TRAINING.

Overview

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

• Use the knowledge for integrating new mobility and technologies for shared, connected, electrified and automated mobility systems for cities
• Be familiar with new multimodal mobility framework for land-use planning, street design, and space allocation while applying mobility-as-a-service, smart data and influence of artificial intelligence concepts in mobility planning and design

Description
Shifts in lifestyle, demographic changes, the rise of the “Mobility-as-a-Service” concept and people-oriented planning culture are paving the way for a new mobility ecosystem while replacing the auto-oriented paradigm. Despite growing attention and continued progress in new disruptive technologies, practical resources and content are rare.

In the first two sections, this course introduces new mobility landscapes in the intriguing city-building context and a new innovative mobility planning process. It reinvents multimodal mobility assessment with innovative technologies in subsequent sections, detail analysis, policy-making and practical guidance for all new major modes and technologies and the expected influence of artificial intelligence and electrification. The final section contains strategies for redesigning all possible mobility elements of city building and implementing policies and practices that reinforce low-carbon mobility options while addressing environmental and health benefits and social equity for all users.

Course Outline:

• Emerging Mobility Paradigm
• Innovative Planning and Design for Multimodal Mobility Ecosystem
• Urban Sensing: Integrating Smart Data, Visualization and Virtual Reality
• Planning, Operation and Design for Shared Vehicles or Bicycles or Micro-Mobility
• Integration of New Technology in Public Transit
• EMobility Planning, Operation and Design
• Fundamentals of Artificial Intelligence and Mobility Automation
• Mobility-as-a-Place: Enhancing Public Realm in Cities
• Implementation of Multimodal Mobility Systems
• Project experience

Who Should Attend
Business Development and Sales Analyst • Intelligent Transport System (ITS) Analyst • General Planning Data Analyst • Smart City Experts • Shared Mobility Planners and Operations staff • Multimodal Traffic and Transportation Engineers • Transit Planners and Operators • Mobility Start-up Sectors • Active and Sustainable Planners and Operators. The following personnel from the mobility service sector: Master Planning and Operations • Mobility Services Providers and Coordinators • Mobility Service Designer/ Technologists • Simulation Specialists • Mobility Schedulers and Pricing • Artificial Intelligence and Deep Learning Practitioners/Programmers • Mobility Route Designers/ Analysts • Environment Analysts • Operation Specialists and Technologists • Modeling Analysts • Planners • Policy Makers / Analysts • Mobility Automation and Self Driving Specialists • Smart Mobility Software and Developers • Safety Specialists • GIS/GPS Applications Analysts • Financial and Economic Analysts • System Planners • Maintenance and Operation of Shared Vehicles or Bicycles

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

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

Multimodal Mobility Ecosystem: Planning Innovation and Design Fundamentals

• Planning for Carless, Car-lite and Car-free Mixed-Use for All Abilities and Age
• Integral Urban Planning and Innovative Mobility
• Placemaking and Innovative Mobility Interface
• Fundamentals of Multimodal Travel Demand and Multilayered Mode Share
• Replacing Planning Paradigm and Design Principles for Men to All Gender, Ages and Ability
• Faces of New Mobility and Demography: Planning for Women’s Empowerment, Aging Society, Universal Accessibility and Children's Independence
• Diversity of Travel Purpose: Work or School, First-and-last-mile, Last Metre, Last Minute and Last Mass Trips
• Innovative Master Planning: Process, Resource, Theoretical Foundations
• Multimodal Demand: Accessible Transit, Active Transportation and Shared Mobility Models
• The emergence of Multimodal Ecohubs and Service Interface

Integrating Multimodal MaaS, Smart Data, Dynamic Visualization and Virtual Mobility 

• Replacing Car Ownership with Multimodal Service and Seamless Access
• Predicting Personal Multimobility and Multilayered Service and Payment Integration
• Influence of Blockchain on MaaS and Multimodal Systems
• Influence of IoT and Multimodal Planning
• Urban Sensing and Civic Computing: A New Mobility Science and Data
• Smart data for Planning Projection and Travel Trends
• Integrating Smart and User-Focused Survey with Crowdsource Data for Multimodal Planning
• Deep learning from Realtime Data for Travel Patterns
• Multimodal Trips with Smart Data and Deep Learning
• Dynamic Visualization of Multimodal Trips and Patterns
• Application of Virtual Reality, Realtime Data
• Public Interface and Smart Data Presentation

Shared Vehicle Systems: Planning, Operation and Design

• History of Shared Vehicle and Initial Failure
• The emergence of New Shared Vehicle Business
• Types of Carshare
• Policy and Planning considerations for Carshare Systems
• Carshare Network and Planning Issues
• Elements of Carshare Planning
• Overall Carshare Demand Forecasting, Location selection, trip generation process and estimation techniques
• Carshare Network design: candidate trips, fleet size and management, fleet distribution problems, network and location assignment, area-wide and equitable network, and publicly accessible access.
• Creating Service Space for Carshare Vehicles: Multimodal Ecohubs
• Fundamentals of Fleet, Distribution and Operational issues
• Carshare Operation and Access Considerations
• Integrating Carshare with Development
• Integration carshare with employment, campus/complex and retail
• Integration of Carshare on-street, Carpark and Garage
• Urban Design and Aesthetics for Carshare Design Spaces
• Vehicle Automation on Carshare
• Carshare Impact on Auto-trip and Parking Reduction
• Evaluation of Hard and Soft Infrastructure Improvements
• Access Control Management and Integration with Other Transportation Modes

Rideshare, Ride-Hailing, Ride Slitting and Dynamic Carpool Systems: Planning, Operation and Design 

• Early Periods of Ridesharing and Initial Failure
• Technology and New Business that Brough Down Century Old Taxi System
• Types of Rideshare, Service and Business Models
• Policy and Planning Considerations for Paid Shared Systems
• Elements of Rideshare Planning, Network Coverage and Service Locations
• Overall Rideshare Demand Forecasting and Estimation Techniques
• Impact on Infrastructure: Fundamentals of Fleet, Driver Recruit and Operational issues
• Creating Service Space for Rideshare Vehicles: Multimodal Ecohubs
• Rideshare Equity and Access Considerations
• Negative Impacts and Finding Niche Market for Public Benefits
• Integrating Rideshare with Land-use, City Structures and Developments
• Urban Design and Aesthetics for Rideshare or Carpool On- or Off-Street Design
• Impacts of Vehicle Automation: Planning and Design Implications
• Parking Impact of Rideshare
• Evaluation of Hard and Soft Infrastructure Improvements
• Access Control Management and Integration with Other Transportation Modes

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 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

Electrification and EMobility: Guide to Planning, Operation and Design

• Myths of Electric Vehicles and Climate Change
• Sources of Energy, Urban Impact and Basic Structures
• Overall Framework of Estimating Demand, Range Anxiety
• Supply Network and Realtime Detection
• Crowdsource and Traditional Maintenance, Operation and Enforcement
• Integrating Plugins and Service Hubs though Public realm and Urban Design
• Building Base Plugin Network: On-street, Third Party Paid and Private Systems
• Types of Electric Plugins and Infrastructure Changes
• City Policies Towards Full Electrification: Residential and Non-residential
• Overall Incentives for Vehicles, Space and Priority in City Space

Fundamental of Mobility Automation: Automated Shared Systems 

• Changing Urban Demography and Decline of Car Ownership
• Changing City Governance: Cities for People, not for Cars
• Battle of Existing and Rise of Technology in the Automotive Industry
• The Great Transition: New DNA of Automobile and City Planning Impact
• Types of Urban AVs and Infrastructure Impact
• Reinventing Service Cars for Urban Use and Lifestyle
• The Evolving Vehicle and Impact on Urban Transportation
• Energy, Space and Structural Redesign through City Planning
• Connected Cars and Traffic Control Redesign
• Rethinking Policies and Regulations: Blending in Multimodal Environment and Planning Interface
• Impact on Planning: New Mobility Market, Parking and Pricing
• Land-Use Impact: Sprawl Expansion or Shared Compact City around Transit
• Creating Policies to Control and Regulate Shared AVs

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
• Hard 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. A student who takes this project experience is required to submit an on-the-spot- project summary. If the student completes the project successfully, he/she will be qualified to achieve the course certification paper.

Project Course Contents: Student Will Perform the Following with 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.