Modeling Commuter Mobility in Stockholm: A Spatial Panel Approach Using Mobile Phone Data
斯德哥尔摩通勤流动建模:基于手机数据的空间面板方法
This paper examines the sociodemographic and socioeconomic determinants of regional commuter mobility in the Greater Stockholm Area using a heteroscedastic spatial Durbin panel data model estimated via Bayesian Markov Chain Monte Carlo methods. Drawing on mobile phone-derived origin-destination flows from the MIND database, the analysis exploits unusually fine spatial and temporal granularity across a balanced panel of 675 regions over the period 2018-2023. A k-nearest…