Commuting patterns: the flow and jump model and supporting data

被引：0
作者：
Levente Varga
Géza Tóth
Zoltán Néda
机构：
[1] Babeş-Bolyai University,Department of Physics
[2] Hungarian Central Statistical Office,undefined
来源：
EPJ Data Science | / 7卷
关键词：
Human mobility models; Commuters data; Population density;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
相关论文
共 52 条
  • [1] Barbosa Hugo(2018)Human mobility: Models and applications Physics Reports 734 1-74
  • [2] Barthelemy Marc(1940)Intervening opportunities: a theory relating mobility and distance Am Sociol Rev 5 845-867
  • [3] Ghoshal Gourab(1960)Gravity and potential models in economic geography Ann Assoc Am Geogr 50 493-504
  • [4] James Charlotte R.(2012)A universal model for mobility and migration patterns Nature 484 96-100
  • [5] Lenormand Maxime(2014)Universal predictability of mobility patterns in cities J R Soc Interface 11 27-38
  • [6] Louail Thomas(2017)Universal model of individual and population mobility on diverse spatial scales Nat Commun 8 65-72
  • [7] Menezes Ronaldo(2013)Human mobility in a continuum approach PLoS ONE 8 253-269
  • [8] Ramasco José J.(2014)Predicting commuter flows in spatial networks using a radiation model based on temporal ranges Nat Commun 5 97-126
  • [9] Simini Filippo(2017)An improved radiation model and its applicability for understanding commuting patterns in Hungary Reg Statist 6 386-402
  • [10] Tomasini Marcello(2017)Gravity vs radiation model: two approaches on commuting in Greece Transp Res Proc 24 273-282
123456