Matches in SemOpenAlex for { <https://semopenalex.org/work/W3048309465> ?p ?o ?g. }
- W3048309465 endingPage "105668" @default.
- W3048309465 startingPage "105668" @default.
- W3048309465 abstract "The present study has investigated the relationship between traffic volume and crash numbers by means of meta-analysis, based on 521 crash prediction models from 118 studies. The weighted pooled volume coefficient for all crashes and all levels of crash severity (excluding fatal crashes) is 0.875. The most important moderator variable is crash type. Pooled volume coefficients are systematically greater for multi vehicle crashes (1.210) than for single vehicle crashes (0.552). Regarding crash severity, the results indicate that volume coefficients are smaller for more fatal crashes (0.777 for all fatal crashes) than for injury crashes but no systematic differences were found between volume coefficients for injury and property-damage-only crashes. At higher levels of volume and on divided roads, volume coefficients tend to be greater than at lower levels of volume and on undivided roads. This is consistent with the finding that freeways on average have greater volume coefficients than other types of road and that two-lane roads are the road type with the smallest average volume coefficients. The results indicate that results from crash prediction models are likely to be more precise when crashes are disaggregated by crash type, crash severity, and road type. Disaggregating models by volume level and distinguishing between divided and undivided roads may also improve the precision of the results. The results indicate further that crash prediction models may be misleading if they are used to predict crash numbers on roads that differ from those that were used for model development with respect to composition of crash types, share of fatal or serious injury crashes, road types, and volume levels." @default.
- W3048309465 created "2020-08-13" @default.
- W3048309465 creator A5049952534 @default.
- W3048309465 creator A5058632383 @default.
- W3048309465 date "2020-09-01" @default.
- W3048309465 modified "2023-10-06" @default.
- W3048309465 title "Traffic volume and crashes and how crash and road characteristics affect their relationship – A meta-analysis" @default.
- W3048309465 cites W152489971 @default.
- W3048309465 cites W1595657525 @default.
- W3048309465 cites W1776224776 @default.
- W3048309465 cites W1832606041 @default.
- W3048309465 cites W1950018093 @default.
- W3048309465 cites W1955273796 @default.
- W3048309465 cites W1963731413 @default.
- W3048309465 cites W1965945321 @default.
- W3048309465 cites W1968001636 @default.
- W3048309465 cites W1968362748 @default.
- W3048309465 cites W1972324279 @default.
- W3048309465 cites W1973490420 @default.
- W3048309465 cites W1975133966 @default.
- W3048309465 cites W1976961608 @default.
- W3048309465 cites W1977002116 @default.
- W3048309465 cites W1980975343 @default.
- W3048309465 cites W1984771125 @default.
- W3048309465 cites W1985198010 @default.
- W3048309465 cites W1989827169 @default.
- W3048309465 cites W1997472307 @default.
- W3048309465 cites W1998585336 @default.
- W3048309465 cites W1999184766 @default.
- W3048309465 cites W1999322433 @default.
- W3048309465 cites W2003226215 @default.
- W3048309465 cites W2012012865 @default.
- W3048309465 cites W2013795431 @default.
- W3048309465 cites W2018568397 @default.
- W3048309465 cites W2023549578 @default.
- W3048309465 cites W2030519827 @default.
- W3048309465 cites W2031275090 @default.
- W3048309465 cites W2032193142 @default.
- W3048309465 cites W2036740 @default.
- W3048309465 cites W2041278753 @default.
- W3048309465 cites W2042436586 @default.
- W3048309465 cites W2042451995 @default.
- W3048309465 cites W2042805254 @default.
- W3048309465 cites W2043809925 @default.
- W3048309465 cites W2047652980 @default.
- W3048309465 cites W2048958945 @default.
- W3048309465 cites W2051494866 @default.
- W3048309465 cites W2051596469 @default.
- W3048309465 cites W2051779190 @default.
- W3048309465 cites W2053760797 @default.
- W3048309465 cites W2053974839 @default.
- W3048309465 cites W2056434255 @default.
- W3048309465 cites W2057020884 @default.
- W3048309465 cites W2058776075 @default.
- W3048309465 cites W2058816802 @default.
- W3048309465 cites W2060817938 @default.
- W3048309465 cites W2063324469 @default.
- W3048309465 cites W2068935987 @default.
- W3048309465 cites W2069358153 @default.
- W3048309465 cites W2069731626 @default.
- W3048309465 cites W2071992746 @default.
- W3048309465 cites W2073444542 @default.
- W3048309465 cites W2074695531 @default.
- W3048309465 cites W2075804931 @default.
- W3048309465 cites W2081269411 @default.
- W3048309465 cites W2083941252 @default.
- W3048309465 cites W2087828133 @default.
- W3048309465 cites W2089173795 @default.
- W3048309465 cites W2089308512 @default.
- W3048309465 cites W2095701214 @default.
- W3048309465 cites W2101659538 @default.
- W3048309465 cites W2101779414 @default.
- W3048309465 cites W2106220766 @default.
- W3048309465 cites W2116545394 @default.
- W3048309465 cites W2119605658 @default.
- W3048309465 cites W2125961882 @default.
- W3048309465 cites W2128426561 @default.
- W3048309465 cites W2131415352 @default.
- W3048309465 cites W2138693928 @default.
- W3048309465 cites W2139168999 @default.
- W3048309465 cites W2146448318 @default.
- W3048309465 cites W2156226617 @default.
- W3048309465 cites W2156259828 @default.
- W3048309465 cites W2157116989 @default.
- W3048309465 cites W2267098651 @default.
- W3048309465 cites W2289773934 @default.
- W3048309465 cites W2317786030 @default.
- W3048309465 cites W2469327110 @default.
- W3048309465 cites W2473738105 @default.
- W3048309465 cites W2493086970 @default.
- W3048309465 cites W2513650310 @default.
- W3048309465 cites W2530212429 @default.
- W3048309465 cites W2558655434 @default.
- W3048309465 cites W2570555403 @default.
- W3048309465 cites W2593431464 @default.
- W3048309465 cites W2603649984 @default.
- W3048309465 cites W2625368063 @default.
- W3048309465 cites W2749850154 @default.