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Enhancing Sustainability and Resilience through Multi-Level Infrastructure Planning.

Jorge Salas1, Víctor Yepes2

  • 1School of Civil Engineering, Universitat Politècnica de València, 46022 Valencia, Spain.

International Journal of Environmental Research and Public Health
|February 9, 2020
PubMed
Summary

This study introduces a novel resilient planning method for infrastructure, balancing bottom-up adaptive capacity with top-down control. It optimizes urban vulnerability, road conditions, and costs for sustainable development.

Keywords:
Multi-scale assessmentadaptive capacitycascading impactsdecentralization optimizationhierarchical relational modelinginfrastructure integrated planningroad network

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Area of Science:

  • Infrastructure Planning
  • Urban Development
  • Resilience Engineering

Background:

  • Effective infrastructure planning requires both resilient actions and implementation to foster adaptive capacity.
  • Multi-level infrastructure systems necessitate balancing bottom-up planning for adaptability with top-down control for global objectives and vulnerability reduction.
  • Existing methods often lack a multi-objective perspective for integrating flexibility and hierarchical control.

Purpose of the Study:

  • To develop a novel multi-objective resilient planning method for infrastructure.
  • To integrate urban vulnerability mitigation, road network improvement, and economic cost minimization into a single planning framework.
  • To enhance the Urban Planning Support System (UPSS) for controlled, sustainable development.

Main Methods:

  • Incorporation of urban vulnerability mitigation, road network condition improvement, and economic cost minimization as objectives.
  • Development of an improved planning support system based on the existing UPSS.
  • Formalization of local adaptive capacity and global risk control within the planning process.
  • Application of multi-objective optimization techniques.

Main Results:

  • The improved planning support system offers a planning alternative for the Spanish road network.
  • The method achieves a multi-objective balance between optimization, risk, and opportunity.
  • Multi-objective optimization reveals trade-offs between local opportunity, global risk, and local rights/duties.

Conclusions:

  • The developed method provides a framework for informed decision-making in resilient infrastructure planning.
  • It enhances understanding of the complex trade-offs inherent in balancing local and global objectives.
  • The approach supports controlled and sustainable development by planning for both actions and implementation.