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This document describes a user-operator assignment game model to evaluate the impact of different operation policies on a microtransit service in Luxembourg called Kussbus. The model extends previous stable matching models to consider heterogeneous user preferences. It formulates the problem as an assignment game with two subproblems: 1) an optimal user-route matching problem and 2) a stable outcome problem to determine cost allocations. The model is applied empirically to real data from Kussbus to analyze the effects of changes in route costs, travel times, and access distances on ridership and profits. Sensitivity analysis found that reducing route costs by 50% could increase ridership by 10% and reducing travel times by 20% could significantly increase profits. - Download as a PDF or view online for free

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-- use a dynamic transition name --> v-slot="{ Component, route }"> name="route.meta.transition">