Modeling framework for alleviating and managing air pollutant emissions for urban taxi vehicles

As a key component of the urban passenger transport system, taxi vehicles provide all-weather, convenient, and comfortable direct service for passengers. Due to the frequent starts and long time lower speed operation, taxi vehicles' air pollutant emissions have been increasing, which has seriously affected the urban overall environmental and urban residents' physical and mental health. This paper attempts to establish a modeling framework for alleviating and managing air pollutants emission for urban taxi vehicles. In accordance with the idea of «data mining → emission factors choosing → pollution distribution → pollution diffusion → emission reduction strategies, » by means of Global Positioning System and Geographic Information System to analyze urban taxi vehicles' air pollutants emissions real-time distribution and diffusion in the urban road network. Through adoption kinds of emission reduction strategies, taxi survey and transportation policies, aiming to reduce taxi vehicles' pollution emissions and improve urban environmental air quality. This framework will be helpful for optimizing taxi operating efficiency, reducing air pollution emissions and improving air quality, which has an important theoretical significance and practical value.