rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Data Analytics: Paving the Way to Sustainable Urban Mobility
    sub title: Proceedings of 4th Conference on Sustainable Urban Mobility (CSUM2018), 24 - 25 May, Skiathos Island, Greece
  name:
    name part: Nathanail, Eftihia G.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Karakikes, Ioannis D.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIX, 868 p. 235 illus., 199 illus. in color. online resource.
  abstract: This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which report on contributions presented at the 4th Conference on Sustainable Urban Mobility, held on May 24-25, 2018, in Skiathos Island, Greece, cover different thematic areas, such as social networks and traveler behavior, applications of big data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions and environmental impacts, public transport and demand responsive systems, intermodal interchanges, smart city logistics systems, data security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges in developing and implementing analytics methods and provide the reader with an up-to-date review of the most representative research on data management techniques for enabling sustainable urban mobility .
  table of contents: Have information technologies forgotten pedestrians? to what extent can it/its improve pedestrian's mobility and safety -- Trip generation rates for a University campus: the case of the Aristotle University of Thessaloniki, Greece -- An analysis on drivers' self-reported questionnaire responses, regarding aggressive driving, attitude toward cyclists and personal values -- Redesigning the seafront area of Paphos -- Development of an aggregate indicator for evaluating sustainable urban mobility in the city of Xanthi, Greece -- Performance evaluation of GLOSA-algorithms under realistic traffic conditions using C2I-communication -- Measuring the spatial accessibility of public transport: the case of the new urban rail systems in the city of Thessaloniki, Greece.
  note: edited by Eftihia G. Nathanail, Ioannis D. Karakikes.
  subject:
    topic: Transportation engineering
  subject:
    topic: Traffic engineering
  subject:
    topic: Data mining
  subject:
    topic: Sustainable development
  subject:
    topic: Energy policy
  subject:
    topic: Energy and state
  subject:
    topic: Transportation Technology and Traffic Engineering
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Sustainable Development
  subject:
    topic: Energy Policy, Economics and Management
  classification: TA1001-1280
  classification: HE331-380
  classification: 629.04
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Intelligent Systems and Computing, 879
  identifier: 9783030023058
  identifier: https://doi.org/10.1007/978-3-030-02305-8
  record info:
    record creation date: 181211
    record change date: 20191025161159.0
    record identifier: 978-3-030-02305-8