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The structural model of indicators for evaluating the quality of urban smart living

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  • Shami, Mohammad Reza
  • Rad, Vahid Bigdeli
  • Moinifar, Maryam

Abstract

In current century, in order to address increasing demands of twentieth-century man, science is rapidly advancing in various fields on the basis of vast information and communications technology. The quality of life in a smart city will be undoubtedly affected by such an approach and the impact of smartness concept had led to a new viewpoint on the correlation between different aspects of assessment of urban life quality and smart city phenomenon. This study aims to design a structural model and identify the importance order and impact factor of features influencing quality of smart urban life through structural equations adopting a Partial Least Squares (PLS) approach in Tehran metropolis. Significance of this study is reflected in increasing influence of smart technologies in citizens’ lives. Results show that integration of dimensions of health and hygiene, public education, security, social coherence and participation, consumption of resources and the environment, culture, and at last development of housing and buildings with development of smart information and communications are the most significant contributory factors in improvement of quality of smart urban life. Furthermore, education and enhancement of awareness are of utmost importance as indicators influencing dimensions of health and hygiene as well as security.

Suggested Citation

  • Shami, Mohammad Reza & Rad, Vahid Bigdeli & Moinifar, Maryam, 2022. "The structural model of indicators for evaluating the quality of urban smart living," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    • Handle: RePEc:eee:tefoso:v:176:y:2022:i:c:s0040162521008581
    DOI: 10.1016/j.techfore.2021.121427
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    References listed on IDEAS

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    3. Mirela-Catrinel Voicu & Adina Bărbulescu & Denisa Abrudan, 2022. "On a City Guide App Model," Sustainability, MDPI, vol. 14(23), pages 1-17, November.
    4. Dezhi Li & Wentao Wang & Guanying Huang & Shenghua Zhou & Shiyao Zhu & Haibo Feng, 2023. "How to Enhance Citizens’ Sense of Gain in Smart Cities? A SWOT-AHP-TOWS Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(3), pages 787-820, February.
    5. Pham Quang Huy & Vu Kien Phuc, 2025. "Does effectiveness of digital accounting system intensify sustainable business model innovation with mediating role of digital business ecosystem?," Journal of Innovation and Entrepreneurship, Springer, vol. 14(1), pages 1-41, December.
    6. Murat Selim Selvi & Şermin Önem, 2025. "Impact of Variables in the UTAUT 2 Model on the Intention to Use a Fully Electric Car," Sustainability, MDPI, vol. 17(7), pages 1-24, April.
    7. Huang, Yang & Xiong, Ni & Liu, Chengkun, 2025. "Smart city policies and corporate renewable energy technology innovation: Insights from patent text and machine learning," Energy Economics, Elsevier, vol. 148(C).
    8. Guo, Qingbin & Zhong, Jinrong, 2022. "The effect of urban innovation performance of smart city construction policies: Evaluate by using a multiple period difference-in-differences model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    9. Yiming Wei & Hongwei Wang & Bo Tan & Mengqi Xue & Yucong Yin, 2022. "Analysis of the Spatial Differentiation and Development Optimization of Towns’ Livable Quality in Aksu, China," Sustainability, MDPI, vol. 14(13), pages 1-16, June.

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