Optimization of bus stop layout considering multiple factors including passenger flow direction.

Area of Science:

• Urban Planning and Transportation Science
• Geographic Information Systems (GIS)
• Operations Research

Background:

• Efficient bus stop layout is crucial for urban transit, influenced by population distribution, traffic, and passenger demand.
• Current methods often overlook the alignment between passenger origin-destination (OD) flows and walking directions to bus stops.
• Optimizing bus stop placement can significantly reduce passenger travel time and increase the overall attractiveness of public transportation.

Purpose of the Study:

• To introduce a strategic method for optimizing bus stop layout from a macro perspective.
• To enhance the alignment between passenger OD directions and walking paths to bus stops.
• To reduce passenger travel time and improve the efficiency and attractiveness of urban bus systems.

Main Methods:

• Utilized hypernetwork multidimensional data clustering and GIS technology to construct an alternative bus stop set.
• Developed a two-stage decision-making model for bus stop layout optimization.
• Incorporated factors like population, traffic district area, road conditions, and passenger flow matching degree.

Main Results:

• Achieved a 15.83% increase in the alignment between passenger flow direction and bus stop layout in XT city.
• Reduced average passenger travel time by 7.55 minutes.
• Demonstrated the effectiveness of the proposed optimization approach through a case study.

Conclusions:

• The proposed strategic method effectively optimizes bus stop layout by considering passenger flow and walking directions.
• The optimization significantly improves travel efficiency and passenger experience in urban bus systems.
• The approach provides a valuable framework for planning and relocating bus stops in urban environments.