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Forecast of Transport Demand Effects of Longer Trucks in Germany

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Advances in Production, Logistics and Traffic (ICPLT 2019)

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Abstract

In 2012 the German Federal Government started a five-year field trial with longer trucks. One scientific project focused on empirical data of the logistic and transport processes as well as the modelling of future mileage and market shares of longer trucks. Based on predefined scenarios, potential areas of application and accessible routes for longer trucks were determined using a likelihood approach with particular attention to the different definitions of a ‘longer truck suitable road network’. In a second step, empirical data covering logistic characteristics collected from participating carriers and forwarders were integrated into a sophisticated transport model in order to estimate transport demand effects and emissions of air pollutants as well as greenhouse gases stemming from longer trucks in normal business operations. Analysis of the traffic demand modelling for the scenarios shows for the reference years 2014 and 2030 that due to logistical constraints and requirements, only a small part of all German heavy good vehicle-km (from 0.03% up to 0.25%) and even a smaller part of all rail/inland waterway transport performance (from 0.05‰ up to 0.3‰) are estimated to be actually shifted to longer trucks.

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Acknowledgements

The research work presented in this paper was carried out during the scientific monitoring of the German field test on longer trucks between 2012 and 2016. This paper is inspired by two R&D projects (FE-Nr. 89.0273/2012; 89.0315/2015) financed by the Federal Ministry of Transport and Digital Infrastructure (BMVI) and commissioned by the Federal Highway Research Institute (BASt). Responsibility for the content of this paper lies with the authors.

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Correspondence to Robert Burg .

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Burg, R., Neumann, E., Bühne, JA., Irzik, M. (2019). Forecast of Transport Demand Effects of Longer Trucks in Germany. In: Clausen, U., Langkau, S., Kreuz, F. (eds) Advances in Production, Logistics and Traffic. ICPLT 2019. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-030-13535-5_14

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  • DOI: https://doi.org/10.1007/978-3-030-13535-5_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-13534-8

  • Online ISBN: 978-3-030-13535-5

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