A stochastic user-operator assignment game for microtransit service evaluation: A case study of Kussbus in Luxembourg

This paper proposes a stochastic variant of the stable matching model from Rasulkhani and Chow [1] which allows microtransit operators to evaluate their operation policy and resource allocations. The proposed model takes into account the stochastic nature of users’ travel utility perception, resulting in a probabilistic stable operation cost allocation outcome to design ticket price and ridership forecasting. We applied the model for the operation policy evaluation of a microtransit service in Luxembourg and its border area. The methodology for the model parameters estimation and calibration is developed. The results provide useful insights for the operator and the government to improve the ridership of the service.

[1]  Mark Wardman,et al.  Values of travel time in Europe: Review and meta-analysis , 2016 .

[2]  Joseph Y. J. Chow,et al.  A path-based many-to-many assignment game to model Mobility-as-a-Service market networks , 2019, ArXiv.

[3]  Joseph Y. J. Chow,et al.  Informed Urban Transport Systems: Classic and Emerging Mobility Methods toward Smart Cities , 2018 .

[4]  Joseph Ying Jun Chow,et al.  Agent-based day-to-day adjustment process to evaluate dynamic flexible transport service policies , 2017 .

[5]  Marco Pavone,et al.  Control of robotic mobility-on-demand systems: A queueing-theoretical perspective , 2014, Int. J. Robotics Res..

[6]  Jari Saramäki,et al.  Where did Kutsuplus drive us? Ex post evaluation of on-demand micro-transit pilot in the Helsinki capital region , 2019, Research in Transportation Business & Management.

[7]  Tai-Yu Ma,et al.  Bayesian Networks for Multimodal Mode Choice Behavior Modelling: A Case Study for the Cross Border Workers of Luxembourg , 2015 .

[8]  Tai-Yu Ma,et al.  Mode choice with latent preference heterogeneity: a case study for employees of the EU institutions in Luxembourg , 2015 .

[9]  Joseph Y. J. Chow,et al.  A scalable non-myopic dynamic dial-a-ride and pricing problem , 2015 .

[10]  Joseph Y. J. Chow,et al.  Causal structure learning for travel mode choice using structural restrictions and model averaging algorithm , 2017 .

[11]  Joseph Y. J. Chow,et al.  A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers , 2018, Transportation Research Part E: Logistics and Transportation Review.

[12]  Tai-Yu Ma,et al.  Cross-border residential mobility, quality of life and modal shift: A Luxembourg case study , 2017 .

[13]  Tai-Yu Ma.  On-demand dynamic Bi-/multi-modal ride-sharing using optimal passenger-vehicle assignments , 2017, 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

[14]  Martin W. P. Savelsbergh,et al.  Optimization for dynamic ride-sharing: A review , 2012, Eur. J. Oper. Res..

[15]  Joseph Y. J. Chow,et al.  An agent-based day-to-day adjustment process for modeling ‘Mobility as a Service’ with a two-sided flexible transport market , 2017 .

[16]  Marilda Sotomayor,et al.  The Multiple Partners Game , 1992 .

[17]  Jean-Patrick Lebacque,et al.  A cross entropy based multiagent approach for multiclass activity chain modeling and simulation , 2013 .

[18]  Alexander Shapiro,et al.  Lectures on Stochastic Programming: Modeling and Theory , 2009 .

[19]  Gilbert Laporte,et al.  The dial-a-ride problem: models and algorithms , 2006, Ann. Oper. Res..

[20]  Joseph Ying Jun Chow,et al.  Non-myopic Relocation of Idle Mobility-on-Demand Vehicles as a Dynamic Location-Allocation-Queueing Problem , 2017 .

[21]  L. Shapley,et al.  The assignment game I: The core , 1971 .

[22]  Tai-Yu Ma,et al.  An integrated dynamic ridesharing dispatch and idle vehicle repositioning strategy on a bimodal transport network , 2018 .

[23]  Joseph Y. J. Chow,et al.  Route-cost-assignment with joint user and operator behavior as a many-to-one stable matching assignment game , 2017, Transportation Research Part B: Methodological.

[24]  Maged M. Dessouky,et al.  Online Cost-Sharing Mechanism Design for Demand-Responsive Transport Systems , 2015, IEEE Transactions on Intelligent Transportation Systems.