Latest revision as of 16:03, 12 February 2021

Abstract

Uncertainty on traffic forecasts may have an impact on reimbursement scheduling for investment, as well as for scenarios for operating costs. Even the best projections are based on models and assumptions, thus raising the question of their accuracy. Indeed, long term investments are risky and it is important to cope with uncertainty. This paper deals with the uncertainty on a long term projection with an Age-Cohort approach. The authors used the jackknife technique to estimate confidence intervals and observe that the demographic approach outlines the structural determinants for long term trends of mobility.

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The different versions of the original document can be found in:

• http://dx.doi.org/10.1016/s0386-1112(14)60241-7 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/

• https://doi.org/10.1016/s0386-1112(14)60241-7 under the license cc-by-nc-nd

• https://api.elsevier.com/content/article/PII:S0386111214602417?httpAccept=text/xml,

https://api.elsevier.com/content/article/PII:S0386111214602417?httpAccept=text/plain,

http://dx.doi.org/10.1016/s0386-1112(14)60241-7 under the license https://www.elsevier.com/tdm/userlicense/1.0/

• https://trid.trb.org/view/913121,

https://www.sciencedirect.com/science/article/pii/S0386111214602417,

http://www.trans.civil.nagoya-u.ac.jp/~yamamoto/Collaboration/SAKURA/Uncertainty.pdf,

[=citjournalarticle_183402_12 https://www.safetylit.org/citations/index.php?fuseaction=citations.viewdetails&citationIds[]=citjournalarticle_183402_12],

https://academic.microsoft.com/#/detail/1530632899