FHWA's Interactive Highway Safety Design Model (IHSDM) can readily measure the nominal safety of a road by comparing its design features to prevailing design criteria.
Nominal and Substantive Safety Thresholds
One can readily measure the nominal safety of a road by comparing its design
features (lane width, shoulder width, sight distance, curvature, grades, roadside
features) to prevailing design criteria. One module of FHWA's Interactive Highway
Safety Design Model (IHSDM), a Policy Review Module, is intended to do just
that. The vision of FHWA is that the IHSDM will become a standard best practice
as a design diagnostic and decision making tool. Appendix F provides an overview
of FHWA's IHSDM.
Similarly, one can measure or characterize an existing highway's substantive
safety (i.e., define the nature and extent of the safety problem) by determining
the frequency, type, severity, and other characteristics of crashes, as well
as other information (most importantly, its traffic volume). Here, best practices
call for comparing the actual performance of a road with some established benchmark
or comparison figure.
The expected safety performance of any road is strongly related to its context,
defined by the following:
* Traffic volume
* Location (rural, urban, suburban)
* Functional classification (controlled access, arterial, collector, local)
* Facility type (two-lane, multi-lane undivided, multi-lane divided)
* Terrain (mountainous, rolling, level)
* Roadway segment (mid-block or typical section, intersection, including type
of intersection traffic control)
* Surrounding land use (number of driveways, commercial versus residential;
associated pedestrian activity)
Typical best practices are to compare the safety performance of a particular
highway with a relevant statewide average or expected value for that facility
type. Thus, a meaningful review of a two-lane rural highway would involve comparing
it to other similar two-lane rural highways (not to all highways or other highway
types). Most states compile statistics that describe the mean crash rate, characteristics
of crashes (multi-vehicle, single vehicle) and their severity (percent resulting
in an injury or fatality) to enable judgments about substantive safety.
Exhibit F-4 (CSD_153)
Representative Accident Rates by Highway Types
The values in Exhibit F-4 (CSD_153) are representative and for general reference
only. National statistics for crash rates by different highway types are not
available. Care should be taken in comparing statistics from different states,
as there may be many differences between states in matters such as reporting
levels (minimum crash severity requiring a police report to be filed with the
state), data quality, and even definitions of severity, type, or other features.
Also, geographic and climate differences can produce differences in overall
crash rates between states. Best practices generally call for using a state-specific
database or table. Appendix F contains a description of Iowa DOT's "best
practice" safety data analysis tool - SAVER: E5, and a discussion of fundamental
architecture of the Design Decision Support System from NCHRP Report 430. See
also NCHRP Report 430 for more information on crash data quality issues.
Another method for determining the substantive safety of a highway is to compare
its performance with accepted crash prediction models. FHWA's Interactive Highway
Safety Design Model established models for predicting crashes for two-lane rural
highway segments and intersections. Other models published in the technical
literature provide insights as to expected performance. They also provide means
of testing or describing the expected effects of a different design alternative,
and of quantifying safety impacts of a design decision.
Exhibit F-5 (CSD_163) illustrates how knowledge of nominal and substantive safety
can influence the overall approach to problem definition and solution. Every
highway segment or project can be categorized as being nominally safe or unsafe;
and as substantively safe or unsafe. A two-by-two framework thus captures all
possibilities. Highway or road projects that may be nominally unsafe but substantively
safe may be candidates as 3R projects (assuming a significant mobility issue
is not present), which implies less stringent design criteria. Or, for such
projects the designer may be more willing to accept a design exception if the
context warrants this. Projects that involve a road that is known to be substantively
unsafe but nominally safe require special targeted effort to deal with the safety
problem. For highways or roads that are both nominally and substantively unsafe,
reconstruction to full standards and a reluctance to accept a design exception
may be appropriate.
Finally, a project involving a proposed new road has by definition no existing
substantive safety performance. For such projects a focus on nominal safety
- adherence to design criteria is the best approach. Designers should be reluctant
to plan and design a road on newly acquired right-of-way with significant geometric
design exceptions.
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