Show simple item record

dc.contributor.authorChelule, J. C.
dc.contributor.authorNgetich, M. K.
dc.contributor.authorAyubu, Anapapa O.
dc.contributor.authorImboga, H.
dc.date.accessioned2021-04-29T10:39:11Z
dc.date.available2021-04-29T10:39:11Z
dc.date.issued2019-04
dc.identifier.citationInternational Journal of Science and Research (IJSR), Volume 8 Issue 4, April 2019en_US
dc.identifier.issn2319-7064
dc.identifier.urihttps://www.semanticscholar.org/paper/Time-Series-Analysis-of-Road-Accidents-Using-Moving-Chelule-Ngetich/364cd9937b1c0cb4ad14a06cf59b8136fbe7559f
dc.identifier.urihttps://www.ijsr.net/get_abstract.php?paper_id=ART20197210
dc.identifier.urihttp://hdl.handle.net/123456789/4614
dc.description.abstractThe road transport industry in Kenya plays a vital role in the life of the majority of her citizens. Many Kenyans utilize different transport modes to reach their various destinations daily. Nearly 3000 people killed on Kenyan roads per year. The objective of this study was a time series analysis of road accidents trend in Kenya using the Autoregressive Integrated Model (ARIMA) model. This study used time series techniques which can better describe and model the accident data. This is achieved using suitable techniques whose performances are subsequently analyzed. The study utilized accident data between the years 2014-2017 obtained from National Transport Safety Authority. In this research project, the time series with Box – Jenkins method applied to 4 years of annual road accident data from 2014 – 2017 to determine the trend of road traffic accident cases and deaths in Kenya. ARIMA models subsequently fitted for accident cases and deaths.en_US
dc.language.isoenen_US
dc.subjectTime Series Analysis, Road Accidents, Autoregressive Integrated Moving Average model (ARIMA)en_US
dc.titleTime Series Analysis of Road Accidents Using Autoregressive Integrated Moving Average (ARIMA) Modelen_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record