| Title |
A game-theoretic multi-stakeholder model for cost allocation in urban consolidation centres |
| ID_Doc |
15330 |
| Authors |
Ciardiello, F; Genovese, A; Luo, SC; Sgalambro, A |
| Title |
A game-theoretic multi-stakeholder model for cost allocation in urban consolidation centres |
| Year |
2023 |
| Published |
Annals Of Operations Research, 324, 1-2 |
| DOI |
10.1007/s10479-021-04013-3 |
| Abstract |
Recently, many European local authorities have set up Urban Consolidation Centres (UCC) for dealing with challenges arising from the environmental and social impacts of logistical activities in urban contexts through shipment synchronisation and carrier coordination policies. However, the number of successful UCC projects led by local authorities in Europe is low, with most of the UCCs failing to achieve financial sustainability after the initial experimental phase, which is often heavily supported by public funds. In order to propose mechanisms that could favour the economic and financial sustainability of UCC systems, this research develops an adaptation of game-theoretic approaches to the problems of responsibility and cost allocation among stakeholders participating in a UCC delivery network. A solution based on the Shapley Value concept is employed to derive cost allocations; applications of the model to a real-world scenario are evaluated. An extensive sensitivity analysis shows that the proposed cost allocation rules can provide alternative arrangements, based on extended responsibility concepts, which can alleviate the burden on local authorities for the set up of UCCs. As such, results provide useful policy and practice implications on how to safeguard UCCs' viability under different scenarios, including the outsourcing of the last-mile deliveries. |
| Author Keywords |
Urban consolidation centres; Urban logistics; Urban freight transport; Cost allocation; Shapley value; Sustainable urban logistics |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000635070900002 |
| WoS Category |
Operations Research & Management Science |
| Research Area |
Operations Research & Management Science |
| PDF |
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