The role of interaction-based effects on fatal accidents using logic regression
Background and Objectives: Road traffic accidents (RTAs) were estimated to be the eighth major cause of death worldwide in 2016. Investigation of various factors alone can distort the results. Thus, it is important to consider interactions among the various factors associated with RTAs. Logic regres...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Kashan University of Medical Sciences
2018-01-01
|
| Series: | Archives of Trauma Research |
| Subjects: | |
| Online Access: | http://www.archtrauma.com/article.asp?issn=2251-953X;year=2018;volume=7;issue=4;spage=140;epage=145;aulast=Rohani-Rasaf |
| _version_ | 1797716886242197504 |
|---|---|
| author | Marzieh Rohani-Rasaf Yadollah Mehrabi Saeed Seyed Hashemi-Nazari Mehdi Azizmohammad Looha Hamid Soori |
| author_facet | Marzieh Rohani-Rasaf Yadollah Mehrabi Saeed Seyed Hashemi-Nazari Mehdi Azizmohammad Looha Hamid Soori |
| author_sort | Marzieh Rohani-Rasaf |
| collection | DOAJ |
| description | Background and Objectives: Road traffic accidents (RTAs) were estimated to be the eighth major cause of death worldwide in 2016. Investigation of various factors alone can distort the results. Thus, it is important to consider interactions among the various factors associated with RTAs. Logic regression was used to investigate the important combinations among traffic accident variables. <b>Methods: In this analytical study, the existing 1-year data from the police accident database in 2014 were examined. The Legal Medicine Organization database was also used to correct death after 30 days. Logic regression, a generalized regression model, was used to explore the interactions among different factors of the accident. Results: Cross-validation results showed the best model in the form of three trees and eight leaves. Being a professional driver and exposure to a heavy vehicle on sandy or earthy road double the chance of death. Operating an unsafe car on a road with curve increases the odds of a fatal crash by 1.65 times. Driver error on a nonresidential road without any shoulders adds 90% to the odds of having a deadly crash. Conclusions: The significance of the interactions between the road and driver factors shows that roads with poor design can cause a driver to make mistakes and increase fatal accidents. Therefore, politicians must consider constructing structures alongside nonresidential roads and proper shoulders, install signs at curves, and repair pavement in order to reduce the fatality of accidents. It is also recommended that manufacturers of commercial vehicles install proper safeguards in all heavy vehicles to reduce fatal accidents. |
| first_indexed | 2024-03-12T08:28:06Z |
| format | Article |
| id | doaj.art-c3bb18dc6c5d42e99716b1c5bd7a3df8 |
| institution | Directory Open Access Journal |
| issn | 2251-953X |
| language | English |
| last_indexed | 2024-03-12T08:28:06Z |
| publishDate | 2018-01-01 |
| publisher | Kashan University of Medical Sciences |
| record_format | Article |
| series | Archives of Trauma Research |
| spelling | doaj.art-c3bb18dc6c5d42e99716b1c5bd7a3df82023-09-02T17:58:52ZengKashan University of Medical SciencesArchives of Trauma Research2251-953X2018-01-017414014510.4103/atr.atr_105_18The role of interaction-based effects on fatal accidents using logic regressionMarzieh Rohani-RasafYadollah MehrabiSaeed Seyed Hashemi-NazariMehdi Azizmohammad LoohaHamid SooriBackground and Objectives: Road traffic accidents (RTAs) were estimated to be the eighth major cause of death worldwide in 2016. Investigation of various factors alone can distort the results. Thus, it is important to consider interactions among the various factors associated with RTAs. Logic regression was used to investigate the important combinations among traffic accident variables. <b>Methods: In this analytical study, the existing 1-year data from the police accident database in 2014 were examined. The Legal Medicine Organization database was also used to correct death after 30 days. Logic regression, a generalized regression model, was used to explore the interactions among different factors of the accident. Results: Cross-validation results showed the best model in the form of three trees and eight leaves. Being a professional driver and exposure to a heavy vehicle on sandy or earthy road double the chance of death. Operating an unsafe car on a road with curve increases the odds of a fatal crash by 1.65 times. Driver error on a nonresidential road without any shoulders adds 90% to the odds of having a deadly crash. Conclusions: The significance of the interactions between the road and driver factors shows that roads with poor design can cause a driver to make mistakes and increase fatal accidents. Therefore, politicians must consider constructing structures alongside nonresidential roads and proper shoulders, install signs at curves, and repair pavement in order to reduce the fatality of accidents. It is also recommended that manufacturers of commercial vehicles install proper safeguards in all heavy vehicles to reduce fatal accidents.http://www.archtrauma.com/article.asp?issn=2251-953X;year=2018;volume=7;issue=4;spage=140;epage=145;aulast=Rohani-Rasafinteractionslogic regressionroad traffic accidents |
| spellingShingle | Marzieh Rohani-Rasaf Yadollah Mehrabi Saeed Seyed Hashemi-Nazari Mehdi Azizmohammad Looha Hamid Soori The role of interaction-based effects on fatal accidents using logic regression Archives of Trauma Research interactions logic regression road traffic accidents |
| title | The role of interaction-based effects on fatal accidents using logic regression |
| title_full | The role of interaction-based effects on fatal accidents using logic regression |
| title_fullStr | The role of interaction-based effects on fatal accidents using logic regression |
| title_full_unstemmed | The role of interaction-based effects on fatal accidents using logic regression |
| title_short | The role of interaction-based effects on fatal accidents using logic regression |
| title_sort | role of interaction based effects on fatal accidents using logic regression |
| topic | interactions logic regression road traffic accidents |
| url | http://www.archtrauma.com/article.asp?issn=2251-953X;year=2018;volume=7;issue=4;spage=140;epage=145;aulast=Rohani-Rasaf |
| work_keys_str_mv | AT marziehrohanirasaf theroleofinteractionbasedeffectsonfatalaccidentsusinglogicregression AT yadollahmehrabi theroleofinteractionbasedeffectsonfatalaccidentsusinglogicregression AT saeedseyedhasheminazari theroleofinteractionbasedeffectsonfatalaccidentsusinglogicregression AT mehdiazizmohammadlooha theroleofinteractionbasedeffectsonfatalaccidentsusinglogicregression AT hamidsoori theroleofinteractionbasedeffectsonfatalaccidentsusinglogicregression AT marziehrohanirasaf roleofinteractionbasedeffectsonfatalaccidentsusinglogicregression AT yadollahmehrabi roleofinteractionbasedeffectsonfatalaccidentsusinglogicregression AT saeedseyedhasheminazari roleofinteractionbasedeffectsonfatalaccidentsusinglogicregression AT mehdiazizmohammadlooha roleofinteractionbasedeffectsonfatalaccidentsusinglogicregression AT hamidsoori roleofinteractionbasedeffectsonfatalaccidentsusinglogicregression |