A versatile tool is being developed to support climate resilience investment planning in the transport sector for South Asian countries. The tool utilizes readily available datasets, incorporates rapid hazard mapping, integrates multiple infrastructure modelling perspectives, combines methods of varying sophistication, and facilitates large-scale assessment of socio-economic indicators. It has been designed to offer a tailored decision-making experience, accommodating different strategic risk management priorities, decision styles, and risk appetites. Applicable to diverse geographical regions and hazard environments, it aids in identifying vulnerability hotspots within a transport network, enabling prioritized interventions. It also assists in estimating climate adaptation funds, analyzing post-disaster network performance, and planning for redundancies. Ultimately, it supports users in planning network-level upgrades for climate resilience, while minimizing the expected losses and ensuring cost-efficiency in the decision-making process.

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Transport Network Planning and Analysis Decision-Support Tool for South Asia

  • Maria Antoniou,
  • Marianna Loli,
  • Haris Ballis,
  • Rallis Kourkoulis,
  • Bramka Arga Jafino,
  • Oceane Keou

摘要

A versatile tool is being developed to support climate resilience investment planning in the transport sector for South Asian countries. The tool utilizes readily available datasets, incorporates rapid hazard mapping, integrates multiple infrastructure modelling perspectives, combines methods of varying sophistication, and facilitates large-scale assessment of socio-economic indicators. It has been designed to offer a tailored decision-making experience, accommodating different strategic risk management priorities, decision styles, and risk appetites. Applicable to diverse geographical regions and hazard environments, it aids in identifying vulnerability hotspots within a transport network, enabling prioritized interventions. It also assists in estimating climate adaptation funds, analyzing post-disaster network performance, and planning for redundancies. Ultimately, it supports users in planning network-level upgrades for climate resilience, while minimizing the expected losses and ensuring cost-efficiency in the decision-making process.