Collecting, transport, disposal, and managing Municipal Solid Waste (MSW) within urban context is a challenge worldwide. It directly impacts; environmental, health and economic aspects of modern and smart urban cities. MSW transport is the most expensive item in MSW management and in some cases might take up most of the municipalities’ budget. This paper is aimed at developing a framework that can be utilized in planning and determining the optimum MSW transportation route. Samples from developed, developing and under developed countries were studied thoroughly. Selecting the optimal route depends on a whole array of information that include; cost, time, environment, etc. The proposed framework provides the advantage of both static and dynamic routing models. ArcGIS network analysis and multi-level criteria are used to locate the optimum route. From the review of the previous literature, it is expected that the proposed framework would yield an acceptable semi-optimum route comparable to other commonly used algorithms such as ant-colony organization (ACO), genetic algorithm, backtracking search algorithm, or mix-integer programming. It is expected that the proposed framework, when developed and implemented, will help create a smart MSW management system. © 2018 Institution of Engineering and Technology. All rights reserved.

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