Preface |
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xv | |
Chapter 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 |
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1 | (22) |
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1 | (3) |
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1.2 CITYLAB: city logistics in living laboratories |
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4 | (4) |
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1.2.1 Integrating direct and reverse logistics in a living lab context: the case of Rome |
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5 | (2) |
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1.2.2 The role of gamification to foster sustainable urban freight transport |
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7 | (1) |
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8 | (3) |
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1.3.1 Plastic cap collection at the University of Roma Tre |
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8 | (2) |
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1.3.2 Stated choice experiments |
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10 | (1) |
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1.3.3 Discrete choice models |
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11 | (1) |
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11 | (6) |
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1.4.1 Policy implications |
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16 | (1) |
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17 | (1) |
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17 | (1) |
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18 | (5) |
Chapter 2 Optimizing the Establishment of a Central City Transshipment Facility to Ameliorate Last-Mile Delivery: a Case Study in Melbourne CBD |
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23 | (24) |
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23 | (2) |
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25 | (3) |
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2.2.1 Recent trends and challenges affecting last-mile delivery |
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25 | (1) |
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2.2.2 Operational challenges in last-mile freight in the central city area |
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26 | (1) |
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2.2.3 Establish small-scale logistics facilities in the central city area |
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26 | (2) |
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2.3 Overview of methodology |
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28 | (1) |
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2.4 Results and analysis of the observational study of loading activities in Melbourne CBD |
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28 | (7) |
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2.5 Framework to establish Central City Transshipment Facility in the central city area |
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35 | (8) |
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2.5.1 Description of framework |
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35 | (1) |
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2.5.2 Stages of integrated framework |
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36 | (7) |
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43 | (1) |
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43 | (4) |
Chapter 3 Simulation of a City Logistics Solution for Montreal |
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47 | (18) |
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47 | (1) |
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48 | (3) |
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3.2.1 Different types of model classification |
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48 | (1) |
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3.2.2 Different models for urban freight |
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49 | (2) |
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51 | (5) |
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3.3.1 The initial national model |
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51 | (2) |
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53 | (3) |
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56 | (5) |
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56 | (1) |
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57 | (1) |
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58 | (1) |
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59 | (2) |
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61 | (1) |
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61 | (1) |
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62 | (3) |
Chapter 4 Simulation Applied to Urban Logistics: A State of the Art |
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65 | (24) |
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65 | (2) |
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4.1.1 Modeling versus simulation |
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66 | (1) |
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67 | (5) |
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72 | (9) |
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4.3.1 Simulation techniques used in different types of problems |
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72 | (8) |
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80 | (1) |
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4.3.3 Research opportunities |
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80 | (1) |
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81 | (2) |
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83 | (1) |
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83 | (6) |
Chapter 5 Can the Crowd Deliver? Analysis of Crowd Logistics' Types and Stakeholder Support |
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89 | (20) |
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89 | (2) |
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91 | (3) |
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94 | (2) |
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96 | (7) |
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103 | (1) |
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104 | (1) |
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105 | (4) |
Chapter 6 Preliminary Investigation of a Crowdsourced Package Delivery System: A Case Study |
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109 | (20) |
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109 | (2) |
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6.2 Overview of the case study |
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111 | (2) |
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6.2.1 Types of delivery service |
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111 | (1) |
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112 | (1) |
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113 | (10) |
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114 | (3) |
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117 | (6) |
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123 | (2) |
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6.4.1 Market opportunities |
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123 | (1) |
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6.4.2 Qualitative assessment of service |
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124 | (1) |
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125 | (1) |
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125 | (1) |
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126 | (3) |
Chapter 7 Concepts of an Integrated Platform for Innovative City Logistics with Urban Consolidation Centers and Transshipment Points |
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129 | (18) |
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Jean-Christophe Deschamps |
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129 | (1) |
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7.2 Concepts of integrated platform for city logistics |
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130 | (2) |
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7.3 Surveys on opinions about UCC and transshipment |
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132 | (5) |
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132 | (1) |
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133 | (4) |
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7.4 Urban consolidation centers in Tokyo and Bordeaux |
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137 | (4) |
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137 | (2) |
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139 | (2) |
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7.5 Implementation issues |
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141 | (3) |
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144 | (1) |
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145 | (1) |
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145 | (2) |
Chapter 8 E-Consumers and Their Perception of Automated Parcel Stations |
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147 | (14) |
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147 | (2) |
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149 | (2) |
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151 | (3) |
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154 | (3) |
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8.4.1 Delivery preferences of online consumers |
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154 | (1) |
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8.4.2 Attitude toward automated parcel stations |
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155 | (1) |
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8.4.3 Expectations and use of automated parcel stations |
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155 | (2) |
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157 | (1) |
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158 | (3) |
Chapter 9 Loading/Unloading Space Location and Evaluation: An Approach through Real Data |
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161 | (20) |
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161 | (2) |
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163 | (10) |
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164 | (1) |
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165 | (3) |
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168 | (5) |
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9.3 Application and findings |
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173 | (4) |
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9.3.1 Data collection and demand generation |
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173 | (1) |
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9.3.2 Location of 10 L/U spaces if there are no prior spaces in the area |
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174 | (1) |
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9.3.3 Location of two new L/U spaces taking into account the existing spaces |
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175 | (1) |
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9.3.4 Evaluation of the existing L/U spaces in the area |
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176 | (1) |
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177 | (1) |
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178 | (1) |
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178 | (3) |
Chapter 10 Understanding Road Freight Movements in Melbourne |
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181 | (20) |
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181 | (2) |
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183 | (2) |
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10.2.1 Comprehensive freight data |
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183 | (1) |
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184 | (1) |
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185 | (1) |
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10.3 Analysis, results and discussion |
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185 | (13) |
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10.3.1 General descriptive analysis |
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185 | (7) |
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10.3.2 Test of independence |
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192 | (2) |
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10.3.3 Regression analysis |
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194 | (3) |
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10.3.4 Freight vehicle cost analysis |
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197 | (1) |
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198 | (1) |
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199 | (1) |
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199 | (2) |
Chapter 11 High-Resolution Last-Mile Network Design |
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201 | (14) |
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201 | (1) |
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202 | (1) |
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11.3 Network circuity in last-mile logistics |
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203 | (3) |
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203 | (1) |
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11.3.2 Empirical analysis for Sao Paulo |
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204 | (2) |
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11.4 Model for two-echelon network design |
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206 | (3) |
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209 | (3) |
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212 | (1) |
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212 | (3) |
Chapter 12 Cooperative Models for Addressing Urban Freight Challenges: The NOVELOG and U-TURN Approaches |
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215 | (20) |
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215 | (2) |
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12.2 Business models in the UFT environment |
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217 | (2) |
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12.3 Need for cooperative business models in the evolving UFT environment |
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219 | (13) |
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12.3.1 The approach of NOVELOG |
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219 | (2) |
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221 | (3) |
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12.3.3 The approach of U-TURN |
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224 | (8) |
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232 | (1) |
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233 | (2) |
Chapter 13 The Capacity of Indonesian Logistics Service Providers in Information and Communication Technology Adoption |
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235 | (14) |
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235 | (2) |
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237 | (5) |
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13.2.1 ICT as an essential logistics performance |
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237 | (1) |
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13.2.2 The role of ICT in city logistics |
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238 | (2) |
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13.2.3 ICT platforms and innovation in logistics |
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240 | (1) |
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13.2.4 Impact of ICT adoption |
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241 | (1) |
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242 | (1) |
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243 | (3) |
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246 | (1) |
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246 | (3) |
Chapter 14 An Explorative Approach to Freight Trip Attraction in an Industrial Urban Area |
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249 | (20) |
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249 | (2) |
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251 | (1) |
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14.3 Data from establishments in Groruddalen |
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252 | (4) |
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14.3.1 Industry classification |
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254 | (2) |
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14.4 Estimating freight trip generation models |
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256 | (8) |
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14.4.1 FTA model functional form |
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257 | (4) |
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14.4.2 Model extension with establishment and shipment characteristics |
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261 | (3) |
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264 | (2) |
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266 | (3) |
Chapter 15 Choice of Using Distribution Centers in the Container Import Chain: a Hybrid Model Correcting for Missing Information |
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269 | (12) |
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270 | (1) |
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271 | (8) |
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271 | (3) |
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274 | (2) |
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15.2.3 Model specification |
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276 | (1) |
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277 | (2) |
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279 | (1) |
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279 | (1) |
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279 | (2) |
Chapter 16 Applying Gamification to Freight Surveys: Understanding Singapore Truck Drivers' Preferences |
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281 | (18) |
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281 | (2) |
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16.2 Gamification process |
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283 | (4) |
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16.2.1 What is gamification? |
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283 | (1) |
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16.2.2 Gamification design methods |
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284 | (3) |
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16.3 Protoy pes and testing |
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287 | (6) |
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293 | (2) |
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295 | (1) |
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296 | (3) |
Chapter 17 Urban Distribution of Craft-Brewed Beer in the Belo Horizonte Metropolitan Area |
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299 | (18) |
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Renata Lucia Magalhaes De Oliveira |
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Patrick Mendes Dos Santos |
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299 | (2) |
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17.2 The urban distribution of beer |
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301 | (2) |
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17.3 Study area: Belo Horizonte Metropolitan Area |
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303 | (1) |
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17.4 Methodological approach |
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304 | (5) |
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17.4.1 Data collection and spatialization |
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305 | (2) |
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17.4.2 Descriptive analysis of the consumer profile |
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307 | (1) |
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17.4.3 Logistics network design |
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307 | (2) |
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17.5 Results and discussions |
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309 | (4) |
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17.5.1 Descriptive analysis of the consumer profile |
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310 | (1) |
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17.5.2 Logistics network design |
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311 | (2) |
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313 | (1) |
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314 | (1) |
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314 | (3) |
Chapter 18 Issues and Challenges in Urban Logistics Planning in Indonesia |
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317 | (12) |
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317 | (1) |
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18.2 Identifying urban logistics challenges |
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318 | (7) |
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18.2.1 Urban growth and urbanization |
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318 | (1) |
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319 | (1) |
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320 | (1) |
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18.2.4 Traffic density congestion |
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321 | (1) |
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18.2.5 Readiness for agents/operators |
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322 | (1) |
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18.2.6 Readiness for logistics regulation |
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323 | (1) |
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18.2.7 Environmental, geographical and disasters issues |
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323 | (2) |
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18.3 Implementation of city logistics in Indonesia |
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325 | (1) |
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326 | (1) |
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326 | (3) |
Chapter 19 From City Logistics Theories to City Logistics Planning |
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329 | (20) |
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329 | (2) |
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19.2 The state of the art |
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331 | (4) |
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19.2.1 Methods and models |
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331 | (2) |
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19.2.2 City logistics plans |
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333 | (1) |
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334 | (1) |
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19.3 The interconnected processes to study and to implement city logistics |
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335 | (1) |
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19.4 The city logistics plan definition |
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336 | (7) |
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19.4.1 Empirical data driving city logistics theories and the plan design |
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337 | (1) |
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19.4.2 City logistics measures |
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337 | (4) |
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19.4.3 Grant for start-up |
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341 | (2) |
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343 | (1) |
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343 | (6) |
Chapter 20 Strategies to Improve Urban Freight Logistics in Historical Centers: the Cases of Lisbon and Mexico City |
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349 | (18) |
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349 | (2) |
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351 | (1) |
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352 | (1) |
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20.4 Trends in corporate logistics for urban goods distribution |
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352 | (1) |
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20.5 Urban logistics in historical centers |
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353 | (3) |
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20.5.1 Complexity of the physical distribution of goods in Historical Centers and Central Districts of cities |
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353 | (1) |
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20.5.2 Priority areas of intervention for public policies to improve Urban Logistics in Historical Centers and Central Districts of cities |
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354 | (2) |
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20.6 Parallelisms and contrasts in logistic practices in the Historical Centers of the city of Mexico and Lisbon |
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356 | (4) |
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20.6.1 Trends in logistics practices |
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356 | (1) |
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20.6.2 Logistics impact of pre-selling |
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357 | (1) |
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20.6.3 Size and technology of urban freight vehicles |
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358 | (1) |
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20.6.4 Logistics Platforms: DLP and OC |
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359 | (1) |
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20.7 Experimental proposals for the Historical Center of Lisbon |
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360 | (5) |
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20.7.1 Characteristics of the Historic Center of Lisbon |
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360 | (1) |
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20.7.2 Period of operation of deliveries to the HORECA sector |
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361 | (1) |
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20.7.3 Experimental proposals to improve the logistics of distribution of goods, with particular reference to the HORECA sector, at the Historic Districts of Lisbon |
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361 | (4) |
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365 | (1) |
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365 | (2) |
List of Authors |
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367 | (4) |
Index |
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