TY - JOUR
T1 - Case-control and cross-sectional methods for estimating crash modification factors
T2 - Comparisons from roadway lighting and lane and shoulder width safety effect studies
AU - Gross, Frank
AU - Donnell, Eric T.
PY - 2011/4
Y1 - 2011/4
N2 - Problem: While observational before-after studies are considered the industry standard for developing crash modification factors (CMFs), there are practical limitations that may preclude their use in highway safety analysis. There is a need to explore alternative methods for estimating CMFs. Method: This paper employs case-control and cross-sectional analyses to estimate CMFs for fixed roadway lighting and the allocation of lane and shoulder widths. Results: Based on the case-control method, the CMF for intersection lighting is 0.886, while the cross-sectional study indicates a CMF of 0.881. The CMFs developed for lane and shoulder widths are also similar when comparing the two methods. Conclusions: This paper suggests that case-control and cross-sectional studies produce consistent results if care is taken in the study design and model development. Impact on industry: Case-control and cross-sectional studies may provide a viable alternative to estimate CMFs when a before-after study is impractical due to data restrictions.
AB - Problem: While observational before-after studies are considered the industry standard for developing crash modification factors (CMFs), there are practical limitations that may preclude their use in highway safety analysis. There is a need to explore alternative methods for estimating CMFs. Method: This paper employs case-control and cross-sectional analyses to estimate CMFs for fixed roadway lighting and the allocation of lane and shoulder widths. Results: Based on the case-control method, the CMF for intersection lighting is 0.886, while the cross-sectional study indicates a CMF of 0.881. The CMFs developed for lane and shoulder widths are also similar when comparing the two methods. Conclusions: This paper suggests that case-control and cross-sectional studies produce consistent results if care is taken in the study design and model development. Impact on industry: Case-control and cross-sectional studies may provide a viable alternative to estimate CMFs when a before-after study is impractical due to data restrictions.
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U2 - 10.1016/j.jsr.2011.03.003
DO - 10.1016/j.jsr.2011.03.003
M3 - Article
C2 - 21569894
AN - SCOPUS:79955888914
SN - 0022-4375
VL - 42
SP - 117
EP - 129
JO - Journal of Safety Research
JF - Journal of Safety Research
IS - 2
ER -