司徒惠源教授长期从事交通网络设计问题、交通网络不确定性和可靠性、绿色交通、公共自行车交通、动态交通分配问题、智能交通系统、公共交通、优化算法等领域的研究。先后在国际SCI或SSCI检索刊物上录用或发表论文130余篇，2篇发表在管理科学与运筹学领域顶级期刊《Operations Research》上，30余篇发表在交通科学顶级期刊《Transportation Research Part B》上，5篇论文在交通科学顶级国际会议ISTTT上宣读，其他论文主要发表在《Transportation Research Part A》、《Transportation Research Part C 》、《Transportation Research Part D》、《Transportation Research Part E 》等SCI国际刊物上。司徒惠源教授现担任《Transportmetrica B》和《Open Engineering》的编辑，《Networks and Spatial Economics》和《International Journal of Transportation》等国际期刊的区域编辑；并担任《Journal of Intelligent Transportation Systems》、《Transportmetrica A》等国际期刊的副主编；还担任《Transportation Research Part B》、《Networks and Spatial Economics》等8个国际期刊的客座编辑，以及《Transportation Research Part C》、《Transportation Research Part D》、《Transportation Research Part E》等8个国际期刊的编委。
报告题目：Optimal sectional fare and frequency settings for transit networks with elastic demand
Sectional fares have been used in transit services in practice but are rarely examined analytically and compared with flat and distance-based fares, especially under the considerations of path choice, elastic demand, service frequency, and profitability. This paper proposes a bilevel programming model to jointly determine the fare and frequency setting to maximize transit operator's profit. The preceding three fare structures can be incorporated into the bilevel model. To consider the path choice and elastic demand in the bilevel model, the existing approach-based stochastic user equilibrium transit assignment model for the fixed demand was extended to the elastic demand case and the resultant model was used in the lower level model. To solve the bilevel model, the sensitivity-based descent search method that takes into account the approach-based formulation for the elastic demand transit assignment is proposed, in which the approach-based formulation was solved by the cost-averaging self-regulated averaging method. Numerical studies and mathematical analyses were performed to examine the model properties and compare the three fare structures. The result of the Tin Shui Wai network instance is also provided to illustrate the performance of the solution method.
报告题目：Taxi Service Area Design: Formulation and Analysis
Multiple taxi types with different service areas exist in practice. However, to the best of our knowledge, there is no methodology to determine the best service region of each type of restricted area taxi in a taxi market. It is also unclear what the determinant factors are for the design. This study proposes a nonlinear mixed integer programming model to determine the service areas. The objective is to maximize social welfare. A greedy heuristic is developed to solve the model. Numerical examples are given to show the performance of the heuristic and the determinant factors for the design.