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Peak Car effects on scheme appraisal

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dc.contributor.author Σπηλιοπούλου, Χριστίνα el
dc.contributor.author Spiliopoulou, Christina en
dc.date.accessioned 2015-04-01T10:16:51Z
dc.date.available 2015-04-01T10:16:51Z
dc.date.issued 2015-04-01
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/40510
dc.identifier.uri http://dx.doi.org/10.26240/heal.ntua.3673
dc.description Εθνικό Μετσόβιο Πολυτεχνείο--Μεταπτυχιακή Εργασία. Διεπιστημονικό-Διατμηματικό Πρόγραμμα Μεταπτυχιακών Σπουδών (Δ.Π.Μ.Σ.) “Γεωπληροφορική” en
dc.rights Αναφορά Δημιουργού-Όχι Παράγωγα Έργα 3.0 Ελλάδα *
dc.rights.uri http://creativecommons.org/licenses/by-nd/3.0/gr/ *
dc.subject Μεταφορές el
dc.subject Προβλέψεις ζήτησης el
dc.subject Αξιολόγηση έργων el
dc.subject Σχελεδιασμός μεταφορών el
dc.title Peak Car effects on scheme appraisal en
heal.type masterThesis
heal.classification Transport el
heal.language en
heal.access free
heal.recordProvider ntua el
heal.publicationDate 2014-10
heal.abstract The phenomenon of peak car has been introduced among transport professionals and academics during the past decade. It is based on the analysis of a series of indicators related to car use and travel behaviour. It implies that the use of car, that has been increasing since its first appearance, will either drop or increase at a significantly decreased rate. The basic indicator examined behind this theory is the average distance travelled by car that has dropped in combination with a decreased number of driving licenses among young adults, mainly men. These trends have been observed to be similar in different countries of the world, implying a universal trend. Should peak car occur in the future, it will affect our current forecasting. This study focuses on the impact that peak car would have on scheme appraisal and specifically its economic impacts, should our current forecasts be proven to be wrong. It focuses on the example of an 80km section of the A12 that forms part of the strategic road network οf the U.K. The official scheme appraisal guidelines and best practice methods followed in the U.K. have been used and combined with a methodology that assesses the economic impact of inaccuracies in traffic forecasting. The results of this study reveal a significant additional cost if the current forecasting is proven to be wrong. A range of forecasting inaccuracies has been tested and it is shown that if they occur in the future, the basis on which decisions are done today will be out of date and the economic inaccuracies will be significant. It signifies the need to better investigate travel trends and incorporate a series of alternative scenarios in scheme appraisal to account for inaccuracies in the present forecasts. en
heal.advisorName Αντωνίου, Κωνσταντίνος el
heal.committeeMemberName Ψαριανός, Βασίλειος en
heal.committeeMemberName Σπυροπούλου, Ιωάννα en
heal.academicPublisher Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Αγρονόμων και Τοπογράφων Μηχανικών el
heal.academicPublisherID ntua
heal.numberOfPages 121 σ. el
heal.fullTextAvailability true


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