Study on the optimization of urban passenger traffic structure based on multi-objective linear programming-a case...

Area of Science:

• Urban Planning
• Transportation Engineering
• Environmental Science

Background:

• Increasing car trips in cities exacerbate energy consumption and pollution.
• Private car reliance leads to unbalanced traffic structures and environmental degradation.
• Sustainable urban transportation development necessitates optimizing traffic structures.

Purpose of the Study:

• To propose a multi-objective optimization model for urban transportation.
• To maximize transportation utility, minimize ecological impact, and minimize generalized cost.
• To evaluate and compare different optimization methods for traffic structure.

Main Methods:

• Developed a multi-objective optimization model considering transportation utility, ecological impact, and generalized cost.
• Applied and compared the ideal point method, linear weighting method, and hierarchical sequence method.
• Validated the model using case study analysis for Beijing's urban passenger traffic.

Main Results:

• The ideal point method proved most suitable for optimizing urban traffic structure.
• The optimized model achieved a more scientific and reasonable urban passenger traffic turnover and sharing rate.
• The model successfully balanced passenger interests, reduced carbon emissions, and minimized generalized costs.

Conclusions:

• The proposed model effectively supports sustainable urban transportation development.
• The ideal point method offers a feasible approach for optimizing traffic structures in major cities.
• Findings provide actionable insights for relevant authorities to improve urban mobility and environmental outcomes.