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Bus Stop Usage Evaluation And Brt Station Selection Strategy By Machine Learning Methods, Tianchi Zhang
Bus Stop Usage Evaluation And Brt Station Selection Strategy By Machine Learning Methods, Tianchi Zhang
Legacy Theses & Dissertations (2009 - 2024)
According to Commuting in the United States 2009, 86.1% of Americans commuted by car, light truck, or van, and about three-quarters of these individuals were driving alone, causing traffic congestion and raising environmental and energy-saving concerns in society. Therefore, transportation experts encourage the public to take public transportation and recommend the development of Bus Rapid Transit (BRT). Currently, bus service restructuring and BRT plans are based on rider surveys, community meetings and on-street interviews. However, these methods require large investments in manpower and material resources, and produce potentially biased results. In this research, the author used the machine learning method, …