Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter.
Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.
Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.
OCR for page 79
Database Analysis 79
Table 4-26. Summary of variables captured in LTCCS.
Vehicle Driver Packaging Infrastructure Situational
Configuration Age Package Type Road Surface Pre-Crash Condition
Cargo Body Experience Quantity Shipped Road Condition Dangerous Event
GVW Condition Quantity Lost Road Type Vehicle Speed
Vehicle Defect Valid License Age (Cargo Tank) Traffic Way Impact Location
Vehicle Response Citation Issued Rollover Protection Access Control Primary Reason
Driver Response Inspection History Speed Limit Accident Type
Training Design Specification No. of Lanes Weather Condition
Location Light Condition
Time of Day
Health Consequences
Key:
Variable obtained
Partially met
Not captured
If a comprehensive study of selected classes of accidents is performed, there are significant
advantages to performing a selected number of accident investigations annually rather than per-
forming a larger intensive study over a one- to two-year period as was done for the LTCCS. The
advantage of continuing studies is that the investment in training can be realized over many
years, and trends in the data also can be evaluated.
Any program for identifying root and contributing causes could, for selected classes of
accidents
1. Obtain data taken from interviews with drivers and other witnesses with information about
the crash. There are many factors that cannot be obtained unless post-vehicle-inspections and
reviews of driver qualifications are conducted.
2. Obtain data collected from SAFER, SAFESTAT, and the MCMIS Registration file. Such data
would provide information on the programs to ensure that hazmat is being transported using
well-trained drivers in safe vehicles.
3. Visit the scene of the accident to obtain first-hand observations, including photographs of the
scene, vehicle damage, scaled measurements, and a scene measurement log. Such informa-
tion is critical for accident reconstruction and also to resolve any data inconsistencies.
4. Consider the techniques developed in the LTCCS. It is not considered feasible to perform the
level of analysis performed in the LTCCS on all hazmat accidents. However, just as the LTCCS
looked at injury and fatality accidents involving heavy trucks in a selected area, so it would be
possible to perform the LTCCS level of analysis for perhaps 50 to 100 hazmat accidents annu-
ally, perhaps those involving a specific type of hazardous material (e.g., TIH [toxic inhalation
hazard] cargo tank shipments). Such analyses could be multimodal if accident investigations
were coordinated.
4.6 Railroad Accident/Incident Reporting System
(RAIRS)
Prevention of hazmat releases caused by railroad accidents differs from other modes in a vari-
ety of respects due to physical, operational, and institutional factors. Some of the important dif-
ferences include
