Volume 7: Urban Energy Systems: Building, Transport, Environment, Industry, and Integration

A System Dynamics Model for Beijing’s Private New Energy Vehicles Ownership Forecasting Ruiting Wang

Abstract

Beijing has a relative long history in new energy vehicles promotion and achieves series achievements. However, traditional fuel vehicle is still heavily outnumbered. In this paper, we build a system dynamics model to forecast Beijing’s new energy vehicles ownership from 2017 to 2022. The simulation model also helps figure out how the policy, purchase price, psychology and usage affecting private new energy vehicles ownership.

Keywords new energy vehicles, system dynamics, ownership, Beijing