Carbon credit in travel demand management: an incentive-based framework for emission reduction

• Using carbon credit as incentive improves environmental and financial sustainability. • A bilevel model captures the interplay between project designers and travelers. • The proposed approach reduces emissions by 40.3 % and lowers project costs by 20.7 %. • Case study reveals that emission reductions lead to increased travel time. Urban transportation has become a dominant source of U.S. greenhouse-gas (GHG) emissions. To mitigate these emissions, this study embeds carbon credits into incentive-based travel demand management (IBTDM) programs and models the designer-traveler interaction as a bilevel optimization: the upper level minimizes system emissions, incentive costs, and total travel time, while the lower level captures travelers’ mode-choice responses to time, cost, and credit incentives. Calibrated with 21,285 trips from the incenTrip mobile application across the Washington, D.C.-Maryland-Virginia corridor, the optimized policy cuts system-wide emissions by 40.3 % and offsets up to 20.7 % of operating costs through generated carbon credits. However, these gains come at a price of 14.6 % longer total travel time, illustrating the inherent trade-off between emission reduction and travel efficiency. Overall, the framework offers a financially sustainable roadmap for scaling app-based IBTDM programs that advance both environmental and economic goals.

Authors

Institutions

Publication Details

Journal
Transportation Research Part D Transport and Environment
Published
2025-11-25
DOI
https://doi.org/10.1016/j.trd.2025.105041
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Carbon credit in travel demand management: an incentive-based framework for emission reduction

Chenfeng Xiong, Dongyang Zhen, Kailun Liu, Xin Wu et al.
Transportation Research Part D Transport and Environment
Vehicle emissions and performance
article

Carbon credit in travel demand management: an incentive-based framework for emission reduction

Chenfeng Xiong, Dongyang Zhen, Kailun Liu, Xin Wu, Ya Ji, Qingbin Cui
article en

Abstract

• Using carbon credit as incentive improves environmental and financial sustainability. • A bilevel model captures the interplay between project designers and travelers. • The proposed approach reduces emissions by 40.3 % and lowers project costs by 20.7 %. • Case study reveals that emission reductions lead to increased travel time. Urban transportation has become a dominant source of U.S. greenhouse-gas (GHG) emissions. To mitigate these emissions, this study embeds carbon credits into incentive-based travel demand management (IBTDM) programs and models the designer-traveler interaction as a bilevel optimization: the upper level minimizes system emissions, incentive costs, and total travel time, while the lower level captures travelers’ mode-choice responses to time, cost, and credit incentives. Calibrated with 21,285 trips from the incenTrip mobile application across the Washington, D.C.-Maryland-Virginia corridor, the optimized policy cuts system-wide emissions by 40.3 % and offsets up to 20.7 % of operating costs through generated carbon credits. However, these gains come at a price of 14.6 % longer total travel time, illustrating the inherent trade-off between emission reduction and travel efficiency. Overall, the framework offers a financially sustainable roadmap for scaling app-based IBTDM programs that advance both environmental and economic goals.

Transportation Research Part D Transport and EnvironmentVol. 150
University of Maryland, College Park (US), Villanova University (US)
Openalex Percentile: Top 61%
Vehicle emissions and performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.