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【学术通知】香港科技大学教授杨海:Credit Charge-cum-reward Scheme for Green Multi-modal Mobility

  • 发布日期:2023-03-20
  • 点击数:

  

喻园管理论坛2023年第19期(总第842期)

演讲主题: Credit Charge-cum-reward Scheme for Green Multi-modal Mobility

主 讲 人: 杨   海,香港科技大学教授

主 持 人: 李志纯,管理学院管理科学与信息管理系教授

活动时间2023年3月20日(周一)14:00-17:00

活动地点管理大楼107教室

主讲人简介:

Prof. Hai Yang is currently a Chair Professor in the Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology. He received his Bachelor degree from Wuhan University, China, and PhD from Kyoto University, Japan. Prof. Yang specializes in analysis, modeling and optimization of transportation systems and transportation economics. He is internationally known as an active scholar in the field of transportation, with nearly 300 papers published in SCI/SSCI indexed journals and an H-index citation rate of 63. Most of his publications appeared in leading international journals, such as Transportation Research, Transportation Science and Operations Research.

活动简介:

To promote green mobility and alleviate congestion and emissions, this study proposes a credit charge-cum-reward (CCR) scheme where the government determines mode-specific credit charging and rewarding rates and redemption and charging prices to achieve regulation objectives. Over a CCR scheme period, travelers choose either driving by consuming credits or taking transit to cumulate credits to minimize individual travel costs. At the end, the individual credit balance will be settled by the government at a charging(redemption) price for credit deficits (surplus). From the perspective of travelers, we consider their heterogeneity in value of time and characterize their periodic mode usage equilibrium by formulating a decision optimization problem. From the perspective of the government, we derive the condition about the differentiated charging and redemption prices for a Pareto-improving and revenue-neutral CCR scheme. We also investigate how the government can leverage differentiated redemption and charging prices and its credit-related budget to achieve certain objectives. We have proved theoretically and numerically that the proposed CCR scheme flexibly facilitate multi-modal travel demand management by regulating travelers' periodic mode usage behavior via charging and rewarding rates and differentiated charging and redemption prices.

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