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Exploring Freight Data and Modeling. Session: Data for Freight Analysis, Planning and Implementation Vidya Mysore [email protected] FHWA Resource Center July 30 , 2013. BREAKOUT GROUP. Questions for participants:

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Exploring Freight

Data and Modeling

Session:

Data for Freight Analysis, Planning and Implementation

Vidya Mysore

[email protected]

FHWA Resource Center

July 30, 2013


BREAKOUT GROUP

Questions for participants:

What types of freight data, forecasting and analysesare important to you for supporting planning, project development and implementation? Please share your approaches and challenges in getting the job done!

What kind of partnerships do you currently have and what type of partnershipsare looking forward to developing between MPOs, state DOT, FHWA and the private sector in advancing freight data, forecasting and analytical resources in your region?


What are our objectives
What are our Objectives?

  • Understand how to obtain/work with freight data sources

  • Understand freight movement within and to/from a region

  • Learn about different freight modeling techniques used in practice, and their limitations

  • Learnabout the NEW Supply Chain Logistics Freight Model techniques


Major issues at metropolitan regions
Major Issues at Metropolitan Regions

  • Issues include how to manage and invest in the system to meet regional objectives:

    • For example – Short/Long Range Freight Transportation Planning Objectives:

      • economic competitiveness,

      • interregional connectivity;

      • efficiency; choices;

      • intermodal connectivity;

      • energy, air quality and climate; and

      • emergency management and safety


Freight data

Freight Data

Types of freight data, what freight data tell us and freight movements, and where to obtain them


Freight data sources
Freight Data Sources

  • Infrastructure

    (e.g. highway, rail, waterway networks, port, airports, intermodal databases)

  • Economic data

    (e.g. employment, BEA input/output, Socio economic forecasts)

  • Freight demand and vehicle movements

    (e.g. CFS, FAF, PIERS, Waybill, border crossing, truck counts, truck GPS, WIM data)

  • Classification systems

    (NAICS, SCTG, STCC, HSC)

  • Local survey data

    (establishment surveys, truck diary surveys, etc.)


Local survey data variables
Local survey data, variables

  • Location information

  • Time and route information

  • Truck classification type and size categories

  • Commodity information

  • Total employment

  • Geography of establishment


Freight truck model based on commodity groups
Freight Truck Model based on Commodity Groups

Commodity Flow units need to convert from (measured in Tons & Values) to…?

There are many commodity groups in a Freight Model. Such as:

Agriculture

Non-Metallic Minerals

Coal

Food

Non-Durable Manufacturing Goods

Lumber

Chemicals

Paper

Petroleum Products

Other Durable Manufacturing Goods

Clay, Concrete and Glass

Waste

Miscellaneous Freight

Warehouse


Commodity flow convert to this
Commodity Flow – Convert…to this

  • Logging

  • Dry Van

  • Platform

  • Livestock

  • Automobile

  • Bulk

  • Other

  • Reefer

…measured in Truck Trips

  • Tank



Trips Starting outside Florida & Ending in Jacksonville – FAF Zone

Weekdays

Frequency (Percentage)

Time of day (0 is 12AM)

Number of trips : 39,711

Time-of-day Profile of Trips Derived from 4 weeks of ATRI Data

(one week in each of the following months: March, April, May, June 2010)


Measures of corridor demand and freight activity intensity
Measures of Corridor FAF ZoneDemand and Freight Activity Intensity

Freight Intensity Index for Florida, April-June 2010


Measures of Corridor FAF ZoneSpeed and Freight Activity Intensity (county)


Freight truck travel time and route planning
Freight Truck Travel FAF ZoneTime and Route Planning



Freight model

Freight Model FAF Zone

Introduction to freight modeling concepts and the types of freight model used in practice in the U.S.


Freight Modeling Platforms FAF Zone

  • Vehicle-based Models

    • Use vehicle trips to estimate freight demand

  • Traditional Freight Models

  • Four-step process (generation, distribution, mode choice and assignment)

  • Commodity-based Models

    • The weight and volume of freight are the main units of analysis

  • Hybrid Models

    • Combination of different types of models

  • Economic Activity Models

    • Economic land-use models incorporating freight model

  • Supply Chain Based Models

    • Incorporating supply chain elements

First Generation

Second Generation


I-10 FAF Zone0.7%

US 3010.9%

I-952.4%

I-7532.9%

I-1014.8%

I-108.1%

Select Link Analysis near Ocala TTMS count station – April 2010

SR 241.7%

I-75100%

US 30113.1%

FL TPK32.4%

I-7539.7%

SR 20 1.2%

I-7568.0%

I-7517.2%

I-27510.8%

CR 318 1.7%

FL TPK

3.5%

I-42.7%

Ocala Destination 10.8%

I-757.6%

US 27

1.1%

US 272.7%

I-752.8%


Where did freight trucks FAF Zonecome from that used US 301 southbound to get to I-75 southbound in 2010 ?

I-9513.1%

130

US 3014.0%

40

I-1056.8%

540

US 30185.9%

820

SR 244.5%

50

US 30195.5%

900

I-75100%

950


I-95 N FAF Zone1,098 Trips14.6%

Other (NE)652 Trips8.7%

Other (NW)251 Trips3.3%

US 1 N295 Trips3.9%

7,520 Trips Total

JAXPORT: Blount Island Gate

I-10 W477 Trips6.3%

Urban3,485 Trips46.4%

I-95 S895 Trips11.9%

SR 200 S175 Trips2.3%

Other (SW)171 Trips2.3%

Other (SE)21 Trips0.3%



Supply chain logistics based multi modal freight model

Supply Chain Logistics based FAF Zonemulti-modal Freight Model

(2nd generation Freight Model)

Model inputs and structure, integration with passenger model, and policy sensitivity


Supply Chain Freight Model FAF ZoneStructure Overview

1. Statewide Model

Conversion to modal trip tables

Passenger Model

National Supply Chain Model (Firms, Shipments, Modes)

National/Statewide Networks

2. Regional Model

Regional Model

Regional Model

Pax Model

Regional Truck Touring Model

Regional Networks




Truck touring models
Truck Touring Models FAF Zone

  • Implemented in Chicago region for CMAP as part of FHWA project

  • Model links shipment deliveries and pick-ups together into truck tours

  • Tours built for different truck types and for different patterns: single stop, single loops, several returns to warehouse

  • Output is a trip schedule similar to that from an activity-based model of personal travel

Warehouse 120

Delivery tour

Chicago Region


Regional policy sensitivity
Regional Policy Sensitivity FAF Zone

  • Regional model input is the output from the statewide model, so statewide model’s sensitivity feeds through to regional model

  • Local (more detailed) distribution of employment and land use affects local truck travel patterns

  • Local changes in transportation supply, non-truck traffic growth causing congestion, and resulting truck travel times

  • Local policies such as truck routes, truck prohibitions, delivery windows, and size limits can be modeled


BREAKOUT GROUP FAF Zone

  • Questions for participants:

  • What types of freight data, forecasting and analysesare important to you for supporting planning, project development and implementation? Please share your approaches and challenges in getting the job done!

  • What kind of partnerships do you currently have and what type of partnershipsare looking forward to developing between MPOs, state DOT, FHWA and the private sector in advancing freight data, forecasting and analytical resources in your region?


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