Energy Use 
  • Transportation and Global Climate Change 
  • Transportation and Air Quality 
  • Motor Vehicle Emissions Control Systems 
  • Progress and Challenges in Motor Vehicle Emissions Control 
  • Vehicle Efficiency – Light-Duty Vehicles
  • Vehicle Efficiency – Medium- and Heavy-Duty Vehicles
  • Renewable Fuels 
  • Electric Vehicle Technologies 
  • How Do Plug-In Hybrid Electric Cars Work? 
  • Electric Vehicle Energy and Emission Impacts 
  • Air Travel and the Environment 
  • Toward Sustainable Mobility – Module Summary and Synthesis

Instructor

Henry Liu, PhD

  • Professor, Civil and Environmental Engineering
  • Research Professor, University of Michigan Transportation Research Institute (UMTRI)

Module Overview

This module examines trends, opportunities, and challenges associated with intelligent transportation systems. You will learn about connected and automated vehicles, including communications technology, data standards, cybersecurity and privacy, and intelligent sensing/control. The module also covers road infrastructure technologies, such as traffic management and modeling applications, along with mobility services like mapping and decision-making technologies. You will walk away with a big picture understanding of smart transportation and its many applications.

Module Topics

  • Introduction to Smart Transportation Systems 
  • Connected Vehicle (CV) Technologies 
    • Communication Technology and Protocols
    • CV Data Standards
    • CV Applications
  • Automated Vehicle (AV) Technology 
    • AV sensing, planning, and control
    • AV testing and evaluation
    • Cyber security and privacy with CAV
  • Road Infrastructure Technologies 
    • Traffic Management Technologies
    • Traffic Modeling and Simulation
    • Traffic management with CAVs
  • Mobility Service Technologies 
    • Map Services I: Map Matching, Route Planning, Estimated Time of Arrival (ETA) 
    • Map Services II: Traffic Estimation, Traffic Forecast 
    • Decision Making Services: Dispatching
  • Summary

Instructor

Carol Flannagan, PhD

  • Research Associate Professor, University of Michigan Transportation Research Institute (UMTRI)

Module Overview

This module provides an overview of key datasets, analytical tools, and data concepts related to mobility. You will learn a variety of data types and sources — from crash data to travel data to emissions data — while understanding how to appropriately use mobility data in analysis, modeling, and decision-making. These concepts will be presented at a conceptual level, in the context of example use cases. You will come away with an understanding of where to find data, what each dataset represents, and the kinds of questions it can inform, in addition to the role and use of predictive models such as classical statistical and machine-learning models.

Module Topics

  • Basic Concepts
  • Roadway Safety Planning Use Case #1
  • Models and Prediction
  • Roadway Safety Planning Use Case #2
  • Sampling and Bias
  • Transit Planning
  • Automotive Engineering
  • Data Sources
  • Environmental Protection Agency
  • Analysis Goals and Equity Concepts
  • City Planning
  • Classical Statistical and Machine Learning
  • Automotive Engineering
  • Wrapping Up

Instructor

James Sayer, PhD

  • Director, University of Michigan Transportation Research Institute (UMTRI)

Module Overview

Dr. Jim Sayer concludes the course by reviewing the use cases discussed in the opening module and summarizing the importance of taking an “ecosystems” approach to mobility. You will also have an opportunity to take a short survey following the course.

Module Topics

  • Conclusion
    • Review of Use Cases
    • Taking an Ecosystem Approach
  • End of Course Survey

INSTRUCTIONAL TEAM

James Sayer

James Sayer, PhD

  • Program Lead
  • Director, U-M Transportation Research Institute (UMTRI)
John DeCicco

John DeCicco, PhD

  • Research Professor Emeritus, Energy Institute
Carol Flannagan

Carol Flannagan, PhD

  • Research Associate Professor, U-M Transportation Research Institute (UMTRI)
Robert Hampshire

Robert Hampshire, PhD

  • Deputy Assistant Secretary for Research and Technology, U.S. DOT
  • Former Associate Professor, Ford School of Public Policy
Monica Jones

Monica Jones, PhD

  • Assistant Research Scientist, U-M Transportation Research Institute (UMTRI)

Henry Liu, PhD

  • Professor, Civil and Environmental Engineering
  • Research Professor, U-M Transportation Research Institute (UMTRI)
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