City Logistics 3

Eiichi Taniguchi, Kyoto University, Japan. Russell G. Thompson, The University of Melbourne, Australia.

• Preface xvChapter 1. Integrating Direct and Reverse Logistics in a “Living Lab” Context: Evaluating Stakeholder Acceptability and the Potential of Gamification to Foster Sustainable Urban Freight Transport 1Valerio GATTA, Edoardo MARCUCCI, Michela LE PIRA and Andrea CICCORELLI1.1. Introduction 11.2. CITYLAB: city logistics in living laboratories 41.2.1. Integrating direct and reverse logistics in a living lab context: the case of Rome 51.2.2. The role of gamification to foster sustainable urban freight transport 71.3. Data/methodology . 81.3.1. Plastic cap collection at the University of Roma Tre 81.3.2. Stated choice experiments 101.3.3. Discrete choice models 111.4. Results 111.4.1. Policy implications 161.5. Conclusion 171.6. Acknowledgements 171.7. Bibliography 18Chapter 2. Optimizing the Establishment of a Central City Transshipment Facility to Ameliorate Last-Mile Delivery: a Case Study in Melbourne CBD 23Khalid ALJOHANI and Russell G. THOMPSON2.1. Introduction 232.2. Literature review 252.2.1. Recent trends and challenges affecting last-mile delivery 252.2.2. rational challenges in last-mile freight in the central city area 262.2.3. Establish small-scale logistics facilities in the central city area 262.3. Overview of methodology 282.4. Results and analysis of the observational study of loading activities in Melbourne CBD 282.5. Framework to establish Central City Transshipment Facility in the central city area 352.5.1. Description of framework 352.5.2. Stages of integrated framework 362.6. Conclusion 432.7. Bibliography 43Chapter 3. Simulation of a City Logistics Solution for Montreal 47Marguerite SIMO, Teodor Gabriel CRAINIC and Yvon BIGRAS3.1. Introduction 473.2. Literature review 483.2.1. Different types of model classification 483.2.2. Different models for urban freight 493.3. Methodology 513.3.1. The initial national model 513.3.2. Modifying model 533.4. Results 563.4.1. Base case scenario 563.4.2. Scenario 1 573.4.3. Scenario 2 583.4.4. Scenario 3 593.5. Conclusion 613.6. Acknowledgements 613.7. Bibliography 62Chapter 4. Simulation Applied to Urban Logistics: A State of the Art 65Sarra JLASSI, Simon TAMAYO and Arthur GAUDRON4.1. Introduction 654.1.1. Modeling versus simulation 664.2. Research method 674.3. Analytical framework 724.3.1. Simulation techniques used in different types of problems 724.3.2. Software solutions 804.3.3. Research opportunities 804.4. Conclusion 814.5. Acknowledgements 834.6. Bibliography 83Chapter 5. Can the Crowd Deliver? Analysis of Crowd Logistics’ Types and Stakeholder Support 89Heleen BULDEO RAI, Sara VERLINDE, Jan MERCKX and Cathy MACHARIS5.1. Introduction 895.2. Literature review 915.3. Methodology 945.4. Results 965.5. Conclusion 1035.6. Acknowledgements 1045.7. Bibliography 105Chapter 6. Preliminary Investigation of a Crowdsourced Package Delivery System: A Case Study 109Sudheer BALLARE and Jane LIN6.1. Introduction 1096.2. Overview of the case study 1116.2.1. Types of delivery service 1116.2.2. Pricing model 1126.3. Research questions 1136.3.1. Data 1146.3.2. Analysis findings 1176.4. Further discussion 1236.4.1. Market opportunities 1236.4.2. Qualitative assessment of service 1246.5. Conclusion 1256.6. Acknowledgements 1256.7. Bibliography 126Chapter 7. Concepts of an Integrated Platform for Innovative City Logistics with Urban Consolidation Centers and Transshipment Points 129Eiichi TANIGUCHI, Rémy DUPAS, Jean-Christophe DESCHAMPS and Ali Gul QURESHI7.1. Introduction 1297.2. Concepts of integrated platform for city logistics 1307.3. Surveys on opinions about UCC and transshipment 1327.3.1. Questionnaire 1327.3.2. Results 1337.4. Urban consolidation centers in Tokyo and Bordeaux 1377.4.1. UCC in Tokyo 1377.4.2. UCC in Bordeaux 1397.5. Implementation issues 1417.6. Conclusion 1447.7. Acknowledgements 1457.8. Bibliography 145Chapter 8. E-Consumers and Their Perception of Automated Parcel Stations 147Sara VERLINDE, César ROJAS, Heleen BULDEO RAI, Bram KIN and Cathy MACHARIS8.1. Introduction 1478.2. Literature review 1498.3. Methodology 1518.4. Results 1548.4.1. Delivery preferences of online consumers 1548.4.2. Attitude toward automated parcel stations 1558.4.3. Expectations and use of automated parcel stations 1558.5. Conclusion 1578.6. Bibliography 158Chapter 9. Loading/Unloading Space Location and Evaluation: An Approach through Real Data 161Simon TAMAYO, Arthur GAUDRON and Arnaud DE LA FORTELLE9.1. Introduction 1619.2. Proposed approach 1639.2.1. Data collection 1649.2.2. Demand generation 1659.2.3. Optimization model 1689.3. Application and findings 1739.3.1. Data collection and demand generation 1739.3.2. Location of 10 L/U spaces if there are no prior spaces in the area 1749.3.3. Location of two new L/U spaces taking into account the existing spaces 1759.3.4. Evaluation of the existing L/U spaces in the area 1769.4. Conclusion 1779.5. Acknowledgements 1789.6. Bibliography 178Chapter 10. Understanding Road Freight Movements in Melbourne 181Loshaka PERERA, Russell G. THOMPSON and Yiqun CHEN10.1. Introduction 18110.2. Data 18310.2.1. Comprehensive freight data 18310.2.2. Land-use data 18410.2.3. Employment data 18510.3. Analysis, results and discussion 18510.3.1. General descriptive analysis 18510.3.2. Test of independence 19210.3.3. Regression analysis 19410.3.4. Freight vehicle cost analysis 19710.4. Conclusion 19810.5. Future work 19910.6. Bibliography 199Chapter 11. High-Resolution Last-Mile Network Design 201Daniel MERCHÁN and Matthias WINKENBACH11.1. Introduction 20111.2. Literature review 20211.3. Network circuity in last-mile logistics 20311.3.1. Circuity factors 20311.3.2. Empirical analysis for São Paulo 20411.4. Model for two-echelon network design 20611.5. Case study 20911.6. Conclusion 21211.7. Bibliography 212Chapter 12. Cooperative Models for Addressing Urban Freight Challenges: The NOVELOG and U-TURN Approaches 215Maria RODRIGUES, Eleni ZAMPOU, Vasilis ZEIMPEKIS, Alexander STATHACOPOULOS, Tharsis TEOH and Georgia AYFANTOPOULOU12.1. Introduction 21512.2. Business models in the UFT environment 21712.3. Need for cooperative business models in the evolving UFT environment 21912.3.1. The approach of NOVELOG 21912.3.2. The case of Turin 22112.3.3. The approach of U-TURN 22412.4. Conclusions 23212.5. Bibliography 233Chapter 13. The Capacity of Indonesian Logistics Service Providers in Information and Communication Technology Adoption 235Kuncoro Harto WIDODO, Joewono SOEMARDJITO and Yandra Rahardian PERDANA13.1. Introduction 23513.2. Literature review 23713.2.1. ICT as an essential logistics performance 23713.2.2. The role of ICT in city logistics 23813.2.3. ICT platforms and innovation in logistics 24013.2.4. Impact of ICT adoption 24113.3. Method 24213.4. Results 24313.5. Conclusion 24613.6. Bibliography 246Chapter 14. An Explorative Approach to Freight Trip Attraction in an Industrial Urban Area 249Elise CASPERSEN14.1. Introduction 24914.2. Background 25114.3. Data from establishments in Groruddalen 25214.3.1. try classification 25414.4. Estimating freight trip generation models 25614.4.1. FTA model functional form 25714.4.2. Model extension with establishment and shipment characteristics 26114.5. Conclusion 26414.6. Bibliography 266Chapter 15. Choice of Using Distribution Centers in the Container Import Chain: a Hybrid Model Correcting for Missing Information 269Elnaz IRANNEZHAD, Carlo G. PRATO And Mark HICKMAN15.1. Introduction 27015.2. Methods 27115.2.1. Data 27115.2.2. Model formulation 27415.2.3. Model specification 27615.3. Results 27715.4. Conclusions 27915.5. Acknowledgements 27915.6. Bibliography 279Chapter 16. Applying Gamification to Freight Surveys: Understanding Singapore Truck Drivers’ Preferences 281Fangping LU And Lynette CHEAH16.1. Introduction 28116.2. Gamification process 28316.2.1. What is gamification? 28316.2.2. Gamification design methods 28416.3. Protoypes and testing 28716.4. Conclusion 29316.5. Acknowledgements 29516.6. Bibliography 296Chapter 17. Urban Distribution of Craft-Brewed Beer in the Belo Horizonte Metropolitan Area 299Renata Lúcia Magalhães DE OLIVEIRA, Patrick Mendes dos SANTOS, Jonathan REITH, Julia Almeida COSTA and Leise Kelli DE OLIVEIRA17.1. Introduction 29917.2. The urban distribution of beer 30117.3. Study area: Belo Horizonte Metropolitan Area 30317.4. Methodological approach 30417.4.1. Data collection and spatialization 30517.4.2. Descriptive analysis of the consumer profile 30717.4.3. Logistics network design 30717.5. Results and discussions 30917.5.1. Descriptive analysis of the consumer profile 31017.5.2. Logistics network design 31117.6. Conclusion 31317.7. Acknowledgements 31417.8. Bibliography 314Chapter 18. Issues and Challenges in Urban Logistics Planning in Indonesia 317Kuncoro Harto WIDODO, Danang PARIKESIT, Hengki PURWOTO, Joewono SOEMARDJITO and ERIADI18.1. Introduction 31718.2. Identifying urban logistics challenges 31818.2.1. Urban growth and urbanization 31818.2.2. E-commerce growth 31918.2.3. Space conflict 32018.2.4. Traffic density congestion 32118.2.5. Readiness for agents/operators 32218.2.6. Readiness for logistics regulation 32318.2.7. Environmental, geographical and disasters issues 32318.3. Implementation of city logistics in Indonesia 32518.4. Acknowledgements 32618.5. Bibliography 326Chapter 19. From City Logistics Theories to City Logistics Planning 329Francesco RUSSO and Antonio COMI19.1. Introduction 32919.2. The state of the art 33119.2.1. ds and models 33119.2.2. City logistics plans 33319.2.3. Goals 33419.3. The interconnected processes to study and to implement city logistics 33519.4. The city logistics plan definition 33619.4.1. Empirical data driving city logistics theories and the plan design 33719.4.2. City logistics measures 33719.4.3. Grant for start-up 34119.5. Conclusions 34319.6. Bibliography 343Chapter 20. Strategies to Improve Urban Freight Logistics in Historical Centers: the Cases of Lisbon and Mexico City 349Juan Pablo ANTÚN, Vasco REIS and Rosário MACÁRIO20.1. Introduction 34920.2. Objectives 35120.3. Methodology 35220.4. Trends in corporate logistics for urban goods distribution 35220.5. Urban logistics in historical centers 35320.5.1. Complexity of the physical distribution of goods in Historical Centers and Central Districts of cities 35320.5.2. Priority areas of intervention for public policies to improve Urban Logistics in Historical Centers and Central Districts of cities 35420.6. Parallelisms and contrasts in logistic practices in the Historical Centers of the city of Mexico and Lisbon 35620.6.1. Trends in logistics practices 35620.6.2. Logistics impact of pre-selling 35720.6.3. Size and technology of urban freight vehicles 35820.6.4. Logistics Platforms: DLP and OC 35920.7. Experimental proposals for the Historical Center of Lisbon 36020.7.1. Characteristics of the Historic Center of Lisbon 36020.7.2. Period of operation of deliveries to the HORECA sector 36120.7.3. Experimental proposals to improve the logistics of distribution of goods, with particular reference to the HORECA sector, at the Historic Districts of Lisbon 36120.8. Conclusions 36520.9. Bibliography 365List of Authors 367Index 371