Spatiotemporal patterns and influencing factors in intercity travel within urban agglomerations

Key Points

• Intercity travel patterns show significant variability across urban agglomerations, reflecting diverse influencing factors.
• Key evidence includes peak travel times, urban design features, and transportation options impacting travel behavior.
• Observational analysis identifies spatiotemporal patterns in travel behavior across multiple urban agglomerations.
• Findings suggest targeted urban planning could enhance travel efficiency and reduce congestion, encouraging sustainable mobility.