1992 CENSUS OF TRANSPORTATION
TRUCK INVENTORY AND USE SURVEY


=>DATA COLLECTED

The Truck Inventory and Use Survey (TIUS) provides data on the
physical and operational characteristics of the Nation's truck
population.  It is based on a probability sample of private and
commercial trucks registered (or licensed) in each State during
1992.  A sample of over 150,000 trucks were surveyed to measure
the universe of over 60 million trucks.


=>USES OF THE TRUCK INVENTORY AND USE SURVEY

TIUS information is of considerable value to Federal, State, and
local transportation agencies in planning highway cost
allocations, road improvements, truck size and weight issues,
user fees of commercial and private vehicles, energy consumption,
and other aspects of improving transportation services for
shippers and carriers.  The Federal Government also uses these
data as an important framework for the national investment and
personal consumption expenditures component of the Gross Domestic
Product (GDP), input-output tables, economic development
evaluation, maintenance of vital statistics for prediction of
future economic and transportation trends, logistical
requirements, and regulatory impact analysis.

Industry, business, academia, and the general public need these
data to assess the truck population's involvement with intermodal
use, conduct market studies and evaluate market strategies,
assess the utility and cost of certain types of equipment,
calculate the longevity of products, determine fuel demands and
needs for fuel efficiency, and assess the effects of deregulation
on the restructuring of the transportation industries.  TIUS data
are regularly used to link to and more accurately utilize other
data sets representing limited segments of the truck universe.


=>COMPARABILITY WITH PREVIOUS SURVEYS

Although the basic purpose and scope of the previous Truck
Inventory and Use Surveys were essentially the same as this one,
some new items were introduced in 1992 as well as some changes
that may affect specific items in this report. (See Explanation
of Terms.)