À propos

Ce projet est dévelopé dans le cadre du cours de sciences humaines et sociales Critial Data Studies à l’EPFL. Vous trouverez ici plus d’informations à propos du cours.

Ce projet a été réalisé par:

Les données utilisées sont:

Bibliographie:

  • Bollier, D. (2010). The promise and peril of big data. Aspen Inst.
  • Boyd, D., & Crawford, K. (2011). Six Provocations for Big Data. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1926431
  • Cao, W., Feng, X., Jia, J., & Zhang, H. (2019). Characterizing the Structure of the Railway Network in China : A Complex Weighted Network Approach. Journal of Advanced Transportation, 2019, 1‑10. https://doi.org/10.2139/ssrn.1926431
  • De Bona, A. A., Fonseca, K. V. O., Rosa, M. O., Lüders, R., & Delgado, M. R. B. S. (2016). Analysis of Public Bus Transportation of a Brazilian City Based on the Theory of Complex Networks Using the P-Space. Mathematical Problems in Engineering, 2016, 1‑12. https://doi.org/10.2139/ssrn.1926431
  • de Regt, R., von Ferber, C., Holovatch, Y., & Lebovka, M. (2019). Public transportation in UK viewed as a complex network. Transportmetrica A: Transport Science, 15(2), 722‑748. https://doi.org/10.1080/23249935.2018.1529837
  • Ducruet, C. (2010a). Les mesures globales d’un réseau.
  • Ducruet, C. (2010b). Les mesures locales d’un réseau.
  • Ducruet, C., & Lugo, I. (2011). Structure and dynamics of transportation networks : Models, methods and applications.
  • Erath, A., Löchl, M., & Axhausen, K. W. (2009). Graph-Theoretical Analysis of the Swiss Road and Railway Networks Over Time. Networks and Spatial Economics, 9(3), 379‑400. https://doi.org/10.1007/s11067-008-9074-7
  • Hennet, J.-C. (2008, mai 14). Rail 2000 : Décisions cruciales pour la Suisse romande et Berne. Le Temps. Disponible ici.
  • Humphries, M. D., & Gurney, K. (2008). Network ‘Small-World-Ness’ : A Quantitative Method for Determining Canonical Network Equivalence. PLoS ONE, 3(4), e0002051. https://doi.org/10.1371/journal.pone.0002051
  • Mohmand, Y. T., & Wang, A. (2014). Complex Network Analysis of Pakistan Railways. Discrete Dynamics in Nature and Society, 2014, 1‑5. https://doi.org/10.1155/2014/126261
  • Rail 2000. (s. d.). Portail Alptransit, Archives fédérales suisses. Disponible ici.
  • Rail 2000, un big bang pour la Suisse romande ? (2005, février 8). RTS. Disponible ici.
  • SBB Personenverkehr. (2018). Passengers boarding and alighting [Data set]. Open data platform mobility Switzerland. https://opentransportdata.swiss/fr/dataset/einundaus
  • SBB Personenverkehr. (2021). Timetable 2021 [Data set]. Open data platform mobility Switzerland. https://opentransportdata.swiss/fr/dataset/timetable-2021-gtfs2020
  • Seaton, K. A., & Hackett, L. M. (2004). Stations, trains and small-world networks. Physica A: Statistical Mechanics and its Applications, 339(3‑4), 635‑644. https://doi.org/10.1016/j.physa.2004.03.019
  • Soh, H., Lim, S., Zhang, T., Fu, X., Lee, G. K. K., Hung, T. G. G., Di, P., Prakasam, S., & Wong, L. (2010). Weighted complex network analysis of travel routes on the Singapore public transportation system. Physica A: Statistical Mechanics and Its Applications, 389(24), 5852‑5863. https://doi.org/10.1016/j.physa.2010.08.015
  • Transport data models comparative review. (2020, avril 20). Jungle Bus. Disponible ici.

This project is maintained by karimassi