• DocumentCode
    2708598
  • Title

    Exploring reliability parameters of urban public transport network for emergency management

  • Author

    Zhang, Yang ; Zheng, Jianghua

  • Author_Institution
    Coll. of Resource & Environ. Sci., Xinjiang Univ., Urumqi, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Topology and reliability of urban road network are usually impacted by emergencies. Scientific evaluation of urban public transport network reliability is an objective demand of emergency management. We argue in this paper: The small world network parameters, average path length L, clustering coefficient C and traditional road network reliability indicators could be taken into reliability analysis of urban public transport network. That is to take connectivity reliability, time reliability, capacity reliability, evacuation reliability and restructuring reliability as indicators of reliability of urban public transport network. Further analysis of the relationship between the five reliability indicators are carried out. It takes Urumqi city as an example, it preliminarily analyzes the public transportation reliability of Urumqi City which is under typical incidents. The results show that the proposed indicators can be more scientific and accurate to evaluate urban public transport network reliability under emergencies. It enriches the evaluation system of urban public transport network reliability and also more effectively and scientifically supports emergency management.
  • Keywords
    emergency services; reliability theory; transportation; Urumqi City; emergency management; road network reliability indicators; urban public transport network reliability; Capacity planning; Cities and towns; Jamming; Reliability theory; Roads; emergency management; evacuation reliability; restructuring reliability; small-world; urban public transport network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980833
  • Filename
    5980833