Designing a carbon-trading incentive scheme for mode shifts in multi-modal transport systems

The pressing need to reduce greenhouse gas emissions triggers the imperative for efficient travel demand management. Previous studies have explored budget-based and aggregated incentive programs, which place a significant financial burden on governments and tend to be limited in contributing to effective behavior change in practice due to budget issues. This study proposes a personal carbon trading travel incentive (PCTTI) mechanism, to encourage private car commuters shifting to using public transit. The incentive budget for PCTTI is sourced from the revenue generated through selling carbon emission reductions resulting from commuters’ travel mode shifts. To determine the optimal incentives, the authors developed an incentive scheme optimization model based on the Stackelberg game model. Numerical analysis reveals the significant potential of the PCTTI to reduce carbon emissions and travel costs across various scenarios within a multi-modal transportation system. This potential is evident amidst changes in the fixed costs of car travel, carbon trading prices, the use of different travel modes, the value of time, and the prevalence of electric vehicles. The advantages are most pronounced when the carbon trading price exceeds 40 CNY/ton, and when the usage of public transit, the value of time, and the proportion of electric vehicles each fall below 0.4, 50 CNY/hour, and 0.4, respectively.

• Record URL:
  • https://doi.org/10.1016/j.tre.2024.103789
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1366554524003806
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Abstract reprinted with permission of Elsevier.
• Authors:
  • Liu, Bing
  • Ma, Xiaolei
  • Liu, Wei
  • Ma, Zhenliang
• Publication Date: 2024-12

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: 103789
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 192
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Automobile drivers; Emissions trading; Incentives; Modal shift; Multimodal transportation; Travel costs
• Geographic Terms: Beijing (China)
• Subject Areas: Environment; Finance; Highways; Public Transportation; Safety and Human Factors;

Filing Info

• Accession Number: 01934628
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 22 2024 9:07AM