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June 19, 2026Letters in Spatial and Resource SciencesOpen Access

Modeling commuter mobility in Stockholm: a spatial panel approach using mobile phone data

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Authors

MTMarina TogerUTUmut TürkJÖJohn Östh

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Overview

Randomized trial examines determinants of commuter mobility in regions of Stockholm, highlighting implications for regional policies.

Key Points

  • This study aims to identify the sociodemographic and socioeconomic factors influencing commuter mobility in Greater Stockholm.
  • Utilized a heteroscedastic spatial Durbin panel data model with Bayesian Markov Chain Monte Carlo methods.
  • Analyzed mobile phone-derived origin-destination flows from the MIND database across 675 regions from 2018 to 2023.
  • Implemented a k-nearest neighbor spatial weight matrix to capture interregional connectivity.
  • Spatial spillovers predominantly influence commuter mobility compared to direct effects.
  • Educational attainment and car ownership are identified as key determinants of commuter mobility.
  • Age composition shows a comparatively modest impact on mobility.

Cite This Study

Toger et al. (2026) studied this question.

synapsesocial.com/papers/6a34dd1d65a5b0777af2d05chttps://doi.org/10.1007/s12076-026-00441-6
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