华球城在线注册:2018-09-19
讲座时间:9月25日(周二)10:30—12:00
讲座地点:25教学楼A区Class C教室
主讲人:刘天亮
主讲人简介:
刘天亮博士,现为北京航空航天大学经济管理学院副教授。本科和硕士毕业于青岛大学管理信息系统专业和管理科学与工程专业,博士毕业于北京航空航天大学交通运输规划与管理专业。曾在清华大学管理科学与工程流动站从事博士后研究工作,在香港科技大学、新加坡南洋理工大学和美国西北大学进行访学交流。现任管理科学与工程学会交通运输管理研究会副秘书长、中国管理现代化研究会运作管理专业委员会委员、中国系统工程学会青年工作委员会委员、《交通运输系统工程与信息》刊物编委。2010年获全国百篇优秀博士学位论文提名,2013年获教育部新世纪优秀人才计划支持。主要研究领域:交通行为与运输经济、交通运输系统分析与运营、物流优化与供应链管理。目前主持国家自然科学基金项目1项,完成国家自然科学基金项目2项、中国博士后科学基金面上和特别资助项目各1项。迄今已在Transportation Research (Part A, B, C & E)、European Journal of Operational Research、Transport Policy、管理科学学报、系统工程理论与实践等国内外学术刊物上发表论文30余篇。
讲座内容:
Trip timing choice by auto or by transit has received the increased interest in recent years. In-vehicle crowding is one of important factors impacting the commuting in rail transit systems, which is significantly distinct from the travel by auto. Existing studies on rail transit commuting problems usually assume commuters have the time-invariant perception of in-vehicle crowding, which depends on the number of in-vehicle (standing) passengers per square meter and in-vehicle travel time, but are not directly dependent on time of day. This assumption might be not well consistent with realistic observations, e.g., commuters departing late may have different, generally more, toleration of in-vehicle crowding relative to those departing early, even if facing with the same situations. Taking rail transit commuters’ time-of-use decisions as the starting point, in this talk, I will first introduce six developed departure-time choice models with commuters’ time-varying perception of in-vehicle crowding, and then report the estimated values of in-vehicle crowding by time of day in the morning rail commute using the combined revealed preference-stated preference (SP+RP) data collected in Beijing. This study’s purpose is to answer: (1) Does the value of in-vehicle crowding truly change by time of day during the morning peak hour? (2) If does, how does it change? Is it increasing or decreasing, and concave or convex? Which specific function form is appropriate to be used to express the time-varying crowding disutility preference?