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City Logistics 1. New Opportunities and Challenges. Edition No. 1

  • Book

  • 432 Pages
  • May 2018
  • John Wiley and Sons Ltd
  • ID: 4523401

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.

 

Table of Contents

Preface xv

Chapter 1. Recent Developments and Prospects for Modeling City Logistics 1
Eiichi TANIGUCHI, Russell G. THOMPSON and Ali Gul QURESHI

1.1. Introduction 1

1.2. VRPTW with consideration of environment, energy efficiency and safetyh2

1.3. Multi-agent models 3

1.4. Big data analysis 4

1.5. Physical Internet 5

1.5.1. Movers 6

1.5.2. Nodes 6

1.5.3. Container loading 7

1.5.4. Cross-docking 7

1.6. Co-modality 8

1.7. Electric vehicles 12

1.8. Road network strengthening 13

1.9. Conclusions 15

1.10. Bibliography 16

Chapter 2. Light Commercial Vehicles (LCVs) in Urban Areas, Revisited 29
Johan VISSER, Julian ALLEN, Michael BROWNE, José HOLGUÍN-VERAS and Juvena NG2.1.

Introduction 29

2.2. Terminology 30

2.3. Trends in the Netherlands 31

2.3.1. The number of LCVs is growing 31

2.3.2. Most LCVs are (not) used for logistics 32

2.3.3. LCVs are used mainly within urban areas 32

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

2.3.5. Vans become bigger 33

2.3.6. Competition from the cargo bike 33

2.4. Trends in the United States 34

2.4.1. Historical estimates of LCV traffic (1960s) 34

2.4.2. Recent estimates of LCV traffic (2015) 35

2.5. Trends in the UK 37

2.5.1. LCVs journey purpose and fleet numbers by sector 38

2.5.2. Changes in size, weight and propulsion for LCVs in the UK 40

2.5.3. E-commerce and the rise in van numbers 40

2.6. Future 41

2.7. Conclusions 42

2.8. Bibliography 42

Chapter 3. Importance and Potential Applications of Freight and Service Activity Models 45
José HOLGUIN-VERAS, Shama CAMPBELL, Carlos A. GONZÁLEZ-CALDERÓN, Diana RAMÍREZ-RÍOS, Lokesh KALAHASTHI, Felipe AROS-VERA, Michael BROWNE and Ivan SANCHEZ-DIAZ3.1.

Introduction 45

3.2. Urban economies and freight and service activity 47

3.3. Freight and service activity modeling 51

3.3.1. Survey data 52

3.3.2. Modeling approach 53

3.4. Practical uses of freight and service activity models 54

3.4.1. Identification of FTG patterns in metropolitan areas 55

3.4.2. FTG trends at the county level 57

3.4.3. FTG analyses to support development of freight model 58

3.4.4. Quantification of parking needs for a commercial center 58

3.5. Conclusions 59

3.6. Bibliography 60

Chapter 4. Toward Sustainable Urban Distribution Using City Canals: The Case of Amsterdam 65
J.H.R. VAN DUIN, L.J. KORTMANN and M. VAN DE KAMP

4.1. Introduction 65

4.2. Literature review on waterborne urban freight transport 68

4.3. Conceptual model of distribution of the canal system 70

4.3.1. Freight 71

4.3.2. Freight vessels 71

4.3.3. Canals 72

4.3.4. Destinations (shops) and their final delivery 72

4.4. Specification of the model 72

4.4.1. Data collection and general modeling assumptions 73

4.4.2. Demand patterns 73

4.5. Verification and validation 74

4.5.1. Verification 75

4.5.2. Validation 75

4.6. Experiments 75

4.6.1. Overview and discussion of simulation experiments 76

4.6.2. Discussion of the main findings 78

4.7. Conclusions 79

4.8. Bibliography 80

Chapter 5. Effects of Land Use Policies on Local Conditions for Truck Deliveries 85
Kazuya KAWAMURA and Martin MENNINGER

5.1. Introduction 85

5.2. Policy tools of land use and built environment 87

5.3. Research framework 89

5.3.1. Research hypothesis 89

5.3.2. Data 91

5.3.3. Truck Score 91

5.3.4. Analysis tools 94

5.4. Analysis results 96

5.4.1. Lane width 96

5.4.2. Access time to expressways 97

5.4.3. Truck parking citations 99

5.4.4. Truck Scores 100

5.5. Summary and conclusion 101

5.6. Bibliography 103

Chapter 6. Investigating the Benefits of Shipper-driven Collaboration in Urban Freight Transport and the Effects of Various Gain-sharing Methods 105
Milena JANJEVIC, Ahmed AL FARISI, Alexis NSAMZINSHUTI and Alassane NDIAYE

6.1. Introduction 105

6.2. Methodology 107

6.3. Literature review 108

6.3.1. Models for horizontal collaboration in urban freight transport 108

6.3.2. Gain-sharing methodologies for horizontal collaboration 111

6.3.3. Modeling horizontal collaboration schemes in urban freight transport 113

6.4. Modeling horizontal collaboration in urban freight transport 113

6.4.1. Simulating a horizontal collaboration between shippers 113

6.4.2. Integrating different gain-sharing methods between shippers 116

6.5. Application to Brussels-Capital Region 117

6.5.1. Context 117

6.5.2. Results with regard to the benefits of the co-loading scheme 118

6.5.3. Analysis of different gain-sharing models 119

6.6. Conclusion 121

6.7. Bibliography 122

Chapter 7. The Future of City Logistics – Trends and Developments Leading toward a Smart and Zero-Emission System 125
Hans QUAK, Robert KOK and Eelco DEN BOER7.1.

Introduction 125

7.1.1. Zero-emission logistics in city centers 126

7.1.2. Reducing city logistics’ carbon footprint to meet climate agreement 126

7.1.3. Dealing with diversity and inertia in city logistics 127

7.2. Research methodology and paper setup 128

7.3. Trends and developments in city logistics 130

7.3.1. More demanding customer 130

7.3.2. Increasing pressure for reduction of GHG emissions 130

7.3.3. Increased pressure for livability of cities 131

7.3.4. Circular economy 131

7.3.5. Connecting the physical world 131

7.3.6. Physical Internet and universal labeling 132

7.3.7. Robotization and automation 132

7.3.8. Vehicle drivetrain technology 133

7.4. Toward performance-based regulation 134

7.5. City logistics unraveled: different segments 135

7.5.1. General cargo 136

7.5.2. Temperature controlled logistics 137

7.5.3. Parcel and express mail 138

7.5.4. Facility logistics 138

7.5.5. Construction logistics 138

7.5.6. Waste collection 139

7.6. Developments’ impacts in city logistics segments 139

7.7. Conclusion 144

7.8. Acknowledgements 144

7.9. Bibliography 145

Chapter 8. A 2050 Vision for Energy-efficient and CO2-free Urban Logistics 147
Martin RUESCH, Simon BOHNE, Thomas SCHMID, Philipp HEGI, Ueli HAEFELI, Tobias ARNOLD and Tobias FUMASOLI

8.1. Introduction 147

8.1.1. Starting point and challenges 147

8.1.2. Research objectives 148

8.1.3. Project phases and work packages 149

8.1.4. Research focus and boundaries 150

8.1.5. Research Framework 150

8.1.6. Focus of the chapter 151

8.2. Approach and methodology 151

8.3. Scenario development and analysis 154

8.3.1. Approach for scenario development 154

8.3.2. Scenario A: protection of natural resources 155

8.3.3. Scenario B: liberalization and technology orientation 155

8.3.4. Main features of the scenarios 156

8.3.5. Quantification of scenarios 156

8.4 2050 vision targets 158

8.5 2050 vision for energy-efficient and CO2-free urban logistics 159

8.5.1 2050 vision development process vision elements 159

8.5.2 2050 vision for energy-efficient and CO2-free urban logistics 161

8.5.3. Vision impact 163

8.6. Conclusions and outlook 165

8.7. Acknowledgements 166

8.8. Bibliography 166

Chapter 9. Assessing the Impact of a Low Emission Zone on Freight Transport Emission 169
Christophe RIZET

9.1. Introduction 169

9.1.1. Freight fleets and their changes 171

9.2. Changes in emissions in the Paris area according to scenarios 179

9.3. Conclusion 183

9.4. Bibliography 185

Chapter 10. Long-Term Effects of Innovative City Logistics Measures 189
Tariq VAN ROOIJEN, Don GUIKINK and Hans QUAK

10.1. Introduction 189

10.2. Data and methodology 192

10.3. General long-term effects of CIVITAS II city logistics measures 193

10.4. Case studies of city logistics measures in CIVITAS PLUS 195

10.4.1. Case study 1: Cargohopper 195

10.4.2. Case study 2: Beer Boat 200

10.5. Analysis 205

10.6. Conclusion 206

10.7. Acknowledgements 207

10.8. Bibliography 207

Chapter 11. Classification of Last-Mile Delivery Models for e-Commerce Distribution: A Global Perspective 209
Matthias WINKENBACH and Milena JANJEVIC

11.1. Introduction 209

11.2. Scope of the study 211

11.3. Literature review 211

11.4. Characterizing the operational setups of delivery models 212

11.4.1. Groups of variables defining last-mile e-commerce delivery models observed in case studies 213

11.4.2. Relationships between characteristic variables 214

11.5. Classification of last-mile delivery models in e-retail 216

11.5.1. Delivery model archetype 1: direct non-priority home/near-home or workplace deliveries 217

11.5.2. Delivery model archetype 2: deliveries towards automatic lockers 219

11.5.3. Delivery model archetype 3: deliveries towards pick-up points 219

11.5.4. Delivery model archetype 4: delivery through a (micro-) consolidation center or urban depot 220

11.5.5. Delivery model archetype 5: delivery through mobile warehouse 221

11.5.6. Delivery model archetype 6: home delivery using an intermediary transshipment point 221

11.5.7. Delivery model archetype 7: local e-fulfillment and same-day delivery through local specialists 222

11.5.8. Delivery model archetype 8: same-day delivery through hyperlocal inventory and process optimization 222

11.5.9. Delivery model archetype 9: same-day customer pick-up at local e-fulfillment centers 223

11.5.10. Delivery model archetype 10: delivery through local courier or crowdshipping networks 223

11.6. The importance of local context 224

11.7. Conclusion 225

11.8. Bibliography 225

Chapter 12. City Logistics with Collaborative Centers 231
Serban RAICU, Raluca RAICU, Dorinela COSTESCU and Mihaela POPA12.

1.Introduction 231

12.2. Problem presentation 232

12.3. Transfer options between the collaborative centers 235

12.4. Mathematical model 240

12.5. Case study 242

12.6. Conclusion 247

12.7. Bibliography 248

Chapter 13. Exploring Criteria for Tendering for Sustainable Urban Construction Logistics 251
Susanne BALM and Walther PLOOS VAN AMSTEL13.

1. Introduction 251

13.2. Construction logistics 252

13.2.1. Standardization 254

13.2.2. Model development 254

13.2.3. Traffic management and ITS 255

13.3. Tendering construction projects 256

13.4. Discussion and further research 259

13.4.1. Current research 259

13.5. Bibliography 260

Chapter 14. Observing Interactions Between Urban Freight Transport Actors: Studying the Construction of Public Policies 265
Mathieu GARDRAT

14.1. Introduction 265

14.2. A diversity of approaches 266

14.3. Field of observation 267

14.4. Analysis framework and data collection method 267

14.5. Social interactions analysis: perceptions of urban freight 274

14.6. Explaining the policy-making obstacles 279

14.7. Conclusion 281

14.8. Bibliography 283

Chapter 15. Viewpoint of Industries, Retailers and Carriers about Urban Freight Transport: Solutions, Challenges and Practices in Brazil 287
Leise Kelli DE OLIVEIRA, Paulo Renato DE SOUSA, Paulo Tarso Vilela DE RESENDE, Rafael Barroso DE OLIVEIRA and Renata Lúcia Magalhães DE OLIVEIRA

15.1. Introduction 287

15.2. Methodology 289

15.3 Results 290

15.3.1. City logistics solutions and stakeholders’ points of view 291

15.3.2. Solutions, challenges and current practices 295

15.4. Discussion of results 297

15.5. Conclusion 298

15.6. Acknowledgements 298

15.7. Bibliography 298

Chapter 16. Municipal Co-distribution of Goods: Business Models, Stakeholders and Driving Forces for Change 303
Olof MOEN

16.1. Introduction 303

16.2. Business models 305

16.3. Stakeholders 308

16.4. Development 1999–2016 310

16.5. The Skåne survey 314

16.6. Driving forces for change 315

16.7. Conclusion 319

16.8. Bibliography 319

Chapter 17. Optimizing Courier Routes in Central Business Districts 325
Russell G. THOMPSON, Lele ZHANG and Michael STOKOE

17.1. Introduction 325

17.2. Model development 326

17.3. Literature review 328

17.3.1. Bi-level optimization 328

17.3.2. Vehicle routing problem (traveling salesman problem) 329

17.3.3. Multi-objective optimization 329

17.4. Formulation 330

17.4.1. Notation 330

17.4.2. Assumptions 330

17.4.3. Costs 331

17.4.4. Bi-level programming formulation 331

17.5. Software development 332

17.5.1. Neighborhood generation procedures 333

17.6. Test network 333

17.7. Sydney central business district 335

17.8. Conclusion 338

17.9. Bibliography 339

Chapter 18. A Vehicle Routing Model Considering the Environment and Safety in the Vicinity of Sensitive Urban Facilities 343
Ali Gul QURESHI, Eiichi TANIGUCHI And Go IWASE

18.1. Introduction 343

18.2. Modeling 345

18.3. Genetic algorithm 348

18.4. Experiment setup 349

18.5. Results and discussion 350

18.6. Conclusion 355

18.7. Bibliography 356

Chapter 19. Remote Assessment Sensor Routing: An Application for Waste Management 359
Mehdi NOURINEJAD, Nico MALFARA, Matthew J. ROORDA

19.1. Introduction 359

19.2. Literature review 361

19.2.1. Vehicle routing 361

19.2.2. Inventory routing problem 363

19.2.3. State-of-practice in waste collection 363

19.2.4. State-of-the-art in waste collection 364

19.3. Remote assessment sensor routing problem (RASRP) 364

19.3.1. Approximate dynamic programing model (ADPM) 364

19.3.2. Benchmark models 369

19.4. Model analysis and evaluation 371

19.4.1. Analysis of the continuous approximation model 371

19.4.2. Analysis of the approximate dynamic programing model 374

19.5. Conclusions 375

19.6. Bibliography 376

Chapter 20. Can Routing Systems Surpass the Routing Knowledge of an Experienced Driver in Urban Deliveries? 381
Jacques LEONARDI And Tadashi YAMADA

20.1. Introduction: problem understanding and issues, research hypotheses, objectives and key questions 381

20.2. Measures, approaches and method of the study and the trials 385

20.3. Test design 387

20.4. Results: Software A trial 390

20.4.1. Combination of pedestrian and street routing optimization 391

20.4.2. Grouping orders 392

20.4.3. Software B trial 394

20.5. Discussion and concluding remarks 395

20.6. Acknowledgements 398

20.7. Bibliography 398

List of Authors 401

Index 405

Authors

Eiichi Taniguchi Russell G. Thompson