Odot freight modeling
Download
1 / 51

ODOT Freight Modeling - PowerPoint PPT Presentation


  • 134 Views
  • Uploaded on

ODOT Freight Modeling. Presented to the Ohio Conference on Freight Toledo, OH September 18, 2007 By Gregory Giaimo, PE Ohio Department of Transportation. Context of Freight Modeling at State DOT’s. Part of a larger statewide passenger and freight model

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' ODOT Freight Modeling' - reuel


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Odot freight modeling

ODOT Freight Modeling

Presented to the Ohio Conference on Freight

Toledo, OH

September 18, 2007

By

Gregory Giaimo, PE

Ohio Department of Transportation


Context of freight modeling at state dot s
Context of Freight Modeling at State DOT’s

  • Part of a larger statewide passenger and freight model

  • Developed primarily to study intercity highway corridors

  • Prior to 1990’s, very few such models due to lack of computers and methods

  • Since then about half the states have developed or are developing models


Statewide model status
Statewide Model Status

Source: NCHRP Synthesis 358, Statewide Travel Forecasting Models


Freight model types
Freight Model Types

  • Freight modeling is handled in one of four ways by state DOT models

  • None

  • Traditional “4 Step” Techniques

  • Commodity Based

  • Integrated Land Use/ Economic/ Commodity Based



Statewide models with no freight component
Statewide Models with No Freight Component Demand Modeling – A Peer Exchange

  • Some small states have models exactly analogous to urban passenger travel demand models with no freight model


Commodity based models
Commodity Based Models Demand Modeling – A Peer Exchange

  • This approach models commodity flows

  • These flows are then converted to trucks, trains etc., generally using static mode and payload factors by commodity

  • This is the most common approach


Commodity based models cont
Commodity Based Models (cont.) Demand Modeling – A Peer Exchange

  • Obtain their commodity flow data from the Commodity Flow Survey or the Transearch database

  • The Vehicle Inventory and Use survey is often used to develop payload factors


Integrated land use economic commodity models
Integrated Land Use/ Economic/ Commodity Models Demand Modeling – A Peer Exchange

  • This approach also models commodity flows

  • The main difference from the previous type is the explicit econometric and land use models which feed commodity flows to the transport models

  • Thus base year commodity flows are used to estimate these economic models instead of as direct model inputs


Ohio model
Ohio Model Demand Modeling – A Peer Exchange

  • The five components directly related to the creation of freight flows will be hi-lighted:

  • Interregional Economic Model

  • Land Use Model

  • Activity Allocation Model

  • Aggregate Commercial Vehicle Model

  • Disaggregate Commercial Vehicle Model


Ohio integrated land use economic transport model
Ohio Integrated Land Use/Economic/Transport Model Demand Modeling – A Peer Exchange

Interregional Economic Model

Aggregate Demographic Model

Activity Allocation Model

Land Development Model

Disaggregate Household Synthesis and Employment Spatial Disaggregation Models

Aggregate Commercial Vehicle Model

Disaggregate Commercial Vehicle Model

Short Distance Travel Model

Long Distance Travel Model

Visitor Model

Assignment Model


Model modules
Model Modules Demand Modeling – A Peer Exchange

  • Interregional economic modelof production & consumption by economic sector reflecting national forecasts

  • Demographic model tied to economic activity reflecting migration and changes in population & household composition

  • Activity allocation model to distribute model area economic and demographic forecasts to analysis zones with the related flows of goods & labor among zones from which travel demands are derived

  • Land development model simulating developer behavior in response to demands & costs consistent with other development constraints

  • Personal & household travel model reflecting person & household characteristics, zonal characteristics, inter-zonal economic flows & transport system supply characteristics, 2 components: short distance which looks like an activity/tour based urban area model and long distance, also tour based with purposes: business, recreation, other


Model modules1
Model Modules Demand Modeling – A Peer Exchange

  • Aggregate model of goods and services transport arising from economic and demographic activity by zone very similar to the typical DOT commodity based transport model

  • Disaggregate model of business-related person travel related to management functions, sales & support activities, provision of services and some short distance goods delivery.

  • Model of visitor travel within and into the model area made by non-residents

  • Transport system supply model incorporating air, intercity bus/rail, MPO transit & roadway networks with their corresponding level-of-service characteristics


Highway network
Highway Network Demand Modeling – A Peer Exchange


Rail network intermodals
Rail Network & Intermodals Demand Modeling – A Peer Exchange


Interregional economic model
Interregional Economic Model Demand Modeling – A Peer Exchange

  • Establishes forecast flows of goods, services and labor (in $) between 14 regions of North America

  • Uses exogenous national economic conditions and production composite utilities from the previous time step of the lower level models

  • An inter-regional social accounting matrix based primarily upon IMPLAN data


Exogenous economic indicators
Exogenous Economic Indicators Demand Modeling – A Peer Exchange

Nation Economic Forecast Variables

National Economic Growth


Industry Categories Demand Modeling – A Peer Exchange

1. Agriculture, Forestry, Fisheries

2. Primary Metals (Steel)3. Light Industry4. Heavy Industry5. Transportation Equipment (Auto)6. Wholesale7. Retail8. Hotel9. Construction10. Health11. Transportation Handling12. Utilities13. Other Services14. Grade School Education15. Post-Secondary Education16. Government


Land use model
Land Use Model Demand Modeling – A Peer Exchange

  • Creates developed floor space by category by zone

  • Land develops (if possible) in response to increases in households and employment in the previous analysis year (see activity allocation model) but also due to:

    • Zoning

    • Flood plains

    • Slopes

    • School district quality


Water service
Water Service Demand Modeling – A Peer Exchange


Flood plains
Flood Plains Demand Modeling – A Peer Exchange


Severe slope
Severe Slope Demand Modeling – A Peer Exchange


Activity allocation model
Activity Allocation Model Demand Modeling – A Peer Exchange

  • Subdivides activity to 5000 traffic analysis zones

    • Population

    • Employment

    • Labor Flow

    • Commodity Flow

  • Uses transport utility equations relying on accessibilities and changes in developed land to redistribute activities from year to year


Activity allocation model1
Activity Allocation Model Demand Modeling – A Peer Exchange

  • Inputs include:

    • Regional flows from Interregional Economic Model

    • Floor space by category by TAZ from Land Use Model

    • Households from Aggregate Demographic Model

    • Transport costs from previous iteration of Transport Models


Aggregate commercial vehicle model
Aggregate Commercial Vehicle Model Demand Modeling – A Peer Exchange

  • With the commodity flows established, the aggregate commercial vehicle model itself is very similar to the commodity representation in other statewide models

  • Input is dollars of flow of goods and labor at the Traffic Analysis Zone (TAZ) level

  • Output is flows of trucks between TAZ’s


Aggregate commercial vehicle model flow chart
Aggregate Commercial Vehicle Model Flow Chart Demand Modeling – A Peer Exchange

Fixed shares by commodity class, by distance for bulk commodities, mode choice model for inter-modal eligible commodities, based on CFS

Total Dollars flows

Determine Mode

Convert Goods Flows to Tons

By commodity class and distance, from CFS

By commodity class and distance, from VIUS

Determine Truck Type

Determine Number of Truck Loads

By commodity class and truck type, from VIUS

Based on traffic counts, conversion from annual to weekday assumes 300 equivalent week days per year. This value is obtained as follows: (52 * 5) weekdays plus (52 * 2 * 0.44) weekday equivalents for weekends minus 6 holidays.

Determine Trucks by Hour of Day

Trucks by type by hour by OD TAZ


Truck Mode Shares by Distance and Commodity Demand Modeling – A Peer Exchange


Dollar to Ton Conversion by Distance and Commodity Demand Modeling – A Peer Exchange


Truck Type by Distance and Commodity Demand Modeling – A Peer Exchange


Payload Factors by Distance and Commodity Demand Modeling – A Peer Exchange


Disaggregate commercial vehicle model
Disaggregate Commercial Vehicle Model Demand Modeling – A Peer Exchange

  • DCOM is designed to account for short distance commercial travel not related to the long distance shipping of freight (accounted for in ACOM)

  • Long distance business travel is accounted for in the Long Distance Travel model of the personal transport model since these trips were obtained in the special long distance travel survey


Disaggregate commercial vehicle model1
Disaggregate Commercial Vehicle Model Demand Modeling – A Peer Exchange

  • Employs a tour based microsimulation of employees

  • Based on establishment surveys

  • Analogous to HH based tour based model but based at the place of work

  • Does not include route delivery vehicles


Disaggregate Commercial Vehicle Model Demand Modeling – A Peer Exchange


Disaggregate commercial vehicle model2
Disaggregate Commercial Vehicle Model Demand Modeling – A Peer Exchange

Employment categorized as:

  • Industrial

  • Wholesale

  • Retail

  • Transportation Handling

  • Service


Disaggregate commercial vehicle model3
Disaggregate Commercial Vehicle Model Demand Modeling – A Peer Exchange

Trip purposes:

  • Service

  • Meeting

  • Goods (delivery)

  • Other (includes such things as stopping for lunch or fuel)


Outputs
Outputs Demand Modeling – A Peer Exchange


Forecast volumes
Forecast Volumes Demand Modeling – A Peer Exchange


Traffic flow maps
Traffic Flow Maps Demand Modeling – A Peer Exchange

District 2 Volumes Excluding Interstate

District 2 Volumes Including Interstate


Toll Sensitivity Analysis Demand Modeling – A Peer Exchange

Showing Volumes Changes


Congestion Management Demand Modeling – A Peer Exchange

Congestion Comparisons

By ODOT Districts

For Ohio Counties


User costs by alternative
User Costs by Alternative Demand Modeling – A Peer Exchange


Predicted changes by economic sector
Predicted Changes by Economic Sector Demand Modeling – A Peer Exchange


Employment forecasts
Employment Forecasts Demand Modeling – A Peer Exchange


Interaction of ohio s economy with the rest of the us
Interaction of Ohio’s Economy with the Rest of the US Demand Modeling – A Peer Exchange


Commodity production
Commodity Production Demand Modeling – A Peer Exchange


Changes in commodity production
Changes in Commodity Production Demand Modeling – A Peer Exchange


Future challenges
Future Challenges Demand Modeling – A Peer Exchange

  • Modeling community would like to move to more detailed freight modeling based upon econometrics and supply chains

  • The main challenge that plagues this as well as current modeling efforts is the lack of geographically specific freight data


Top 10 challenges impeding development of freight models by state dot s
Top 10 Challenges Impeding Development of Freight Models by State DOT’s

  • Lack of DATA

  • Lack of DATA

  • Lack of DATA

  • Lack of DATA

  • Lack of DATA

  • Lack of DATA

  • Lack of DATA

  • Lack of DATA

  • Lack of Money

  • Lack of better theoretical formulations (but see 1-8 for why this is the case)


Questions
Questions? State DOT’s


ad