Highlights Systems method found to be useful engagement tool for transport network resilience. Systems method able to rapidly obtain, capture and analyse network state post-event. Absence of lessons learned mechanism identified.

    Abstract To enhance the transport network’s residence to natural hazards, it is necessary to understand who the key decision makers are and how they interact. To enhance understanding of this, we used the opportunity provided by the North Canterbury earthquake and its impact on freight to engage with those involved in the preparedness, response and recovery of the transportation network. We piloted an adapted systems-based methodology as an engagement tool for use with key actors with the aim of demonstrating a new way to reveal insights that contribute to enhancing transport network resilience in New Zealand. The tool was developed iteratively and was able to rapidly obtain, capture and analyse the state of the network post-event after adaptations to its structure. Indicative findings indicate the absence of a post-event lessons learned mechanism and a lack of clarity around the position and connections with local government are two areas that could be improved to enhance resilience.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A systems-based framework as an engagement tool: Adaptation for insight on transport network resilience


    Contributors:

    Publication date :

    2019-03-14


    Size :

    11 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Resilience assessment of strait/canal: A rule-based Bayesian network framework

    Fan, Hanwen / Gong, Xiaoxing / Lyu, Jing | Elsevier | 2023




    Resilience Network Controller Design for Multi-Domain SDN: A BDI-based Framework

    Song, Yanbo / Gao, Xianming / Li, Pengcheng et al. | IEEE | 2022


    Aggregation-based Decision Support Framework for Resilience Analysis of a Transportation Network

    Wang, Zhonglin / Universität der Bundeswehr München, Fakultät für Informatik | TIBKAT | 2021

    Free access