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dc.contributor.authorBiketi, Felix Quentin
dc.date.accessioned2025-07-03T06:45:54Z
dc.date.available2025-07-03T06:45:54Z
dc.date.issued2019
dc.identifier.issn2321 – 919X
dc.identifier.uri10.24940/theijst/2019/v7/i1/ST1901-032
dc.identifier.urihttp://repository.mut.ac.ke:8080/xmlui/handle/123456789/6606
dc.description.abstractRoad crash in the Transport Industry are a threat to public health and national development in many developing countries. They contribute to poverty by causing deaths, injuries, disabilities, grief, lost of productivity and material damages. The study was undertaken at Nairobi County, with specific focus on Nairobi Hospital, Nairobi County, Hospitals, (BCH), Nairobi police station, Nairobi Police station, County’s department of Transport / accidents and some road terminus in Nairobi County. This study seeks to identify risk factors for road crashes in transport industry in Nairobi County. To find the relationship between speed of a vehicle and road crashes by applying power model to estimate the effects of road crashes. This study seeks to answer the following questions; do the speed of vehicle and risk factors are adequate reasons for perpetual road crashes in Kenya especially in Nairobi County? The results obtained in this study, can be used by the road safety authorities for planning and evaluating road safety measures. The methodology and procedure for data collection was based on both qualitative and quantitative approach. Interviews, focus group discussions, observations and review of secondary data, were collected accordingly; some data were subjected to power model to estimate the road crashes effects. The data will be used by the stake holders to develop interventions to mitigate road crashes in the Transport Industry. The data obtained in this study can be used by the road safety authorities for planning and evaluating road safety measures. Statistical analyses of data were done by descriptive statistics employing the measures of central tendencies, frequency distributions, difference between a set of observed frequencies and a corresponding expected frequency.en_US
dc.language.isoenen_US
dc.publisherTHE INTERNATIONAL JOURNAL OF SCIENCE & TECHNOLEDGEen_US
dc.subjectRisk, road crashes, disability adjusted life years; vehicle factors, factors influencing exposure to risk, the circadian rhythm , driver fatigueen_US
dc.titleRisk Factors for Road Crashes in Nairobi County, Kenyaen_US
dc.typeArticleen_US


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