An Evaluation of the Low-Carbon Effects of Urban Rail Based on Mode Shifts

Feng Chen, Xiaopeng Shen, Zijia Wang and Yang Yang
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Feng Chen: School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China
Xiaopeng Shen: School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China
Zijia Wang: School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China
Yang Yang: School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China

Sustainability, 2017, vol. 9, issue 3, 1-12

Abstract: Urban rail is widely considered to be a form of low-carbon green transportation, but there is a lack of specific quantitative research to support this. By comparing the mode, distance, and corresponding energy consumption of residents before and after the opening of rail transit, this paper establishes a carbon reduction method for rail transit. A measurement model takes the passenger carbon emissions before the line is opened as the baseline and compares them with the standard after the opening, determining the carbon emissions reduction. The model requires a combination of a large amount of research data, transit smart card data, and GIS network measurement tools as measured data and parameters. The model is then applied to rail transit lines that have opened in Beijing in recent years. The emissions reductions of four different routes are estimated and the carbon emissions reduction effect of rail transit is evaluated.

Keywords: urban rail; mode shift; carbon reduction; smart card data (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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