A machine learning comparison of transportation mode changes from high-speed railway promotion in Thailand

Banyong, Chinnakrit; Hantanong, Natthaporn; Wisutwattanasak, Panuwat; Champahom, Thanapong; Theerathitichaipa, Kestsirin; Seefong, Manlika; Ratanavaraha, Vatanavongs; Jomnonkwao, Sajjakaj

doi:10.1016/j.rineng.2024.103110

Results in Engineering

2024

DOI: 10.1016/j.rineng.2024.103110

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A machine learning comparison of transportation mode changes from high-speed railway promotion in Thailand

Chinnakrit Banyong,

Natthaporn Hantanong,

Panuwat Wisutwattanasak

et al.

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

Kelana,

Hardianto,

Sarjana

et al. 2024

E3S Web Conf.

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

Kelana,

Hardianto,

Sarjana

et al. 2024

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

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A machine learning comparison of transportation mode changes from high-speed railway promotion in Thailand

Cited by 1 publication

References 96 publications

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

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

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