The Sustainable City IX 2014
DOI: 10.2495/sc140661
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An assessment of the accuracy of models in predicting railway traffic flows: a before and after study in Naples

Abstract: The relevant interactions among the various elements of a transportation system can be simulated with mathematical models. In literature there is a great number of applications of these models. They are generally estimated so as to reproduce the observed actual system conditions and then applied to predict the future system conditions due to possible changes in the supply system. But what is the reliability of these predictions? Very few studies have been conducted in order to verify the reliability of these m… Show more

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Cited by 11 publications
(6 citation statements)
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“…In this framework, project impacts on both mobility and transport networks were forecast using a system of mathematical models including travel demand models, public and private networks models, assignment and impact simulation models Bifulco et al, 2010;Cartenì et al, 2010).…”
Section: Quantitative Tools and Technical Analysesmentioning
confidence: 99%
“…In this framework, project impacts on both mobility and transport networks were forecast using a system of mathematical models including travel demand models, public and private networks models, assignment and impact simulation models Bifulco et al, 2010;Cartenì et al, 2010).…”
Section: Quantitative Tools and Technical Analysesmentioning
confidence: 99%
“…The model has also allowed to calculate all the synthetic indicators useful to evaluate the proposed design scenario and eventually integrate and/or modify them. The macroscopic simulation model was composed by a within-day static models with variable demand (for details see also [12,13]:…”
Section: Methodsmentioning
confidence: 99%
“…Definitely, the multi-criteria analysis generally allows a more reliable estimation of the non-users' impacts [78][79][80][81][82][83][84] (e.g., non-monetary externalities such as greenhouse gas emissions, naturalistic impacts, aesthetic quality) that are generally underestimated with cost-benefit analysis. On the other hand, cost-benefit analysis is a more standardized and less discretionary procedure (e.g., application of the national and/or the EU guidelines [85,86]) and it is commonly considered a "solid" evaluation method to reduce the risk of planning fallacy and minimize conflicts over decisions (enlarges the consensus).…”
Section: Literature Reviewmentioning
confidence: 99%