The Development and Application of Transport Energy Consumption and Greenhouse Gas Emission Calculation Software Based on the Beijing Low-Carbon Transport Research

Weiming Shen (), Feng Chen and Zijia Wang
Additional contact information
Weiming Shen: Beijing Jiaotong University
Feng Chen: Beijing Jiaotong University
Zijia Wang: Beijing Jiaotong University

Chapter Chapter 36 in LTLGB 2012, 2013, pp 237-241 from Springer

Abstract: Abstract According to the established calculation model for energy consumption and greenhouse gas (GHG) emissions from the Beijing low-carbon transport research, a general calculating software visualizing the whole calculation and providing flexible data input interface was developed. The user can calculate the values of energy consumption and GHG emission of urban road transport and rail transit, and do some scenario analysis through the succinct interface of the software and rich parameters to input. This tool allows the transport agencies to analyze transport policies and evaluate the implication of these policies, the analysis can improve the scientific and rationality of the traffic decision-making and ensure the implementation of green transport goals.

Keywords: Transport energy consumption; Greenhouse gas emission; Calculating and predicting; Scenario analysis (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-34651-4_36

Ordering information: This item can be ordered from
http://www.springer.com/9783642346514

DOI: 10.1007/978-3-642-34651-4_36

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().