Latest revision as of 11:12, 16 February 2021

Abstract

n important problem in the assessment of reliability benefits of transport projects is that link level improvements must be translated to network level, so that they can be economically valued based on users’ trips from origins to destinations. For intermodal transport, shipments follow a chain with more than one mode. Generally, this requires aggregation of travel time distributions that are not additive. We propose an approach that estimates the change in transport time reliability of an intermodal transport chain based on the changes for links of that chain. We demonstrate the framework of reliability assessment for a case study of network improvement for rail-truck intermodal transport in China. Also, we demonstrate the application in a cost-benefit analysis context with user valuations of transport reliabilities from the case at hand. The application leads to the result that projects for the renovation and expansion of the transshipment terminal perform better compared with project that improve rail haulage speed. Another finding is that the effect of reliability improvement projects can be super-additive at network level. In comparison with traditional methods, we conclude that the proposed method can better estimate transport time reliability benefits when the distribution of link travel times is highly skewed. Also, it opens new possibilities for further research for measuring correlated reliability measures within networks and for performing network resilience analysis.

Original document

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

• http://dx.doi.org/10.1016/j.retrec.2018.09.002

• http://resolver.tudelft.nl/uuid:a34f65cb-80c3-4097-9e38-818fae3b37ac

• http://resolver.tudelft.nl/uuid:a34f65cb-80c3-4097-9e38-818fae3b37ac,

http://dx.doi.org/10.1016/j.retrec.2018.09.002

• https://api.elsevier.com/content/article/PII:S0739885917303311?httpAccept=text/xml,

https://api.elsevier.com/content/article/PII:S0739885917303311?httpAccept=text/plain,

http://dx.doi.org/10.1016/j.retrec.2018.09.002 under the license https://www.elsevier.com/tdm/userlicense/1.0/

• https://www.sciencedirect.com/science/article/pii/S0739885917303311,

https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3Aa34f65cb-80c3-4097-9e38-818fae3b37ac,

https://ideas.repec.org/a/eee/retrec/v70y2018icp1-8.html,

https://academic.microsoft.com/#/detail/2895753379