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Commuting patterns: the flow and jump model and supporting data
EPJ Data Science ( IF 3.0 ) Pub Date : 2018-10-11 , DOI: 10.1140/epjds/s13688-018-0167-3
Levente Varga , Géza Tóth , Zoltán Néda

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.

中文翻译:

通勤模式:流程和跳转模型以及支持数据

一个简单的模型,称为流动和跳跃模型(FJM),用于描述不同距离的通勤通量。该模型基于一个主方程,该主方程允许局部净概率流动和非局部跳跃。FJM原则上是一个单参数模型,但是发现通过固定此参数,我们得到了一个无参数模型,类似于辐射模型。我们发现FJM为来自美国,意大利和匈牙利的通勤数据提供了改进的描述。对于模型参数的特殊选择,FJM会导致辐射模型。
更新日期:2018-10-11
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