NYMTC is planning to undertake freight data collection and a
freight model for the New York metropolitan area.
Under this activity, a consultant will be hired to update the
data that was collected under ‘General Patterns of Freight
Movements’ study. Due to the competitive and diverse nature
of the freight business, the consultant will determine if it is
feasible to collect meaningful data or purchase it. The original
‘General Patterns of Freight Movements’ study contained
county to county data not zone to zone data that is necessary
for modeling. The data collection will be refined to enable the
origin and destination analysis, freight trip generation, and
freight mode split patterns necessary to obtain the modeling results.
These results will be used for planning studies to improve the
efficiencies of transportation system, which will result in economic
viability, resulting in higher employment and improved air quality.
Development Process
| 1 |
Determine the data needed to validate freight model at the
level of major arterial and above roadways |
| 2 |
Ascertain the effects of changing technology,
priorities (LIRR freight) and industry (Manufacturing
or Service) on the data
|
| 3 |
Update freight database to 2002 |
| 4 |
Make corrections to truck routes in the
network
|
5 |
Develop algorithm for determining
the freight model calibration |
| 6 |
Run
model to see if the assignment is acceptable with observed
data. |
Expected Results and Accomplishments
| 1 |
A set of freight trip tables |
| 2 |
A set of freight networks (to be determined).
|
|
3 |
Tested scenarios for improving the efficiencies of freight
movement by determining
| |
Economic Costs
Air Quality Improvements
| · |
Less mileage or less stop and
go |
| · |
More air quality friendly modes |
|
|
| 4 |
A set of loaded highway (freight) networks
for a base year and a future year.
|
Reports from previous studies
Urban Goods Movement
Model for Manhattan (PDF:603k)
An assessment
of methodological Alternatives for a Regional Freight Model in
the NYMTC Region. (PDF: 1.75M)