Towards Better Bus Networks: A Visual Analytics Approach.

Area of Science:

• Urban Planning
• Data Visualization
• Transportation Engineering

Background:

• Bus route updates are infrequent (3-5 years) despite changing travel demands, leading to network inefficiencies.
• Analyzing complex bus networks and evaluating alternative routes is challenging for automated systems.
• Existing methods often require extensive manual review, limiting their real-world applicability.

Purpose of the Study:

• To develop a visual analytics solution for analyzing bus route network performance.
• To facilitate the interactive generation and evaluation of improved bus route candidates.
• To address the challenges of complex network analysis, route generation, and candidate evaluation.

Main Methods:

• An overview-to-detail approach is used for analyzing bus network complexity across three levels.
• An improved route generation model with tailored visualizations interprets performance.
• A conflict resolution strategy aids in evaluating alternative routes for optimal selection.

Main Results:

• The visual analytics system enables efficient identification of deficient bus routes.
• Interactive generation and visualization support the creation of improved route candidates.
• The integrated conflict resolution assists in progressive decision-making for optimal route selection.

Conclusions:

• The proposed visual analytics solution effectively supports bus route performance analysis and incremental planning.
• The system addresses key challenges in complex network analysis, route generation, and evaluation.
• Expert feedback on real-world data scenarios indicates positive reception and utility.