Sensitivity analysis of an accident prediction model by the fractional factorial method

Basit Öğe Kaydı
dc.contributor.authorAkgüngör, Ali P.
dc.contributor.authorYıldız, Osman
dc.date.accessioned2020-06-25T17:44:01Z
dc.date.available2020-06-25T17:44:01Z
dc.date.issued2007
dc.descriptionAKGUNGOR, ALI PAYIDAR/0000-0003-0669-5715
dc.description.abstractSensitivity analysis of a model can help us determine relative effects of model parameters on model results. In this study, the sensitivity of the accident prediction model proposed by Zegeer et al. [Zegeer, CN., Reinfurt, D., Hummer, J., Herf, L., Hunter, W., 1987. Safety Effect of Cross-section Design for Two-lane Roads, vols. 1-2. Report FHWA-RD-87/008 and 009 Federal Highway Administration, Department of Transportation, USA] to its parameters was investigated by the fractional factorial analysis method. The reason for selecting this particular model is that it incorporates both traffic and road geometry parameters besides terrain characteristics. The evaluation of sensitivity analysis indicated that average daily traffic (ADT), lane width (IV), width of paved shoulder (PA), median (H) and their interactions (i.e., ADT-W, ADT-PA and ADT-H) have significant effects on number of accidents. Based on the absolute value of parameter effects at the three- and two-standard deviation thresholds ADT was found to be of primary importance, while the remaining identified parameters seemed to be of secondary importance. This agrees with the fact that ADT is among the most effective parameters to determine road geometry and therefore, it is directly related to number of accidents. Overall, the fractional factorial method was found to be an efficient tool to examine the relative importance of the selected accident prediction model parameters. (c) 2006 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1016/j.aap.2006.06.013
dc.identifier.endpage68en_US
dc.identifier.issn0001-4575
dc.identifier.issn1879-2057
dc.identifier.issue1en_US
dc.identifier.pmid16930519
dc.identifier.scopus2-s2.0-33750292832
dc.identifier.scopusqualityQ1
dc.identifier.startpage63en_US
dc.identifier.urihttps://doi.org10.1016/j.aap.2006.06.013
dc.identifier.urihttps://hdl.handle.net/20.500.12587/3984
dc.identifier.volume39en_US
dc.identifier.wosWOS:000243825200010
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofAccident Analysis And Prevention
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectaccident prediction modelen_US
dc.subjectnumber of accidentsen_US
dc.subjectroad safetyen_US
dc.subjectsensitivity analysisen_US
dc.subjectfactorial design methoden_US
dc.titleSensitivity analysis of an accident prediction model by the fractional factorial methoden_US
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Sensitivity analysis of an accident prediction model by the fractional factorial method.pdf
Boyut:
177.66 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin/Full Text
İndir

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Makale Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu