Analysis of the Characteristics of Real-World Emission Factors and VSP Distributions—A Case Study in Beijing

Weinan He (), Lei Duan, Zhuoyuan Zhang, Xu Zhao and Ying Cheng
Additional contact information
Weinan He: School of Environment, Tsinghua University, Beijing 100084, China
Lei Duan: School of Environment, Tsinghua University, Beijing 100084, China
Zhuoyuan Zhang: Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China
Xu Zhao: Beijing Key Laboratory of Transport Energy Conservation and Emission Reduction, Beijing Transport Institute, Beijing 100073, China
Ying Cheng: Beijing Key Laboratory of Transport Energy Conservation and Emission Reduction, Beijing Transport Institute, Beijing 100073, China

Sustainability, 2022, vol. 14, issue 18, 1-14

Abstract: Vehicle emissions intensity at a given travel speed is well known among the public since travel speed is the key parameter in both the traffic model and the emission model. Yet, several problems still remain in traditional approaches of measuring the emission intensity. To establish accurate and high-resolution emission factors, an established method of emission factors is proposed based on the real-time monitoring operation conditions data, which can reflect the effect of dynamic traffic changes on emissions. The speed-specific vehicle-specific power (VSP) distributions of different months, as well as those in different vehicles in Beijing were developed and compared. Statistical analyses such as Coefficient of Variation (CV) and Root Mean Square Error (RMSE) were used to quantify the differences in the VSP distribution. The results showed the significant correlation between the distribution of VSP, velocity, and operating patterns at time intervals within the annual range. Driving conditions in 2021 are more eco-friendly because of the improvement of digital development and driving habits. Furthermore, research on CO, HC, and NOx emission factor situations in different cycles revealed that the emission factors of NOx and HC are always underestimated in typical operating modes, while sometimes the emissions of CO are overvalued.

Keywords: VSP distribution; operating mode distribution; dynamic emission factor estimation (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 (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/18/11512/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/18/11512/ (text/html)

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:gam:jsusta:v:14:y:2022:i:18:p:11512-:d:914712

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().