The 12th International Workshop on Computational Transportation Science (CTS) is held in Harbin, China in July, 2021. Zhixiong Luo participated the workshop and won the Best Paper Award. The title of awarded paper is “Joint Deployment of Low Emission Zones and Electric Vehicle Charging Stations”.

Traffic emission problems and emerging electric vehicle technologies both attract researchers' attention. This study focuses on the optimal joint design of charging stations and low emission zone (LEZ) policy (a control area in which the gasoline vehicle and gasoline-mode plug-in hybrid electric vehicle are tolled) to help manage the time and emission costs associated with mixed-type vehicles with different power sources. Specifically, we first propose a set of mixed-integer linear constraints to identify a valid LEZ layout. We then develop three label-setting algorithms to solve the routing, charging, and mode choice for gasoline vehicles, battery electric vehicles, and plug-in hybrid electric vehicles, considering emission tolls and recharging behaviors. We next formulate the traffic equilibrium with mixed-type cars into a convex program. Based on the above models, we develop a bi-level multi-objective program considering time costs and emission cots to simultaneously design charging station deployment, LEZ layout, and LEZ toll. Two specially designed algorithms solve the corresponding Pareto frontier. Numerical studies demonstrate the effectiveness of our models and algorithms and reveal some essential managerial insights.