Commuting patterns: the flow and jump model and supporting data

Autor: Levente Varga, Géza Tóth, Zoltán Néda
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: EPJ Data Science, Vol 7, Iss 1, Pp 1-13 (2018)
Druh dokumentu: article
ISSN: 2193-1127
DOI: 10.1140/epjds/s13688-018-0167-3
Popis: Abstract A simple model, named the flow and jump model (FJM) is used for describing commuter fluxes at different distances. The model is based on a master equation which allows a local net probability flow and non-local jumps. FJM is in principle a one-parameter model, however it is found that by fixing this parameter we get a parameter free model, similar with the radiation model. We find that FJM offers an improved description for commuting data from USA, Italy and Hungary. For a special choice of the model parameter FJM leads to the radiation model.
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