Analysis of the Vehicle Inventory and Use Survey for Trucks ... - About
Analysis of the Vehicle Inventory and Use Survey for Trucks ... - About
Analysis of the Vehicle Inventory and Use Survey for Trucks ... - About
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trailer. Removal <strong>of</strong> <strong>the</strong>se vehicles creates a data set referred to in this analysis as <strong>the</strong> “1992/1997<br />
Total Fleet.”<br />
For most <strong>of</strong> this analysis, <strong>the</strong> 5-axles or more truck/tractor-trailer combinations were evaluated<br />
which are a subset <strong>of</strong> <strong>the</strong> “Total Fleet.” The “5-Axles or More Fleet” contains data <strong>for</strong> various<br />
types <strong>of</strong> truck/tractor-trailer combinations whose total number <strong>of</strong> axles is greater than or equal<br />
to 5 <strong>and</strong> are <strong>of</strong> primary interest from a truck size <strong>and</strong> weight perspective. In general, <strong>the</strong>re are<br />
four types <strong>of</strong> truck/tractor-trailer combinations evaluated: (1) straight truck with trailer; (2)<br />
tractor truck with semitrailer; (3) tractor truck with two trailing units; <strong>and</strong> (4) tractor truck with<br />
three trailing units.<br />
1.4 Cautionary Notes<br />
The values presented in <strong>the</strong> tables throughout this report are <strong>the</strong> direct result <strong>of</strong> <strong>the</strong> analysis <strong>of</strong> <strong>the</strong><br />
VIUS databases. There has been limited judgement as to <strong>the</strong>ir appropriateness; that task is <strong>the</strong><br />
responsibility <strong>of</strong> <strong>the</strong> reader. It should be noted that <strong>the</strong> VIUS is based on survey data which<br />
assumes that <strong>the</strong> respondents will devote some time <strong>and</strong> ef<strong>for</strong>t to giving accurate estimates <strong>and</strong><br />
responses about <strong>the</strong>ir vehicle. The Bureau <strong>of</strong> <strong>the</strong> Census did do some quality checking <strong>of</strong> <strong>the</strong><br />
data.<br />
State <strong>of</strong> Registration. The data presented in this report has been analyzed on <strong>the</strong> basis <strong>of</strong> <strong>the</strong> state<br />
<strong>of</strong> registration. In drawing inferences from <strong>the</strong> data, <strong>the</strong> potential <strong>for</strong> a registration-bias must be<br />
recognized. However, <strong>the</strong> correlation between state <strong>of</strong> registration <strong>and</strong> state <strong>of</strong> home base<br />
location is approximately 90% <strong>for</strong> <strong>the</strong> 1997 VIUS. Home base state is defined as <strong>the</strong> location<br />
where <strong>the</strong> vehicle is parked when not in use. If state level detail is <strong>of</strong> interest, <strong>the</strong> correlation<br />
should be examined <strong>for</strong> that state <strong>and</strong> <strong>the</strong> vehicles <strong>of</strong> interest.<br />
Population Estimates. In <strong>the</strong> analysis <strong>of</strong> <strong>the</strong> VIUS database, each record does not reflect one<br />
vehicle, but instead it represents a number <strong>of</strong> vehicles in <strong>the</strong> population. To make interpretations<br />
about <strong>the</strong> total truck population from this small sample <strong>of</strong> <strong>the</strong> population, a weighting factor was<br />
applied to each record. This weighting factor differs <strong>for</strong> vehicles registered in different states <strong>and</strong><br />
<strong>for</strong> vehicles belonging to different vehicle type groups. The reason that <strong>the</strong> weighting factor is<br />
not a constant number across all records is due to <strong>the</strong> method <strong>of</strong> sampling <strong>the</strong> truck population<br />
which was conducted at <strong>the</strong> state level, not <strong>the</strong> national level.<br />
Readers must be cognizant <strong>of</strong> <strong>the</strong> fact that this weighting process can create odd results in<br />
selected situations—particularly when <strong>the</strong> sample size relating to a particular group in <strong>the</strong><br />
population is small. This is particularly true when analyzing <strong>the</strong> VIUS at <strong>the</strong> state level where<br />
many states have small sample sizes. For example, our analysis <strong>of</strong> <strong>the</strong> 1997 VIUS database<br />
estimated that New York has 65 vehicles operating as tractor + triple trailer combinations. New<br />
York does not permit such combinations it is likely that <strong>the</strong>se tractors are registered in New York<br />
but operate in ano<strong>the</strong>r State. Alternatively, <strong>the</strong> 65 vehicle population estimate could have arisen<br />
from an incorrect answer on as little as 1 or 2 survey records—which were subsequently<br />
factored-up to create <strong>the</strong> population estimate.<br />
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