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."