Consolidation in Urban Freight Transportation — Cost Allocation Models

In this paper, the focus is on the role of the municipality, as an enabler of a collaboration between freight forwarders and the municipality in which the consolidation of goods is considered as a means for goods flow improvement in urban freight transportation. We present a cost allocation model that is based on solution concepts from cooperative game theory, for allocating the operational costs associated with the collaboration. It is assumed that the municipality is willing to carry some cost to ensure a stable collaboration for the potential benefits received, e.g., reduced traffic congestion in the city. The model is applied to some illustrative examples, and the cost allocation results are discussed. It is shown that the role of the municipality may be decisive in achieving a stable collaboration between the freight forwarders, and further that the municipality does not necessarily need to contribute to covering the costs.

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DATA COLLECTION METHODOLOGIES IN URBAN FREIGHT TRANSPORTATION

Scientific Papers Collection of the Angarsk State Technical University ◽

10.36629/2686-7788-2021-1-1-103-107 ◽

2021 ◽

Vol 2021 (1) ◽

pp. 103-107

Author(s):

Ol'ga Lebedeva

Keyword(s):

Freight Transportation ◽

Main Task ◽

Reliable System ◽

Traffic Demand ◽

Urban Freight ◽

Freight Traffic ◽

Urban Freight Transport ◽

Demand Assessment ◽

Urban Freight Transportation ◽

Adequate Data

The well-known approaches to the process of modeling the demand in urban freight transportation in conditions of limited availability of adequate data are considered. The main task is to select a model for creating a reliable system for analyzing urban freight traffic. Demand assessment models were chosen as input data because they are the most representative for assessing urban freight transport performance.

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Ontology-based multi-agent system for urban freight transportation

International Journal of Urban Sciences ◽

10.1080/12265934.2014.920696 ◽

2014 ◽

Vol 18 (2) ◽

pp. 133-153 ◽

Cited By ~ 27

Author(s):

Nilesh Anand ◽

Ron van Duin ◽

Lori Tavasszy

Keyword(s):

Freight Transportation ◽

Multi Agent System ◽

Agent System ◽

Urban Freight ◽

Multi Agent ◽

Urban Freight Transportation

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Service-Oriented Cost Allocation for Business Intelligence and Analytics

International Journal of Systems and Service-Oriented Engineering ◽

10.4018/ijssoe.2017040103 ◽

2017 ◽

Vol 7 (2) ◽

pp. 40-57 ◽

Cited By ~ 1

Author(s):

Raphael Grytz ◽

Artus Krohn-Grimberghe

Keyword(s):

Business Intelligence ◽

Cost Estimation ◽

Cost Allocation ◽

Cost Evaluation ◽

Allocation Model ◽

Pricing Scheme ◽

Service Portfolio ◽

Service Oriented ◽

The Cost ◽

Cost Awareness

Quantifying and designing the cost pool generated by Business Intelligence and Analytics (BI&A) would improve cost transparency and invoicing processes, allowing a fairer, more exact allocation of costs to service consumers. Yet there is still no method for determining BI&A costs to provide a base for allocation purposes. While literature describes several methods for BI&A cost estimation on an ROI or resource-consumption level, none of these methods considers an overall approach for BI&A. To tackle this problem, the authors propose a service- oriented cost allocation model which calculates BI&A applications based on defined services, enabling a cost transfer to service consumers. This new approach specifies steps towards deriving a usable pricing scheme for an entire BI&A service portfolio – both for allocation purposes as well as improving cost evaluation of BI&A projects. Moreover, it increases customer understanding and cost awareness. Based on this approach, the authors introduce a BI&A value creation cycle which helps customers to use BI&A services cost-effectively.

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