City Logistics for Sustainable and Liveable Cities, Volume 2.

Detalles Bibliográficos
Autor principal: Taniguchi, Eiichi
Otros Autores: Thompson, Russell G.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2018.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Half-Title Page; Title Page; Copyright Page; Contents; Preface; 1. Urban Logistics Spaces: What Models, What Uses and What Role for Public Authorities?; 1.1. Introduction; 1.2. Literature review; 1.3. ULS typology; 1.3.1. The Urban Logistics Zone (ULZ) or freight village; 1.3.2. The Urban Distribution Center (UDC); 1.3.3. Vehicle Reception Points (VRP); 1.3.4. Goods Reception Points (GRP); 1.3.5. The Urban Logistics Box (ULB); 1.3.6. Mobile Urban Logistics Spaces (mULS); 1.4. Recommendations; 1.5. Conclusion; 1.6. Bibliography; 2. Dynamic Management of Urban Last-Mile Deliveries.
  • 2.1. Introduction2.2. Review of urban freight loading bay problems and solutions; 2.3. Information system for dynamic management of urban last-mile deliveries; 2.4. Algorithm for dynamic management of urban freight deliveries; 2.5. Application of the model to a real case; 2.6. Conclusions; 2.7. Bibliography; 3. Stakeholders' Roles for Business Modeling in a City Logistics Ecosystem: Towards a Conceptual Model; 3.1. Introduction; 3.2. Research background; 3.2.1. Business model concept; 3.2.2. Business ecosystem; 3.2.3. Role-based networks and ecosystems.
  • 3.3. The CL business model framework: roles, business entities and value exchanges3.4. City logistics concepts and role assignment; 3.4.1. Parcel lockers installation: MyPUP; 3.4.2. Urban consolidation centers; 3.4.3. Business model implications; 3.5. Conclusions; 3.6. Bibliography; 4. Establishing a Robust Urban Logistics Network at FEMSA through Stochastic Multi-Echelon Location Routing; 4.1. Introduction; 4.2. Strategic distribution network design; 4.2.1. Distribution network; 4.2.2. Network cost; 4.2.3. Distribution cost; 4.2.4. Optimization model; 4.3. Solution scheme.
  • 4.3.1. Scenario generation and selection4.3.2. Design generation; 4.3.3. Design evaluation; 4.4. Case study; 4.4.1. Data and parameters; 4.4.2. Analysis results; 4.5. Results; 4.5.1. Design generation; 4.5.2. Design evaluation; 4.5.3. Sensitivity to cost of lost sales; 4.6. Conclusion; 4.7. Bibliography; 5. An Evaluation Model of Operational and Cost Impacts of Off-Hours Deliveries in the City of São Paulo, Brazil; 5.1. Introduction; 5.2. Literature review; 5.3. Proposed approach; 5.4. Scenario generation; 5.5. Results; 5.6. Concluding remarks; 5.7. Bibliography.
  • 6. Application of the Bi-Level Location-Routing Problem for Post-Disaster Waste Collection6.1. Introduction; 6.2. Model formulation; 6.3. Solution algorithm; 6.3.1. Genetic Algorithms; 6.3.2. Greedy Algorithm; 6.3.3. Simulated Annealing; 6.4. Case study; 6.4.1. Case study area; 6.5. Result analysis; 6.5.1. Models comparison; 6.5.2. Sensitivity analysis; 6.6. Conclusion; 6.7. Bibliography; 7. Next-Generation Commodity Flow Survey: A Pilot in Singapore; 7.1. Introduction; 7.2. Integrated commodity flow survey; 7.2.1. Overview; 7.3. Key survey features.

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