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9781786302052 |
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eng |
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City logistics 1 : |
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new opportunities and challenges / |
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[edited by] Eiichi Taniguchi, Russell G. Thompson. |
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Hoboken, NJ : |
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Iste Ltd/John Wiley and Sons Inc., |
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2018. |
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1 online resource |
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| Formatted contents note |
TABLE OF CONTENTS<br/>Preface xv<br/><br/>Chapter 1. Recent Developments and Prospects for Modeling City Logistics 1<br/>Eiichi TANIGUCHI, Russell G. THOMPSON and Ali Gul QURESHI<br/><br/>1.1. Introduction 1<br/><br/>1.2. VRPTW with consideration of environment, energy efficiency and safetyh2<br/><br/>1.3. Multi-agent models 3<br/><br/>1.4. Big data analysis 4<br/><br/>1.5. Physical Internet 5<br/><br/>1.5.1. Movers 6<br/><br/>1.5.2. Nodes 6<br/><br/>1.5.3. Container loading 7<br/><br/>1.5.4. Cross-docking 7<br/><br/>1.6. Co-modality 8<br/><br/>1.7. Electric vehicles 12<br/><br/>1.8. Road network strengthening 13<br/><br/>1.9. Conclusions 15<br/><br/>1.10. Bibliography 16<br/><br/>Chapter 2. Light Commercial Vehicles (LCVs) in Urban Areas, Revisited 29<br/>Johan VISSER, Julian ALLEN, Michael BROWNE, José HOLGUÍN-VERAS and Juvena NG2.1.<br/><br/>Introduction 29<br/><br/>2.2. Terminology 30<br/><br/>2.3. Trends in the Netherlands 31<br/><br/>2.3.1. The number of LCVs is growing 31<br/><br/>2.3.2. Most LCVs are (not) used for logistics 32<br/><br/>2.3.3. LCVs are used mainly within urban areas 32<br/><br/>2.3.4. Due to Internet shopping, the number of LCVs in cities will increase but not with the same speed as the yearly growth of Internet shopping 33<br/><br/>2.3.5. Vans become bigger 33<br/><br/>2.3.6. Competition from the cargo bike 33<br/><br/>2.4. Trends in the United States 34<br/><br/>2.4.1. Historical estimates of LCV traffic (1960s) 34<br/><br/>2.4.2. Recent estimates of LCV traffic (2015) 35<br/><br/>2.5. Trends in the UK 37<br/><br/>2.5.1. LCVs journey purpose and fleet numbers by sector 38<br/><br/>2.5.2. Changes in size, weight and propulsion for LCVs in the UK 40<br/><br/>2.5.3. E-commerce and the rise in van numbers 40<br/><br/>2.6. Future 41<br/><br/>2.7. Conclusions 42<br/><br/>2.8. Bibliography 42<br/><br/>Chapter 3. Importance and Potential Applications of Freight and Service Activity Models 45<br/>José HOLGUIN-VERAS, Shama CAMPBELL, Carlos A. GONZÁLEZ-CALDERÓN, Diana RAMÍREZ-RÍOS, Lokesh KALAHASTHI, Felipe AROS-VERA, Michael BROWNE and Ivan SANCHEZ-DIAZ3.1.<br/><br/>Introduction 45<br/><br/>3.2. Urban economies and freight and service activity 47<br/><br/>3.3. Freight and service activity modeling 51<br/><br/>3.3.1. Survey data 52<br/><br/>3.3.2. Modeling approach 53<br/><br/>3.4. Practical uses of freight and service activity models 54<br/><br/>3.4.1. Identification of FTG patterns in metropolitan areas 55<br/><br/>3.4.2. FTG trends at the county level 57<br/><br/>3.4.3. FTG analyses to support development of freight model 58<br/><br/>3.4.4. Quantification of parking needs for a commercial center 58<br/><br/>3.5. Conclusions 59<br/><br/>3.6. Bibliography 60<br/><br/>Chapter 4. Toward Sustainable Urban Distribution Using City Canals: The Case of Amsterdam 65<br/>J.H.R. VAN DUIN, L.J. KORTMANN and M. VAN DE KAMP<br/><br/>4.1. Introduction 65<br/><br/>4.2. Literature review on waterborne urban freight transport 68<br/><br/>4.3. Conceptual model of distribution of the canal system 70<br/><br/>4.3.1. Freight 71<br/><br/>4.3.2. Freight vessels 71<br/><br/>4.3.3. Canals 72<br/><br/>4.3.4. Destinations (shops) and their final delivery 72<br/><br/>4.4. Specification of the model 72<br/><br/>4.4.1. Data collection and general modeling assumptions 73<br/><br/>4.4.2. Demand patterns 73<br/><br/>4.5. Verification and validation 74<br/><br/>4.5.1. Verification 75<br/><br/>4.5.2. Validation 75<br/><br/>4.6. Experiments 75<br/><br/>4.6.1. Overview and discussion of simulation experiments 76<br/><br/>4.6.2. Discussion of the main findings 78<br/><br/>4.7. Conclusions 79<br/><br/>4.8. Bibliography 80<br/><br/>Chapter 5. Effects of Land Use Policies on Local Conditions for Truck Deliveries 85<br/>Kazuya KAWAMURA and Martin MENNINGER<br/><br/>5.1. Introduction 85<br/><br/>5.2. Policy tools of land use and built environment 87<br/><br/>5.3. Research framework 89<br/><br/>5.3.1. Research hypothesis 89<br/><br/>5.3.2. Data 91<br/><br/>5.3.3. Truck Score 91<br/><br/>5.3.4. Analysis tools 94<br/><br/>5.4. Analysis results 96<br/><br/>5.4.1. Lane width 96<br/><br/>5.4.2. Access time to expressways 97<br/><br/>5.4.3. Truck parking citations 99<br/><br/>5.4.4. Truck Scores 100<br/><br/>5.5. Summary and conclusion 101<br/><br/>5.6. Bibliography 103<br/><br/>Chapter 6. Investigating the Benefits of Shipper-driven Collaboration in Urban Freight Transport and the Effects of Various Gain-sharing Methods 105<br/>Milena JANJEVIC, Ahmed AL FARISI, Alexis NSAMZINSHUTI and Alassane NDIAYE<br/><br/>6.1. Introduction 105<br/><br/>6.2. Methodology 107<br/><br/>6.3. Literature review 108<br/><br/>6.3.1. Models for horizontal collaboration in urban freight transport 108<br/><br/>6.3.2. Gain-sharing methodologies for horizontal collaboration 111<br/><br/>6.3.3. Modeling horizontal collaboration schemes in urban freight transport 113<br/><br/>6.4. Modeling horizontal collaboration in urban freight transport 113<br/><br/>6.4.1. Simulating a horizontal collaboration between shippers 113<br/><br/>6.4.2. Integrating different gain-sharing methods between shippers 116<br/><br/>6.5. Application to Brussels-Capital Region 117<br/><br/>6.5.1. Context 117<br/><br/>6.5.2. Results with regard to the benefits of the co-loading scheme 118<br/><br/>6.5.3. Analysis of different gain-sharing models 119<br/><br/>6.6. Conclusion 121<br/><br/>6.7. Bibliography 122<br/><br/>Chapter 7. The Future of City Logistics – Trends and Developments Leading toward a Smart and Zero-Emission System 125<br/>Hans QUAK, Robert KOK and Eelco DEN BOER7.1.<br/><br/>Introduction 125<br/><br/>7.1.1. Zero-emission logistics in city centers 126<br/><br/>7.1.2. Reducing city logistics’ carbon footprint to meet climate agreement 126<br/><br/>7.1.3. Dealing with diversity and inertia in city logistics 127<br/><br/>7.2. Research methodology and paper setup 128<br/><br/>7.3. Trends and developments in city logistics 130<br/><br/>7.3.1. More demanding customer 130<br/><br/>7.3.2. Increasing pressure for reduction of GHG emissions 130<br/><br/>7.3.3. Increased pressure for livability of cities 131<br/><br/>7.3.4. Circular economy 131<br/><br/>7.3.5. Connecting the physical world 131<br/><br/>7.3.6. Physical Internet and universal labeling 132<br/><br/>7.3.7. Robotization and automation 132<br/><br/>7.3.8. Vehicle drivetrain technology 133<br/><br/>7.4. Toward performance-based regulation 134<br/><br/>7.5. City logistics unraveled: different segments 135<br/><br/>7.5.1. General cargo 136<br/><br/>7.5.2. Temperature controlled logistics 137<br/><br/>7.5.3. Parcel and express mail 138<br/><br/>7.5.4. Facility logistics 138<br/><br/>7.5.5. Construction logistics 138<br/><br/>7.5.6. Waste collection 139<br/><br/>7.6. Developments’ impacts in city logistics segments 139<br/><br/>7.7. Conclusion 144<br/><br/>7.8. Acknowledgements 144<br/><br/>7.9. Bibliography 145<br/><br/>Chapter 8. A 2050 Vision for Energy-efficient and CO2-free Urban Logistics 147<br/>Martin RUESCH, Simon BOHNE, Thomas SCHMID, Philipp HEGI, Ueli HAEFELI, Tobias ARNOLD and Tobias FUMASOLI<br/><br/>8.1. Introduction 147<br/><br/>8.1.1. Starting point and challenges 147<br/><br/>8.1.2. Research objectives 148<br/><br/>8.1.3. Project phases and work packages 149<br/><br/>8.1.4. Research focus and boundaries 150<br/><br/>8.1.5. Research Framework 150<br/><br/>8.1.6. Focus of the chapter 151<br/><br/>8.2. Approach and methodology 151<br/><br/>8.3. Scenario development and analysis 154<br/><br/>8.3.1. Approach for scenario development 154<br/><br/>8.3.2. Scenario A: protection of natural resources 155<br/><br/>8.3.3. Scenario B: liberalization and technology orientation 155<br/><br/>8.3.4. Main features of the scenarios 156<br/><br/>8.3.5. Quantification of scenarios 156<br/><br/>8.4. 2050 vision targets 158<br/><br/>8.5. 2050 vision for energy-efficient and CO2-free urban logistics 159<br/><br/>8.5.1. 2050 vision development process vision elements 159<br/><br/>8.5.2. 2050 vision for energy-efficient and CO2-free urban logistics 161<br/><br/>8.5.3. Vision impact 163<br/><br/>8.6. Conclusions and outlook 165<br/><br/>8.7. Acknowledgements 166<br/><br/>8.8. Bibliography 166<br/><br/>Chapter 9. Assessing the Impact of a Low Emission Zone on Freight Transport Emission 169<br/>Christophe RIZET<br/><br/>9.1. Introduction 169<br/><br/>9.1.1. Freight fleets and their changes 171<br/><br/>9.2. Changes in emissions in the Paris area according to scenarios 179<br/><br/>9.3. Conclusion 183<br/><br/>9.4. Bibliography 185<br/><br/>Chapter 10. Long-Term Effects of Innovative City Logistics Measures 189<br/>Tariq VAN ROOIJEN, Don GUIKINK and Hans QUAK<br/><br/>10.1. Introduction 189<br/><br/>10.2. Data and methodology 192<br/><br/>10.3. General long-term effects of CIVITAS II city logistics measures 193<br/><br/>10.4. Case studies of city logistics measures in CIVITAS PLUS 195<br/><br/>10.4.1. Case study 1: Cargohopper 195<br/><br/>10.4.2. Case study 2: Beer Boat 200<br/><br/>10.5. Analysis 205<br/><br/>10.6. Conclusion 206<br/><br/>10.7. Acknowledgements 207<br/><br/>10.8. Bibliography 207<br/><br/>Chapter 11. Classification of Last-Mile Delivery Models for e-Commerce Distribution: A Global Perspective 209<br/>Matthias WINKENBACH and Milena JANJEVIC<br/><br/>11.1. Introduction 209<br/><br/>11.2. Scope of the study 211<br/><br/>11.3. Literature review 211<br/><br/>11.4. Characterizing the operational setups of delivery models 212<br/><br/>11.4.1. Groups of variables defining last-mile e-commerce delivery models observed in case studies 213<br/><br/>11.4.2. Relationships between characteristic variables 214<br/><br/>11.5. Classification of last-mile delivery models in e-retail 216<br/><br/>11.5.1. Delivery model archetype 1: direct non-priority home/near-home or workplace deliveries 217<br/><br/>11.5.2. Delivery model archetype 2: deliveries towards automatic lockers 219<br/><br/>11.5.3. Delivery model archetype 3: deliveries towards pick-up points 219<br/><br/>11.5.4. Delivery model archetype 4: delivery through a (micro-) consolidation center or urban depot 220<br/><br/>11.5.5. Delivery model archetype 5: delivery through mobile warehouse 221<br/><br/>11.5.6. Delivery model archetype 6: home delivery using an intermediary transshipment point 221<br/><br/>11.5.7. Delivery model archetype 7: local e-fulfillment and same-day delivery through local specialists 222<br/><br/>11.5.8. Delivery model archetype 8: same-day delivery through hyperlocal inventory and process optimization 222<br/><br/>11.5.9. Delivery model archetype 9: same-day customer pick-up at local e-fulfillment centers 223<br/><br/>11.5.10. Delivery model archetype 10: delivery through local courier or crowdshipping networks 223<br/><br/>11.6. The importance of local context 224<br/><br/>11.7. Conclusion 225<br/><br/>11.8. Bibliography 225<br/><br/>Chapter 12. City Logistics with Collaborative Centers 231<br/>Serban RAICU, Raluca RAICU, Dorinela COSTESCU and Mihaela POPA12.<br/><br/>1.Introduction 231<br/><br/>12.2. Problem presentation 232<br/><br/>12.3. Transfer options between the collaborative centers 235<br/><br/>12.4. Mathematical model 240<br/><br/>12.5. Case study 242<br/><br/>12.6. Conclusion 247<br/><br/>12.7. Bibliography 248<br/><br/>Chapter 13. Exploring Criteria for Tendering for Sustainable Urban Construction Logistics 251<br/>Susanne BALM and Walther PLOOS VAN AMSTEL13.<br/><br/>1. Introduction 251<br/><br/>13.2. Construction logistics 252<br/><br/>13.2.1. Standardization 254<br/><br/>13.2.2. Model development 254<br/><br/>13.2.3. Traffic management and ITS 255<br/><br/>13.3. Tendering construction projects 256<br/><br/>13.4. Discussion and further research 259<br/><br/>13.4.1. Current research 259<br/><br/>13.5. Bibliography 260<br/><br/>Chapter 14. Observing Interactions Between Urban Freight Transport Actors: Studying the Construction of Public Policies 265<br/>Mathieu GARDRAT<br/><br/>14.1. Introduction 265<br/><br/>14.2. A diversity of approaches 266<br/><br/>14.3. Field of observation 267<br/><br/>14.4. Analysis framework and data collection method 267<br/><br/>14.5. Social interactions analysis: perceptions of urban freight 274<br/><br/>14.6. Explaining the policy-making obstacles 279<br/><br/>14.7. Conclusion 281<br/><br/>14.8. Bibliography 283<br/><br/>Chapter 15. Viewpoint of Industries, Retailers and Carriers about Urban Freight Transport: Solutions, Challenges and Practices in Brazil 287<br/>Leise Kelli DE OLIVEIRA, Paulo Renato DE SOUSA, Paulo Tarso Vilela DE RESENDE, Rafael Barroso DE OLIVEIRA and Renata Lúcia Magalhães DE OLIVEIRA<br/><br/>15.1. Introduction 287<br/><br/>15.2. Methodology 289<br/><br/>15.3 Results 290<br/><br/>15.3.1. City logistics solutions and stakeholders’ points of view 291<br/><br/>15.3.2. Solutions, challenges and current practices 295<br/><br/>15.4. Discussion of results 297<br/><br/>15.5. Conclusion 298<br/><br/>15.6. Acknowledgements 298<br/><br/>15.7. Bibliography 298<br/><br/>Chapter 16. Municipal Co-distribution of Goods: Business Models, Stakeholders and Driving Forces for Change 303<br/>Olof MOEN<br/><br/>16.1. Introduction 303<br/><br/>16.2. Business models 305<br/><br/>16.3. Stakeholders 308<br/><br/>16.4. Development 1999–2016 310<br/><br/>16.5. The Skåne survey 314<br/><br/>16.6. Driving forces for change 315<br/><br/>16.7. Conclusion 319<br/><br/>16.8. Bibliography 319<br/><br/>Chapter 17. Optimizing Courier Routes in Central Business Districts 325<br/>Russell G. THOMPSON, Lele ZHANG and Michael STOKOE<br/><br/>17.1. Introduction 325<br/><br/>17.2. Model development 326<br/><br/>17.3. Literature review 328<br/><br/>17.3.1. Bi-level optimization 328<br/><br/>17.3.2. Vehicle routing problem (traveling salesman problem) 329<br/><br/>17.3.3. Multi-objective optimization 329<br/><br/>17.4. Formulation 330<br/><br/>17.4.1. Notation 330<br/><br/>17.4.2. Assumptions 330<br/><br/>17.4.3. Costs 331<br/><br/>17.4.4. Bi-level programming formulation 331<br/><br/>17.5. Software development 332<br/><br/>17.5.1. Neighborhood generation procedures 333<br/><br/>17.6. Test network 333<br/><br/>17.7. Sydney central business district 335<br/><br/>17.8. Conclusion 338<br/><br/>17.9. Bibliography 339<br/><br/>Chapter 18. A Vehicle Routing Model Considering the Environment and Safety in the Vicinity of Sensitive Urban Facilities 343<br/>Ali Gul QURESHI, Eiichi TANIGUCHI And Go IWASE<br/><br/>18.1. Introduction 343<br/><br/>18.2. Modeling 345<br/><br/>18.3. Genetic algorithm 348<br/><br/>18.4. Experiment setup 349<br/><br/>18.5. Results and discussion 350<br/><br/>18.6. Conclusion 355<br/><br/>18.7. Bibliography 356<br/><br/>Chapter 19. Remote Assessment Sensor Routing: An Application for Waste Management 359<br/>Mehdi NOURINEJAD, Nico MALFARA, Matthew J. ROORDA<br/><br/>19.1. Introduction 359<br/><br/>19.2. Literature review 361<br/><br/>19.2.1. Vehicle routing 361<br/><br/>19.2.2. Inventory routing problem 363<br/><br/>19.2.3. State-of-practice in waste collection 363<br/><br/>19.2.4. State-of-the-art in waste collection 364<br/><br/>19.3. Remote assessment sensor routing problem (RASRP) 364<br/><br/>19.3.1. Approximate dynamic programing model (ADPM) 364<br/><br/>19.3.2. Benchmark models 369<br/><br/>19.4. Model analysis and evaluation 371<br/><br/>19.4.1. Analysis of the continuous approximation model 371<br/><br/>19.4.2. Analysis of the approximate dynamic programing model 374<br/><br/>19.5. Conclusions 375<br/><br/>19.6. Bibliography 376<br/><br/>Chapter 20. Can Routing Systems Surpass the Routing Knowledge of an Experienced Driver in Urban Deliveries? 381<br/>Jacques LEONARDI And Tadashi YAMADA<br/><br/>20.1. Introduction: problem understanding and issues, research hypotheses, objectives and key questions 381<br/><br/>20.2. Measures, approaches and method of the study and the trials 385<br/><br/>20.3. Test design 387<br/><br/>20.4. Results: Software A trial 390<br/><br/>20.4.1. Combination of pedestrian and street routing optimization 391<br/><br/>20.4.2. Grouping orders 392<br/><br/>20.4.3. Software B trial 394<br/><br/>20.5. Discussion and concluding remarks 395<br/><br/>20.6. Acknowledgements 398<br/><br/>20.7. Bibliography 398<br/><br/>List of Authors 401<br/><br/>Index 405<br/><br/>ABOUT |
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This volume of three books presents recent advances in modelling, planning and evaluating city logistics for sustainable and liveable cities based on the application of ICT (Information and Communication Technology) and ITS (Intelligent Transport Systems). It highlights modelling the behaviour of stakeholders who are involved in city logistics as well as planning and managing policy measures of city logistics including cooperative freight transport systems in public-private partnerships. Case studies of implementing and evaluating city logistics measures in terms of economic, social and environmental benefits from major cities around the world are also given. |
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https://onlinelibrary.wiley.com/doi/book/10.1002/9781119425519 |
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