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This book presents the results of the study "Infrastructure
Capital, Maintenance and Road Damage Costs for Different Heavy
Goods Vehicles in the EU" which was commissioned by the European
Commission, DG VII. This study supported the preparation of the
white book on transport infrastructure charging. The study an
European consortium consisting of DIW (German has been conducted by
Institute for Economic Research, project leader and responsible for
the country reports for Germany, Belgium, the Netherlands,
Luxembourg and Sweden), INFRAS (responsible for the country reports
for Switzerland, Denmark, Portugal and Greece), Consultancy Dr.
Herry (responsible for the country reports for Austria, Finland,
France and Italy) and NERA (National Economic Research Associates,
responsible for the country reports for the UK, Ireland and Spain).
The project ran from November 1997 to March 1998 and was monitored
by a steering committee with representatives of the EU-member
states. This book is dealing with the calculation of costs for road
infrastructure and congestion and the allocation of these costs to
vehicle types. It focuses on heavy goods vehicles. This is a topic
of high relevance for transport policy both on the national and the
EU-Ievel with a long tradition of political and scientific debate.
The study contains a comprehensive methodological comparison of
existing models for calculating road capital values and capital
costs and for allocating infrastructure costs to vehicle types.
Das Lehrbuch ist aus Vorlesungen im Grund- und Hauptstudium fur
Wirtschaftler und Informatiker hervorgegangen. Ganz besonders
wendet sich das Lehrbuch an Studierende von interdisziplinaren
Studiengangen wie der Tourismus- und Verkehrswirtschaft, der
Wirtschaftsinformatik und des Wirtschaftsingenieurwesens. Es kann
daruber hinaus aber auch fur die Ausbildung von Betriebswirten und
Technikern eingesetzt werden. Aus dem Inhalt: Grundlagen
empirischer Haufigkeitsverteilungen. Einfuhrung in die
Wahrscheinlichkeitsrechnung. Schatzen und Teilen von Parametern
spezieller Verteilungen. Techniken zur Datenerhebung. Multivariate
statistische Verfahren. Losungen zu den Ubungsaufgaben."
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