Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 5, Issue 2


Published
on

November 16, 2020


Pages


DOI

Article

Prediction of Chinese Automobile Growing Trend Considering Vehicle Adaptability based on Cui–Lawson Model

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Authors

Jia Feng Affiliation:
Key Laboratory of Operation Safety Technology on Transport Vehicles, Beijing 100088, China
, Meng Meng Affiliation:
School of Management, University of Bath, Bath, BA27AY, UK
, Shanshan Liu Affiliation:
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
, Xin Zhang Affiliation:
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
, Jie Yuan Affiliation:
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
and Zengyong Zhang Affiliation:
CRRC Academy, Beijing 100070, China


Abstract

The rapid growth of fossil fuels and the aggravation of emission pollution can be improved by the green and diversified energy structure of road transport vehicles. In this article, Cui–Lawson model is first introduced to analyse the change trend of pure electric vehicle, hybrid electric vehicle, gas–fuel vehicle, fuel cell vehicle, biofuel vehicle and traditional vehicle in the next 50 years. Considering the climate, environment and economic development of each region, the future ownership of the above six models was studied by region. Moreover, the climate and topography affect the developing trend strongly. The ownership of traditional automobile is more than other kinds of vehicles until 35 and 40 years in Xibei and Dongbei regions for the cold temperature.


Keywords

road transport, power source, population competition model, life cycle, E4343


Citation

Feng, J., Meng, M., Liu, S., Zhang, X., Yuan, J., & Zhang, Z. (2020). Prediction of chinese automobile growing trend considering vehicle adaptability based on cui–lawson model. Applied Mathematics and Nonlinear Sciences, 5(2). https://doi.org/10.2478/amns.2020.2.00054

Published by: Engineering Journals

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