ArticleScientific reports2025
Study on urban passenger transport carbon reduction pathways based on system dynamics.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 authors.
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Abstract
Passenger transport carbon emission control is recognized as a critical component in achieving the dual-carbon goals amid accelerating urbanization. A system dynamics model incorporating population and economic factors, energy consumption, traffic operation, and carbon emission control has been developed. Through boundary identification and validation of variable relationships, a simulation model has been established. Scenario simulations revealed that, among single-policy interventions, public transit optimization and energy technology upgrades demonstrated greater effectiveness than travel demand management. Dual-policy combinations significantly improved emission reduction efficiency, with effectiveness ranked as follows: public transport and energy technology policies (11.32%), public transport and travel demand policies (10.58%), and energy technology and travel demand policies (8.94%). The findings suggest that single measures are insufficient to meet emission reduction targets. Instead, a multidimensional policy synergy-integrating technological upgrades, structural optimization, and behavioral guidance-is essential in providing a systematic carbon reduction pathway for urban transport development.
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