A Multi-commodity Network Flow Model for Sustainable Performance Evaluation in City Logistics: Application to the Distribution of Multi-tenant Buildings in Tokyo
Autor: | Ali Gul Qureshi, Jean-Christophe Deschamps, Rémy Dupas, Eiichi Taniguchi |
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Přispěvatelé: | Université de Bordeaux (UB), The University of Tokyo (UTokyo), Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Linear programming
Computer science multi-tenant buildings lcsh:TJ807-830 Geography Planning and Development Transport network Pooling lcsh:Renewable energy sources Management Monitoring Policy and Law 12. Responsible consumption Transport engineering city logistics 0502 economics and business 11. Sustainability lcsh:Environmental sciences ComputingMilieux_MISCELLANEOUS freight distribution network lcsh:GE1-350 Sustainable development 050210 logistics & transportation urban consolidation centers Urban consolidation Renewable Energy Sustainability and the Environment lcsh:Environmental effects of industries and plants 05 social sciences linear programming [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Solver Flow network lcsh:TD194-195 network flow problem 050203 business & management |
Zdroj: | Sustainability Volume 12 Issue 6 Sustainability, MDPI, 2020, 12 (6), pp.2180. ⟨10.3390/su12062180⟩ Sustainability, Vol 12, Iss 6, p 2180 (2020) |
ISSN: | 2071-1050 |
DOI: | 10.3390/su12062180 |
Popis: | The distribution of goods in crowded city centers is a major challenge. In this paper, we propose a methodology for evaluating the performance of a parcel distribution network in city logistics. This methodology encompasses the main entities of a two-tier distribution system made up of carriers, huge shopping centers (multi-tenant buildings) and intermediate depots (urban consolidation centers), as well as the parcel flows between them. This methodology aims to optimize the transport flows (distance traveled) of a given distribution network while also quantifying the impact in terms of sustainable development by measuring gas emissions. Two different states of the network with different connectivity degrees are evaluated and compared: the current state of the network as well as its future state. The transport network modeling is based on a network flow, which is expressed in linear programming and implemented with an optimization solver. The validation of this methodology is based on the parcel distribution of the Multi-tenant Buildings of the city of Tokyo. The findings are that the network with greater connectivity between the entities brings significant traveled distance reduction as well as a reduction of emissions of CO2. Another finding is that the grouping of the parcels (i.e., pooling) brings a reduction of the distance traveled compared to the transport organization without grouping and contributes to a reduction in the number of trucks. |
Databáze: | OpenAIRE |
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