City Logistics: 2 Modeling and Planning Initiatives
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| Format: | Buch |
| Sprache: | English |
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Hoboken
John Wiley & Sons
2018
London ISTE Ltd 2018 |
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| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xvi, 376 Seiten Illustrationen, Diagramme |
| ISBN: | 9781786302069 |
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Datensatz im Suchindex
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Contents Preface. xv Chapter 1. Urban Logistics Spaces: What Models, What Uses and What Role for Public Authorities?. Danièle Patr and Florence Toiuer 1 1.1. Introduction. 1.2. Literature review. 1.3. LJLS 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 (rnULS) . 1.4. Recommendations. 1.5. Conclusion. 1.6. Bibliography.
Chapter 2. Dynamic Management of Urban Last-Mile Deliveries. Tomislav Letnik, Matej Mencinger and Stane Božičnik 2.1. Introduction. 2.2. 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 areal case. 2.6. Conclusions. 2.7. Bibliography. 1 2 4 4 6 9 12 13 15 18 19 20 23 23 25 26 29 32 33 34
vi City Logistics 2 Chapter 3. Stakeholders’ Roles for Business Modeling in a City Logistics Ecosystem: Towards a Conceptual Model. Giovanni Zenezini, J.H.R. van Duín, Lorant Tavasszy and Alberto De Marco 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 exchanges. 3.4. 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. Chapter 4. Establishing a Robust Urban Logistics Network at FEMSA through Stochastic Multi-Echelon Location Routing. André Snoeck, Matthias Winkenbach and Esteban E. Mascarino 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 selection. 4.3.2. 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. Sensitivit}1 to cost of lost sales. 4.6. Conclusion. 4.7. Bibliography. 39 39 41 41 42 43 43 48 48 51 54 55 56 59 59 62 63 63 64 65 67 67 68 68 68 69 70 71 71 72 73 75 75
Contents Chapter 5. An Evaluation Model of Operational and Cost Impacts of Off-Hours Deliveries in the City of São Paulo, Brazil. Claudio В. Cunha and Hugo T.Y. Yoshizaki 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. Chapter 6. Application of the Bi-Level Location-Routing Problem for Post-Disaster Waste Collection. Cheng Cheng, Russell G. Thompson, Alysson M. Costa and Xiang Huang 6.1. 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. Chapter 7, Next-Generation Commodity Flow Survey: A Pilot in Singapore. Lynette Cheah, Fang Zhao, Monique Stinson, Fangping Lu, Jing Ding-Mastera, Vittorio Marzano, and Moshe Ben-Akiva 7.1.
Introduction. 7.2. Integrated commodity flow survey. 7.2.1. Overview. 7.3. Key survey features. 7.3.1. Sampling related supply network entities. 7.3.2. Multiple survey instruments leveraging sensing technologies. 7.3.3. A unified web-based survey platform. vii 79 79 81 84 87 90 94 94 97 97 99 104 104 105 106 106 106 109 109 Ill 113 114 117 117 119 119 121 121 121 122
viii City Logistics 2 7.4. Pilot survey implementation. 7.4.1. Sample design and recruitment. 7.4.2. Shipment and vehicle tracking methods. 7.4.3. Pilot survey experience and lessons learnt. 7.4.4. Preliminary data analysis. 7.5. Conclusion. 7.6. Acknowledgements. 7.7. Bibliography. Chapter 8. City Logistics and Clustering: Impacts of Using HDI and Taxes. Rodrigo Barros Castro, Daniel Merchán, Orlando Fontes Lima Jr and Matthias Winkenbach 123 124 125 126 127 129 129 130 131 8.1. Introduction. 8.2. Methodology. 8.2.1. Principal component analysis. 8.2.2. К-means
clustering. 8.3. Results. 8.4. Conclusion. 8.5. Bibliography. 131 133 135 135 135 140 140 Chapter 9. Developing a Multi-Dimensional Poly-Parametric Typology for City Logistics. Paulus Aditjandra and Thomas Zunder 143 9.1. Introduction. 9.2. Literature review. 9.3. Methodology. 9.4. Evaluation and analysis. 9.4.1. Inventory of all EU projects. 9.4.2. Inventory of typologies. 9.4.3. Land use ty pologies. 9.4.4. Measure typologies.
9.4.5. Urban freight markets. 9.4.6. Traffic flow typology. 9.4.7. Impacts. 9.4.8. Gaps. 9.5. Validation and enhancement of the inventory. 9.6. Proposed typology. 9.6.1. Approach. 9.6.2. Dimension: Why?. 143 144 145 146 146 147 148 149 151 152 153 153 154 155 155 157
Contents ix 9.6.3. Dimension: Where?. 9.6.4. Dimension: Who?. 9.6.5. Dimension: What?. 9.6.6. Dimension: How?. 9.7. Reflections. 9.8. Conclusion. 9.9. Acknowledgements. 9.10. Bibliography. 157 158 158 159 159 160 160 160 Chapter 10. Multi-agent Simulation with Reinforcement Learning for Evaluating a Combination of City Logistics Policy Measures. Eiichi Taniguchi, Ali Gul Qureshi and Kyosuke Konda 165 10.1. Introduction. 10.2. Literature review. 10.3. Models. 10.4. Case studies in Osaka and
Motomachi. 10.4.1. Settings. 10.4.2. Results. 10.5. Conclusion. 10.6. Bibliography. 165 166 166 168 168 170 175 176 Chapter 11. Decision Support System for an Urban Distribution Center Using Agent-based Modeling: A Case Study of Yogyakarta Special Region Province, Indonesia. Bertha Maya Sopha, Anna Maria Sri Аѕш, Hanif Arkan Nurdiansyah and Rahma Maulida 11.1. Introduction. 11.2. Theoretical background. 11.2.1. Urban distribution center. 11.2.2. Decision support system of city logistics. 11.3. The proposed decision support system. 11.3.1. System characterization. 11.3.2. The logical
architecture. 11.3.3. Agent-based modeling (ABM) . 11.3.4. Model verification and validation. 11.4. Example of application: the case of Yogyakarta Special Region. 11.5. Conclusion. 11.6. Acknowledgements. 11.7. Bibliography. 179 179 182 182 183 184 184 185 187 190 191 192 193 194
x City Logistics 2 Chapter 12. Evaluating the Relocation of an Urban Container Terminal. 197 Johan W. Joubert 12.1. Introduction. 12.2. Methodolog}. 12.2.1. MATSim. 12.2.2. Initial demand. 12.2.3. Alternative scenarios. 12.3. Results. 12.3.1. Directly affected vehicles. 12.3.2. Extended effects. 12.4. Conclusion. 12.5. Acknowledgements. 12.6. Bibliography. 197 199 199 200 201 201 202 205 208 209 209 Chapter 13. Multi-Agent Simulation Using Adaptive Dynamic Programing for Evaluating Urban
Consolidation Centers. Nailah Firdausiyah, Eiichi Taniguchi and Ali Gul Qureshi 211 13.1. Introduction. 13.2. Literature review. 13.2.1. Evaluation models for city logistics measures. 13.2.2. ADP for evaluating cit}՜ logisticsmeasures. 13.3. Models. 13.3.1. Freight carrier’s MAS-ADP model. 13.3.2. Freight carrier’s MAS Q-leaming model. 13.3.3. Vehicle routing problem with soft time windows (VRPSSTW). 13.4. Case study. 13.5. Resufts and discussions. 13.5.1. Case 0 (base case) . 13.5.2. Casei. 13.6. Conclusion and future work. 13.7.
Bibliography. Chapter 14. Use Patterns and Preferences for Charging Infrastructure for Battery Electric Vehicles in Commercial Fleets in the Hamburg Metropolitan Region. Christian Blusch, Heike Flämig and Sören Christian Trümper 14.1. Introduction. 14.2. State of the art/context of study. 14.3. Research goal and approach. 211 212 212 213 214 215 217 218 220 221 222 223 226 226 229 229 230 231
Contents 14.4. Method of data collection. 14.5. Results and discussion. 14.6. Conclusions. 14.7. Acknowledgements. 14.8. Bibliography. Chapter 15. The Potential of Light Electric Vehicles for Specific Freight Flows: Insights from the Netherlands. Susanne Balm, Ewoud Moolenburgh, Nilesh Anand and Walther Ploos van Amstel xi 232 232 237 238 238 241 15.1. Introduction. 15.2. Definition of LEFV. 15.3. State of the art. 15.4. Methodoiogy. 15.5. Potential of LEFV for different freight flows. 15.5.1. Selection of freight flows. 15.5.2. Description of freight
flows. 15.5.3. Receivers’perspective. 15.6. Multi-criteria evaluation. 15.6.1. Setup. 15.6.2. Outcome. 15.7. Discussion. 15.8. Conclusion. 15.9. Acknowledgements. 15.10. Bibliography. 241 243 244 246 247 247 248 253 253 253 254 256 257 258 259 Chapter 16. Use of CNG for Urban Freight Transport: Comparisons Between France and Brazil. Leise Kelli de Oliveira and Diana Diziain 261 16.1. Introduction. 16.2. Brief literature review. 16.3. Methodology. 16.4.
Brazilian case. 16.5. French case. 16.6. Comparison of Brazilian and French experience. 16.7. Conclusion. 16.8. Acknowledgements. 16.9. Bibliography. 261 263 264 264 265 267 268 268 268
xii City Logistics 2 Chapter 17. Using Cost-Benefit Analysis to Evaluate City Logistics Initiatives: An Application to Freight Consolidation in Small- and Mid-Sized Urban Areas. 271 Johan Holmgren 17.1. Introduction. 17.2. Characteristics of city logistics and some terminology. 17.2.1. Efficiency in city logistics. 17.2.2. Evaluation methods. 17.3. Potential costs and benefits of implementing urban consolidation centers. 17.4. Coordinated freight distribution in Linköping. 17.5. Evaluating urban freight initiatives by cost-benefit analysis. 17.6. The problem of cost allocation. 17.7. Conclusion. 17.8. Bibliography. Chapter 18. Assumptions of Social Cost-Benefit Analysis for Implementing Urban Freight Transport Measures. Izabela Kotowska, Stanisław Iwan, Kinga Kdewska and Mariusz Jedliński 271 273 274 275 279 280
281 286 286 287 291 18.1. Introduction. 18.2. The assumptions for utilization of SCBA in city logistics. 18.2.1. External air pollution cost. 18.2.2. Marginal climate change costs. 18.2.3. Marginal accident costs. 18.2.4. Congestion costs. 18.2.5. Marginal external noise costs. 18.2.6. Employment growth and development of local economy. 18.2.7. Final calculations. 18.3. Conclusions. 18.4. Acknowledgements. 18.5. Bibliography. 291 295 296 299 301 302 304 305 308 310 310 310 Chapter 19. Barriers to the Adoption of an Urban Logistics Collaboration Process: A Case Study of the Saint-Etienne Urban Consolidation Centre. Kanyarat Nimtrakool, Jesus Gonzalez-Feliu and
Claire Capo 313 19.1. Introduction. 19.2. Background and theoretical framework. 19.2.1. The stakeholders in an urban logistics collaboration project. 19.2.2. Urban Consolidation Centre (UCC) as an organizational innovation. 19.2.3. Barriers in urban logistics projects. 313 315 315 316 318
Contents 19.3. Research methodology. 19.3.1. The research approach. 19.3.2. Qualitative study: selection of respondents. 19.3.3. Quantitative analysis: purpose and CBA methodology. 19.4. Results. 19.4.1. The UCC of Saint-Etienne: background and objectives. 19.4.2. Operation aspects. 19.4.3. The conditions of economic viability of Saint-Etienne’s UCC. 19.4.4. Barriers identified by stakeholders. 19.5. Conclusions. 19.6. Bibliography. Chapter 20. Logistics Sprawl Assessment Applied to Locational Planning: A Case Study in Palmas (Brazil) . Lilian dos Santos Fontes Pereira Bracarense, Thiago Alvares Assis, Leise Kelli de Oliveira and Renata Lúcia Magalhães de Oliveira 20.1.
Introduction. 20.2. Logistics sprawl and the importance of logistics facilities’ location. 20.3. Methodolog}'. 20.4. Area of study. 20.4.1. Logistics sprawl assessment and scenario comparison. 20.5. Conclusion. 20.6. Acknowledgements. 20.7. Bibliography. Chapter 21. Are Cities’ Delivery Spaces in the Right Places? Mapping Truck Load/Unload Locations. Anne Goodchild, Barb Ivanov, Ed McCormack, Anne Moudon, Jason Scully, José Machado Leon and Gabriela Giron Valderrama 21.1. Introduction. 21.2. Moving more goods, more quickly. 21.3. Establishment of a well-defined partnership. 21.4. The Final 50 Feet
project. 21.5. Getting granular. 21.6. Mapping the city’s freight deliver}՛ infrastructure. 21.6.1. Step 1: collect existent data. 21.6.2. Step 2: develop survey to collect freight bay and loading dock data. xiii 320 320 320 321 322 322 323 324 326 328 328 333 333 334 335 339 342 347 348 348 351 351 352 353 354 356 358 358 358
xiv City Logistics 2 21.6.3. Preliminary site visits. 21.6.4. Initial survey form and the pilot survey. 21.6.5. Step 3: implement the survey. 21.7. Research results. 21.8. Conclusion. 21.9. Bibliography. 359 360 363 366 368 368 List of Authors. 369 Index 375 |
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| spelling | Taniguchi, Eiichi 1951- (DE-588)1131825128 edt City Logistics 2 Modeling and Planning Initiatives Hoboken John Wiley & Sons 2018 London ISTE Ltd 2018 xvi, 376 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier City-Logistik (DE-588)4474079-7 gnd rswk-swf City-Logistik (DE-588)4474079-7 s DE-604 Thompson, Russell G. 1962- (DE-588)1131826124 edt (DE-604)BV045875475 2 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031258714&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | City Logistics |
| title_auth | City Logistics |
| title_exact_search | City Logistics |
| title_full | City Logistics 2 Modeling and Planning Initiatives |
| title_fullStr | City Logistics 2 Modeling and Planning Initiatives |
| title_full_unstemmed | City Logistics 2 Modeling and Planning Initiatives |
| title_short | City Logistics |
| title_sort | city logistics modeling and planning initiatives |
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| topic_facet | City-Logistik |
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