Birhanu, Beshah (PhD)Sisay, Weheyaga2020-01-142023-11-182020-01-142023-11-182019-10http://etd.aau.edu.et/handle/12345678/20493Addis Ababa is challenged by providing access to safe, efficient and sustainable transport system. Congestion is becoming a common experience in different parts of the city due to the lack of consistent concentrated efforts from the various stakeholders. The city is critically inadequate to provide service for the increasing travel demand of the city. This research explores methods of minimizing Addis Ababa transport system problem by using transport demand management strategies. Transportation Demand Management (TDM) refers to the various strategies adopted to change travel behavior to increase the transportation system efficiency and also to achieve reduction in congestion, fuel conception, environmental pollution, while focusing on the safety and mobility of the road users. In order to select applicable demand management strategy the first step is to identify behavior of major Addis Ababa transport problems. Primary and secondary data has been used to identify behavior of major transport problems. The behavior and effect of this problems have been described using system dynamics causal loop diagrams. After identification of Addis Ababa transport problems Qualitative comparative analysis is used to confirm applicability of transport demand management strategy. Applicable transport demand management strategy has been selected by considering correlation between Addis Ababa transport demand management barriers, transport demand management strategy and Addis Ababa transport problem behavior. Customized QFD analysis is performed to measure relative importance of selected transport demand management strategy with transport service quality measuring parameters and prioritize the transport demand management strategies. Math lab Digital image process analysis is used to analyze traffic intensity of typical traffic congestion of Addis Ababa. Input of Math lab analysis is image collected form Online Google traffic monitoring webpage. Typical traffic condition data is collected for 17 hour per day for every week day. Math lab digital image analysis identifies traffic intensity of Addis Ababa with respect to week days and every season of the year. The result analysis shows decrease of traffic congestion by 17 % to 31 % .Finally based on result of analysis space (location) and time of application of selected transport demand management strategy is identified.en-USTransport SystemTransport DemandAddis AbabaManagement StrategyThesis