Hybrid modeling of China’s vehicle ownership and projection through 2050

By Hao Han, Hewu Wang, Ran Yi. 2011

123 citations recorded by the source corpus.

As representative for emerging vehicle market, China has one of the fastest growing rates of automobile ownership in the world. The huge and increasing vehicle stock has significantly contributed to the fast growing of China’s energy demand and GHG emissions. It is an important issue to project China’s vehicle ownership, which to a large extent determines China’s oil demand and GHG emissions from road transportation sector in the future. In this study, we established a hybrid model with three sub models to simulate the growth patterns of China’s private passenger vehicles, urban public transport vehicles and economic utility vehicles. By using this model, we projected that China’s vehicle population would reach 184.8, 363.8 and 606.7 million by 2020, 2030 and 2050 respectively. The fast increase of urban private passenger vehicles is the main driving force for vehicle population growth. Population of urban private passenger vehicles would account for 70.1%, 81.1% and 86.1% of total vehicle population in 2020, 2030 and 2050 respectively. It was demonstrated by sensitivity analysis that vehicle population was quite sensitive to household income and vehicle price, implying an effective lever for regulating the growth of vehicle population.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/45b1fe1cb0d8bb408c736df04cd60015f44c219a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

  1. Han Hao
  2. Minggao Ouyang
  3. Yong Geng
  4. Fausto Freire
  5. Xunmin Ou
  6. Gunnar Luderer
  7. Xuning Feng
  8. Languang Lu

In Electrical and Electronic Engineering

  1. Han Hao
  2. Minggao Ouyang
  3. Wenying Chen
  4. Xunmin Ou
  5. Gunnar Luderer
  6. R. Pietzcker
  7. Xuning Feng
  8. Languang Lu

In Renewable Energy, Sustainability and the Environment

  1. Han Hao
  2. Hewu Wang
  3. Minggao Ouyang
  4. Gunnar Luderer
  5. R. Pietzcker
  6. Elmar Kriegler
  7. Page Kyle
  8. Thomas Longden

Citations in the corpus