Urban activity mining framework for ride sharing systems based on vehicular social networks

DOI10.1007/S11067-019-09452-XOpenAlexW2944432178WikidataQ127923385 ScholiaQ127923385MaRDI QIDQ2005769

Yanyan Li

Publication date: 8 October 2020

Published in: Networks and Spatial Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11067-019-09452-x

zbMATH Keywords

dynamic networksspatial data miningride sharingurban computingvehicular social networks

Mathematics Subject Classification ID

Statistics (62-XX) Operations research, mathematical programming (90-XX)

Related Items (1)

Analysing spatial intrapersonal variability of road users using point-to-point sensor data

Uses Software

• OpenStreetMap

Cites Work

• Spatial science and network science: review and outcomes of a complex relationship
• Graph-theoretical analysis of the Swiss road and railway networks over time
• Dynamics in the European air transport network, 2003--9: an explanatory framework drawing on stochastic actor-based modeling
• Incorporating ridesharing in the static traffic assignment model
• CONGESTION AND CENTRALITY IN TRAFFIC FLOW ON COMPLEX NETWORKS

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