A user-operator assignment game with heterogeneous user groups for empirical evaluation of a microtransit service in Luxembourg

Abstract

We tackle the problem of evaluating the impact of different operation policies on the performance of a microtransit service. This study is the first empirical application using the stable matching modelling framework to evaluate different operation cost allocation and pricing mechanisms on microtransit service. We extend the deterministic stable matching model to a stochastic reliability-based one to consider user's heterogeneous perceptions of utility on the service routes. The proposed model is applied to the evaluation of Kussbus microtransit service in Luxembourg. We found that the current Kussbus operation is not a stable outcome. By reducing their route operating costs of 50%, it is expected to increase the ridership of 10%. If Kussbus can reduce in-vehicle travel time on their own by 20%, they can significantly increase profit several folds from the baseline.

Optimizing Customized Transit Service considering Stochastic Bus Arrival Time

“…e difference between the minimized costs found by HGA-ADAR (e.g., F (S A )) and HGA (e.g., F (S H )) is denoted as "ε 2 ," which is calculated by equation (32). e improved computation time after applying ADAR is recorded in the "CPU 3 " column, which is calculated by…”

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Sustainability analysis framework for on-demand public transit systems

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