4. 2019

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http://10.150.1.119/handle/123456789/2612

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Browsing 4. 2019 by Subject "Container Terminal Efficiency"

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    Factors affecting efficiency of container terminals: a case of inland container depot, Embakasi, Nairobi county, Kenya.
    (KESRA/JKUAT - Unpublished research project, 2019) Nyaribo, Emmaculate Monchari
    Container terminals inefficiency has emerged and is clearly evident at ICD Embakasi Nairobi with indicated long clearance period or overstays of received containers at the port for more than 10- 12 days. The delays in clearing containers at the ICD is made worse by inadequate training and development leading to unclear communication in nominating containers for clearance at the ICD, inadequate cargo handling equipment, and inadequate transport infrastructure. The objective of this study was to assess the factors influencing container terminal efficiency at the ICD Embakasi with focus on specific objectives, to establish the effects of training and development on container terminal efficiency at the ICDE, to determine the effects of handling equipment on container terminal efficiency at ICDE and to find out the effects of transport infrastructure on container terminal efficiency at ICDE. This study adopted a descriptive research with survey of a total population of 133 and applied a stratified random sampling technique to select a sample size of respondents. The study used questionnaires in order to bring out the results of the study as expected. Respondents were drawn from the departments within Kenya Ports Authority, Customs and Border Control Department and container terminal operators. The study analyzed the data using descriptive statistics. The information was codified and entered into a spreadsheet and analyzed using frequencies and percentages obtained from the Statistical Package for Social Sciences (SPSS). From the research findings, the study concluded all the independent variables studied have significant effect on container terminal efficiency at ICDN as indicated by the strong coefficient of correlation and a p-value which is less than 0.05. The overall effect of the analyzed factors was very high as indicated by the coefficient of determination. The interpretation of the correlation analysis between dependent and independent variables indicate a high degree of positive correlation which implies that any slight change on any of the independent variables indicate a high degree of positive correlation which implies that a slight change on any of the independent variables; training and development, handling equipment and transport infrastructure will proportionally influence the dependent variable, container terminal efficiency.