报告题目：中国交通减排的驾驶行为影响机理
报告人：浙江大学智能交通研究所所长陈喜群教授
讲座时间：2024年7月22日（星期一）15:00-17:30
讲座地点：深圳大学粤海校区（南区）致理楼L1-1007会议室
报告人简介：
陈喜群，浙江大学长聘教授，智能交通研究所所长，国家优青。研究领域包括交通运输管理、共享出行、智能交通系统等。担任WTC学科主席，管理科学与工程学会理事，国家级车联网先导区专家委员，Transportation Research Part C副主编，IEEE Transactions on Intelligent Vehicles副主编，npj Sustainable Mobility and Transport编委。主持国家自然科学基金项目4项、国家重点研发计划课题1项。在Nature Sustainability、Cell子刊Patterns和The Innovation、Management Science、M&SOM、Transportation Science、Transportation Research Part B等期刊发表SCI/SSCI论文140余篇，研究成果被遴选为Nature研究亮点和Patterns封面论文，并被国家基金委报道。获中国智能交通协会科技创新领军人才奖、中国交通运输协会科技创新青年奖、IEEE ITSS最佳博士论文奖，入选斯坦福全球2%顶尖科学家、爱思唯尔中国高被引学者、中国科协青托工程、浙江省杰青、浙江省千人。
Dr. Xiqun (Michael) Chen is Tenured Professor of Zhejiang University, Director of Institute of Intelligent Transportation Systems, and Deputy Director of Zhejiang Provincial Engineering Research Center for Intelligent Transportation. Prof. Chen’s research interests include shared mobility on demand, simulation-based optimization, transportation big data analytics, and intelligent transportation systems. He received the National Excellent Young Scholars Award of National Natural Science Foundation of China and Distinguished Young Scholars Award of Zhejiang Provincial Natural Science Foundation, and was an awardee of Young Elite Scientists Sponsorship Program by China Association for Science and Technology. Currently, he serves as the Chairman of Transportation Management and Control of World Transport Convention, Transportation Consultant for World Bank, Board Member of ASCE Greater China Section, Board Member of Society of Management Science and Engineering of China, Associate Editor of IEEE Transactions on Intelligent Vehicles, Editorial Advisory Board Member of Transportation Research Part C: Emerging Technologies, and Senior Associate Editor of Digital Transportation and Safety. Prof. Chen has published 1 book, 3 book chapters, over 140 peer-review international journal papers on Nature Sustainability, Cell Press journal Patterns, Cell Press partner journal Innovation, Management Science, Manufacturing & Service Operations Management, Transportation Science, Transportation Research Part B, etc. In 2022, he was ranked in the list of World’s Top 2% Scientists by Stanford University. He received the Science and Technology Innovation Youth Award of China Communications and Transportation Association, Science and Technology Award of China Intelligent Transportation Systems Association, Best Ph.D. Dissertation Award of IEEE Intelligent Transportation Systems Society, and Best Paper Awards at seven international conferences.
报告摘要：
日常驾驶行为的细微差异及演化趋势可在宏观层面产生巨大的环境影响。以微观驾驶行为为研究对象，构建标准化驾驶激进性指数，并以此对驾驶员跟驰行为进行分类及预测。通过分析2013至2021年间我国车辆的微观轨迹数据，估计车辆保有量、排放国标代际占比、电动化程度等指标，实现2013至2050年间全国范围内激进驾驶行为产生的额外交通排放估计与预测。研究结果表明，相比于温和驾驶行为，激进驾驶行为将额外产生约4亿吨二氧化碳排放，这反映出改善驾驶员日常驾驶行为的重要性，给出一种从驾驶员角度实现交通减排的可行方法。
This presentation examines what individual drivers can contribute to reduce global vehicle emissions in their daily driving. Here vehicle emissions from the behavioural perspective is analysed with the aim of identifying ways in which drivers can reduce emissions by modifying their driving behaviour. The presenter’s research team proposes an indicator, the Standardized Driver Aggressiveness Index, to estimate the changes in private vehicle driving behaviour and perform estimates based on the real-world vehicular trajectory data collected from 2013 to 2021 in China. Then a forward-looking integrated assessment model is developed to predict the extra vehicle emissions that would be induced by various types of car-following behaviour, for example, calm, neutral and aggressive behaviour. Results indicate that by 2050, the cumulative emissions linked to driving behaviour that could be prevented will amount to 400.5 million tons of CO2. The findings highlight the importance of considering behavioural changes as part of the solution to mitigate transport emissions, and underline the urgent need for interventions that can lead drivers to adopting more sustainable driving behaviour.
