The use of private vehicles dominates travel compared to public transportation which has a significant impact on students’ routine trips to school. The use of private vehicles by students, especially those without a driver’s license is still very high. Despite the availability of alternatives, a gap exists in understanding students’ transportation preferences and potential demand for safer options. In light of the fact that accidents among students contribute to the highest number of accident cases. This study aims to provide recommendations for alternative transportation for students in Majalengka as a form of policy intervention, through analysis using the multinomial logistic regression method. This analysis identifies variables that influence the choice of transportation mode based on statistical principles. then models and calculates potential demand based on existing scenarios. The results of analysis show the value of potential demand for various alternative transportation modes other than private vehicles such as electric bicycles, school transportation, and public transportation. with the highest potential demand for school transportation modes. Therefore, the implementation plan for alternative transportation for students needs to be considered from quantitative and legal aspects, adjusted to the priority scale and level of urgency set by stakeholders responsible for transportation in the local government.


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    Title :

    Characteristics of Mode Choice of Student Transportations: A Policy Approach for Safer School Commutes


    Contributors:


    Publication date :

    2024




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




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