Publication: Urban Transport and CO2 Emissions : Some Evidence from Chinese Cities
Date
2009-06
ISSN
Published
2009-06
Author(s)
Darido, Georges
Torres-Montoya, Mariana
Mehndiratta, Shomik
Abstract
This working paper provides a bottom-up
estimate of energy use and Green-House Gas (GHG) emissions
for the transport sector based on data available at the city
and municipal levels. For urban transport in China, GHG
emissions primarily consist of carbon dioxide (CO2), so
these terms are used interchangeably. Energy use and CO2
emissions are also highly correlated based on the
predominance of fossil fuels in transport. A database of
self-reported indicators was developed and verified for the
fourteen participating cities of the China World Bank-Global
Environment Facility (GEF) Urban Transport Partnership
Program. Other supplemental sources were also used to enrich
the dataset for urban transport and energy analysis, namely
the most recent China City Statistical Yearbooks. Beijing
and Shanghai were also included where data was available
from existing studies given their relevance in broad
comparison of Chinese cities. Section two discusses the
general demographic and economic trends in the sample of
cities that may be influencing the sector. Section three
points to stylized facts about the most relevant urban
transport demand, supply and performance characteristics in
recent years and suggests how they may be driving energy
consumption and GHG emissions. Section four is the analysis
and forecast of energy use and GHG emissions using the urban
transport drivers identified. Finally, general conclusions
and next steps are suggested in section five, as well as
additional details on the data, methodology, definitions,
and a map of China with the seventeen selected cities in the annexes.
Link to Data Set
Citation
“Darido, Georges; Torres-Montoya, Mariana; Mehndiratta, Shomik. 2009. Urban Transport and CO2 Emissions : Some Evidence from Chinese Cities. © World Bank, Washington, DC. http://hdl.handle.net/10986/18863 License: CC BY 3.0 IGO.”