Abstract
Transportation is a key to the economy and social welfare; it makes mobility more accessible and enhances the social and economic interactions. On the other hand, the increase of urban population, pollution and other negative impacts has directly affected the existing transportation system in Dar es Salaam City - Tanzania. As the transportation challenges cannot be overcome simultaneously due to the scarcity of financial resources, a decision support tool is needed to prioritize these challenges. In this study, a composite model of Vague Set Theory (VST) and Analytical Hierarchy Process (AHP) is applied to appraise the challenges. The Vague Analytical Hierarchy Process (VAHP) uses opinions of experts collected from a survey questionnaire. The computational results reveal the ranking in descending order of the urban transportation challenges as poor traffic management, inadequacy of proper public transit service and inadequacy of road transport infrastructure. The results also depict that the VAHP model is a useful decision support tool for transport planners, transport policy makers and other industry stakeholders.
Highlights
The social-economic activities in any nation involve the movement of people and freight from one place to another
The assessor’s score on a particular factor/sub-factor based on the Vague Set Theory (VST) is given as an interval of crisp values matching with a particular linguistic term
Rapid urbanization in Dar es Salaam city – Tanzania has led to the increased demand for public transport services which in turn necessitates improved transport infrastructure, traffic management and public transit services
Summary
The social-economic activities in any nation involve the movement of people and freight from one place to another. Dar es Salaam, the seaborne gateway in international trade for Tanzania and most of the East and Central African countries has been facing tremendous challenges in urban public transportation resulting from growth in travel demand and vehicular population. The AHP decision making approach combines deductive approach and systems approach of solving problems into one integrated logical framework and this makes it that much more effective in priority setting [3]. As it is hard for a decision maker to assess a factor/sub-factor based on a single number on a proposed scale of Judgement Number of Superiority, the application of the AHP alone could lead to a biased decision. The assessment of factors/sub-factors becomes much easier and unbiased
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