Springer Textbooks in Earth Sciences, Geography and Environment

Data Science for Transport

A Self-Study Guide with Computer Exercises

Authors: Fox, Charles

  • 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
see more benefits

Buy this book

eBook $69.99
price for USA (gross)
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: April 2, 2018
  • ISBN 978-3-319-72953-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $89.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: March 5, 2018
  • ISBN 978-3-319-72952-7
  • Free shipping for individuals worldwide
About this Textbook

The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases. Recent years have seen a new wave of "big data", "Data Science", and "smart cities" changing the world, with the Harvard Business Review describing Data Science as the "sexiest job of the 21st century". Transportation professionals and researchers need to be able to use data and databases in order to establish quantitative, empirical facts, and to validate and challenge their mathematical models, whose axioms have traditionally often been assumed rather than rigorously tested against data. This book takes a highly practical approach to learning about Data Science tools and their application to investigating transport issues. The focus is principally on practical, professional work with real data and tools, including business and ethical issues.
"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 too can 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 toanyone who will later want to build digital solutions to optimise urban travelbased on emerging data sources".
  - Yaron Hollander, author of "Transport Modelling for a Complete Beginner"

About the authors

Dr Charles Fox is a University Academic Fellow in Vehicle and Road Automation at the Institute for Transport Studies, University of Leeds. He researches autonomous off-road, on-road, and road-side perception, control and data analytics systems, using primarily Bayesian methods. Recent projects include IBEX2 off-road autonomous agricultural vehicles, featured in The Times and on the Discovery Channel; INTERACT pedestrian detection analytics for autonomous vehicles, with BMW; UDRIVE data mining of manual car driving big data to identify causes of dangerous driving, with Volvo; and Automated Number Plate Recognition analytics for Mouchel and the Highways Agency. 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 worked as 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.

Buy this book

eBook $69.99
price for USA (gross)
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: April 2, 2018
  • ISBN 978-3-319-72953-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $89.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: March 5, 2018
  • ISBN 978-3-319-72952-7
  • Free shipping for individuals worldwide
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Data Science for Transport
Book Subtitle
A Self-Study Guide with Computer Exercises
Authors
Series Title
Springer Textbooks in Earth Sciences, Geography and Environment
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-72953-4
DOI
10.1007/978-3-319-72953-4
Hardcover ISBN
978-3-319-72952-7
Series ISSN
2510-1307
Edition Number
1
Number of Pages
XV, 187
Number of Illustrations and Tables
28 b/w illustrations, 49 illustrations in colour
Topics