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
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