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Best Practices for Technical Delivery of Transportation Planning Studies: Project Overview and Findings David Kriger, iTRANS Consulting Inc. Urban Transportation.

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Presentation on theme: "Best Practices for Technical Delivery of Transportation Planning Studies: Project Overview and Findings David Kriger, iTRANS Consulting Inc. Urban Transportation."— Presentation transcript:

1 Best Practices for Technical Delivery of Transportation Planning Studies: Project Overview and Findings David Kriger, iTRANS Consulting Inc. Urban Transportation Council TAC Spring Technical Meetings 6 April 2008

2 Outline of Presentation
Introduction Study process Findings (profile) Best Practices Development of Guidelines Next steps

3 Acknowledgements TAC – TP&R SC
Katarina Cvetkovic (Project Manager) - TAC Project Steering Committee (PSC): David Durant (Chair) – Region of Waterloo, ON Jaime Boan – City of Surrey, BC James Der – AIT Tom Eichenbaum / Kerry Davren – City of Burlington, ON Wayne Gienow / Miranda Carlberg – Sask MHI Murray McLeod / Brian Lakeman – Region of Peel, ON Carol Hébert / Paul-André Roy – Ville de Gatineau, QC Pierre Tremblay - MTQ Dr. J. Allen Stewart (advisor) – Royal Military College Study financial sponsors: PSC + Infrastructure Canada’s Knowledge-building, Outreach and Awareness program

4 Introduction

5 Introduction Object is to provide a ‘best practices’ guide for technical aspects of transportation planning: Identify planning needs (current + emerging) Identify analytical methods (tools / models) Evaluate tools (model software) Identify supporting data Prepare database (‘pull-out’ guide)

6 Small / Medium Communities
Focus on transportation planning needs for small- and medium-sized communities: Stand-alone municipalities Municipalities within larger regions Population 10, ,000 Many different organizations have responsibility Findings are also applicable to planning for larger communities

7 Technical Aspects Best practices: Models:
Applied innovation Practices proven successful Models: Forecast traffic, ridership, freight flows, … Can be ‘one-line’ analysis Data: used to calibrate and validate models, or as input to model forecasts Outputs used as basis for needs identification, revenues, GHG, …

8 Long-range Transportation Plan
Identifies needs for multi-modal transportation infrastructure or services Horizon can be 10+ years Identifies priorities and costs 11 types identified: Some types mandated; others as needed Names, context vary by Province / Territory Emerging needs also considered: Sustainable transportation New funding programs (e.g., transit)

9 Types of LRTPs Transportation master plans or strategies
Sub-area or neighbourhood transportation plans Corridor planning studies Transportation capital programmes / budgets Development Charge studies Transit service or operational plans Policy or research / background studies (e.g. funding) Travel demand management studies Air quality / congestion management studies Freight plans / strategies Environmental assessment / functional plans

10 Study Process

11 Study Process Several components to study:
Literature review Online survey of practitioners Review of current / emerging issues and best practices Contact with TRB ADA30 (US) Model software evaluation Development of pull-out Best Practices Guide

12 Online Survey E/F survey sent to 400+ agencies
Total of 53 complete responses (+6 partial responses): 7 Provincial / Territorial MoTs 8 regional municipalities 4 municipalities > 250,000 population 10 municipalities 100,000 – 250,000 pop 9 municipalities 50,000 – 100,000 pop 12 municipalities < 50,000 pop 3 transit operators Represents 10 provinces and territories

13 Findings (profile)

14 Pervasive Lack of Resources

15 Most – but not all – use Model/Analysis
65% used travel demand models: Use oriented towards larger organizations Some smaller communities had access to models of others 18% used trend analysis Computer-based tools available Data may be a constraint to use Organization type, size influence: Who owns forecasting model Who uses model regularly

16 Transportation Analytical Methods
Challenges include: Lack of funding Lack of expertise Lack of resources Communities need: Regular traffic count programs Modelling at more detail at local level New software or upgrades Training

17 Transportation Data Basics are covered (road inventory, counts, population) but coverage of anything beyond varies Challenges and opportunities: Ability to integrate GPS, GIS and other technology Privacy / confidentiality issues Managing data volume and usefulness Increased efficiency in data sharing and purchasing

18 Interface with Other Applications
Applications of planning data: Use data as often / in as many ways as possible Partnerships and financing Addition of transportation planning data to performance measurement toolbox Use in land use planning; economic analyses (e.g., development charge studies); energy, sustainability and environmental analyses Transportation planning partnerships: Academic and research organizations Regional and provincial bodies Other municipalities – both locally and nationally Outside agencies (e.g., health) and consultants

19 Preparedness for the Future
Emerging / growing issues (sustainability, environment, increased interest in transit…) Key challenges / factors for success: Staff resources Good data Data sharing and cooperation Appropriate tools and data Funding Political and community support Overall transportation planning strategy with regular updates and regular, complete data collection

20 Best Practices

21 1. Modelling Approach Ensure analytical capability matches needs:
Ability to model peak hours and (as required) transit are important Implies use of four-step modelling approach Could use 24-hour model and simple factors (peak, transit), but complex problems or changing situation require appropriate analytical capability for response Activity-based modelling and other new developments have potential, but we’re not there yet Trend analysis can be used in slow-growing, stable communities

22 1. Modelling Approach External, through and bypass demand important for smaller communities: Models focus on ‘urban’ travel – need add-on Simulate as function of economic growth, percentage of through trips from counts Truck models also can be important (add-on) GIS are widely used  available platform: Many data are stored on GIS Models are still standalone tools and most are not well integrated

23 2. Data Collection US National Household Travel Survey, Journey to Work and Commodity Flow Surveys provide national coverage for passenger and goods Stated preference surveys quantify how travellers / shippers would behave in a new situation (tolls, RT; but also TDM) Complement OD (revealed preference) surveys, for which a basic need still exists Use of electronic technologies is growing and offers significant opportunities at low unit cost: GPS, roadside detectors, … GoogleEarth, etc.

24 3. Transferability of Data and Rates
Focus on ‘basic’ data; budgetary constraints are common to US communities as well Research addresses methods to share data: Develop statistically-reliable methods for importing rates from other communities Use NHTS to estimate travel behaviour by household for small- / medium-sized communities Could Census Place of Residence / Place of Work by Mode serve as a base for Canada? (with some additions)

25 4. Simplified Approach (1)
TMIP and TTI (1999) developed a series of guides for small- / medium-sized communities: Addressed financial planning, land use planning, freight planning, forecasting (determined by funding requirements) Maximized use of existing resources (data, local experts, borrowed information, …) Provided options – e.g., with model or without model Explained terms for multiple audiences Can draw from this and other US guides, but legal / funding contexts are not always applicable or do not exist in Canada

26 5. Simplified Approach (2)
NCHRP Guidebook for Freight Policy, Planning and Programming in Small- and Medium-Sized Metropolitan Areas (2007) Regional freight profile (infrastructure, generators, demand) Freight needs and deficiencies (congestion, accident locations, geometric constraints, …) Long range plan for freight (integrate into overall long range transportation plan) General model: focus on specifics; be practical Can be quantitative or qualitative Designed to optimize existing resources; can collect more data

27 6. Evaluation Indicators / evaluation measures should:
Provide clear direction or purpose Be based on a simple set of metrics Provide routine, readable reports Need to consider: Accessibility / mobility Economic development Environmental and resource conservation / sustainability principles Safety

28 6. Performance Indicators and Evaluation Measures
Accessibility/Mobility Bicycle Facilities, HOV lanes, Average Travel Time, Average Trip Length, Overall mode split, Total Travel Time, Delay per VKT, Lost time due to congestion Reliability LOS (Intersection, movement), v/c ratio, Travel Speed Economic Development Economic cost of accidents, User Cost Distance Safety Number of accidents per year, Number of accidents per capita, Number of accidents per VKT, Average response time for emergency services Social and Environmental Sustainability Sidewalk coverage, Overall mode split, Fuel usage, GHG or Air Contaminant Emissions, Traffic noise exposure, Relative growth in traffic volumes

29 Guidelines

30 Best Practices Guide Intended to be guide for small- and medium-sized municipalities Three steps: Organize 11 study types: cannot categorize models and data unless the different types of plans are organized Identify triggers  identifies LRTP type Given an application (LRTP type), what tools, methods and data are needed?

31 Transportation Planning Studies

32 Transportation Planning Studies
Can follow “top down” or “bottom up” approach May be motivated by specific problem or challenge – “Triggers” Sample Trigger:

33 Guidelines for the Selection of Analytical Tools
Guidelines to select tools type based on: Size of population Transportation plan types Approach to analytical tool Urban context (stand-alone or as part of larger region) Approach

34 Guidelines for Addressing Data Needs for Analysis
Data sources and type of data required identified based on: Size of population Urban context Transportation plan types Approach

35 Next Steps

36 Next Steps Finalize report, guidelines
Report will be published on TAC website TAC presentations: Fall 2008 Opportunities for: TAC fall 2008 workshop Cross-Canada training / dissemination

37 For more information: Thank you!
David Durant, Region of Waterloo (Steering Committee chair) – David Kriger, iTRANS (consultant) - Thank you!


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