347 / 2018-11-29 16:55:57
Identifying changes in critical locations for transportation networks using centrality
Network centrality, transportation networks, disaster management, planning Support Systems, accessibility, decision support
终稿
Nazli Yonca Aydin / ETH-Zurich
Ylenia Casali / ETH-Zurich
H. Sebnem Duzgun / Colorado School of Mines
Hans R Heinimann / ETH-Zurich
Identifying critical locations in road networks assists in reducing intermitting services and increases the quality of life. Complex networks applications are used in transportation networks to identify critical locations from a topological point of view. However, critical locations change when there are disruptions and people move towards a specific service inside its catchment area. In this paper, a modified betweenness centrality is used to identify critical locations when moving towards a single service. This index, the origin-destination betweenness centrality, is used to identify important locations in the baseline scenario on a case study from Kathmandu, Nepal. Furthermore, random disruptions with increasing magnitude are simulated to understand a networks’ behavior and to identify the changes in those critical locations under extreme conditions. The results showed that the origin-destination betweenness centrality is an effective index. Random disruption simulations can assist decision-makers in preparing recovery plans.
重要日期
  • 会议日期

    07月08日

    2019

    07月12日

    2019

  • 06月28日 2019

    初稿截稿日期

  • 07月12日 2019

    注册截止日期

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