Abstract
Appropriate indicators are required to measure the resilience of water supply systems (WSSs). However, it is challenging to identify appropriate indicators since there is no comprehensive database of indicators to measure its resiliency. This study will establish a comprehensive bank of indicators to assist water corporations and decision-makers in selecting appropriate indicators for their particular system. The suggested indicator bank is comprised of three layers such as dimension, attributes, and the number of indicators resulting from 12 different indicator codes that the study has analysed. In addition, this paper presents instructions on how the indicator bank can be used and integrated with water enterprises, enabling decision-makers to pick the relevant indicators. The proposed indicator bank is an exploratory approach that should be validated in a real work setting since resilience is a challenging concept, and WSSs are complex due to their dependencies to other lifelines such as power networks with too many variables that may affect the actual outcomes.
Highlights
Second is diversity in selected codes; this study proposes a comprehensive indicator bank to apply worldwide
Compared with conventional methods such as risk analysis, the range of disasters and their adverse effects on water supply systems (WSSs) has prompted water companies and decision-makers worldwide to look for alternatives to assess WSSs’ performance against disasters. e WSSs’ performance against disasters can be improved through the resilience concept. e indicatorbased approach is developed to measure the performance of the WSSs for future disasters
Finding suitable indicators to measure system performance remains a challenge for water companies and decision-makers
Summary
A bank of indicators is proposed from a pool of indicators provided by the 12 frameworks discussed previously. All indicators are obtained from the different layers, following the detection of overlapping or replication attributes. All indicators that are not related to water supply systems, such as stormwater or wastewater, are eliminated. E final output will determine the foundation for developing a robust resilience indicator bank for WSSs. Figure 3 shows the selected global performance indicator systems systematically reviewed and funnelled into the indicator bank. E total number of 534 indicators pooled is filtered by removing similar and duplicated indicators, leaving 216 indicators available in the new bank. E study identifies the structure of the proposed indicator systems. E indicators will be categorised based on the proposed system
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