Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms
(2022)
Journal Article
Yousefzadeh Barri, E., Farber, S., Jahanshahi, H., & Beyazit, E. (2022). Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms. Journal of Transport Geography, 105, Article 103482. https://doi.org/10.1016/j.jtrangeo.2022.103482
Building an accurate model of travel behaviour based on individuals’ characteristics and built environment attributes is of importance for policy-making and transportation planning. Recent experiments with big data and Machine Learning (ML) algorithm... Read More about Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms.