Data Science for Transport

Fox, Charles (2018) Data Science for Transport. Springer Texts in Earth Science, Geography and Environment . Springer, Germany. ISBN 978-3-319-72952-7

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Item Type:Book or Monograph
Item Status:Live Archive


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.

Keywords:data science, transport
Subjects:N Business and Administrative studies > N850 Transport Studies
L Social studies > L724 Transport Geography
N Business and Administrative studies > N800 Tourism, Transport and Travel
H Engineering > H230 Transport Engineering
J Technologies > J960 Transport Logistics
Divisions:College of Science > School of Computer Science
ID Code:33090
Deposited On:23 Oct 2018 09:17

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