PROGRESS IN GEOGRAPHY ›› 2019, Vol. 38 ›› Issue (11): 1814-1828.doi: 10.18306/dlkxjz.2019.11.016

• Reviews • Previous Articles     Next Articles

Progress of research on influencing factors of CO2 emissions from multi-scale transport

YANG Wenyue1, CAO Xiaoshu2,*()   

  1. 1. College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China
    2. School of Geography Science and Planning, Sun Yat-sen University, Guangzhou 510275, China
  • Received:2018-12-20 Revised:2019-03-28 Online:2019-11-28 Published:2019-11-28
  • Contact: CAO Xiaoshu
  • Supported by:
    National Natural Science Foundation of China, No(41701169);National Natural Science Foundation of China, No(41671160);Philosophy and Social Sciences Planning Project of Guangdong Province, No(GD17YSH01)


Reducing CO2 emissions from transport is a major issue worldwide. It is also an important goal for sustainable urban and transport development. Using bibliometric methods, this article reviews and summarizes the current research situation and trends of global CO2 emissions from transport over the past two decades. On this basis, the article reviews and analyzes the literature on the driving forces of energy consumption and its related CO2 emissions, and the impacts of urban form and neighborhood built environments on CO2 emissions from transport at the national, city, and neighborhood scales, respectively. Our study found that most of the early national-scale studies were based on time-series data, using decomposition methods to explore the main driving forces of transport energy consumption. In recent years, further studies calculated CO2 emissions from transport with a "top-down" approach based on energy consumption data, and explored the impact of socioeconomic, urban form, and transportation development factors on CO2 emissions from transport by constructing panel data models. Early city-scale studies focused on whether compact cities are a low-carbon urban form, mainly using cross-sectional data and correlation analysis methods. In recent years, scenario forecasting, GIS spatial analysis, spatial regression, spatial simulation, and other methods have been further developed to explore the spatial differences of urban transport carbon emissions and their relationships with urban morphology and urban center distribution. For the neighborhood-scale studies, mathematical models were used to examine the effects of residents’ demographics and built environments on CO2 emissions, mainly based on cross-sectional and disaggregated questionnaire survey data. The built environment factors include population density, land-use mix, distance to employment sites or distance to urban centers, road network and intersection density, and the supply level of public transport. At the end of the article, research trends of influencing factors of CO2 emissions from transport in urban China are analyzed with respect to the three aspects of study data, methodology, and research contents.

Key words: transport, travel, CO2 emissions, influencing factors, multi-scale analysis