Centralized public parking management - case study of County Government of Nairobi
Date
2020
Authors
Kang’ethe, Evans Mungai
Journal Title
Journal ISSN
Volume Title
Publisher
Strathmore University
Abstract
Commuting in Nairobi is part of life for anyone living within the city. This has seen the
exponential growth of vehicles that operate within the county. The county government is in charge
of controlling parking spaces which are limited. The methods used are mostly manual and several
automated parking which also has limitations and is highly inefficient. Manual processes are
lengthy with low accuracy of actual operations and accountability. This involves lots of
manpower, which is costly, inconsistent, and inefficient. This has an effect on productivity of the
economy since time and revenue are lost. This research will be aimed at evaluating the current
system and finding ways to make it effective, efficient and convenient to both the county citizens
and government. Information will be collected on the existing method used to parking
management, analyzed to establish current gaps and a recommendation of the best approach will
be presented. There is need for a holistic approach to managing parking in the count of Nairobi.
A system that aggregates all parking slots centrally and identifies each uniquely. The system will
be accessible from anywhere using a web based enabled interface. The drivers in the county will
be able to log in and preserve slots at a defined time on a first come first serve basis. This will
coordinate traffic flow in a more efficient way since the system is able to predict estimated number
of vehicles expected in the city per unit of time apart from those that will be in transit and not
stopping. It will improve the approach used to coordinate parking, people involved with the efforts
required and the technology that is currently being used. Administration of the system will be
centralized and accountability methods stringent.
Description
A Dissertation Submitted to the Faculty of Information in partial fulfillment of the requirements for the award of Master of Science in Computing and Information Systems
Keywords
Automated parking, Public parking management