Kellner, Florian 
Alternative Links zum Volltext:DOI
| Dokumentenart: | Artikel |
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| Titel eines Journals oder einer Zeitschrift: | International Journal of Logistics Research and Applications |
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| Verlag: | Taylor & Francis |
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| Ort der Veröffentlichung: | ABINGDON |
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| Band: | 19 |
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| Nummer des Zeitschriftenheftes oder des Kapitels: | 5 |
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| Seitenbereich: | S. 395-423 |
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| Datum: | 13 November 2015 |
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| Institutionen: | Wirtschaftswissenschaften > Institut für Betriebswirtschaftslehre > Lehrstuhl für Controlling und Logistik (Prof. Dr. Andreas Otto) |
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| Identifikationsnummer: | | Wert | Typ |
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| 10.1080/13675567.2015.1094043 | DOI |
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| Stichwörter / Keywords: | FREIGHT DISTRIBUTION; DISTRIBUTION COSTS; VEHICLE; INFORMATION; LENGTH; distribution network; road freight transportation; traffic congestion; road traffic; navigation service data |
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| Dewey-Dezimal-Klassifikation: | 300 Sozialwissenschaften > 330 Wirtschaft |
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| Status: | Veröffentlicht |
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| Begutachtet: | Ja, diese Version wurde begutachtet |
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| An der Universität Regensburg entstanden: | Ja |
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| Dokumenten-ID: | 32822 |
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Zusammenfassung
This research studies effects that the average increase in travel times due to road traffic congestion has on characteristics of an existing distribution network. It presents the most detailed estimate of on-the-road' effects on distribution network characteristics up to now, from the network modelling perspective and from the processed data point of view. A concrete network model allowing for ...
Zusammenfassung
This research studies effects that the average increase in travel times due to road traffic congestion has on characteristics of an existing distribution network. It presents the most detailed estimate of on-the-road' effects on distribution network characteristics up to now, from the network modelling perspective and from the processed data point of view. A concrete network model allowing for the representation of all relevant transportation flows is presented. The processed traffic information relies on navigation service data. The use of such data allows the requirements that arise for the traffic analysis of a whole distribution network to be met. It is shown that this data source may considerably contribute in forthcoming research. The effects of traffic congestion are quantified to get insights into the extent to which regular traffic congestion affects distribution network characteristics and to understand the mitigating effect when the number of distribution centres is increased.
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