摘要
网约共享出行是智慧城市交通系统的重要组成部分,作为新兴的移动互联出行方式,产生了海量庞杂、异质多源、大尺度时空关联的交通大数据,蕴含能够描述复杂交通系统供需态势的丰富信息。从网约共享出行行为机理、平台管理优化、政府监管政策、系统仿真优化等4个方面,综述了国内外网约共享出行研究的基础理论前沿和交通运输管理实践成果,归纳总结了其中存在的问题。通过移动互联交通大数据,分析网约车乘客和司机的出行行为影响因素、特征辨识及外部性,追踪城市个体和群体的出行行为演变规律,揭示网约共享出行系统供需平衡和网络均衡机理。研究解决网约共享出行供需的时空效应及短时预测问题,优化网约共享出行平台定价策略,提高平台匹配和调度效率,实现供需时空资源的优化配置。利用智能体仿真、基于活动的仿真、数据驱动的仿真等技术手段对理论结果进行模拟推演和优化验证,为政府制定相关监管政策和平台优化运营管理策略提供理论依据和工具支持。并面向复杂动态移动互联环境,展望了亟须开展的若干重点研究方向。
App-based ridesharing mobility is an essential component of intelligent urban transportation systems.As an emerging mobile internet travel mode,it generates massive,complex,heterogeneous,multi-source,large-scale,and spatially-temporally correlated transportation big data,which contain rich information that can describe the supply and demand situations of complex transportation systems.This paper reviews the state-of-the-art and practical results of transportation management from the four aspects of app-based ridesharing mobility travel behavior mechanism,platform management optimization,government regulatory policies,and system simulation optimization,then summarizes the existing problems.Through the mobile internet transportation big data,the paper analyzes the influencing factors,characteristics identification,and the externalities of passengers'and ride-sourcing drivers'travel behaviors,tracks travel behavioral evolutions both on the individual and population levels,and reveals the balancing mechanism of supply and demand,as well as network equilibrium of the app-based ridesharing mobility system.We study to solve the spatial-temporal effect and short-term prediction problem of ridesharing demand and supply,optimize the pricing strategy of the app-based ride-sourcing platform,improve the platform matching and dispatching efficiency,and realize the optimal allocation of the spatial-temporal resources of supply and demand.By using the technologies of agent-based simulation,activity-based simulation,and data-driven simulation,the above results can be simulated and optimized to provide a theoretical basis and supporting tool for the government to formulate relevant regulatory policies and the platform to optimize operation management strategies.Finally,facing the complex dynamic mobile internet environment,we prospect some key research directions.
作者
陈喜群
CHEN Xi-qun(College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310058,China)
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2021年第5期77-90,共14页
Journal of Transportation Systems Engineering and Information Technology
基金
国家自然科学基金(71922019,71771198)。
关键词
城市交通
网约共享出行
出行行为
平台管理
监管政策
系统仿真
urban traffic
App-based ridesharing mobility
travel behavior
platform management
regulation policy
system simulation
