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Published November 18, 2015 | Version v1

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., de Lapparent, M., & Bierlaire, M. (2015). Location choice with longitudinal WiFi data. Technical report TRANSP-OR 131002. Transport and Mobility Laboratory, ENAC, EPFL. Lausanne, Switzerland.

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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.