Authors:
- Introduces data science for students of transport studies, geography and the geosciences, as well as transport professionals
- The only book to integrate the whole stack of transport data analysis
- Addresses a range of aspects, from setting up practical database software and scraping web data, to Bayesian analysis, dashboard visualization, big data, and privacy ethics
- Comes with an easy-to-use software installer that sets up the complete software stack to run the Python, GIS, machine learning, and big data examples
Part of the book series: Springer Textbooks in Earth Sciences, Geography and Environment (STEGE)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
About this book
"Transport modeling practice was developed in a data poor world, and many of our current techniques and skills are building on that sparsity. In a new data rich world, the required tools are different and the ethical questions around data and privacy are definitely different. I am not sure whether current professionals have these skills; and I am certainly not convinced that our current transport modeling tools will survive in a data rich environment. This is an exciting time to be a data scientist in the transport field. We are trying to get to grips with the opportunities that big data sources offer; but at the same time such data skills need to be fused with an understanding of transport, and of transport modeling. Those with these combined skills can be instrumental at providing better, faster, cheaper data for transport decision- making; and ultimately contribute to innovative, efficient, data driven modeling techniques of the future. It is not surprising that this course, this book, has been authored by the Institute for Transport Studies. To do this well, you need a blend of academic rigor and practical pragmatism. There are few educational or research establishments better equipped to do that than ITS Leeds".
- Tom van Vuren, Divisional Director, Mott MacDonald
"WSP is proud to be a thought leader in the world of transport modelling, planning and economics, and has a wide range of opportunities for people with skills in these areas. The evidence base and forecasts we deliver to effectively implement strategies and schemes are ever more data and technology focused a trend we have helped shape since the 1970's, but with particular disruption and opportunity in recent years. As a result of these trends, and to suitably skill the next generation of transport modellers, we asked the world-leading Institute for Transport Studies, to boost skills in these areas, and they have responded with a new MSc programme which you toocan now study via this book."
- Leighton Cardwell, Technical Director, WSP.
"From processing and analysing large datasets, to automation of modelling tasks sometimes requiring different software packages to "talk" to each other, to data visualization, SYSTRA employs a range of techniques and tools to provide our clients with deeper insights and effective solutions. This book does an excellent job in giving you the skills to manage, interrogate and analyse databases, and develop powerful presentations. Another important publication from ITS Leeds."
- Fitsum Teklu, Associate Director (Modelling & Appraisal) SYSTRA Ltd
"Urban planning has relied for decades on statistical and computational practices that have little to do with mainstream data science. Information is still often used as evidence on the impact of new infrastructure even when it hardly contains any valid evidence. This book is an extremely welcome effort to provide young professionals with the skills needed to analyse how cities and transport networks actually work. The book is also highly relevant to anyone who will later want to build digital solutions to optimise urban travel based on emerging data sources".
- Yaron Hollander, author of "Transport Modelling for a Complete Beginner"
Authors and Affiliations
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Institute for Transport Studies, University of Leeds, Leeds, United Kingdom
Charles Fox
About the author
Dr. Fox holds a first class MA degree in Computer Science from the University of Cambridge, MSc with Distinction in Informatics from the University of Edinburgh, and a DPhil in Pattern Analysis and Machine Learning from the Robotics Research Group at the University of Oxford.
He has workedas a researcher in robotics and data-driven speech recognition at the University of Sheffield for users including the BBC, NHS and GCHQ, and as a high frequency data-driven trader for London hedge fund Algometrics Ltd.
He has published 50 conference and journal papers cited 800 times and has h-index 15. He is a director of Ibex Automation Ltd which advises hedge fund and venture capital clients and is available for consultancy and R&D work in Data Science and Robotics.
Bibliographic Information
Book Title: Data Science for Transport
Book Subtitle: A Self-Study Guide with Computer Exercises
Authors: Charles Fox
Series Title: Springer Textbooks in Earth Sciences, Geography and Environment
DOI: https://doi.org/10.1007/978-3-319-72953-4
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-72952-7Published: 13 March 2018
Softcover ISBN: 978-3-030-10291-3Published: 26 January 2019
eBook ISBN: 978-3-319-72953-4Published: 27 February 2018
Series ISSN: 2510-1307
Series E-ISSN: 2510-1315
Edition Number: 1
Number of Pages: XVII, 185
Number of Illustrations: 28 b/w illustrations, 49 illustrations in colour
Topics: Landscape/Regional and Urban Planning, Transportation Technology and Traffic Engineering, Statistics and Computing/Statistics Programs, Information Systems and Communication Service, Regional/Spatial Science