Linked Life Data

11322607

Source:http://linkedlifedata.com/resource/pubmed/id/11322607

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2001-4-26
pubmed:abstractText
The effects of six predictor variables, drivers' age, monthly income, years of education, sex, marital status, and nationality on perception of traffic signs were modeled through regression techniques. The populations sampled here were from Kuwait, United Arab Emirates, Bahrain, Qatar, and Oman. A total of 28 posted regulatory and warning signs were investigated. A questionnaire especially prepared for this study was distributed to 9,000 drivers in the five states, out of which 4,774 responded (53%). The drivers were selected according to stratified choice-based random sampling technique. Two prediction models were developed for assessment of drivers' recognition of regulatory and warning signs.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0031-5125
pubmed:author
pubmed:issnType
Print
pubmed:volume
92
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
72-82
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Prediction of drivers' recognition of posted signs in five Arab countries.
pubmed:affiliation
Department of Civil and Architectural Engineering, University of Bahrain.
pubmed:publicationType
Journal Article