Investigación

Proyectos

  1. TIME USE IN CHILE: NEW MODELING FRAMEWORKS AND SURVEY APPLICATION. Programa: FONDECYT INICIACION. Rol: Inv. Responsable | Folio/N°: 11180337 | 2018 – 2021
  2. TIME USE VALUATION USING DATA MINING TECHNIQUES. Programa: FONDECYT POSTDOCTORADO. Rol: Inv. Responsable | Folio/N°: 3160178 | 2015 – 2017
  3. IMPROVING AND INTEGRATING THE ANALYSES OF USERS BEHAVIOR, NETWORK COSTS, SYSTEM DESIGN AND PRICING OF TRANSPORT SERVICES. Programa: FONDECYT REGULAR. Rol: Tesista | Folio/N°: 1120316 | 2012 – 2016
  4. IMPROVING AND INTEGRATING THE ANALYSES OF USERS BEHAVIOR, NETWORK COSTS, SYSTEM DESIGN AND PRICING OF TRANSPORT SERVICES. Programa: FONDECYT REGULAR. Rol: Personal técnico y/o de apoyo | Folio/N°: 1120316 | 2012 – 2016

Papers

• Fernandez-Crehuet, J.M., Rosales-Salas, J. & Navarro, P. (2019). A performance index of football teams: the Spanish case. Sport in Society, pp. 1-23. doi.org/10.1080/17430437.2019.1621841

• Fernandez-Crehuet, J.M., Rosales-Salas, J. & Cogollos, S.D. (2019). Country’s International Reputation Index. Corporate Reputation Review. doi.org/10.1057/s41299-019-00088-8

• Fernandez-Crehuet, J.M., Rosales-Salas, J., de Ramosa, S. (2019) State of health in the European Union: A European Health Index. Journal of Healthcare Quality Research, 34(6), pp. 308-313. doi.org/10.1016/j.jhqr.2019.07.001

• Fernandez-Crehuet, J.M., Rosales-Salas, J., Galindo Barragán, G. (2019). Construction and validation of an international reputation index: the European case. Regional Statistics, 9(2), pp. 105-129. doi.org/10.15196/RS090205

• Rosales-Salas, J., Maldonado, S., and Seret, A. (2018). Understanding time use via data mining: a clustering-based framework, Intelligent Data Analysis, 22(3), pp. 597-616. doi.org/10.3233/IDA-173708

• Rosales-Salas, J., and Jara-Díaz, S. (2017). A time allocation model considering external providers, Transportation Research Part B: Methodological, 100, pp. 175-195. doi.org/10.1016/j.trb.2017.01.019

• Jara-Díaz, S., and Rosales-Salas, J. (2017). Beyond Transport time: A review of Time Use Modelling, Transportation Research Part A: Policy and Practice, 97, pp. 209-230. doi.org/10.1016/j.tra.2017.01.022

• Jara-Díaz, S., and Rosales-Salas, J. (2015). Understanding time use: Daily or weekly data? Transportation Research Part A: Policy and Practice, 76, pp. 38-57. doi.org/10.1016/j.tra.2014.07.009


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