Vehicles can be considered as mobile platforms that enable the provision of public services like education, healthcare, or energy without stationary infrastructure. In particular, rural regions across sub-Saharan Africa demand for such flexible solutions as demand is scattered across vast regions, making investments in fixed facilities economically infeasible. Nevertheless, before entering a new region, vehicle fleet operators require an estimate of the costs in relation to the addressable demand to validate the investment case. This paper introduces a novel cost model for heterogeneous vehicle-based service systems. The proposed mixed integer programming problem considers strategic, tactical, and operational planning decisions that determine the cost of supplying a target area with a set of services provided by a fleet of vehicles. To test the proposed model, we apply it to a case study in Ethiopia for three public services. Based on the results, fleet operators gain insights into the fleet size, fleet mix, and associated operating costs.
The Vehicle-based Service Routing Problem
2023-08-25
1721854 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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