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Toward a better understanding of the intervening opportunities model
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  • 2008Modeling network autocorrelation within migration flows by eigenvector spatial filtering151 cited
  • 1993Urban Trip Distribution in Practice. I: Conventional Analysis33 cited
  • 2024How to incorporate machine learning and microsimulation tools in travel demand forecasting in multi-modal networks26 cited
  • 2009Modelling local rail demand in South Wales20 cited
  • 2024Generating sparse origin–destination flows on shared mobility networks using probabilistic graph neural networks18 cited
  • 2025A review of human mobility: Linking data, models, and real-world applications17 cited
  • 2008A Trip Distribution Model Involving Spatial and Dominance Attributes13 cited
  • 1970A Preferencing Model for Trip Distribution11 cited
  • 1971Research into the urban traveller's behaviour11 cited
  • 2024A generalized vector-field framework for mobility9 cited
  • 2021A physiological model of human mobility: A global study8 cited
  • 2019Subnetwork Origin-Destination Matrix Estimation Under Travel Demand Constraints8 cited
  • 1993A maximum likelihood estimator for the intervening opportunities model5 cited
  • 1977Spatial aggregation bias in trip distribution probabilities: The case of the opportunity model

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5 cited