Data Science for Transport

The book emphasizes the growing importance of data management and analysis skills in the transportation sector amidst the rise of big data and smart cities. It highlights the need for transportation professionals to rigorously test their mathematical models against empirical data rather than relying on assumptions. With a practical approach, it guides readers through the use of Data Science tools to address transport challenges, while also addressing relevant business and ethical considerations in the field.