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Data Science for Transport: A Self-Study Guide with Computer Exercises (Springer Textbooks in Earth Sciences, Geography and Environment) - Hardcover
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THE QUANTITY, DIVERSITY AND AVAILABILITY OF TRANSPORT DATA IS INCREASING RAPIDLY, REQUIRING&NBSP;NEW SKILLS IN THE MANAGEMENT AND INTERROGATION OF DATA AND DATABASES. RECENT YEARS&NBSP;HAVE SEEN A NEW WAVE OF 'BIG DATA', 'DATA SCIENCE', AND 'SMART CITIES' CHANGING THE&NBSP;WORLD, WITH THE HARVARD BUSINESS REVIEW DESCRIBING DATA SCIENCE AS THE "SEXIEST JOB OF&NBSP;THE 21ST CENTURY". TRANSPORTATION PROFESSIONALS AND RESEARCHERS NEED TO BE ABLE TO USE&NBSP;DATA AND DATABASES IN ORDER TO ESTABLISH QUANTITATIVE, EMPIRICAL FACTS, AND TO VALIDATE&NBSP;AND CHALLENGE THEIR MATHEMATICAL MODELS, WHOSE AXIOMS HAVE TRADITIONALLY OFTEN BEEN&NBSP;ASSUMED RATHER THAN RIGOROUSLY TESTED AGAINST DATA. THIS BOOK TAKES A HIGHLY PRACTICAL&NBSP;APPROACH TO LEARNING ABOUT DATA SCIENCE TOOLS AND THEIR APPLICATION TO INVESTIGATING&NBSP;TRANSPORT ISSUES. THE FOCUS IS PRINCIPALLY ON PRACTICAL, PROFESSIONAL WORK WITH REAL DATA&NBSP;AND TOOLS, INCLUDING BUSINESS AND ETHICAL ISSUES.<BR><P></P><DIV>"<I>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 TECHNIQ
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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.
- 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 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"
Contraportada
This book offers a unique introduction to the application of data science for transport professionals and students of transport studies. Based on a course taught by the Leeds Institute for Transport Studies, the world’s leading center for training transport professionals, it represents the first textbook in this new area.
As transportation planning has become increasingly data-driven, all graduate students and transport professionals urgently need to update their skills to include databases, machine learning, Bayesian statistics, geographic information system (GIS), and big data tools. Similarly, transport professionals including national and local government planners, transport consultants, and car company engineers are called upon to integrate these disparate areas with a specific focus on transportation issues, such as maps.
The textbook also features a downloadable software package with all of the open source tools and libraries used in code examples throughout the book, including Python, Spyder, PostGIS, PyMC and GPy installations. As such, it offers a unique resource for graduate/advanced undergraduate students and instructors in transportation studies, urban and regional planning, engineering and geography, as well as transportation professionals.
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- VerlagSpringer
- Erscheinungsdatum2018
- ISBN 10 3319729527
- ISBN 13 9783319729527
- EinbandTapa dura
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten204
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Data Science for Transport : A Self-Study Guide with Computer Exercises
Verlag:
Springer International Publishing, 2018
ISBN 10: 3319729527
ISBN 13: 9783319729527
Neu
Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The quantity, diversity and availability of transport data is increasing rapidly, requiringnew skills in the management and interrogation of data and databases. Recent yearshave seen a new wave of 'big data', 'Data Science', and 'smart cities' changing theworld, with the Harvard Business Review describing Data Science as the 'sexiest job ofthe 21st century'. Transportation professionals and researchers need to be able to usedata and databases in order to establish quantitative, empirical facts, and to validateand challenge their mathematical models, whose axioms have traditionally often beenassumed rather than rigorously tested against data. This book takes a highly practicalapproach to learning about Data Science tools and their application to investigatingtransport issues. The focus is principally on practical, professional work with real dataand 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 toocan now study via this book.'- Leighton Cardwell, Technical Director, WSP.'From processing and analysing large datasets, to automation of modellingtasks sometimes requiring different software packages to 'talk' to each other,to data visualization, SYSTRA employs a range of techniques and tools toprovide our clients with deeper insights and effective solutions. This bookdoes an excellent job in giving you the skills to manage, interrogate andanalyse databases, and develop powerful presentations. Another importantpublication 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 w. Artikel-Nr. 9783319729527
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