Carbon peak simulation and peak pathway analysis for hub-and-spoke container intermodal network

Xiaoyan Guo, Junliang He, Hang Yu and Mei Liu

Transportation Research Part E: Logistics and Transportation Review, 2023, vol. 180, issue C

Abstract: The global consensus on carbon peak and carbon neutral goals extends to the transport sector. This paper provides a method for simulating the carbon emission peak time and peak value within a container intermodal network (CIN). Our approach commences by capturing the fundamental network elements, including nodes, routes, and freight flows, through intermodal network modeling. We then integrate a carbon emission model with scenario analysis, utilizing Monte Carlo simulation to predict the probability of the CIN's carbon emission peak time and value. Finally, using the Yangtze River Delta regional container intermodal network (YRD-CIN) as a case study, 15 scenarios are set up to explore the effects of intermodal transport network development on carbon peaks and peak times under varying conditions in the YRD region. The findings demonstrate the significant influence of modal transport shifts, network connectivity, and energy technology levels on the carbon peak in the YRD-CIN.

Keywords: Carbon peak of intermodal networks; Carbon peak simulation; Transport structuring; Network connectivity; Low carbon transport (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1366554523003204
Full text for ScienceDirect subscribers only

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:eee:transe:v:180:y:2023:i:c:s1366554523003204

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/bibliographic
http://www.elsevier. ... 600244/bibliographic

DOI: 10.1016/j.tre.2023.103332

Access Statistics for this article

Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley

More articles in Transportation Research Part E: Logistics and Transportation Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().