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There is a lack of valid and reliable generic measures of Health-Related Quality of Life (HRQoL) for children under eight. The purpose of this paper is to assess the psychometric properties of the newly formulated Quality of Life Scale for Children (QoL-C), which uses a pictorial response format.

In total, 335 primary school children completed the QoL-C on two occasions, two weeks apart. Children aged four to seven were interviewed one-to-one while children aged eight to nine completed the measure as a class activity. Test-re-test reliability, convergent validity and child-parent concordance were assessed.

Only one child refused to complete the QoL-C, which suggests the measure is user-friendly. Test-re-test reliability was moderate for the measure's total score (intraclass correlation coefficient =0.48, 95 percent CI 0.39, 0.57) but low to fair for individual items (K from 0.13 to 0.37). Internal consistency was moderate (α=0.42 time one, 0.53 time two). A small significant correlation was found between the QoL-C and Child Health Meter in the expected direction (r=−0.32), suggesting convergent validity. There was low concordance between the children's QoL-C responses and parent's responses (r=0.19) to a parallel measure.

The results suggest that further development of this measure is needed. However, the findings indicate that one-to-one support increases the reliability of very young children's responses. The use of pictures, emoticons and minimal text used in the QoL-C should be investigated further.

Low parent-child concordance underscores the importance of younger children getting the opportunity to share their views about their HRQoL.

This study examined a tourism destination, Macao, a fast-progressing smart city under development, vis-à-vis a set of smart city quality of life (SCQOL) domains and verified their effects on citizens' attitudes, perceptions and support for citizen-centric smart city development (SCD).

This study adopted a quantitative approach. In particular, a questionnaire survey was used to collect data from Macao citizens. Factor analysis was used to identify SCQOL domains, while multiple linear regression and cluster analysis were used to achieve the research objectives.

This study identified five SCQOL domains: smart environment, smart people, smart livelihood, smart economy and economic policy, and smart mobility. Each of the domains had a different influence on citizens' attitudes and support for SCD. Three citizen segments (passive, neutral and enthusiastic supporters) were identified.

The five SCQOL domains, their effects on citizens' support for SCD and the three citizen segments identified can help implement the appropriate measures to enhance the target groups' SCD. The findings are also of practical value in evaluating the citizen-centric approaches on smart progress in other contexts.

The concept of smart technology has been widely applied to all aspects of city development. The main goal of SCD is to enhance citizens' quality of life. However, most studies have only explored smart cities and quality of life in isolation. Grounded on citizen centrality, this study contributes to the literature on SCD by proposing a new concept of SCQOL, identifying the domains constituting SCQOL and their influence on citizens' support for SCD.