WEF&麦肯锡：2025智慧交通绿色未来：人工智能加速全球物流脱碳进程白皮书（英文版）（33页）.pdf

1、Intelligent Transport,Greener Future:AI as a Catalyst to Decarbonize Global LogisticsW H I T E P A P E RJ A N U A R Y 2 0 2 5In collaboration with McKinsey&CompanyTransformation of Industries in the Age of AIImages:Getty ImagesDisclaimer This document is published by the World Economic Forum as a co

2、ntribution to a project,insight area or interaction.The findings,interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum,nor the

3、entirety of its Members,Partners or other stakeholders.2025 World Economic Forum.All rights reserved.No part of this publication may be reproduced or transmitted in any form or by any means,including photocopying and recording,or by any information storage and retrieval system.ContentsReading guide

4、3Foreword 4Executive summary 5Scope of this paper 6Introduction 71 Enhancing operational efficiencies 101.1 Operational efficiency#1:dwell time optimization 121.2 Operational efficiency#2:route optimization 131.3 Operational efficiency#3:driver behaviour 131.4 Operational efficiency#4:asset maintena

5、nce 142 Improving capacity utilization 152.1 AI can help address empty capacity and reduce emissions 163 Optimizing modal shifts 183.1 Shifting freight to lower-carbon modes of transport 19 can reduce emissions3.2 Key challenges with modal shifts and potential solutions 203.3 Use of predictive analy

6、tics to enable modal shifts 214 Critical actions needed to embrace the AI opportunity 224.1 Behaviour change is key to maximizing the impact of AI 234.2 Collaboration across the freight logistics ecosystem is crucial 234.3 Integrating AI needs vision from leadership and bottom-up action 25Conclusion