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  • Book
  • © 2019

Transportation Analytics in the Era of Big Data

  • Presents papers from leading researchers on Transportation Analytics
  • Presents multi-disciplinary perspectives on Big Data Science in urban transportation
  • Brings together the latest thinking on urban transportation issues

Part of the book series: Complex Networks and Dynamic Systems (CNDS, volume 4)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xi
  2. Beyond Geotagged Tweets: Exploring the Geolocalisation of Tweets for Transportation Applications

    • Jorge David Gonzalez Paule, Yeran Sun, Piyushimita (Vonu) Thakuriah
    Pages 1-21
  3. A Privacy-Preserving Urban Traffic Estimation System

    • Tian Lei, Alexander Minbaev, Christian G. Claudel
    Pages 81-103
  4. PETRA: The PErsonal TRansport Advisor Platform and Services

    • Michele Berlingerio, Veli Bicer, Adi Botea, Stefano Braghin, Francesco Calabrese, Nuno Lopes et al.
    Pages 181-216
  5. Mobility Pattern Identification Based on Mobile Phone Data

    • Chao Yang, Yuliang Zhang, Satish V. Ukkusuri, Rongrong Zhu
    Pages 217-232
  6. Back Matter

    Pages 233-234

About this book

This book presents papers based on the presentations and discussions at the international workshop on Big Data Smart Transportation Analytics held July 16 and 17, 2016 at Tongji University in Shanghai and chaired by Professors Ukkusuri and Yang. The book is intended to explore a multidisciplinary perspective to big data science in urban transportation, motivated by three critical observations:

  1. The rapid advances in the observability of assets, platforms for matching supply and demand, thereby allowing sharing networks previously unimaginable.
  2. The nearly universal agreement that data from multiple sources, such as cell phones, social media, taxis and transit systems can allow an understanding of infrastructure systems that is critically important to both quality of life and successful economic competition at the global, national, regional, and local levels.
  3. There is presently a lack of unifying principles and methodologies that approach big dataurban systems.

The workshop brought together varied perspectives from engineering, computational scientists, state and central government, social scientists, physicists, and network science experts to develop a unifying set of research challenges and methodologies that are likely to impact infrastructure systems with a particular focus on transportation issues.

The book deals with the emerging topic of data science for cities, a central topic in the last five years that is expected to become critical in academia, industry, and the government in the future. There is currently limited literature for researchers to know the opportunities and state of the art in this emerging area, so this book fills a gap by synthesizing the state of the art from various scholars and help identify new research directions for further study.

Editors and Affiliations

  • School of Civil Engineering, Purdue University, West Lafayette, USA

    Satish V. Ukkusuri

  • Tongji University, Shanghai, China

    Chao Yang

About the editors

Satish V. Ukkusuri is a professor in the Lyles School of Civil Engineering, Director of the Integrative Data Driven Transportation Networks Lab and Co-lead of the Sustainable Communities Cluster at Purdue University. His research is in the area of interdisciplinary transportation networks with current interests in data driven mobility solutions, disaster management, resilience of interdependent networks, connected and autonomous traffic systems, shared mobility platforms, dynamic traffic networks and smart logistics. He is a University Faculty Scholar (2017-present), Fulbright Fellow (2015-16), Discovery Park Fellow (2013-15), a selectee of the National Academy of Engineering (NAE) JAFOE conference (2016), a selectee of the National Academy of Science (NAS) Arab American Frontiers of Science, Engineering and Medicine in 2017 and a CUTC/ARTBA Faculty Award (2011) among other awards both nationally and at Purdue. He has published more than 250 peer reviewed journal and conference articles. He is an Area Editor of Networks and Spatial Economics and an Academic Editor of PLOS One among other editorial duties. He is a member of several national and international committees, including the TRB’s Freight Logistics and Planning Committee, Emergency Evacuation Modeling Committee and a past member of the Network Modeling Committee.

Chao Yang is a Professor of Transportation Engineering at Tongji University in Shanghai, China. He has been committed to studies in the areas of big data mining, transportation planning theory, network traffic flow analysis, and traffic behavior analysis. He earned his Ph.D. degree in Municipal Engineering from Tongji University in 1999. He worked as Research Assistant at the Department of Civil Engineering in the University of Hong Kong (1998-1999), Research Fellow at the Department of Civil and Environmental Engineering in Nanyang Technological University (1999-2002), and postdoctoral scholar at the Department of Civiland Environmental Engineering in Utah State University (2002-2004). He has been working at the College of Transportation Engineering in Tongji University from 2005 to the present. He was the leader of two projects supported by the National Natural Science Foundation and one supported by the 863 Program. He has published almost 200 papers in several prestigious international journals in transportation studies, out of which 28 papers are indexed by SCI and cited for 294 times.

Bibliographic Information

  • Book Title: Transportation Analytics in the Era of Big Data

  • Editors: Satish V. Ukkusuri, Chao Yang

  • Series Title: Complex Networks and Dynamic Systems

  • DOI: https://doi.org/10.1007/978-3-319-75862-6

  • Publisher: Springer Cham

  • eBook Packages: Business and Management, Business and Management (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2019

  • Hardcover ISBN: 978-3-319-75861-9Published: 09 August 2018

  • Softcover ISBN: 978-3-030-09344-0Published: 12 January 2019

  • eBook ISBN: 978-3-319-75862-6Published: 28 July 2018

  • Series ISSN: 2195-724X

  • Series E-ISSN: 2195-7258

  • Edition Number: 1

  • Number of Pages: XI, 234

  • Number of Illustrations: 13 b/w illustrations, 87 illustrations in colour

  • Topics: Operations Research/Decision Theory, Civil Engineering, Transportation

Buy it now

Buying options

Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access