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The study aims to use DfX to develop a comprehensive database of smart and resilient indicators that assists city administrators and authorities alike. The Smart and Resilient Cities Indicators Bank (SRCIB) will identify the level of smart and resilience determinants that will simultaneously provide ways to improve the city's infrastructure to meet smart and resilient objectives.

Design of excellence (DfX) is adopted in dissecting from four best indicators of established systems, and a database of indicators is developed and specified in diverse ways. A new indicator system is then created for smart and resilient cities.

The proposed indicator bank consists of four layers consisting of dimension, sub-dimension, key issues and the number of indicators resulting from four different indicator systems that the study have analysed.

The proposed indicator bank is an exploratory approach that needs to be tested in a real scenario because the urban systems are complex inter-related systems with too many variables that may influence actual outcomes. Thus, the proposed indicators bank does not attempt to quantify or solve related urban issues commonly address in smart and resilient city concepts but more to enhance the management of attaining towards smart and resilient specifications.

The proposed indicator bank is an exploratory approach that needs to be tested in a real scenario because the urban systems are complex inter-related systems with too many variables that may influence actual outcomes. Thus, the proposed indicators bank does not attempt to quantify or solve related urban issues commonly address smart and resilient city concepts but more to enhance the management of attaining smart and resilient specifications.

The study builds a robust guide for assessing smart and resilient cities that is yet a widely accessible assessment framework. The proposed SRCIB allows local authorities and relevant stakeholders of typical cities to better manage its urban agenda towards smart and resilient city objectives when specific indicators are defined. Besides, a smart city can become resilient; likewise, a resilient city can become smart as the SRCIB is comprehensive.

This paper aims to develop a framework that could establish and further the terminology of smart city/resilient city discourse in that resilience could support urban “smartness”, a term that is widely argued being not easily measured nor quantifiably assessed.

The qualitative approach was employed, and based on selected keywords, a systematic literature review was carried out to understand the main themes within the smart city and resilient city concepts databases. Upon screening, 86 papers were used and synthesised through the meta-synthesis method using both synthesis approach, meta-aggregation and meta-ethnography that systematically identifies both properties and characteristics, to build an innovative framework as an indicator-based smart/resilience quantification model.

Two novel frameworks are proposed, smart resilient city (SRC) and resilient smart city (RSC), as guidelines regulatory that establish a city's smartness and resilience.

The quantitative research phase is not provided as the framework builds on the exploratory approach in which the model is proposed through the postulation of data definitions.

Although the study's scope was limited to the city, proposed frameworks may be interpreted for other contexts that deal with the topic of resilience and smart.

The established framework proposal would encourage further exploration in context, serving as an inspiration for other scholars, decision-makers, as well as municipalities to keep strengthening smart city through resilience factors.