1. SHRP2 C20: Freight Demand Modeling and Data Improvement Strategic Plan
Implementation Plan
Vidya Mysore

2. SHRP2 C20 Implementation : Purpose
Freight data & analytical tools and its necessity
Decision-makers recognize that transportation investments are being informed by an understanding of the implications, benefits, and trade-offs relative to freight.
Today - “ECONOMY drove Freight transportation need”
Vision for tomorrow –
“Freight transportation drives the ECONOMY”
Freight transportation planning tools that drives the local and national economy.

3. Freight Demand Modeling and Data Improvement
Implementation Plan:
Implementation Assistance Program
National Initiatives

4. Freight Demand Modeling and Data Improvement
Implementation Assistance Program Purpose:
To foster fresh ideas and new approaches to freight demand modeling and data collection that ultimately enhance decision-making.

5. Implementation Assistance
Proof of Concept Pilots - Funds for piloting products to evaluate readiness for implementation
Innovations in Local Freight Data Pilot Assistance Program
Identify and adapt disparate sources of data
Refine of current data sources
Develop new data sources on smaller geographic scales
Behavior-Based Freight Modeling Pilot Assistance Program
Advance ‘tour-based’ and ‘supply chain’ freight modeling
Improve the understanding of decision-making by freight agents and their implications for network modeling
IAP it is near term activities – Immediate Focus
Modeling Priority Initiatives:
Develop a range of freight forecasting methods and tools that address decision - making needs and that can be applied at all levels (national, regional, state, metropolitan planning organization, municipal).
Establish modeling approaches for behavior-based freight movement.
Establish techniques and standard practices to review and evaluate freight forecasts.  
Data Priority Initiatives:
Develop freight data resources for application at sub-regional levels.  
Establish, pool, and standardize a portfolio of core freight data sources and data sets that supports planning, programming, and project prioritization.
Determine how economic, demographic, and other factors and conditions drive freight patterns and characteristics. Document economic and demographic changes related to freight choices.

6. 11/7/2018 Recipient Incentive Type Behavior-based Freight Modeling
Proof of Concept
Maricopa Association of Governments
Pilot
Maryland State Highway Administration
Metro (Portland) Metropolitan Planning Organization
Wisconsin Department of Transportation
Innovative Local Freight Data
Delaware Valley Regional Planning Commission
Florida Department of Transportation
Mid-America Regional Council
South Dakota Department of Transportation
Washington State Department of Transportation
Capital District Transportation Committee
City of Winston-Salem (MPO)
11/7/2018

7. Implementation Program: Information
To learn more about SHRP2 C20 Recipients and their project objectives, please visit at Go SHRP2 website and click - Implementation Assistance, Round 3, C20 and recipients!
11/7/2018

8. Freight Demand Modeling and Data Improvement
National Initiatives:
By 2020, a vision for improved freight modeling and data will be characterized as follows:
Robust freight forecasting tools have been developed and are the standard for public sector freight transportation planning.
These tools and data are dynamic in terms of linking with other key variables such as development and land use, and are dynamic in terms of application to local scale, corridors, or regions.
The knowledge and skills of DOT and MPO staff have been methodically enhanced to complement the development of better tools and data.
In addition, tools to support freight transportation systems management - operational, safety, security, maintenance,…
Data Infrastructure –
Comprehensive (complete) connected multi-modal freight transportation network & hubs
Freight related landuse data – Freight villages, Warehouses, Distribution centers, Intermodal centers

9. C20 National Implementation Activities
Freight Modeling and Data Expert Task Group
Freight Data Collaboration and Standardization Workshops
Freight, Economic, Land Use and Demographic Data Collaborative
FMIP Portal
Collaboration, Knowledge Sharing and Outreach
Practitioner Handbook
Project Case Studies
Briefings
Peer Exchanges
Cross-agency trainings
Conferences and presentations
Executive training
Champion outreach
The implementation Plan for Freight Demand Modeling and data is not limited to the implementation assistance we have discussed so far. FHWA and AASHTO are working together on numerous additional implementation activities and resources that could be useful during the projects and into the future.
1. Freight Modeling and Data Expert Task Group – In this effort, AASHTO convenes a long term group of public and private sector freight modeling and data experts to guide the long term implementation of the strategic plan. This group will insure that: a. the overall strategic plan is being addressed not just with the IAP funding but other funding as well, b. ensure that the results of the pilots are feeding the larger strategic plan, and c. see this research through to the end.
2. Freight Data Collaboration and Standardization Workshops - In this effort, AASHTO convenes a series of regional technical forums with private and public sector users and data suppliers to develop and implement more consistent and efficient approaches to --s local freight data and to identify options for pooled resources for data collection and analysis. The recent NCFRP report on “Developing a Freight Transportation Data Architecture” will provide guidance for standardization of data. The anticipated outcome is a sustainable framework that will result in greater efficiency and cost-effectiveness for planning, analysis and programming, and will provide the opportunity to overcome some of the perceived barriers related to freight data availability.
3. Freight, Economic, Land Use and Demographic Data Collaborative – In this effort, FHWA and AASHTO will develop relationships with national organizations in real estate and logistics to establish a long-term partnership among State DOTs, MPOs and those two industry sectors. The aim is to foster a joint understanding of the investment and decision- making cycles for different elements of the freight transportation industry, including shippers, carriers, commercial developers, as well as land use and freight facilities managers. In the long-term, this partnership would provide an important foundation for further advances in behavior-based freight modeling.
4. IAP Project Case Studies, Evaluations and Summary Assessments – FHWA, using contractor support, will develop case studies and undertake evaluations of each of the modeling and data pilots. This will include a discussion of lessons learned, applicability and strengths and weaknesses of each.
5. Supply Chain Data and Behavioral Modeling Synthesis -

10. Points of Contact FHWA Headquarters FHWA Resource Center Ed Strocko
Office of Freight Management and Operations
Spencer Stevens
Office of Planning Oversight & Stewardship
FHWA Resource Center
Vidya Mysore
Planning & Freight Technical Services Team
Lisa Randall

11. Questions?
That concludes my presentation. Now would like to answer any questions you may have. Please feel free to go ahead and ask away.