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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 10: Transport, Regional and Urban Dynamics

SOE 10.1: Talk

Wednesday, March 24, 2021, 13:00–13:20, SOEa

Adaptive Stop-Pooling for Sustainable Shared Mobility? — •Charlotte Lotze, Malte Schröder, and Marc Timme — Chair for Network Dynamics, Institute for Theoretical Physics and Center for Advancing Electronics Dresden (cfaed), TU Dresden

Ride-sharing -- the bundling of simultaneous trips of several people in one vehicle -- may help us to reduce the carbon footprint of human mobility [1,2]. Ride-sharing trades reduced total route traveled by vehicles for increased passenger travel times. Yet standard door-to-door ride sharing services come with the burden of many stops and detours to pick up individual passengers. Requiring some passengers to walk to nearby shared stops may reduce detours yet may become inefficient if spatio-temporal demand patterns do not well fit the stop locations. Here, we present a simple model of adaptive, on-demand stop pooling and analyze its influence on the performance of ride-sharing services. We find counteracting effects of stop pooling on the number of and distance between stops, inducing a roughly constant route length despite stop pooling benefits. Intriguingly, however, stop pooling also reduces the average travel time although passengers walk parts of their trip. Stop pooling may thus break the trade-off between route lengths and travel times. We conclude, that dynamic stop pooling could enable higher sustainability and service quality simultaneously, potentially also in real world ride sharing systems. References: [1] Molkenthin et al., Scaling Laws of Collective Ride-Sharing Dynamics, Phys. Rev. Lett. 125:248302 (2020); [2] Storch et al., Incentive-driven discontinuous transition to high ride-sharing adoption, arXiv:2008.11079 (2020).