Erratum to "Supporting the design of railway systems by means of a Sobol variance-based sensitivity analysis" [Transp. Res. - Part C 34 (2013) 38-54] doi 10.1016/j.trc.2013.05.007;Supporting the design of railway systems by means of a Sobol variance-based sensitivity analysis

Transportation Research Part C: Emerging Technologies

Volumn 34, Issue , 2013, Pages 38-54

  Quaglietta, Egidio ^a   Punzo, Vincenzo ^b  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Cost effective design of railway systems; Microscopic simulation model; Sensitivity index; Variance decomposition; Variance based sensitivity analysis

Indexed keywords

COST BENEFIT ANALYSIS; COST EFFECTIVENESS; ENERGY UTILIZATION; INFRASTRUCTURE AS A SERVICE (IAAS); INVESTMENTS; RAILROAD TRANSPORTATION; RAILROADS; RAILS;

MICROSCOPIC SIMULATION MODELS; RAILWAY SYSTEM; SENSITIVITY INDICES; VARIANCE DECOMPOSITION; VARIANCE-BASED SENSITIVITY ANALYSIS;

SENSITIVITY ANALYSIS;

COMPUTER SIMULATION; COST-BENEFIT ANALYSIS; DECISION ANALYSIS; DECOMPOSITION ANALYSIS; DESIGN; PERFORMANCE ASSESSMENT; RAILWAY; SENSITIVITY ANALYSIS; TRANSPORTATION INFRASTRUCTURE; TRANSPORTATION PLANNING; TRANSPORTATION SYSTEM; VARIANCE ANALYSIS;

CAMPANIA [ITALY]; ITALY; NAPLES; NAPOLI [CAMPANIA];

EID: 84880385108     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2014.03.013     Document Type: Erratum

References (29)

1. Asano M., Takamasa I., Kuwhara M. Microscopic pedestrian simulation model combined with a tactical model for route choice behaviour. Transportation Research Part C 2010, 18(6):842-855.
2. Castillo E., Gallego I., Urena J.M., Coronado J.M. Timetabling optimization of a single railway track line with sensitivity analysis. TOP: An official Journal of the Spanish Society of Statics and Operations Research 2009, 17:256-287.
3. Cukier R.I., Fortuin C.M., Schuler K.E., Petsheck A.G., Schailbly J.H. Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. The Journal of Chemical Physics 1973, 26:1-42.
4. De-Los-Santos A., Laporte G., Mesa J.A., Perea F. Evaluating passenger robustness in a rail transit network. Transportation Research Part C 2012, 20(1):34-46.
5. Dicembre A., Ricci S. Railway traffic on high density urban corridors: capacity, signalling and timetable. Journal of Rail Transport Planning & Management 2011, 1(2):59-68.
6. Gill D.C., Goodmann C.J. Computer-based optimization techniques for mass transit railway signaling design. IEE Proceedings B, Electrical Power Applications 1992, 139(3):261-275.
7. Hansen I.A., Pachl J. Railway Timetable and Traffic: Analysis, Modelling and Simulation 2008, Eurail Press, Hamburg, Germany.
8. Homma T., Saltelli A. Importance measures in global sensitivity analysis of nonlinear models. Reliability Engineering and System Safety 1996, 52:1-17.
9. Jacques J., Lavergne C., Devictor N. Analysis in presence of model uncertainties and correlated inputs. Reliability Engineering and System Safety 2006, 91:1126-1134.
10. Jansen M.J.W. Analysis of variance designs for model output. Computer Physics Communications 1999, 117:35-43.
11. Jansen M.J.W., Rossing W.A.H., Daamen R.A. Monte Carlo estimation of uncertainty contributions from several independent multivariate sources. Predictability and Nonlinear Modelling in Natural Sciences and Economics 1994, 334-343. Kluwer Academic Publishers, Dordrecht. J. Gasmanand, G. van Straten (Eds.).
12. Law A.M. Simulation Modelling and Analysis 2007, McGraw Hill, New York. fourth ed.
13. Martinez B., Vitoriano A., Fernandez A., Cucala A.P. Statistical dwell time model for metro lines. WIT Transactions on the Built Environment 2007, 96:223-232.
14. Middelkoop D., Bouwmann M. Train network simulator for support of network wide planning of infrastructure and timetables. Computers in Railways VII 2000, 267-276. WIT Press, Southampton. J. Allan, C.A. Brebbia, R.J. Hill, G. Sciutto, S. Sone (Eds.).
15. Middelkoop D., Bouwmann M. Testing the stability of the rail network. Computers in Railways VII 2002, 995-1002. WIT Press, Southampton. J. Allan, C.A. Brebbia, R.J. Hill, G. Sciutto, S. Sone (Eds.).
16. Odijk M. Sensitivity analysis of a railway station track layout with respect to a given timetable. European Journal of Operational Research 1999, 112:517-530.
17. Qi Z., Baoming H., Dewei L. Modelling and simulation of passenger alighting and boarding movement in Beijing metro stations. Transportation Research Part C 2008, 16(5):635-649.
18. Quaglietta, E., 2011. A Microscopic Simulation Model for Supporting the Design of Railway Systems: Development and Applications. PhD Thesis, University of Naples Federico II, Naples.
19. Saltelli A. Making best use of model evaluations to compute sensitivity indices. Computer Physics Communications 2002, 145:280-297.
20. Saltelli A., Tarantola S. On the relative importance of input factors in mathematical models: safety assessment for nuclear waste disposal. Journal of American Statistical Association 2002, 97:702-709.
21. Saltelli A., Tarantola S., Campolongo F., Ratto M. Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models 2004, John Wiley and Sons Ltd., Cheichester, England.
22. Saltelli A., Ratto M., Anres T., Campolongo F., Cariboni J., Gatelli D., Saisana M., Tarantola S. Global Sensitivity Analysis 2008, The Primer - John Wiley and Sons Ltd., Cheichester, England.
23. Saltelli A., Annoni P., Azzini I., Campolongo F., Ratto M., Tarantola S. Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Computer Physics Communications 2010, 181:259-270.
24. Sobol I.M. Uniformly distributed sequences with an additional uniform property. USSR Computational Mathematics and Mathematical Physics 1976, 16(5):236-242.
25. Sobol I.M. Global sensitivity indices for non-linear mathematical models and their Monte-Carlo estimates. Mathematics and Computers in Simulation 2001, 55:271-280.
26. Sobol I.M., Tarantola S., Gatelli D., Kucherenko S., Mauntz W. Estimating the approximation error when fixing unessential factors in global sensitivity analysis. Reliability Engineering and System Safety 2007, 92:957-960.
27. Theeg, G., Vlasenko, S., 2009. Railway Signalling and Interlocking International Compendium. Eurail Press.
28. www.ontime-project.eu (last accessed 14.05.12).
29. Yuan, J., 2006. Stochastic Modelling of Train Delays and Delay Propagation in Stations. PhD Thesis, Delft University of Technology.