TRAINING.

Multimodal Mobility Ecosystem: Smart Solutions for Livable Cities

Online /
Sep 22 - 26, 2025 /
Course Code: 16-0901-ONL25

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  • Overview
  • Syllabus
  • Instructor

Overview

Please note, This instructor-led course has specific dates and times:
This course is held online over 5 days on the following schedule (All times in Eastern Time Zone):
Daily Schedule: 10 am to 2:50 pm Eastern Time

Course Prerequisite
Basic knowledge of transportation planning • Transportation design & operations • Basic science & engineering programs • Basic urban planning & design is preferred.

After participating in this course, you will be able to:

  • Integrate new mobility technologies, including shared, connected, electrified, and automated systems, into urban planning strategies.
  • Develop and apply multimodal mobility frameworks for comprehensive land-use planning, street design, and space allocation.
  • Leverage mobility-as-a-service (MaaS) concepts, smart data, and artificial intelligence to enhance urban mobility planning and decision-making.
  • Design sustainable mobility solutions that promote low-carbon options and address social equity, environmental benefits, and public health.
  • Implement innovative policies and practices to redesign urban mobility systems, making them more inclusive and efficient.

Description
As cities continue to grow and evolve, there is an increasing need for innovative mobility solutions that cater to the changing needs of urban populations. Lifestyle shifts, demographic changes, and the rise of "Mobility-as-a-Service" (MaaS) are driving a shift from auto-centric planning to a more people-oriented approach. This course explores the emergence of a new mobility ecosystem, examining the integration of disruptive technologies like electrification, automation, and artificial intelligence and how they are reshaping urban transportation.

This course will be particularly beneficial to individuals working in business development, intelligent transport systems, transit planning, and shared mobility operations. Additionally, policy makers, data analysts, artificial intelligence practitioners, and environment analysts looking to integrate innovative mobility solutions into their practices will gain valuable knowledge.

The course also welcomes those from mobility start-ups, maintenance and operations of shared vehicles or bicycles, and financial or economic analysis sectors.

Special Features & Requirements

Course Prerequisite
Basic knowledge of transportation planning • Transportation design & operations • Basic science & engineering programs • Basic urban planning & design is preferred.

More Information

Time: 10:00 AM - 2:50 PM Eastern Time


Please note: You can check other time zones here.

Syllabus

Introduction to New Mobility Systems 

  • The emergence of New Mobility: Convergence of Socioeconomic and New Technologies
  • Mobility Megatrends
  • The emergence of Asset-light Business Model: The Fourth Industrial Revolution and IoT
  • Transformation of the Automotive Industry
  • Seamless Travel and Connectivity: Drivers of Mobility-as-a-Service
  • Convergence of New Mobility, Infrastructure and Urban Planning
  • Engineering New Multimodal Mobility: Tools and Solutions
  • Integration with Smart City and Mobility Ecosystems
  • New Mobility Governance
  • New 3P (Planet, People, Profit): Social Business Models for Innovative Mobility Funding
  • Related technical documents/manuals/ guidelines

Emerging Mobility Paradigm

  • Urban Boundary Limits: Interconnected World and Mobility
  • The framework of New Mobility Ecosystem: Fundamental Components
  • Connecting Mobility to Intelligent Space Design, Efficient Building, Data and Power Network
  • Convergence Personal and Shared Mobility
  • Private vs Shared Network Mobility
  • Tackling Infrastructure Expansion with Microscaling and Managing Demand User Control and Pay-as-you-go Interface of New Mobility
  • Positive and Context-based Inclusion of Connect and Automated Mobility
  • The backbone of New Mobility Ecosystem: Shared Sustainable vs. Reinvented Automobile
  • Smart Data, real-time and Open Share System
  • Growing Influence of Deep Learning, Artificial Intelligence Towards New Mobility

Shared Bikeshare and Micro-mobility Systems: Guide to Planning, Operation and Design

  • Early and Modern Evolution of Bikeshare and Micro-mobility
  • Types of Bikeshare/Micro-mobility and Service Packages
  • Emerging Technologies Changing City Landscape and Policies
  • Fundamentals of Bikeshare and Micro-mobility Demand
  • Fundamentals of Infrastructure Supply Model
  • Creating Service Space for Shared Bicycles or Micro-mobility: Multimodal Ecohubs
  • Selection of Areas, Service Coverage, Station Density and Accessible Network
  • Designated Area and Redistribution Challenges
  • Integration with Other Modes and Complementary Functions
  • Hand-in-Hand: Bicycle Infrastructure and Bikeshare/Micro-mobility Services
  • Impact on Policies for Operational, Safety and Business Sustainability Challenges
  • Equity, Gender, Priority and Funding Challenges
  • Data Collection, Trends, Crowdsource Resources

Microtransit and Shared Transit: Integration of New Technology in Public Transit

  • The emergence of Shared Technology and the Changing Face of Transit
  • Reinventing Transit to Fill Service Gaps
  • Types of Micro or Shared Transit and Impact on Urban Services
  • Complex or Campus Specific Service: Smart Shuttle, Dynamic Vanppol
  • Scenario Planning for Conventional, Mircrotransit and Transit AVs
  • Demography, Aging and Accessibility Challenges of New Transit
  • New Transit and Multilayered Mode Share
  • Changes in Demand Forecasting and Impact City Planning Policies
  • Impact of Shared Transit on Other Modes and Choices
  • Affordable Transit and Matching Short Trip Demand
  • New Partnership for Shared Transit: Public Base with Private Feeders or Full Integration
  • Factors of Microtransit and Traditional Transit
  • Creating Service Space for Shared Transit: Multimodal Ecohubs
  • Development Policy and City Policy Changes

Fundamental of Artificial Intelligence (AI): Application of Machine Learning Deep Learning in Mobility Ecosystems

  • Deep learning for Intelligent Transportation
  • Opensource AI Tools: Planning, Forecasting and Predictive Analytics of Mobility Planning
  • Deep Learning for Origin-destination Travel Pattern
  • Deep Learning Applications for Crowdsourced and Secured Multimodal Planning
  • Deep Learning from Crowdsource Transit Travel, Vehicle Movement and Infrastructure Estimation
  • Predictive Capacity of Incident Detection on City Streets and Highways
  • Visual Street Scene and Cityspace: Revolutionary Impact on Urban Design and Mobility Infrastructures
  • Crowdsource vs Secured Systems: Vehicle-to-Vehicle and Infrastructure Detection and Connected Cars 
  • Object Detection, Automation and Impact on City’s Infrastructure
  • Pedestrian Detection: State of The Art of Safety, Design and Policy Changes
  • Deep Convolutional Neural Network for Pedestrian Detection and Smartphone Mode Detection
  • Cycling Safety, Object Detection and Deep Learning Applications
  • Impact on Urban Pattern Detection through Object Learning

Fundamentals of New Mobility System Design: Integration of New Mobility and Technology While Enhancing Public Realm 

  • New Mobility Supply for Lifestyle and Intelligent Demand Management
  • Complex Infrastructures of Mobility-as-Service: Design Concepts of Multimodal Ecohubs and Service Interface
  • Intelligence Space Design: Integrating Mobility with Green Street and Low-Impact Development
  • New Equation for Shared Parking and New Parking Bylaw
  • Smart Multiuser and Shared Parking Systems for Shared Mobility
  • Coding for New Street Curb and City Vehicle Travel Lanes
  • Designing On-street and Laneways for eMobility and Shared Vehicle Systems
  • Designing Lingering Space: Extending Parks, Intersection Corners and Building Frontage
  • Designing for Women and New Mobility for Safety and Security
  • Design for Children
  • Designing for Digital Access and Mobility Kiosks
  • Designing and Integrating Street Control for User Input and Smart Detection

Implementation of Multimodal Mobility: Systems, Process Change, Partners, New Practice, New Mobility Supply for Lifestyle and Intelligent Demand Management

  • City Planning Policies for New Mobility Ecosystem
  • New Approach and Policies for Area and Neighbourhood Planning
  • Green and Intelligent Development Standards for Multimodal Shared Mobility
  • Municipal Bylaw and regulations for Multimodal Shared Mobility
  • New Street Design Standards and Guidelines for Charging Practice
  • Tactical Urbanism and Trial-and-Error Approach to Introduce New Mobility
  • Promoting MaaS and Multimodal through New Mobility Service and Operational Strategies
  • Dynamic Curbside and Promenade Management with New Revenue Stream
  • Building new Stakeholder Partnerships with Automotive, Business and Private Development
  • Smart Tracking and Monitoring of New Multimodal Centres

Project Experience: Industrial Project Practice

  • This project will provide students with hands-on experience in new mobility systems and the reinvention of the traditional mobility planning/transportation engineering industry. Students who take this project experience are required to submit an on-the-spot project summary. If the student completes the project successfully, they will be qualified to achieve the course certification paper.

Project Course Contents: Student Will Perform the Following with the Class Instructor's Assistance

Project Course Contents: Student Will Perform Relevant Exercises with the Class Instructor's Assistance

  • Data needs and process understanding by students,
  • Project formulation,
  • Project analysis approach,
  • Methodology of project analysis and techniques,
  • Standard manual/ guideline and best practice evaluations
  • Verification of analysis results, exhibit preparations
  • Evolution of developed solution or designed sample
  • Project report writing and result presentation

Questions and Answers and Feedback to Participants on Achievement of Learning Outcomes

Instructor

Dewan Karim, M.A.Sc., MITE, P.Eng., PTOE

Educated at the University of Tokyo, Japan, Dewan spent more than sixteen years of his career in mobility master planning, smart innovation in urban innovation, shared mobility and transit planning projects in both Japan and Canada. Recently, he developed a new innovative mobility ecosystem master planning concept combining new mobility systems, innovative technologies, equitable use of public space, sustainable safety, and evidence-based scientific approach for rebuilding cities for people. The project concept and innovative applications was awarded by MIT Media Lab conference as “best planning system” and ITE Project of year in 2015.

Subsequently, he published a chapter of “Disrupting Mobility” by Springer University of California, Berkeley. He is currently writing a book titled “Our Mobility DNA” with Taylor and Francis and teaching a professional course to summarize innovative mobility concepts and outcomes of urban master planning projects.

He is a registered member as a Professional Engineer in Ontario, British Columbia, Nova Scotia and certified as a Professional Traffic Operation Engineer.




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Fee & Credits

$1995 + taxes

  • 2.1 Continuing Education Units (CEUs)
  • 21 Continuing Professional Development Hours (PDHs/CPDs)
  • ECAA Annual Professional Development Points
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