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295043 occurrences (No.82 in the rank) during 5 years in the PubMed. [no cache] 500 found

66) Based on four crash severity categories (fatal/incapacitating, non-incapacitating, possible injury, and no injury/property damage only), a multinomial logit model is conducted to identify the risk factors.

--- ABSTRACT ---

PMID:24134451 DOI:10.1080/17457300.2013.844713

2015 International journal of injury control and safety promotion

* Identifying the factors contributing to the severity of truck-involved crashes.

- To address the dilemma between the need for truck transportation and the costs related to truck-involved crashes, the key is to identify the risk factors that significantly affect truck-involved crashes. The objective of this research is to estimate the effects of the characteristics of traffic, driver, geometry, and environment on severity of truck-involved crashes. Based on four crash severity categories (fatal/incapacitating, non-incapacitating, possible injury, and no injury/property damage only), a multinomial logit model is conducted to identify the risk factors. The investigation of risk ratios indicates that lower traffic volume with higher truck percentage is associated with more serious traffic crash with fatal/incapacitating injury while a non-standard geometric design is the main cause of non-incapacitating crashes. The influences of weather are significant for the possible-injury crashes while driver condition is the principal cause of no-injury/property-damage-only crashes. In addition, the statistical results demonstrate that the influence of the truck percentage is significant. One-unit change in the truck percentage will cause more than one times probability of being in an injury.

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(1)62 for	(12)10 related	(23)3 using	(34)2 during
(2)44 null	(13)8 on	(24)3 which	(35)2 from
(3)36 that	(14)7 have	(25)3 with	(36)2 including
(4)34 associated	(15)7 such	(26)2 (age,	(37)2 independently
(5)31 and	(16)6 may	(27)2 along	(38)2 involved
(6)29 in	(17)4 influence	(28)2 as	(39)2 jointly
(7)20 were	(18)4 significantly	(29)2 c-Jun	(40)2 other
(8)14 influencing	(19)4 to	(30)2 can	(41)2 produced
(9)13 are	(20)3 across	(31)2 contribute	(42)2 was
(10)13 of	(21)3 among	(32)2 contributing
(11)10 affecting	(22)3 like	(33)2 diagnostic

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--- WordNet output for factors --- Overview of noun factor The noun factor has 7 senses (first 4 from tagged texts) 1. (31) factor -- (anything that contributes causally to a result; "a number of factors determined the outcome") 2. (8) component, constituent, element, factor, ingredient -- (an abstract part of something; "jealousy was a component of his character"; "two constituents of a musical composition are melody and harmony"; "the grammatical elements of a sentence"; "a key factor in her success"; "humor: an effective ingredient of a speech") 3. (4) divisor, factor -- (one of two or more integers that can be exactly divided into another integer; "what are the 4 factors of 6?") 4. (1) agent, factor, broker -- (a businessman who buys or sells for another in exchange for a commission) 5. factor -- (any of the numbers (or symbols) that form a product when multiplied together) 6. factor -- (an independent variable in statistics) 7. gene, cistron, factor -- ((genetics) a segment of DNA that is involved in producing a polypeptide chain; it can include regions preceding and following the coding DNA as well as introns between the exons; it is considered a unit of heredity; "genes were formerly called factors") Overview of verb factor The verb factor has 3 senses (first 1 from tagged texts) 1. (2) factor, factor in, factor out -- (resolve into factors; "a quantum computer can factor the number 15") 2. factor -- (be a contributing factor; "make things factor into a company's profitability") 3. factor, factor in, factor out -- (consider as relevant when making a decision; "You must factor in the recent developments") --- WordNet end ---