Caroline Wachuka Muriithi

Student Short Biography

A Graduate Mechanical Engineer registered with IEK and EBK. Working under the Ministry of Interior, in the transport sector, as a Motor Vehicle Inspector, she has been passionate about ensuring safety on our roads. Her interest in road safety coerced her to venture into the masters programme to understand Project Planning and research on poor road construction projects as the other cause of RTA.

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Caroline Wachuka Muriithi
Project Summary

Project  Title

Influence of contractor related factors on quality of road construction projects in Machakos Sub-county, Kenya

Project  Abstract

The study focused on road construction projects which are the actual onset of road traffic accidents. The study area that was analyzed in this project was Machakos sub-county, Kenya. The study was guided by four objectives: To determine the influence of contractor’s skills and knowledge on quality of road construction projects, to establish influence of contractor’s exposure to technology on quality of road construction projects, to examine influence of contractors’ duties as stakeholders on quality of road construction projects and to investigate influence of contractor’s financial resources on quality of road construction projects. Theories applied in this study are Wrecker’s financial distress theory and Resource based view theory. This study employed a descriptive survey research design and a cross-sectional approach was used to collect quantitative data by use of close-ended questionnaires. The total target population was 223 and a calculative formula adopted from Kothari 2004 was adopted to acquire a sample size of 141 respondents. The gathered data was analyzed using descriptive and inferential statistics with the data being presented descriptively using frequencies and percentages. Pearson’s product moment correlation procedure method was used to analyze the inferential statistic data and the results presented. In this study Spearman’s was used to measure the degree of association between the independent and dependent variables.

Research Supervisors

Dr. Mary Mwenda