The Road Freight Industry Green Research Based on Big Data of Heavy-Duty Trucks Operation

DOI

10.2991/978-94-6463-514-0_6How to use a DOI?

Keywords

Transport; road freight; CO2 emissions; green index; GIS; dynamic operation data analysis; heavy-duty trucks

Abstract

Transportation is one of the key areas for energy consumption and greenhouse gas emissions (GHG emissions). Road freight transportation is the core part in CO₂ emissions but difficult to calculate due to strong liquidity characteristics. Based on the dynamic data of heavy-duty trucks Global Positioning System (GPS), this research adopts big data processing and establishes road freight market green index model that reflects the road freight green development. Also, the paper do the case study to analyze the green development of road freight across different provinces, providing quantitative support for energy reduction and emission reduction of road freight market.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xinzi Wang
AU  - Nanxi Zhao
AU  - Junzhong Tang
AU  - Lian Chen
PY  - 2024
DA  - 2024/09/28
TI  - The Road Freight Industry Green Research Based on Big Data of Heavy-Duty Trucks Operation
BT  - Proceedings of the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024)
PB  - Atlantis Press
SP  - 35
EP  - 45
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-514-0_6
DO  - 10.2991/978-94-6463-514-0_6
ID  - Wang2024
ER  -