• DocumentCode
    2369916
  • Title

    A statistical approach for integration of soft mobility and regular public transports

  • Author

    Henriques, Norberto ; Bento, Carlos

  • Author_Institution
    Centro de Inf. e Sist., Univ. de Coimbra, Coimbra, Portugal
  • fYear
    2011
  • fDate
    5-7 Oct. 2011
  • Firstpage
    765
  • Lastpage
    770
  • Abstract
    During a regular commuter´s day, one may be faced with several situations where choosing a soft mobility option (e.g. walking, cycling) offers more advantages than a regular public transport (e.g. bus, subway). The main issue is to evaluate when such advantages exist. In this paper we analyze the Lisbon bus network on face of the evaluation of when this integration is interesting. We present its availability and range (in terms of distance and time) in order to highlight the areas where the commuter may benefit from a soft mobility option. The main objective is to use this information to determine the best spots for providing soft mobility means of transportation, as well as to advise a commuter about the best travelling option. We argue that this approach is useful for similar bus networks in other cities.
  • Keywords
    Global Positioning System; automated highways; automobiles; statistical analysis; transportation; GPS; Lisbon bus network; availability; best travelling option; global positioning system; intelligent transportation system; regular public transports; soft mobility; statistical approach; transportation; Availability; Bicycles; Cities and towns; GSM; Global Positioning System; Loaded antennas; Global Positioning System (GPS) traces analysis; intelligent transportation systems; soft mobility; urban computing; user profile;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    2153-0009
  • Print_ISBN
    978-1-4577-2198-4
  • Type

    conf

  • DOI
    10.1109/ITSC.2011.6083017
  • Filename
    6083017