讲座题目：Universal laws of matching probability, routing distance and detour distance in on-demand ride-sourcing markets
摘要：By serving two or more passenger requests in each ride in ride-sourcing markets, ride-splitting (or ride-sharing) services are now becoming an important component of shared smart mobility for improving vehicle utilization and alleviate traffic congestion. Three key measures in ride-splitting services are of great interest. The first one is the proportion of passengers who are pool-matched (referred to as pool-matching probability), the second is passengers’ average detour distance, and the third is drivers’ routing distance to pick-up and drop-off all passengers with different origins and destinations in one ride-splitting service. The values of these measures are critically dependent on the passenger demand for ride-splitting and matching strategies. Due to complexity of the ride-sourcing market, it is difficult to analytically establish the relationships between these measures and passenger demand. This study empirically ascertains these relationships of interest through extensive experiments based on the actual on-demand mobility data obtained from Chengdu, Haikou, and Manhattan. It is surprising that the relationships between the three aforementioned measures and the number of passengers in the matching pool can be well fitted by some simple curves (with fairly high goodness-of-fit), or elegant empirical laws exist to speak about the relationships. Our findings are insightful and useful for our understanding of right-sourcing markets.
简介：杨海，香港科技大学土木与环境工程学系讲座教授。他在交通运输系统分析、建模与优化前沿工作近三十年，成果显著，已发表SCI/SSCI论文240多篇。2011年获得国家自然科学二等奖，2012年被教育部聘为长江学者讲座教授，2013年当选国际交通与运输理论会议(ISTTT)国际顾问委员会委员。2013至2018年担任交通运输领域最具权威和认可度最高的国际学术期刊《Transportation Research Part B: Methodological》自1967年创刊以来的第三任主编，现在是该期刊的杰出（荣誉）编委。