| dc.description.abstract | Transport management is a function which allows companies which rely on
transportation in business to remove or minimize the risks associated with vehicle
investment thus improving efficiency, productivity and reducing their overall
transportation and staff costs and providing 100 percent compliance with government
legislation. Transport management entails trip scheduling. vehicle repair and
maintenance, fuel management and allocation of duties to drivers.
The research approach adopted is a case study of Kenyatta University (KU) transport
section. The main objective of the study was to evaluate transport management with
specific objective being evaluation of adopted transport strategies and determining the
impact of these strategies on operational cost. The study was guided by five major
strategies in the transport sector which are outsourcing of transport services, fuel
management, vehicle maintenance, vehicle sharing and use of navigation assistance. The
study, being a case drew its major respondents from the transport section. School
administrators were also used to augment information gathered from transport section
respondents. The study also used secondary data to find the actual transport operational
cost.
Data collected from the questionnaires was analyzed using descriptive statistics and
content analysis for the qualitative narrations. Findings of this study provided evidence
that transport strategies adopted by KU transport section were the major reason for high
operation costs. The specific objectives were to evaluate strategies adopted by KU and
their impact on operational costs. The study showed that strategies adopted increased
inefficient use of resources by increasing Kilometers (km) covered and increased
irresponsible driving among drivers which increased the cost of vehicle maintenance, fuel
consumption and consequently the cost of operations. This study recommends that
transport section should adopt strategies that enhance efficiency and effective use of
resources that considerably reduce operational costs. | en_US |
