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City Logistics 1: New Opportunities and Challenges [Kõva köide]

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  • Formaat: Hardback, 432 pages, kõrgus x laius x paksus: 239x160x28 mm, kaal: 771 g
  • Ilmumisaeg: 11-May-2018
  • Kirjastus: ISTE Ltd and John Wiley & Sons Inc
  • ISBN-10: 1786302055
  • ISBN-13: 9781786302052
Teised raamatud teemal:
City Logistics 1: New Opportunities and ChallengesSuurem pilt
  • Formaat: Hardback, 432 pages, kõrgus x laius x paksus: 239x160x28 mm, kaal: 771 g
  • Ilmumisaeg: 11-May-2018
  • Kirjastus: ISTE Ltd and John Wiley & Sons Inc
  • ISBN-10: 1786302055
  • ISBN-13: 9781786302052
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781786302052.html
Märksõnad:

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.

 

Preface xv
Chapter 1 Recent Developments and Prospects for Modeling City Logistics 1(28)
Eiichi Taniguchi
Russell G. Thompson
Ali Gul Qureshi
1.1 Introduction
1(1)
1.2 VRPTW with consideration of environment, energy efficiency and safety
2(1)
1.3 Multi-agent models
3(1)
1.4 Big data analysis
4(1)
1.5 Physical Internet
5(3)
1.5.1 Movers
6(1)
1.5.2 Nodes
6(1)
1.5.3 Container loading
7(1)
1.5.4 Cross-docking
7(1)
1.6 Co-modality
8(4)
1.7 Electric vehicles
12(1)
1.8 Road network strengthening
13(2)
1.9 Conclusions
15(1)
1.10 Bibliography
16(13)
Chapter 2 Light Commercial Vehicles (LCVs) in Urban Areas, Revisited 29(16)
Johan Visser
Julian Allen
Michael Browne
Jose Holguin-Veras
Juvena Ng
2.1 Introduction
29(1)
2.2 Terminology
30(1)
2.3 Trends in the Netherlands
31(3)
2.3.1 The number of LCVs is growing
31(1)
2.3.2 Most LCVs are (not) used for logistics
32(1)
2.3.3 LCVs are used mainly within urban areas
32(1)
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(1)
2.3.5 Vans become bigger
33(1)
2.3.6 Competition from the cargo bike
33(1)
2.4 Trends in the United States
34(3)
2.4.1 Historical estimates of LCV traffic (1960s)
34(1)
2.4.2 Recent estimates of LCV traffic (2015)
35(2)
2.5 Trends in the UK
37(4)
2.5.1 LCVs journey purpose and fleet numbers by sector
38(2)
2.5.2 Changes in size, weight and propulsion for LCVs in the UK
40(1)
2.5.3 E-commerce and the rise in van numbers
40(1)
2.6 Future
41(1)
2.7 Conclusions
42(1)
2.8 Bibliography
42(3)
Chapter 3 Importance and Potential Applications of Freight and Service Activity Models 45(20)
Jose Holguin-Veras
Shama Campbell
Carlos A. Gonzalez-Calderon
Diana Ramirez-Rios
Lokesh Kalahasthi
Felipe Aros-Vera
Michael Browne
Ivan Sanchez-Diaz
3.1 Introduction
45(2)
3.2 Urban economies and freight and service activity
47(4)
3.3 Freight and service activity modeling
51(3)
3.3.1 Survey data
52(1)
3.3.2 Modeling approach
53(1)
3.4 Practical uses of freight and service activity models
54(5)
3.4.1 Identification of FTG patterns in metropolitan areas
55(2)
3.4.2 FTG trends at the county level
57(1)
3.4.3 FTG analyses to support development of freight model
58(1)
3.4.4 Quantification of parking needs for a commercial center
58(1)
3.5 Conclusions
59(1)
3.6 Bibliography
60(5)
Chapter 4 Toward Sustainable Urban Distribution Using City Canals: The Case of Amsterdam 65(20)
J.H.R. Van Duin
L.J. Kortmann
M. Van De Kamp
4.1 Introduction
65(3)
4.2 Literature review on waterborne urban freight transport
68(2)
4.3 Conceptual model of distribution of the canal system
70(2)
4.3.1 Freight
71(1)
4.3.2 Freight vessels
71(1)
4.3.3 Canals
72(1)
4.3.4 Destinations (shops) and their final delivery
72(1)
4.4 Specification of the model
72(2)
4.4.1 Data collection and general modeling assumptions
73(1)
4.4.2 Demand patterns
73(1)
4.5 Verification and validation
74(1)
4.5.1 Verification
75(1)
4.5.2 Validation
75(1)
4.6 Experiments
75(4)
4.6.1 Overview and discussion of simulation experiments
76(2)
4.6.2 Discussion of the main findings
78(1)
4.7 Conclusions
79(1)
4.8 Bibliography
80(5)
Chapter 5 Effects of Land Use Policies on Local Conditions for Truck Deliveries 85(20)
Kazuya Kawamura
Martin Menninger
5.1 Introduction
85(2)
5.2 Policy tools of land use and built environment
87(2)
5.3 Research framework
89(7)
5.3.1 Research hypothesis
89(2)
5.3.2 Data
91(1)
5.3.3 Truck Score
91(3)
5.3.4 Analysis tools
94(2)
5.4 Analysis results
96(5)
5.4.1 Lane width
96(1)
5.4.2 Access time to expressways
97(2)
5.4.3 Truck parking citations
99(1)
5.4.4 Truck Scores
100(1)
5.5 Summary and conclusion
101(2)
5.6 Bibliography
103(2)
Chapter 6 Investigating the Benefits of Shipper-driven Collaboration in Urban Freight Transport and the Effects of Various Gain-sharing Methods 105(20)
Milena Janjevic
Ahmed Al Farisi
Alexis Nsamzinshuti
Alassane Ndiaye
6.1 Introduction
105(2)
6.2 Methodology
107(1)
6.3 Literature review
108(5)
6.3.1 Models for horizontal collaboration in urban freight transport
108(3)
6.3.2 Gain-sharing methodologies for horizontal collaboration
111(2)
6.3.3 Modeling horizontal collaboration schemes in urban freight transport
113(1)
6.4 Modeling horizontal collaboration in urban freight transport
113(4)
6.4.1 Simulating a horizontal collaboration between shippers
113(3)
6.4.2 Integrating different gain-sharing methods between shippers
116(1)
6.5 Application to Brussels-Capital Region
117(4)
6.5.1 Context
117(1)
6.5.2 Results with regard to the benefits of the co-loading scheme
118(1)
6.5.3 Analysis of different gain-sharing models
119(2)
6.6 Conclusion
121(1)
6.7 Bibliography
122(3)
Chapter 7 The Future of City Logistics-Trends and Developments Leading toward a Smart and Zero-Emission System 125(22)
Hans Quak
Robert Kok
Eelco Den Boer
7.1 Introduction
125(3)
7.1.1 Zero-emission logistics in city, centers
126(1)
7.1.2 Reducing city logistics' carbon footprint to meet climate agreement
126(1)
7.1.3 Dealing with diversity and inertia in city logistics
127(1)
7.2 Research methodology and paper setup
128(2)
7.3 Trends and developments in city logistics
130(4)
7.3.1 More demanding customer
130(1)
7.3.2 Increasing pressure for reduction of GHG emissions
130(1)
7.3.3 Increased pressure for livability of cities
131(1)
7.3.4 Circular economy
131(1)
7.3.5 Connecting the physical world
131(1)
7.3.6 Physical Internet and universal labeling
132(1)
7.3.7 Robotization and automation
132(1)
7.3.8 Vehicle drivetrain technology
133(1)
7.4 Toward performance-based regulation
134(1)
7.5 City logistics unraveled: different segments
135(4)
7.5.1 General cargo
136(1)
7.5.2 Temperature controlled logistics
137(1)
7.5.3 Parcel and express mail
138(1)
7.5.4 Facility logistics
138(1)
7.5.5 Construction logistics
138(1)
7.5.6 Waste collection
139(1)
7.6 Developments' impacts in city logistics segments
139(5)
7.7 Conclusion
144(1)
7.8 Acknowledgements
144(1)
7.9 Bibliography
145(2)
Chapter 8 A 2050 Vision for Energy-efficient and CO2-free Urban Logistics 147(22)
Martin Ruesch
Simon Bohne
Thomas Schmid
Philipp Hegi
Ueli Haefeli
Tobias Arnold
Tobias Fumasoli
8.1 Introduction
147(4)
8.1.1 Starting point and challenges
147(1)
8.1.2 Research objectives
148(1)
8.1.3 Project phases and work packages
149(1)
8.1.4 Research focus and boundaries
150(1)
8.1.5 Research Framework
150(1)
8.1.6 Focus of the chapter
151(1)
8.2 Approach and methodology
151(3)
8.3 Scenario development and analysis
154(4)
8.3.1 Approach for scenario development
154(1)
8.3.2 Scenario A: protection of natural resources
155(1)
8.3.3 Scenario B: liberalization and technology orientation
155(1)
8.3.4 Main features of the scenarios
156(1)
8.3.5 Quantification of scenarios
156(2)
8.4 2050 vision targets
158(1)
8.5 2050 vision for energy-efficient and CO2-free urban logistics
159(6)
8.5.1 2050 vision development process vision elements
159(2)
8.5.2 2050 vision for energy-efficient and CO2-free urban logistics
161(2)
8.5.3 Vision impact
163(2)
8.6 Conclusions and outlook
165(1)
8.7 Acknowledgements
166(1)
8.8 Bibliography
166(3)
Chapter 9 Assessing the Impact of a Low Emission Zone on Freight Transport Emission 169(20)
Christophe Rizet
9.1 Introduction
169(10)
9.1.1 Freight fleets and their changes
171(8)
9.2 Changes in emissions in the Paris area according to scenarios
179(4)
9.3 Conclusion
183(2)
9.4 Bibliography
185(4)
Chapter 10 Long-Term Effects of Innovative City Logistics Measures 189(20)
Tariq Van Roouen
Don Guikink
Hans Quak
10.1 Introduction
189(3)
10.2 Data and methodology
192(1)
10.3 General long-term effects of CIVITAS II city logistics measures
193(2)
10.4 Case studies of city logistics measures in CIVITAS PLUS
195(10)
10.4.1 Case study 1: Cargohopper
195(5)
10.4.2 Case study 2: Beer Boat
200(5)
10.5 Analysis
205(1)
10.6 Conclusion
206(1)
10.7 Acknowledgements
207(1)
10.8 Bibliography
207(2)
Chapter 11 Classification of Last-Mile Delivery Models for e-Commerce Distribution: A Global Perspective 209(22)
Matthias Winkenbach
Milena Janjevic
11.1 Introduction
209(2)
11.2 Scope of the study
211(1)
11.3 Literature review
211(1)
11.4 Characterizing the operational setups of delivery models
212(4)
11.4.1 Groups of variables defining last-mile e-commerce delivery models observed in case studies
213(1)
11.4.2 Relationships between characteristic variables
214(2)
11.5 Classification of last-mile delivery models in e-retail
216(8)
11.5.1 Delivery model archetype 1: direct non-priority home/near-home or workplace deliveries
217(2)
11.5.2 Delivery model archetype 2: deliveries towards automatic lockers
219(1)
11.5.3 Delivery model archetype 3: deliveries towards pick-up points
219(1)
11.5.4 Delivery model archetype 4: delivery through a (micro-) consolidation center or urban depot
220(1)
11.5.5 Delivery model archetype 5: delivery through mobile warehouse
221(1)
11.5.6 Delivery model archetype 6: home delivery using an intermediary transshipment point
221(1)
11.5.7 Delivery model archetype 7: local e-fulfillment and same-day deliver) through local specialists
222(1)
11.5.8 Delivery model archetype 8: same-day delivery through hyperlocal inventory and process optimization
222(1)
11.5.9 Delivery model archetype 9: same-day customer pick-up at local e-fulfillment centers
223(1)
11.5.10 Delivery model archetype 10: delivery through local courier or crowdshipping networks
223(1)
11.6 The importance of local context
224(1)
11.7 Conclusion
225(1)
11.8 Bibliography
225(6)
Chapter 12 City Logistics with Collaborative Centers 231(20)
Serban Raicu
Raluca Raicu
Dorinela Costescu
Mihaela Popa
12.1 Introduction
231(1)
12.2 Problem presentation
232(3)
12.3 Transfer options between the collaborative centers
235(5)
12.4 Mathematical model
240(2)
12.5 Case study
242(5)
12.6 Conclusion
247(1)
12.7 Bibliography
248(3)
Chapter 13 Exploring Criteria for Tendering for Sustainable Urban Construction Logistics 251(14)
Susanne Balm
Walther Ploos Van Amstel
13.1 Introduction
251(1)
13.2 Construction logistics
252(4)
13.2.1 Standardization
254(1)
13.2.2 Model development
254(1)
13.2.3 Traffic management and ITS
255(1)
13.3 Tendering construction projects
256(3)
13.4 Discussion and further research
259(1)
13.4.1 Current research
259(1)
13.5 Bibliography
260(5)
Chapter 14 Observing Interactions Between Urban Freight Transport Actors: Studying the Construction of Public Policies 265(22)
Mathieu Gardrat
14.1 Introduction
265(1)
14.2 A diversity of approaches
266(1)
14.3 Field of observation
267(1)
14.4 Analysis framework and data collection method
267(7)
14.5 Social interactions analysis: perceptions of urban freight
274(5)
14.6 Explaining the policy-making obstacles
279(2)
14.7 Conclusion
281(2)
14.8 Bibliography
283(4)
Chapter 15 Viewpoint of Industries, Retailers and Carriers about Urban Freight Transport: Solutions, Challenges and Practices in Brazil 287(16)
Leise Kelli De Oliveira
Paulo Renato De Sousa
Paulo Tarso Vilela De Resende
Rafael Barroso De Oliveira
Renata Lucia Magalhaes De Oliveira
15.1 Introduction
287(2)
15.2 Methodology
289(1)
15.3 Results
290(7)
15.3.1 City logistics solutions and stakeholders' points of view
291(4)
15.3.2 Solutions, challenges and current practices
295(2)
15.4 Discussion of results
297(1)
15.5 Conclusion
298(1)
15.6 Acknowledgements
298(1)
15.7 Bibliography
298(5)
Chapter 16 Municipal Co-distribution of Goods: Business Models, Stakeholders and Driving Forces for Change 303(22)
Olof Moen
16.1 Introduction
303(2)
16.2 Business models
305(3)
16.3 Stakeholders
308(2)
16.4 Development 1999-2016
310(4)
16.5 The Skane survey
314(1)
16.6 Driving forces for change
315(4)
16.7 Conclusion
319(1)
16.8 Bibliography
319(6)
Chapter 17 Optimizing Courier Routes in Central Business Districts 325(18)
Russell G. Thompson
Lele Zhang
Michael Stokoe
17.1 Introduction
325(1)
17.2 Model development
326(2)
17.3 Literature review
328(2)
17.3.1 Bi-level optimization
328(1)
17.3.2 Vehicle routing problem (traveling salesman problem)
329(1)
17.3.3 Multi-objective optimization
329(1)
17.4 Formulation
330(2)
17.4.1 Notation
330(1)
17.4.2 Assumptions
330(1)
17.4.3 Costs
331(1)
17.4.4 Bi-level programming formulation
331(1)
17.5 Software development
332(1)
17.5.1 Neighborhood generation procedures
333(1)
17.6 Test network
333(2)
17.7 Sydney central business district
335(3)
17.8 Conclusion
338(1)
17.9 Bibliography
339(4)
Chapter 18 A Vehicle Routing Model Considering the Environment and,Safety in the Vicinity of Sensitive Urban Facilities 343(16)
Ali Gul Qureshi
Eiichi Taniguchi
Go Iwase
18.1 Introduction
343(2)
18.2 Modeling
345(3)
18.3 Genetic algorithm
348(1)
18.4 Experiment setup
349(1)
18.5 Results and discussion
350(5)
18.6 Conclusion
355(1)
18.7 Bibliography
356(3)
Chapter 19 Remote Assessment Sensor Routing: An Application for Waste Management 359(22)
Mehdi Nourinejad
Nico Malfara
Matthew J. Roorda
19.1 Introduction
359(2)
19.2 Literature review
361(3)
19.2.1 Vehicle routing
361(2)
19.2.2 Inventory routing problem
363(1)
19.2.3 State-of-practice in waste collection
363(1)
19.2.4 State-of-the-art in waste collection
364(1)
19.3 Remote assessment sensor routing problem (RASRP)
364(7)
19.3.1 Approximate dynamic programing model (ADPM)
364(5)
19.3.2 Benchmark models
369(2)
19.4 Model analysis and evaluation
371(4)
19.4.1 Analysis of the continuous approximation model
371(3)
19.4.2 Analysis of the approximate dynamic programing model
374(1)
19.5 Conclusions
375(1)
19.6 Bibliography
376(5)
Chapter 20 Can Routing Systems Surpass the Routing Knowledge of an Experienced Driver in Urban Deliveries? 381(20)
Jacques Leonardi
Tadashi Yamada
20.1 Introduction: problem understanding and issues, research hypotheses, objectives and key questions
381(4)
20.2 Measures, approaches and method of the study and the trials
385(2)
20.3 Test design
387(3)
20.4 Results: Software A trial
390(5)
20.4.1 Combination of pedestrian and street routing optimization
391(1)
20.4.2 Grouping orders
392(2)
20.4.3 Software B trial
394(1)
20.5 Discussion and concluding remarks
395(3)
20.6 Acknowledgements
398(1)
20.7 Bibliography
398(3)
List of Authors 401(4)
Index 405
Eiichi Taniguchi, Kyoto University, Japan. Russell G. Thompson, The University of Melbourne, Australia.