Optimal Speed Model of Urban Underwater Tunnel Based on CO 2 Emissions Factor

Ying Chen, Zhigang Du, Fangtong Jiao and Shuyang Zhang
Additional contact information
Ying Chen: School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
Zhigang Du: School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
Fangtong Jiao: School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
Shuyang Zhang: School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China

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

Abstract: This study aims to reduce air pollution caused by vehicle emissions in confined spaces and realize low-carbon travel in urban underwater tunnels. Based on the MEET (Methodologies for Estimating Air Pollutant Emissions from Transport) and COPERT (Computer Programme to Calculate Emissions from Road Transport) models, combined with real vehicle test data, an urban underwater tunnel speed–CO 2 emissions factor model was constructed. Results show that: Different working conditions have a great impact on the MEET model; load and slope factors expand the actual CO 2 emissions factor, which is different from the actual situation. The CO 2 emissions factor in the COPERT model is negatively correlated with the speed, and there are fewer variables in the model, so the parameters are more controllable and more in line with the actual situation. According to the vehicle gasoline consumption and taking CO 2, i > GC as the judgment index, the optimal limit speed of the ramp is calculated to be 40 km/h, while the main line maintains the existing state of 60 km/h. The model is simple and easy to operate, can be applied to estimate vehicle CO 2 emissions factor at underwater tunnels in other cities, providing a basis for traffic management and effectively realizing low-carbon travel.

Keywords: CO 2 emissions factor; urban underwater tunnel; ramp; road main line; speed optimization (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:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/15/9592/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/15/9592/ (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:15:p:9592-:d:880335

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 ().