Study on urban residents’ travel mode choice based on the CART-Apriori method

Key Points

• Travel mode choice depends on various influencing factors, as identified using the CART-Apriori method.
• Findings indicate significant decision trees that categorize urban residents' travel preferences based on specific criteria.
• Analysis involves applying decision tree algorithms to assess travel patterns among urban residents across different scenarios.
• Highlights the need for tailored urban planning strategies based on comprehensive travel behavior insights.