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OCTOBER 23, 2018
SMART TRANSPORTATION FOR INTELLIGENT CITIES
Director, Research & Planning Analytics, Metrolinx
Joshua Engel-Yan
Telling the Story:
Transforming Data & Evidence into a Compelling Narrative to
Support Decision Making at Metrolinx
2
Q: Who is the Most Famous
Transportation Planner of All Time?
33INSERT FOOTER
EXAMPLE: COMMUTER FLOWS BETWEEN CITIES
4
Can you find the pattern in this data?
DATA SOURCE: STATISTICS CANADA
TRANSFORMING DATA INTO MAPS
5DATA SOURCE: STATISTICS CANADA, PRODUCED WITH KEPLER.GL
TRANSFORMING DATA INTO ART?
6DATA SOURCE: STATISTICS CANADA, PRODUCED WITH CIRCOS
TRANSFORMING DATA INTO VIDEOS
7
TRANSFORMING DATA INTO KNOWLEDGE
8
WHAT MAKES A GOOD STORY?
9
 Something to blow up!
 Conflict, tension, two opposing
forces
 Honesty and grace, authenticity
 Impact to entertain and inspire
 Vulnerability, being open to
experience
 Emotion, human experience
 The audience is part of the story
 Seed an idea, start with an image
IMAGE SOURCE: HTTPS://WWW.PM360ONLINE.COM/EMOTIONAL-VERSUS-LOGICAL-APPEAL-WHICH-WORKS-BEST-FOR-MARKETERS/
10
Hi,
Im Josh from Metrolinx.
Today I would like to tell you a story
11SMART TRANSPORTATION FOR INTELLIGENT CITIES
PROLOGUE
Introduction to Research
& Planning Analytics
INTRODUCTION TO METROLINX
12
 We plan and deliver transportation
network in the Greater Toronto &
Hamilton Area
 Operate GO Transit, Presto & UP
Express
 Plan complete transport system
including TDM, New Mobility, Cycling
Network etc.
 Measure impacts of decisions using
Business cases
SMART TRANSPORTATION FOR INTELLIGENT CITIES
RESEARCH & PLANNING ANALYTICS
Purpose:
 To strengthen Metrolinxs culture and capacity for evidence-based transportation
planning and investment decision-making that delivers benefits to the region.
13SMART TRANSPORTATION FOR INTELLIGENT CITIES
WHO WE ARE & WHAT WE DO
14SMART TRANSPORTATION FOR INTELLIGENT CITIES
WORLD PREMIERE
1616
Start with the question
Data is not the goal.
As a ______ (job title)
I need ____ (data analytics solution)
So I can____ (solve a problem)
WHAT IS A STORY? THE HEROS JOURNEY
17SMART TRANSPORTATION FOR INTELLIGENT CITIES
START
CALL TO
ACTION
OVERCOME
OBSTACLES
MIDPOINT
CLIMAX
Establish
Routine
Everything
Changes
Tension
Rises
Tension
Rises
Everything
Changes
D辿noument
Frodo
Image: http://vsbattles.wikia.com/wiki/Frodo_Baggins
THE STORY ARC  TRANSPORTATION PLANNING
18SMART TRANSPORTATION FOR INTELLIGENT CITIES 18
START
THE QUEST
FOR THE RTP
A VISION OF
THE FUTURE
THE FINAL BATTLE:
IMPLEMENTATION
Congestion is intolerable &
Population is growing
Call to Action
Data Scientist
Image: https://www.lifespanfitness.com/
Visualization
Analytics
Exploration
19
TODAYS STORY
Prologue Introduction to Research & Planning Analytics
Act 1 The Quest for an RTP
Discovering Mobility Patterns & Trends
Act 2 A Vision of The Future
Measuring the Benefits of the 2041 RTP
Act 3 The Final Battle: Implementation
Business Cases & Making it Happen
20
Hi,
Im Josh from Metrolinx.
Today I would like to tell you a story
21
About how we used
data, analytics & story telling
to help create the 2041 Regional Transportation Plan
22
How do create a transportation system that
is safe, convenient, reliable and sustainable for
a region that is rapidly growing & changing?
23SMART TRANSPORTATION FOR INTELLIGENT CITIES
It all began, a short time ago,
In Union Station not so far away
Telling the Story: Transforming Data & Evidence into a Compelling Narrative to Support Decision Making at Metrolinx
2525SMART TRANSPORTATION FOR INTELLIGENT CITIES
ACT ONE:
The Quest for the 2041 Regional
Transportation Plan
Discovering Mobility Patterns & Trends
THE REGIONS TRANSPORTATION CHALLENGES
26
110,000 new residents every year
1 in every 4 trips crosses a regional boundary
79% of trips made by car
3.46 million cars owned in the GTHA
REGIONAL DEMOGRAPHIC CHANGES
27
$
$$$
Populatio
n
Employment Seniors Diversity Unaffordabilit
y
SMART TRANSPORTATION FOR INTELLIGENT CITIES
THE REGION IS GROWING
28
 The regional
study area is
defined
geographically
as the GTHA
and temporally
as 2041
SMART TRANSPORTATION FOR INTELLIGENT CITIES
THE REGION IS GROWING
29
 We can break
Growth Plan data
down into cities to
illustrate that rate of
growth is much
higher outside
Toronto
SMART TRANSPORTATION FOR INTELLIGENT CITIES
THERE IS RAPID GROWTH IN DOWNTOWN AND THE 905
30
 Strong residential growth
in 905 centres and outer
edge of build up areas
 Employment growth in
Toronto has significantly
outpaced Growth Plan
projections, projected to
meet target by 2025
 GO Expansion provides
faster travel between
suburbs and Downtown
SMART TRANSPORTATION FOR INTELLIGENT CITIES
A DIVERSE COMMUNITY WITH MANY UNIQUE NEEDS
31
 This map shows Census
data on the Top Five
Mother Tongue
languages in the Region
 Engagement requires
understanding different
ethnicities and unique
needs
SMART TRANSPORTATION FOR INTELLIGENT CITIES
INCOME INEQUALITY IS INCREASING
32
 This map shows Census
data on the fraction of
people with low income
by area
 Transit investments can
reduce the cost of living
and increase access to
employment
opportunities
SMART TRANSPORTATION FOR INTELLIGENT CITIES
THE POPULATION IS GETTING OLDER
33
 This map shows the fraction of people who are over age 65
 As the population ages, aging in place will require new mobility options including transit,
autonomous vehicles and mixed use communities
SMART TRANSPORTATION FOR INTELLIGENT CITIES
TRIPS ARE COMPLICATED
35
 This map shows
Transportation
Tomorrow Data
 As the population ages,
aging in place will
require new mobility
options including transit,
autonomous vehicles
and mixed use
communities
SMART TRANSPORTATION FOR INTELLIGENT CITIES
MOBILE PHONE DATA FROM SIDEWALK LABS & STREETLIGHT
36
 Replica is a new
planning tool from
Sidewalk Labs, provides
travel patters from
mobile phone data
 Could be used to
understand where
transit customers travel
and enhance existing
survey data
SOURCE: HTTPS://REPLICA.SIDEWALKLABS.COM/
SEGMENTATION OF CUSTOMERS BASED ON DATA FROM REPLICA
37
 Data from Replica can
also be used to isolate
trips by purpose, age,
start time and
household income
 These criteria can be
used as filters to
isolate specific patters
such as weekday vs
weekend trips
NOTE: REPLICA DATA ARE FOR ILLUSTRATION ONLY
BETTER PLANNING WITH ANONYMIZED PRESTO TTC-GO TRANSFER LOCATIONS
38
 Locations of population
and employment have
significant impacts on
travel patterns
CUSTOMER SEGMENTATION: REGIONAL TRAVELLER PERSONAS
39SMART TRANSPORTATION FOR INTELLIGENT CITIES
More likely to:
SUMMARY OF REGIONAL CHALLENGES
40
1. Align transportation and land use planning
2. Focus on moving people, not just vehicles
3. Improve the traveller experience
4. Respond to emerging future mobility options
5. Integrate fares and services across the region
6. Coordinate decision-making
7. Provide sustainable and long-term funding
SMART TRANSPORTATION FOR INTELLIGENT CITIES
4141SMART TRANSPORTATION FOR INTELLIGENT CITIES
ACT TWO:
A Vision of the Future
Measuring the Benefits of the 2041 RTP
42
THE PLAN & FIVE CORE STRATEGIES
Strategy 1:
Complete
Delivery of
Current
Regional
Transit
Projects
Strategy 2:
Connect more
of the Region
with Frequent
Rapid Transit
Strategy 3:
Optimize the
Transportation
System
Strategy 4:
Integrate
Land Use and
Transportation
Strategy 5:
Prepare for an
Uncertain
Future
38 Priority Actions to Support the 5 Strategies*
FREQUENT RAPID TRANSIT NETWORK
43
44
THE FRTN  A MULTI-LAYERED RAPID TRANSIT NETWORK
 Integrated network
 Fast, reliable service
 Frequent (every10-15 minutes all-day)
 Customer focus
2041 RTP KPI DASHBOARD
45
Key Performance Measures:
 Length of Infrastructure
 Transit Travel Time
 Total Trips & Mode Share
 People in Walking Distance
to Transit
 Congested Travel (VKT)
 GHGs per capita from auto
driver trips
46
EXPANDED TRANSIT, CYCLING AND HOV INFRASTRUCTURE
47
SHORTER TRAVEL TIME
Telling the Story: Transforming Data & Evidence into a Compelling Narrative to Support Decision Making at Metrolinx
Telling the Story: Transforming Data & Evidence into a Compelling Narrative to Support Decision Making at Metrolinx
INCREASE IN TRANSIT TRIPS
50
51
52
GREATER ACCESS TO FREQUENT RAPID TRANSIT  INCREASING EQUITY
BENEFITS OF THE 2041 RTP
53
DATA STRATEGY & 2041 RTP
54
 Use big data to optimize infrastructure and improve services
 Action 5.6: Develop a regional transportation big data strategy
 Create a regional transportation big data portal, providing consistent and transparent
data collection, management and reporting.
 Establish regional standards for transportation data sourcing, formatting, privacy,
security, ownership and reporting.
 Identify and acquire new transportation data on all modes of transportation for
planning and operations (e.g., crowd-sourced traffic data).
 Advance coordination and standardization of transportation forecasting, modelling
and business case methodologies to support decision-making and evaluation.
INSERT FOOTER
5555INSERT FOOTER
ACT THREE
The Final Battle: Implementation
Business Cases & Making It Happen
56
THE FRTN  A MULTI-LAYERED RAPID TRANSIT NETWORK
 Integrated network
 Fast, reliable service
 Frequent (every10-15 minutes all-day)
 Customer focus
Developing this diverse network in a cost effective way requires a robust
methodology to maximize value for money through ridership growth and
customer benefits  business cases
BUSINESS CASES AT METROLINX
57
 Business Cases ensure investments are
consistent with our goals and strategic
objectives
 Provide the appropriate level of evidence for
decisions throughout the projects lifecycle
 Create clear accountability and defined roles and
responsibilities for decisions
 Create a feedback loop from project initiation to
post in-service evaluation to support continuous
improvement
WORLD PREMIERE
59INSERT FOOTER
COMPONENTS OF A METROLINX BUSINESS CASE
FINANCIAL
CASE
STRATEGIC
CASE
ECONOMIC
CASE
DELIVERABILITY &
OPERATIONS CASE
 Determines the strategic
value of addressing a
problem
 Options are evaluated against
strategic objectives
 Establishes why a project
should be pursued
 Assesses economic costs
and benefits to individuals
and society
 Establishes what the benefit
to society is in economic
terms
 Assesses affordability and
financial value for money
 Focuses on capital and
resource requirements for the
corporation
 Establishes how much the
project will cost in financial
terms
 Provides evidence on
engineering viability
 May consider procurement
strategies, and deliverability
and operating risks
 Establishes what is required
to deliver and operate the
project
60
EVIDENCE IS REFINED THROUGH THE PROJECT LIFECYCLE
61
62
EPILOGUE
Whats Next?
PARTING THOUGHTS
63
 There is always a story in the data/analysis.
 What does it mean?
 Whats the story?
 How can I tell that story in a compelling way to inspire action?
INSERT FOOTER
64
Research & Planning Analytics, Planning & Development, Metrolinx
Joshua.Engel-Yan@Metrolinx.com
Thank You

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Telling the Story: Transforming Data & Evidence into a Compelling Narrative to Support Decision Making at Metrolinx

  • 1. OCTOBER 23, 2018 SMART TRANSPORTATION FOR INTELLIGENT CITIES Director, Research & Planning Analytics, Metrolinx Joshua Engel-Yan Telling the Story: Transforming Data & Evidence into a Compelling Narrative to Support Decision Making at Metrolinx
  • 2. 2 Q: Who is the Most Famous Transportation Planner of All Time?
  • 4. EXAMPLE: COMMUTER FLOWS BETWEEN CITIES 4 Can you find the pattern in this data? DATA SOURCE: STATISTICS CANADA
  • 5. TRANSFORMING DATA INTO MAPS 5DATA SOURCE: STATISTICS CANADA, PRODUCED WITH KEPLER.GL
  • 6. TRANSFORMING DATA INTO ART? 6DATA SOURCE: STATISTICS CANADA, PRODUCED WITH CIRCOS
  • 9. WHAT MAKES A GOOD STORY? 9 Something to blow up! Conflict, tension, two opposing forces Honesty and grace, authenticity Impact to entertain and inspire Vulnerability, being open to experience Emotion, human experience The audience is part of the story Seed an idea, start with an image IMAGE SOURCE: HTTPS://WWW.PM360ONLINE.COM/EMOTIONAL-VERSUS-LOGICAL-APPEAL-WHICH-WORKS-BEST-FOR-MARKETERS/
  • 10. 10 Hi, Im Josh from Metrolinx. Today I would like to tell you a story
  • 11. 11SMART TRANSPORTATION FOR INTELLIGENT CITIES PROLOGUE Introduction to Research & Planning Analytics
  • 12. INTRODUCTION TO METROLINX 12 We plan and deliver transportation network in the Greater Toronto & Hamilton Area Operate GO Transit, Presto & UP Express Plan complete transport system including TDM, New Mobility, Cycling Network etc. Measure impacts of decisions using Business cases SMART TRANSPORTATION FOR INTELLIGENT CITIES
  • 13. RESEARCH & PLANNING ANALYTICS Purpose: To strengthen Metrolinxs culture and capacity for evidence-based transportation planning and investment decision-making that delivers benefits to the region. 13SMART TRANSPORTATION FOR INTELLIGENT CITIES
  • 14. WHO WE ARE & WHAT WE DO 14SMART TRANSPORTATION FOR INTELLIGENT CITIES
  • 16. 1616 Start with the question Data is not the goal. As a ______ (job title) I need ____ (data analytics solution) So I can____ (solve a problem)
  • 17. WHAT IS A STORY? THE HEROS JOURNEY 17SMART TRANSPORTATION FOR INTELLIGENT CITIES START CALL TO ACTION OVERCOME OBSTACLES MIDPOINT CLIMAX Establish Routine Everything Changes Tension Rises Tension Rises Everything Changes D辿noument Frodo Image: http://vsbattles.wikia.com/wiki/Frodo_Baggins
  • 18. THE STORY ARC TRANSPORTATION PLANNING 18SMART TRANSPORTATION FOR INTELLIGENT CITIES 18 START THE QUEST FOR THE RTP A VISION OF THE FUTURE THE FINAL BATTLE: IMPLEMENTATION Congestion is intolerable & Population is growing Call to Action Data Scientist Image: https://www.lifespanfitness.com/ Visualization Analytics Exploration
  • 19. 19 TODAYS STORY Prologue Introduction to Research & Planning Analytics Act 1 The Quest for an RTP Discovering Mobility Patterns & Trends Act 2 A Vision of The Future Measuring the Benefits of the 2041 RTP Act 3 The Final Battle: Implementation Business Cases & Making it Happen
  • 20. 20 Hi, Im Josh from Metrolinx. Today I would like to tell you a story
  • 21. 21 About how we used data, analytics & story telling to help create the 2041 Regional Transportation Plan
  • 22. 22 How do create a transportation system that is safe, convenient, reliable and sustainable for a region that is rapidly growing & changing?
  • 23. 23SMART TRANSPORTATION FOR INTELLIGENT CITIES It all began, a short time ago, In Union Station not so far away
  • 25. 2525SMART TRANSPORTATION FOR INTELLIGENT CITIES ACT ONE: The Quest for the 2041 Regional Transportation Plan Discovering Mobility Patterns & Trends
  • 26. THE REGIONS TRANSPORTATION CHALLENGES 26 110,000 new residents every year 1 in every 4 trips crosses a regional boundary 79% of trips made by car 3.46 million cars owned in the GTHA
  • 27. REGIONAL DEMOGRAPHIC CHANGES 27 $ $$$ Populatio n Employment Seniors Diversity Unaffordabilit y SMART TRANSPORTATION FOR INTELLIGENT CITIES
  • 28. THE REGION IS GROWING 28 The regional study area is defined geographically as the GTHA and temporally as 2041 SMART TRANSPORTATION FOR INTELLIGENT CITIES
  • 29. THE REGION IS GROWING 29 We can break Growth Plan data down into cities to illustrate that rate of growth is much higher outside Toronto SMART TRANSPORTATION FOR INTELLIGENT CITIES
  • 30. THERE IS RAPID GROWTH IN DOWNTOWN AND THE 905 30 Strong residential growth in 905 centres and outer edge of build up areas Employment growth in Toronto has significantly outpaced Growth Plan projections, projected to meet target by 2025 GO Expansion provides faster travel between suburbs and Downtown SMART TRANSPORTATION FOR INTELLIGENT CITIES
  • 31. A DIVERSE COMMUNITY WITH MANY UNIQUE NEEDS 31 This map shows Census data on the Top Five Mother Tongue languages in the Region Engagement requires understanding different ethnicities and unique needs SMART TRANSPORTATION FOR INTELLIGENT CITIES
  • 32. INCOME INEQUALITY IS INCREASING 32 This map shows Census data on the fraction of people with low income by area Transit investments can reduce the cost of living and increase access to employment opportunities SMART TRANSPORTATION FOR INTELLIGENT CITIES
  • 33. THE POPULATION IS GETTING OLDER 33 This map shows the fraction of people who are over age 65 As the population ages, aging in place will require new mobility options including transit, autonomous vehicles and mixed use communities SMART TRANSPORTATION FOR INTELLIGENT CITIES
  • 34. TRIPS ARE COMPLICATED 35 This map shows Transportation Tomorrow Data As the population ages, aging in place will require new mobility options including transit, autonomous vehicles and mixed use communities SMART TRANSPORTATION FOR INTELLIGENT CITIES
  • 35. MOBILE PHONE DATA FROM SIDEWALK LABS & STREETLIGHT 36 Replica is a new planning tool from Sidewalk Labs, provides travel patters from mobile phone data Could be used to understand where transit customers travel and enhance existing survey data SOURCE: HTTPS://REPLICA.SIDEWALKLABS.COM/
  • 36. SEGMENTATION OF CUSTOMERS BASED ON DATA FROM REPLICA 37 Data from Replica can also be used to isolate trips by purpose, age, start time and household income These criteria can be used as filters to isolate specific patters such as weekday vs weekend trips NOTE: REPLICA DATA ARE FOR ILLUSTRATION ONLY
  • 37. BETTER PLANNING WITH ANONYMIZED PRESTO TTC-GO TRANSFER LOCATIONS 38 Locations of population and employment have significant impacts on travel patterns
  • 38. CUSTOMER SEGMENTATION: REGIONAL TRAVELLER PERSONAS 39SMART TRANSPORTATION FOR INTELLIGENT CITIES More likely to:
  • 39. SUMMARY OF REGIONAL CHALLENGES 40 1. Align transportation and land use planning 2. Focus on moving people, not just vehicles 3. Improve the traveller experience 4. Respond to emerging future mobility options 5. Integrate fares and services across the region 6. Coordinate decision-making 7. Provide sustainable and long-term funding SMART TRANSPORTATION FOR INTELLIGENT CITIES
  • 40. 4141SMART TRANSPORTATION FOR INTELLIGENT CITIES ACT TWO: A Vision of the Future Measuring the Benefits of the 2041 RTP
  • 41. 42 THE PLAN & FIVE CORE STRATEGIES Strategy 1: Complete Delivery of Current Regional Transit Projects Strategy 2: Connect more of the Region with Frequent Rapid Transit Strategy 3: Optimize the Transportation System Strategy 4: Integrate Land Use and Transportation Strategy 5: Prepare for an Uncertain Future 38 Priority Actions to Support the 5 Strategies*
  • 43. 44 THE FRTN A MULTI-LAYERED RAPID TRANSIT NETWORK Integrated network Fast, reliable service Frequent (every10-15 minutes all-day) Customer focus
  • 44. 2041 RTP KPI DASHBOARD 45 Key Performance Measures: Length of Infrastructure Transit Travel Time Total Trips & Mode Share People in Walking Distance to Transit Congested Travel (VKT) GHGs per capita from auto driver trips
  • 45. 46 EXPANDED TRANSIT, CYCLING AND HOV INFRASTRUCTURE
  • 50. 51
  • 51. 52 GREATER ACCESS TO FREQUENT RAPID TRANSIT INCREASING EQUITY
  • 52. BENEFITS OF THE 2041 RTP 53
  • 53. DATA STRATEGY & 2041 RTP 54 Use big data to optimize infrastructure and improve services Action 5.6: Develop a regional transportation big data strategy Create a regional transportation big data portal, providing consistent and transparent data collection, management and reporting. Establish regional standards for transportation data sourcing, formatting, privacy, security, ownership and reporting. Identify and acquire new transportation data on all modes of transportation for planning and operations (e.g., crowd-sourced traffic data). Advance coordination and standardization of transportation forecasting, modelling and business case methodologies to support decision-making and evaluation. INSERT FOOTER
  • 54. 5555INSERT FOOTER ACT THREE The Final Battle: Implementation Business Cases & Making It Happen
  • 55. 56 THE FRTN A MULTI-LAYERED RAPID TRANSIT NETWORK Integrated network Fast, reliable service Frequent (every10-15 minutes all-day) Customer focus Developing this diverse network in a cost effective way requires a robust methodology to maximize value for money through ridership growth and customer benefits business cases
  • 56. BUSINESS CASES AT METROLINX 57 Business Cases ensure investments are consistent with our goals and strategic objectives Provide the appropriate level of evidence for decisions throughout the projects lifecycle Create clear accountability and defined roles and responsibilities for decisions Create a feedback loop from project initiation to post in-service evaluation to support continuous improvement
  • 59. COMPONENTS OF A METROLINX BUSINESS CASE FINANCIAL CASE STRATEGIC CASE ECONOMIC CASE DELIVERABILITY & OPERATIONS CASE Determines the strategic value of addressing a problem Options are evaluated against strategic objectives Establishes why a project should be pursued Assesses economic costs and benefits to individuals and society Establishes what the benefit to society is in economic terms Assesses affordability and financial value for money Focuses on capital and resource requirements for the corporation Establishes how much the project will cost in financial terms Provides evidence on engineering viability May consider procurement strategies, and deliverability and operating risks Establishes what is required to deliver and operate the project 60
  • 60. EVIDENCE IS REFINED THROUGH THE PROJECT LIFECYCLE 61
  • 62. PARTING THOUGHTS 63 There is always a story in the data/analysis. What does it mean? Whats the story? How can I tell that story in a compelling way to inspire action? INSERT FOOTER
  • 63. 64
  • 64. Research & Planning Analytics, Planning & Development, Metrolinx Joshua.Engel-Yan@Metrolinx.com Thank You

Editor's Notes

  • #11: Say hello, introduce yourself and say
  • #14: Planning transit projects requires robust and accessible evidence to develop and evaluate options A recent survey of the region found that making fact-based decisions is a top driver of trust in Metrolinx Public trust is built and maintained by the timely publication of relevant and reasonable evidence
  • #17: Say hello, introduce yourself and say what the question for the RTP was: how do we plan to improve mobility in a growing region?
  • #20: This presentation will follow a three act structure, like
  • #21: Say hello, introduce yourself and say
  • #22: Say hello, introduce yourself and say
  • #23: Say hello, introduce yourself and say what the question for the RTP was: how do we plan to improve mobility in a growing region?
  • #26: Act 1 The Quest for a Regional Transportation Plan Discovering Regional Mobility Patterns & Trends Act 2 A Vision of The Future Measuring the Benefits of the 2041 RTP Act 2 The Final Battle: Implementation Business Cases & Making it Happen
  • #27: Check stats**
  • #28: As we know, the GTHAs population is rapidly growing, and is expected to reach 10.1 million people compared to 7.2 million today. The majority of this growth is happening outside of Toronto, in the suburbs with less access to transit. In addition to a growing population, the region is seeing a growing senior population and increasing ethnic diversity. The cost of living in the GTHA is also increasing, all while income becomes more polarized. This changing socioeconomic landscape increases the need for an inclusive and equitable transportation system: to support the diverse backgrounds and needs of its riders and to maintain and increase ridership
  • #42: Act 1 The Quest for a Regional Transportation Plan Discovering Regional Mobility Patterns & Trends Act 2 A Vision of The Future Measuring the Benefits of the 2041 RTP Act 2 The Final Battle: Implementation Business Cases & Making it Happen
  • #45: The transit system of the future must rethink how services are delivered if transit is to serve a wide range of needs across the Region. The RTP introduces the concept of a FRTN to meet the regions long-term needs. The FRTN is a strategic approach to moving people efficiently by transit in a region with multiple population and employment concentrations. The vision for the FRTN is a network of Priority Bus, Frequent Regional Express Bus, Subway, BRT, LRT, and heavy rail corridors that function as a seamless system of frequent rapid transit. The layering of multiple modes in the network enables expansive coverage across the region. The FRTN incorporates a new concept called Priority bus - an approach to enhance and transform how rapid transit is delivered and operates in the GTHA, by leveraging intelligent transportation systems technologies with minimal infrastructure investment. The prioritization framework aims at looking at all these types of projects, and evaluating them to see where the investment most strengthens the FRTN, through ridership and customer value. This requires state-of-the-art analysis to forecast the impacts of these very different projects, which Mx is trying to embed in the business case methodology.
  • #55: Big Data and the RTP 2041 Use big data to optimize infrastructure and improve services page 92 Action 5.6: Develop a regional transportation big data strategy page 94 Develop a regional transportation big data strategy: Create a regional transportation big data portal, providing consistent and transparent data collection, management and reporting. Establish regional standards for transportation data sourcing, formatting, privacy, security, ownership and reporting. [NOTE: Or champion the use of new and relevant international standards] Identify and acquire new transportation data on all modes of transportation for planning and operations (e.g., crowd-sourced traffic data). Advance coordination and standardization of transportation forecasting, modelling and business case methodologies to support decision-making and evaluation. Big Data and the Making it Happen Paper page 30 Develop a coordinated regional data collection program and observatory, including approaches to real-time data, ridership, big data and goods movement data; Develop a more consistent approach to travel demand modelling across GTHA municipalities, provincial ministries, and academic institutions; Develop performance targets for 2041 RTP that inform the implementation process; and Building on existing practices, identify the ideal governance and funding sources for collecting, analyzing and sharing regional transportation data and insights. In addition Develop protocols to identify and collect key data that our equipment and services produce, and identify new sources of data based on the information we need. As we increase the number of contracts and partnerships, establish policies around data collection and sharing to ensure that we receive and can analyze and leverage data collected by our partners. For example, cities and agencies that have partnered with Uber have sometimes found it difficult to gain access to the data produced. All agreements with our providers and partners should include clauses around data to enable future access to these data sources. Develop the internal capacity to analyze data. Analytics experts are in high demand and may require a specific attraction and retention strategy. Continue to work with the province on Open Government with an emphasis on sharing data to better achieve our objectives.
  • #56: Act 1 The Quest for a Regional Transportation Plan Discovering Regional Mobility Patterns & Trends Act 2 A Vision of The Future Measuring the Benefits of the 2041 RTP Act 2 The Final Battle: Implementation Business Cases & Making it Happen
  • #57: The transit system of the future must rethink how services are delivered if transit is to serve a wide range of needs across the Region. The RTP introduces the concept of a FRTN to meet the regions long-term needs. The FRTN is a strategic approach to moving people efficiently by transit in a region with multiple population and employment concentrations. The vision for the FRTN is a network of Priority Bus, Frequent Regional Express Bus, Subway, BRT, LRT, and heavy rail corridors that function as a seamless system of frequent rapid transit. The layering of multiple modes in the network enables expansive coverage across the region. The FRTN incorporates a new concept called Priority bus - an approach to enhance and transform how rapid transit is delivered and operates in the GTHA, by leveraging intelligent transportation systems technologies with minimal infrastructure investment. The prioritization framework aims at looking at all these types of projects, and evaluating them to see where the investment most strengthens the FRTN, through ridership and customer value. This requires state-of-the-art analysis to forecast the impacts of these very different projects, which Mx is trying to embed in the business case methodology.
  • #61: Metrolinx has a clear framework for appraising, developing and planning projects that deliver the best possible value to the public Business Cases support collaboration and documentation among diverse cross-functional teams, and provide evidence for decision makers Comprehensive guidance and training materials are being developed to assist in the development of business cases A three day training session was delivered in September 2015, in collaboration with the Institute for Transport Studies at the University of Leeds
  • #63: Act 1 The Quest for a Regional Transportation Plan Discovering Regional Mobility Patterns & Trends Act 2 A Vision of The Future Measuring the Benefits of the 2041 RTP Act 2 The Final Battle: Implementation Business Cases & Making it Happen