Dresden 2020 – scientific programme

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 17: Traffic, Urban and Regional Systems I

SOE 17.5: Talk

Thursday, March 19, 2020, 17:00–17:15, GÖR 226

Efficient and resilient ride sharing by stop pooling — •Charlotte Lotze, Malte Schröder, and Marc Timme — Chair for Network Dynamics, Institute for Theoretical Physics and Center for Advancing Electronics Dresden (cfaed), TU Dresden

Mobility faces three main challenges: emissions, social inequality and congestion. One potential solution currently discussed to address these challenges is ride sharing, i.e. the combination of multiple similar trips of customers to the same vehicle.

Here we present basic dynamic implications of stop pooling -- a promising modification of door-to-door ride-sharing services. The main idea is to aggregate individual passenger's stop locations (e.g. have passengers walk a short distance to or from their stop) to save vehicle travel and stopping times and to thereby achieve a more efficient service. In a simple model, we quantify how efficiency increases as a function of both stop pooling radius and number of passengers per vehicle to estimate the impact of ride sharing with stop pooling on economic, sustainable, fair and resilient future mobility options. We also discuss potential positive consequences on sharability [1-3] and resilience. In conclusion, stop pooling may further optimize the benefits gained by the novel mobility option ride sharing.

[1] Santi P., et al. (2014) PNAS 111 : 13290-13294.

[2] Tachet R., et al. (2017) Sci. Rep. 7 : 42868.

[3] Molkenthin N., et al. (2019) arXiv : 1908.05929