Carbon Emission Measurement of Urban Green Passenger Transport: A Case Study of Qingdao

Xinguang Li, Tong Lv, Jun Zhan, Shen Wang and Fuquan Pan
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Xinguang Li: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266500, China
Tong Lv: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266500, China
Jun Zhan: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266500, China
Shen Wang: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266500, China
Fuquan Pan: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266500, China

Sustainability, 2022, vol. 14, issue 15, 1-16

Abstract: Urban passenger transport is one of the most significant sources of fossil energy consumption and greenhouse gas emission, especially in developing countries. The rapid growth of urban transport makes it a critical target for carbon reduction. This paper establishes a method for calculating carbon emission from urban passenger transport including ground buses, private cars, cruising taxis, online-hailing taxis, and rail transit. The scope of the study is determined according to the transportation mode and energy type, and the carbon emission factor of each energy source is also determined according to the local energy structure, etc. Taking into consideration the development trend of new energy vehicles, a combination of “top-down” and “bottom-up” approaches is used to estimate the carbon dioxide emission of each transportation mode. The results reveal that carbon emission from Qingdao’s passenger transport in 2020 was 8.15 million tons, of which 84.31% came from private cars, while the share of private cars of total travel was only 45.66%. Ground buses are the most efficient mode of transport. Fossil fuels emit more greenhouse gases than other clean energy sources. The emission intensity of hydrogen fuel cell buses is better than that of other fuel type vehicles. Battery electric buses have the largest sensitivity coefficient, therefore the carbon emission reduction potentially achieved by developing battery electric buses is most significant.

Keywords: traffic carbon emission; urban passenger transport; carbon emission calculation; emission factors; sensitivity analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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