Dual‐Layer Dynamic Optimization Model for Carbon‐Conscious Transport Mode Allocation

Journal of Advanced Transportation, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

Within the framework of China’s “Dual Carbon” strategy, numerous cities have articulated visions and objectives for optimizing travel structure transport to further urban sustainable development goals. A critical challenge lies in minimizing CO 2 emissions from road networks while meeting diverse demands. However, at present mode shares are set arbitrarily may not be realistically achievable. When government officials establish targets, they adequately consider intricate balance between residents’ demands low‐carbon objectives. To address this issue, paper presents a dual‐layer optimal allocation model modes, which simultaneously addresses demand management carbon emission control. The upper‐layer evaluates with help speed‐dependent factors various lower‐layer leverages logit Stochastic User Equilibrium (logitSUE) yield velocities segments under array structures. sophisticated fusion algorithm, integrating Dial_MSA algorithm genetic (GA), is developed solve model. proposed tested on large‐scale real network show its robustness scalability. derived study can provide theoretical foundation empirical support policymakers planners setting infrastructure goals strategies.

Язык: Английский

Moving beyond assumptions: stop times and key determinants for pick-ups and drop-offs in ridepooling systems

Transportmetrica A Transport Science, Год журнала: 2025, Номер unknown, С. 1 - 20

Опубликована: Фев. 17, 2025

Язык: Английский

A co-simulation system that integrates MATSim with a set of external fleet simulations

Simulation Modelling Practice and Theory, Год журнала: 2024, Номер 134, С. 102957 - 102957

Опубликована: Май 9, 2024

Язык: Английский