National Academy of Sciences | 150 Year Anniversary

Questions? Call 800-624-6242

| Items in cart [0]

The National Academies Press

Rights & Permissions

topleft topright

HMCRP Report 1: Hazardous Materials Transportation Incident Data for Root Cause Analysis (2009)
Hazardous Material Cooperative Research Program (HMCRP)

Citation Manager

Transportation Research Board. "2.2.4 Transportation Research Circular 231: Truck Accident Data Systems: State-of-the-Art Report." HMCRP Report 1: Hazardous Materials Transportation Incident Data for Root Cause Analysis. Washington, DC: The National Academies Press, 2009.

Please select a format:

BibTeX EndNote RefMan


Page
16
bottomleft bottomright
Page
16
Front Matter (R1-R11)
Summary (1-8)
1.1 Project Purpose (9-9)
1.2.1 Literature Review (10-10)
1.2.3 Analysis of Databases (11-11)
1.3 Effective Methods to Ensure High-Quality Data (12-12)
1.4 Potential Measures to Enhance the Ability of Databases to Identify the Root Causes of Hazmat Crashes (13-13)
2.2.1 Rail Equipment - Train Accident Data (14-14)
2.2.2 Project 5 Overview - Developing Common Data on Accident Circumstances (15-15)
2.2.4 Transportation Research Circular 231: Truck Accident Data Systems: State-of-the-Art Report (16-16)
2.2.6 The Human Factors Analysis and Classification System - HFACS (17-17)
2.2.9 Highway Safety: Further Opportunities Exist to Improve Data on Crashes Involving Commercial Motor Vehicles (18-18)
2.2.11 Comprehensive Safety Analysis 2010: 2006 Listening Session (19-19)
2.2.16 Hazardous Materials Serious Crash Analysis: Phase 2 (20-20)
2.3 Summary of Findings and Implications (21-21)
2.3.2 Solutions Being Implemented or Under Consideration (22-22)
3.1 Introduction (23-23)
3.2 Summary of Responses from Carriers (24-24)
3.2.1 Carrier Satisfaction with HMIRS (25-25)
3.3.1 Shipper 1 (26-26)
3.3.2 Shipper 2 (27-27)
3.4.1 Interviews with Agencies Maintaining Databases (PHMSA) (28-28)
3.4.2 Interviews with Agencies Maintaining Databases (FMCSA) (29-29)
3.4.3 Interviews with Agencies Maintaining Databases (FRA) (30-30)
3.5 Summary of Findings from Interviews (31-31)
4.1.1 MCMIS Database Description (32-32)
4.1.3 Database Format (33-33)
4.1.6 Types of Fields Covered (34-34)
4.1.7 Database Purpose and Function (35-35)
4.1.10 Accuracy and Completeness of Data (36-36)
4.1.11 Identification of Hazmat Incidents in MCMIS (37-41)
4.1.12 Quality Control Process (42-42)
4.1.13 Interconnectivity with Other Databases (43-43)
4.1.14 Analyses Using Database (44-44)
4.1.15 Summary and Potential Measures for Improving Root Cause Analysis (45-45)
4.2 Hazardous Materials Incident Reporting System (HMIRS) (46-46)
4.2.1 Database Description (47-48)
4.2.3 Data Collection (49-49)
4.2.5 Accuracy and Completeness of Data (50-53)
4.2.8 Analyses Using Database (54-59)
4.2.9 Summary and Potential Measures for Improving Root Cause Analysis (60-60)
4.3 Fatality Analysis Reporting System (FARS) (61-61)
4.3.4 Types of Hazmat Data Included (62-62)
4.3.6 Data Quality (63-63)
4.3.7 Additional Fields (64-64)
4.3.9 Compatibility with Other Databases (65-65)
4.4.4 Types of Hazmat Data Included (66-66)
4.4.5 Usefulness of the Data for Determining Root Causes (67-70)
4.4.7 Additional Fields (71-71)
4.4.10 Data Uses (72-72)
4.5.1 Database Description (73-73)
4.5.3 Data Collection (74-74)
4.5.7 Interconnectivity with Other Databases (75-75)
4.5.8 Analyses Using Database (76-77)
4.5.9 Summary and Potential Measures to Improve Root Cause Analysis (78-78)
4.6 Railroad Accident/Incident Reporting System (RAIRS) (79-79)
4.6.1 Track, Roadbed, and Structures (80-80)
4.6.3 Mechanical and Electrical Failures (81-81)
4.6.5 Summary of Causes and Impact (82-83)
4.7.3 Data Collection (84-84)
4.7.5 Accuracy and Completeness (85-85)
4.8.1 Scope of Investigations (86-86)
4.8.2 Approach to Identifying Root Causes (87-87)
4.8.4 Data Quality (88-88)
4.8.5 Probable Cause Findings (89-89)
4.8.6 Summary (90-90)
4.9.1 Introduction (91-91)
4.9.4 Populating Records and Improving Data Quality (92-92)
4.9.6 Database Enhancements and Limitations (93-93)
4.9.7 Summary (94-94)
5.2 Information System Development (95-95)
5.2.1 Develop Framework for Identifying Contributing Causes and Root Causes of Hazardous Material Accidents (96-96)
5.2.3 Add or Modify Inventory Data in Databases (97-97)
5.2.5 Develop a System for Each Database That Will Target About 5% of Hazmat Crashes for More Detailed Investigation (98-98)
5.3.2 Complete Values for All Parameters (99-102)
5.4.1 Potential Measures for MCMIS (103-104)
5.4.2 Potential Measures for HMIRS (105-106)
5.4.3 Potential Measures for TIFA (107-107)
5.4.4 Potential Measures for RAIRS (108-108)
5.6 Follow-On Project (109-109)
References (110-111)
Appendices (112-112)
Abbreviations used without definitions in TRB publications (113-113)

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 16
16 Hazardous Materials Transportation Incident Data for Root Cause Analysis · Absence of guidelines for law enforcement officers and others who are expected to file incident/ accident reports; and · A linkage between a crash investigation report and death certificates and autopsy data is typically missing. Among the recommendations for addressing these inadequacies are · Make greater use of sampling to obtain more detailed information on events of interest, including performing supplemental studies in conjunction with sampling. · Perform special studies using other databases (e.g., Consumer Product Safety Commission's National Electronic Injury Surveillance System) to address transportation-related injuries for which data are not routinely collected by DOT agencies. · Improve data collection/reporting details about crash severity and mechanisms of injury. · Add photographic evidence to crash files. · Make greater use of geographic information systems (GIS) to identify more precisely where the event occurred and to relate the location to surrounding features. · Incorporate data from non-DOT sources (e.g., information on a death certificate) into DOT data records. Other recommendations were associated with how to make greater use of technology to improve data collection and included · Provide crash investigators with handheld devices containing drop-down menus for on-scene data entry. · Incorporate the use of event data recorders into the police accident reporting process. · Encourage the installation of automatic crash notification in road vehicles and have this data included in the investigation. 2.2.3 "National Crash Data Bases Underestimate Underride Statistics" "National Crash Data Bases Underestimate Underride Statistics" (Road Management & Engineer- ing Journal 1999), summarizes the results of a study that selected 275 fatal truck-car crashes reported in both the Fatality Analysis Reporting System (FARS) and National Accident Sampling System-- Crashworthiness Data System (NASS/CDS) for the purpose of evaluating the frequency of crashes that are characterized as underrides. Data from NASS/CDS showed that the percentage of fatal underrides of large trucks by passenger vehicles was much higher in NASS/CDS (27%) than in FARS (7%). The NASS/CDS statistics were considered to be more reliable because a larger amount of resources and personnel are devoted to investigating a crash in NASS/CDS than in FARS. This discrepancy in underrides as a crash characteristic was attributed in part to a lack of avail- able information in the FARS police reports to determine whether the crash involved an under- ride. To help alleviate this problem, it was suggested that the interview skills of FARS analysts be enhanced to help guide them in identifying and coding underrides. 2.2.4 Transportation Research Circular 231: Truck Accident Data Systems: State-of-the-Art Report Transportation Research Circular 231 (TRB 1981) summarizes the proceedings of a workshop that addressed 1. Issues that should guide the collection of truck safety data, 2. Data available to address these issues, 3. Quality and completeness of available data, and 4. Potential sources of additional data.