Published November 18, 2015 | Version v2
Dataset Open

Location choice with longitudinal WiFi data: Research Data

  • 1. Ecole Polytechnique Fédérale de Lausanne (EPFL)

Description

This document describes the softwares, data, models and raw results associated to

Danalet, A., Tinguely, L., Lapparent, M. d. and Bierlaire, M. (2016). Location choice with longitudinal WiFi data, Journal of Choice Modelling 18: 1–17. URL: https://dx.doi.org/10.1016/j.jocm.2016.04.003

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References

  • Bierlaire, M. (2003). BIOGEME: a free package for the estimation of discrete choice models, Proceedings of the 3rd Swiss Transportation Research Conference, Monte Verità, Ascona, Switzerland.
  • Bierlaire, M. and Fetiarison, M. (2009). Estimation of discrete choice models: extend- ing BIOGEME., Swiss Transport Research Conference (STRC), Monte Verità, Ascona, Switzerland.
  • Danalet, A. (2015). A Bayesian Approach to Detect Pedestrian Destination-Sequences from WiFi Signatures: Data (Transp. Res. Part C, 2014).
  • Danalet, A., Farooq, B. and Bierlaire, M. (2014). A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures, Transportation Research Part C 44: 146– 170.
  • Danalet, A., Tinguely, L., de Lapparent, M. and Bierlaire, M. (2015). Location choice with longitudinal WiFi data, Technical report TRANSP-OR 151110, Submitted for pub- lication in the Journal of Choice Modeling, Transport and Mobility Laboratory, School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique Fédŕale de Lausanne, Lausanne, Switzerland.
  • Wooldridge, J. M. (2005). Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity, Journal of Applied Econo- metrics 20(1): 39–54.