2017
DOI: 10.5505/pajes.2016.81542
|View full text |Cite
|
Sign up to set email alerts
|

A new approach for road traffic accidents: Crash analysis segments model

Abstract: Bu çalışmada kaza analizleri konusunda yapılan araştırmaların geniş bir literatür taraması yapılarak kaza analiz kesimleri adında yeni bir yaklaşım modeli geliştirilmiştir. Bu yaklaşımda, kaza analizi yapılacak olan yolun geometrik ve trafik özellikleri dikkate alınarak yol kesimi homojen özellikte kaza analiz kesimlerine bölünmüştür. Çalışma bölgesinde meydana gelen trafik kazalarına etki eden faktörler ve bu faktörlerin sebep olduğu kaza şiddetleri belirlenmiştir. Her bir analiz kesimine ait geçmiş trafik ka… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 9 publications
0
1
0
Order By: Relevance
“…In the second step of the statistical analyses, the main factors obtained from FA were used for two-step cluster analysis. Two-step cluster analysis, which gives the ideal number of clusters between the factors obtained and the consumption groups desired to be formed, is the most effective clustering technique (Doğan, 2008;Özdamar, 2004;Şekerler, 2008;Topcu and Baran, 2017). In the present study, therefore, the target consumers were separated to three homogenous clusters as regions I, II, and III by considering the relationships between the main factors obtained from FA and the location of the neighborhoods according to the distances to city center where the consumers who prefer clean drinking water resided in Iğdır Province.…”
Section: Methods Used In the Statistics Analysesmentioning
confidence: 99%
“…In the second step of the statistical analyses, the main factors obtained from FA were used for two-step cluster analysis. Two-step cluster analysis, which gives the ideal number of clusters between the factors obtained and the consumption groups desired to be formed, is the most effective clustering technique (Doğan, 2008;Özdamar, 2004;Şekerler, 2008;Topcu and Baran, 2017). In the present study, therefore, the target consumers were separated to three homogenous clusters as regions I, II, and III by considering the relationships between the main factors obtained from FA and the location of the neighborhoods according to the distances to city center where the consumers who prefer clean drinking water resided in Iğdır Province.…”
Section: Methods Used In the Statistics Analysesmentioning
confidence: 99%