A novel bi-level programming model for structure sustainability optimization of passenger transport corridor

Area of Science:

• Transportation Engineering
• Operations Research
• Sustainable Development

Background:

• The transportation industry is transitioning from quantity expansion to quality improvement and integrated development.
• Traditional transportation corridor mode allocation methods based on quantity equilibrium are insufficient for current demands.
• The need for sustainable development necessitates advanced resource allocation strategies.

Purpose of the Study:

• To propose a novel multi-entity programming model for transportation resource allocation.
• To ensure economic equilibrium between supply and demand in the transportation market.
• To maximize overall social benefits and promote sustainable transportation systems.

Main Methods:

• Development of a multi-entity programming model incorporating economic equilibrium principles.
• Design and application of Globalsearch and intlinprog algorithms for problem-solving.
• Validation using a case study of the Beijing-Shanghai transportation corridor.

Main Results:

• The proposed model effectively balances economic equilibrium and social benefit maximization.
• The Globalsearch and intlinprog algorithms demonstrate efficacy in solving the complex allocation problem.
• The Beijing-Shanghai corridor case study confirms the model's practical applicability and effectiveness.

Conclusions:

• The multi-entity programming model provides a robust framework for optimizing regional transport network resources.
• The developed algorithms offer efficient solutions for complex transportation planning challenges.
• This research offers valuable decision support for achieving sustainable and efficient transportation systems.