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Development and Application of Comprehensive Transportation Demand Management Model Dewan Masud Karim Senior Transportation Planner City of Toronto December.

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Presentation on theme: "Development and Application of Comprehensive Transportation Demand Management Model Dewan Masud Karim Senior Transportation Planner City of Toronto December."— Presentation transcript:

1 Development and Application of Comprehensive Transportation Demand Management Model Dewan Masud Karim Senior Transportation Planner City of Toronto December 2, 2014 Complete

2 Managing Finite Resources Emerging Face of Urban Mobility Emerging Mobility Current TDM Gaps Comprehensive Approach Sample TDM Model Implementation, Delivery, Monitoring

3 Source: Emily Elert, Daily Infographic: If Everyone Lived Like An American, How Many Earths Would We Need? If Everyone Lived Like An American, How Many Earths Would We Need?. Finite Planet

4 Source: Peter Berg, Fist Currencies on a Finite Planet, Simon Fraser University, "Earth provides enough to satisfy every man's need, but not every man's greed." — Mahatma Gandhi Managing Finite Resources  20 th century: struggle of ideologies  21 st century: struggle against depletion of natural resources, finite planet Current global crisis is not a temporary phenomenon!

5  “If we could first know where we are, and whither we are tending, we could better judge what to do, and how to do it” – Abraham Lincoln Managing Finite Resources Source: James Gustave Speth, America the Possible: Menifesto for a New Economy, Online Publishing, accessed on November 8, 2012.

6 <1700 ~ ~40 ~ ~80 ~1800 Brief History of Transport (R)evolution Evolution of Transport Technologies ~2003 Peak Travel How Transport Shaped Our Health, Environment & Social Life > ~92>1990~2000~ >2008>1980 Congestion & Declining Safety Brundtland Commission & Earth Summit Adult Obesity & Pollution Epidemic Child Obesity Crisis Retiring Babyboomers & Return of Walking Begginin g of Peak Travel Surprising Rise of Cycling Funding Shortfall & Credit Crisis Complete Street & Mutltimodal System 1980~ The ones who see things differently: They Have No Respect for Status Quo, Have Broken all Traffic Rules The Anti-Moses Janette Sadik-KhanMayor Myung-Bak Lee The Highway Builder & Destroyer Donald AppleyardHans ModermanIan GehlJane Jacobs Grandmother of Humanistic Planning Creator of Complete Street Inventor of Shared Street The Human Scale

7 Current Imbalance in Transport

8 Current Fragmented Approach Planning Problem Transit planning without walking & cycling is worthless Rise of ridesharing services and concerns

9 a. Conventional Approach b. Sustainable Approach Environmental and Social /Cultural Limitation Paradigm Shift of Urban Transport Policy

10 Emerging Mobility Dark Matter (96%) Visible Matter (4%) Our Current Planning, “Predict & Provide”, is like visible matter Most of future transport planning, “demand management” is like dark matter

11 Micro-mobility Inter-city Suburbs City Core Transit Core Travel Distance Public Transportation Intercity Train TOD Suburbs Multimodal Shared Mobility High- Density Modal Relations

12 TRANSIT CAR OWNERSHIP Future Commuting 2020 World Changing Transportation Model CARSHARING CAR RENTAL TAXI WALKING BICYCLING / BIKE SHARE

13 Driving Force of Generational Change Source: Image Credit: Darren Goldstein photo, 2. Info from: PWC, A shift to cloud computing and its impact on revenue recognition, 33. The Institute of Engineering and Technology and ITS UK, Local Authority Guide to Emerging Transport Technology, accessed on Nov 21, 2014.http://www.moneyville.ca/article/ toronto-condo-boom-being-fueled-by-single-women 3 Collaborative Sharing “Cloud computer offerings typically have usage-based, "pay as you go" pricing for transportation” “Pay-as-you-go” Generation “Toronto condo boom being fueled by single women (30%). They live nearby. Walk or take transit for commuting” – The Toronto Star “Live-as-you-go” Generation “Use-as-you-go” Generation RFID Disable People Crossing GreenMan+ for Seniors, Singapore Smartphone Controlled Traffic Signal, Dublin Traffic Control Inside Car Shared Car/Bike Parking

14 Source: Frost and Sullivan, Future Mobility, Mobility Guidelines, EU and UITP, 201. Emergence Mobility Providers Global Mega Mobility Trend Urbanization Carsharing/ Carpooling New Micro Mobility Cheaper Public Transport New Business Models E-mobility Mega & Smart Cities Integrated Mobility New Rail Technology Rise of Social Media Connected and Wireless World Ecoboomers

15 Mobility Integrators Online Mobility Services Smartphone & Collaborators Mobility Operations Technology Solution Providers Payment & Fare Integration Mobility Integrations Easy and Simple Access

16 Key Principles INTEGRATION OF LAND-USE AND TRANSPORTATION Creating places that reduce automobile uses by providing Good Destination accessibility Short Distance to transit Pedestrian & Cycling –friendly Design Diversity of land-uses Density for jobs & residents Demand management $

17  Travel Behaviour is changing Ward 23 & 24 Combined  And Changing in better directions Mobility Share: Existing/Expected Trend

18 Mobility Trend Mobility Change Area/ Secondary Plan Concept of Mobility Change with TDM

19 Demand Management Policy Highlights Reduce Demand  Car Sharing, Carpooling Smart Commute Program Cyclist Facilities Parking Supply Management Business Improvement Area Mandatory Travel Demand Study

20 Structural Problem TDM Programs Strength Weakness Opportunity Threat (SWOT) Strength Weakness Opportunity Threat (SWOT) TDM Best Practices TDM Best Practices Guidelines/TDM Resources TDM Plan + Implementation TDM Delivery + Sustainable Framework TDM Performance Measurements TDM Monitoring

21 Person Trips

22 The waste of limited urban space For short trip (<10km): 5km each way Vehicle X90 Vehicle X90 = Source: Comparing travel space needs per person, Infographic created by Matthew Blackett, Spacing.ca Efficiency of Transport Modes

23 Demand & Supply Management Conceptual Framework

24 Moderation of Activities F Reduction of Movement Reduction of Vehicle Traffic Deconcentration of Traffic Efficient Use of Vehicles Change of Time Change of Route/ Destination Modal Change Flexible Work Schedule No-car Day Staggered Work Time Time Restriction of Truck Movement HOV Promotion Joint Distribution System Compressed Work Week Teleworking Land-use Policy Walking & Cycling Facilities Access to Transit P&R, K&R Facilities Priority Non- Auto Zone Destination of Truck Route Parking Management Carpool TMA Employee TDM TIA Road Pricing ICT Deployment of Logistics Outcome Car-Share Ride-Share

25 Pattern of Traffic Volumes A: Steeles B: Finch C: Church  Congestion exists on short-duration during the peak periods TDM Targets A B C

26 A: Steeles B: Finch C: Church TDM Targets A B C Reducing 10% of peak period trips if sufficient to manage congestion

27 Comprehensive Bicycle Parking Planning Bicycle Parking Model Parking Demand Parking Demand Municipal Bylaw Comparison Parking Supply Parking Supply Comparison of International Bylaw Bicycle Ownership (Area Survey) Bicycle Demand, Distance & Mode Split(TTS ) Site Generated Trips Background Area Demand Local Feeder Model: Nearby development/ populations System Feeder Model: Bicycle Network Point Location Model: Nearby development/ populations Socioeconomic & Land-use Characteristics Type Location Cost Type Location Cost Types of Bicycle Facility Requirements as per Land-use (Smart Code Module)

28 Comprehensive Bicycle Parking Planning Bicycle Parking Supply (Rates)

29 Comprehensive Bicycle Parking Planning Bicycle Parking Supply Short- term Short- term Storage Location Preference (Area Survey) Long- term Long- term 3,055 1,125 On-street Off-street Bike-ring Bike Corral Horizontal Vertical Transit Secured: Bike Lockers Horizontal Vertical 610 1, Shelter Building Edge Underground Building Corners Type of Bicycle parking by Distance and Time (Danish Cyclists Federation) On-board At Station Area Bikes-on-buses Bikes-on-train Park-n-Ride Bike Station 450 Showers Water Closets Wash Basins

30 Area Car Share Planning Car- share Land-use Planning Scenario 1: Original Development without CarsharingScenario 2: Increased Density Scenario 3: Increase Open Space

31 Area Car Share Planning Car- Share Demand X=% % Potential Car-share Market

32 Area Car Share Planning Car- share Model Potential Car-share Market X= Housing Unit People per Unit Number of Potential Car –share User % Walking Distance~400 Station Size Car-share Operators Input Fleet Size (Total # car share vehicle) =42

33 Shared Parking Model Shared Parking Management

34 TDM Benefits of Parking Reduction

35 Integrated Mobility Struggle of New Service Provider Integrating All Modes Under One Umbrella Service Provider TDM Delivery: Challenges & Possibilities PossibilitiesLimitations Expanded TMA Missing Local Stakeholders Cross-border Coordination, Coverage for All Major Land-Uses New TMA Missing Local Stakeholders Limited Market/ Land-Uses Coordination Issues, Limited Services, Cover only Large Employers Perfect Delivery Entity Existing Expanded TMA+ No Model to Work with BIA, Community Organization and Condo Associations Coverage for All Major Land-Uses Local Stakeholders

36 Standard Performance Measures Inputs Outputs Outcomes Outreach Marketing Awareness & satisfaction Alternate Mode Use Emissions Reduced Costs Saved Travel Impacts Track SOV trips reduced Track # of meetings with employers Track # of new organizations recruited Track amount of literature distributed Track # of ads/radio spots placed Track # of Facebook/Google ad words Track # telecommmuters Track # of Guaranteed Ride Home Track # carpool/ vanpools Track # of P&R lots Track # of new commuters switching modes Track # of commuters who recall marketing campaigns Track # of surveys administered Gauge satisfaction with services received Track VMT reduced Track % of VMT reduced Track % of all trips taken by carpool/vanpool Track emissions reduced Track greenhouse gas emission reduction Track commuter costs saved

37 Summary of TDM Measures Key Measures VMT reduced SOV Trips reduced Supporting Measures Emissions reduced Fuel saved Cost per VMT reduced Cost per vehicle reduced Source of Public Accountability & Confidence

38 Thank you and Questions Dewan Masud Karim, P. Eng., PTOE Transportation Planning Engineer City of Toronto 5100 Yonge Street Tel:


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