Repo Dosen ULM

Correlation among Assessment of Accident Rate and Geometric Factors, Road Equipment, and Environment (Case Study on Muara Teweh-Puruk Cahu Road Segment)

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dc.creator Frido, Frido
dc.creator Rasentia, Nurhafni K.
dc.creator RADAM, IPHAN FITRIAN
dc.date 2019-04
dc.date.accessioned 2020-06-15T04:02:27Z
dc.date.available 2020-06-15T04:02:27Z
dc.identifier http://eprints.ulm.ac.id/6165/1/2019-04%20Journal%20ETJ.pdf
dc.identifier Frido, Frido and Rasentia, Nurhafni K. and RADAM, IPHAN FITRIAN (2019) Correlation among Assessment of Accident Rate and Geometric Factors, Road Equipment, and Environment (Case Study on Muara Teweh-Puruk Cahu Road Segment). Engineering and Technology Journal, 4 (4). pp. 561-569. ISSN 2456-3358
dc.identifier.uri https://repo-dosen.ulm.ac.id//handle/123456789/12711
dc.description Increased mobility of land transportation for humans and goods that cause traffic accidents is inseparable from a negative aspect of human, road geometric, road equipment, and environment. Accidents that occur can cause a problem that must immediately get treatment as it may lead to damage, either in material or unwanted casualties. To see the relationship between the negative aspects of the accident, a linear regression test was conducted. From the results of the analysis, it can be seen that the correlation between dependent variables such as Accident Frequency, EAN (Equivalent Accident Number), Accident Rate (AR), or UCL (Upper Control Limit) and the independent variables, which are road geometric, environmental conditions and supporting facilities shows that the Accident Frequency and EAN produce a strong correlation. For Accident Frequency, the independent variables that influence it are Land Use and Road Pavement, while EAN shows a better correlation with the independent variables that influence it, which are Public Street Lighting, Land Use, and Road Pavement. For the AR and UCL the correlation value shows a moderate relationship, in the sense that when reviewed, the value of the AR and UCL is not good to be associated with the independent variable, as it has a multi-variant independent variable. KEYWORDS: Accident Frequency, EAN, AR, UCL, Regression Analysis
dc.format text
dc.publisher Eserant Journal
dc.relation http://eprints.ulm.ac.id/6165/
dc.subject TE Highway engineering. Roads and pavements
dc.title Correlation among Assessment of Accident Rate and Geometric Factors, Road Equipment, and Environment (Case Study on Muara Teweh-Puruk Cahu Road Segment)
dc.type Article
dc.type PeerReviewed


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