A Multi-Scale Entropy Approach to Study Collapse and Anomalous Diffusion in Shared Mobility Systems

Autor: Francisco Prieto Castrillo, ROSA MARIA BENITO ZAFRILLA, Javier Borondo, Rubén Martín García
Rok vydání: 2022
Předmět:
Zdroj: Scopus
Entropy; Volume 24; Issue 5; Pages: 606
ISSN: 1099-4300
Popis: In this paper, we study the phenomena of collapse and anomalous diffusion in shared mobility systems. In particular, we focus on a fleet of vehicles moving through a stations network and analyse the effect of self-journeys in system stability, using a mathematical simplex under stochastic flows. With a birth-death process approach, we find analytical upper bounds for random walk and we monitor how the system collapses by super diffusing under different randomization conditions. Using the multi-scale entropy metric, we show that real data from a bike-sharing fleet in the city of Salamanca (Spain) present a complex behaviour with more of a 1/f signal than a disorganized system with a white noise signal.
Databáze: OpenAIRE
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