Passenger and freight travel patterns: A cluster analysis based on urban networks

Area of Science:

• Urban Network Theory
• Transportation Geography
• Logistics Studies

Background:

• Existing research on urban travel patterns predominantly focuses on passenger movement.
• Freight travel patterns and their network structures remain significantly underexplored.
• Understanding both passenger and freight flows is crucial for comprehensive urban planning.

Purpose of the Study:

• To analyze and compare passenger and freight travel patterns and urban network structures.
• To investigate the differences in human and logistics flows using urban network theory.
• To identify central areas and spatial interaction characteristics for both travel types.

Main Methods:

• Utilized origin-destination (OD) data encompassing travel volume, purpose, and mode.
• Applied regular equivalence and power centrality to analyze network structures.
• Examined travel patterns and central area differences across South Korea.

Main Results:

• Freight travel exhibits higher density and intensity across all distances compared to predominantly short-distance passenger travel.
• Passenger travel forms multiple, smaller, short-distance clusters, while freight travel creates fewer, larger, long-distance clusters.
• Spatial interaction in passenger travel is distance-dependent, unlike freight travel, which can have longer central area distances due to optimized logistics.

Conclusions:

• Freight and passenger travel exhibit distinct network structures and spatial interaction patterns.
• Urban network theory provides valuable insights into the differences between human and logistics flows.
• Findings support the development of differentiated spatial planning strategies based on urban hierarchy and travel type.