Abstract
While the present concept of a smart city mainly focuses on technology without considering health and sustainable development, the Coronavirus pandemic has reflected that health indeed affects the economy and society in all aspects even the leading smart cities with cutting-edge technologies were inevitably affected by the pandemic. Hence, the study on smart city core driving (SMCd) building after the pandemic with attention on health and sustainability is crucial. The purpose of this research is to present a new model of smart city highlighting health as a driver of development, integrating a health sustainability model suitable to the locality. The study used the Exploratory Factory Analysis (EFA) under the Factor Analysis (FA) method to find correlation among variables, which were explored and selected by Del-phi method (DM) conducted among multi-specialist fields while the model efficiency was conducted through the Confirmatory Factor Analysis (CFA) exploring correlation among variables from the cause-and-effect approach. The result shows that the statistical values are reliable, meeting all criteria with the CMIN/DF = 1.78, RMSEA = .04, GFI = .95, AGFI = .93, RMR = .06, NFI = .94, TLI = .97, CFI = .98, and IFI = .98 in compliance with well level. The analysis contributes to the findings of correlations among SMCd in each aspect that affects the smart city building model with consideration on health core driving.
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Competing Interests
The authors have no conflicts of interest to declare that are relevant to the content of this chapter.
Abbreviations
- EFA::
-
Exploratory Factory Analysis
- CFA::
-
Confirmatory Factor Analysis
- SSc::
-
Smart sustainable city
- SMCd::
-
Smart city core driving factors
- INDv::
-
Institution driving factors
- HMDv::
-
Human driving factors
- TNDv::
-
Technology driving factors
- ECDv::
-
Economic driving factors
- HEDv::
-
Health driving factors
- ENDv::
-
Environment driving factors
- HSDv::
-
Human & social driving factors
- IOC::
-
Item-Objective Congruence
- SSCHM::
-
The sustainable smart city with health driven model
- FA::
-
Factor analysis
- KMO::
-
Kaiser–Meyer–Olkin test
- KW::
-
Kendall's W
- IQR::
-
The Interquartile Range
- SD::
-
Standard Deviation
- MD::
-
Median
- CMIN/DF:
-
Relative Chi-Square
- RMSEA::
-
Root means square error of approximation
- GFI::
-
Goodness of Fit index
- AGFI::
-
The adjusted goodness of fit index
- RMR::
-
Root of mean square residuals
- NFI::
-
Normed Fit Index
- TLI::
-
Non-Normed-fit index (Tucker-Lewis)
- CFI::
-
The comparative fit index
- C.r.::
-
Critical ratio
- C.R.::
-
Composite Reliability
References
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411.
Aoun, C. (2013). The smart city cornerstone: Urban efficiency. Schneider Electric White Paper, 1, 1–13.
Benamrou, B., Mohamed, B., Bernoussi, A.-s., & Mustapha, O. (2016). Ranking models of smart cities. 2016 4th IEEE International Colloquium on Information Science and Technology (CiSt).
Boes, K., Buhalis, D., & Inversini, A. (2016). Smart tourism destinations: ecosystems for tourism destination competitiveness. International Journal of Tourism Cities.
Bollen, K. A., & Long, J. S. (1993). Testing structural equation models (Vol. 154). Sage.
Clarke, R. Y. (2017). Measuring success in the development of smart and sustainable cities. In Managing for social impact (pp. 239–254). Springer.
Cohen, B. (2012). What exactly is a smart city. Co. Exist, 19.
Dragan, D., & Topolšek, D. (2014). Introduction to structural equation modeling: review, methodology and practical applications. The International Conference on Logistics & Sustainable Transport.
Geist, M. R. (2010). Using the Delphi method to engage stakeholders: A comparison of two studies. Evaluation Program Planning, 33(2), 147–154.
Giffinger, R., & Gudrun, H. (2010). Smart cities ranking: an effective instrument for the positioning of the cities? ACE: architecture city environment, 4(12), 7–26.
Haque, A. B., Bhushan, B., & Dhiman, G. (2022). Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends. Expert Systems, 39(5), e12753.
Horner, K., Islam, M., Flygare, L., Tsiklakis, K., & Whaites, E. (2009). Basic principles for use of dental cone beam computed tomography: Consensus guidelines of the European Academy of Dental and Maxillofacial Radiology. Dentomaxillofacial Radiology, 38(4), 187–195.
Huisingh, D., Zhang, Z., Moore, J. C., Qiao, Q., & Li, Q. (2015). Recent advances in carbon emissions reduction: Policies, technologies, monitoring, assessment and modeling. Journal of Cleaner Production, 103, 1–12.
International Organization for Standardization. (2018a). Sustainable cities and communities - Indicators for resilient cities. International Organization for Standardization.
International Organization for Standardization. (2018b). Sustainable Cities and Communities: Indicators for City Services and Quality of Life. International Organization for Standardizaiton.
International Organization for Standardization. (2019). Sustainable cities and communities - Indicators for smart cities. International Organization for Standardization.
Kendall, M. G., & Smith, B. B. (1939). The problem of m rankings. The Annals of Mathematical Statistics, 10(3), 275–287.
Kummitha, R. K. R., & Crutzen, N. (2017, 2017/07/01/). How do we understand smart cities? An evolutionary perspective. Cities, 67, 43–52. https://doi.org/10.1016/j.cities.2017.04.010.
Lei, P. W., & Wu, Q. (2007). Introduction to structural equation modeling: Issues and practical considerations. Educational Measurement: Issues Practice, 26(3), 33–43.
Likert, R. (1932). A technique for the measurement of attitudes. Archives of psychology.
Liu, J., Chen, N., Chen, Z., Xu, L., Du, W., Zhang, Y., & Wang, C. (2022, 2022/10/10/). Towards sustainable smart cities: Maturity assessment and development pattern recognition in China. Journal of Cleaner Production, 370, 133248. https://doi.org/10.1016/j.jclepro.2022.133248.
Manville, C., Cochrane, G., Jonathan, C., Millard, J., Pederson, J. K., Thaarup, R. K., WiK Andrea, L., & WiK Matthias, W. (2014). Mapping smart cities in the EU.
Ritmak, N., Rattanawong, W., & Vongmanee, V. (2023a). The Dynamic Evaluation Model of Health Sustainability under MCDM Benchmarking Health Indicator Standards. International Journal of Environmental Research and Public Health, 20(1), 259. https://doi.org/10.3390/ijerph20010259.
Ritmak, N., Rattanawong, W., & Vongmanee, V. (2023b). A New Dimension of Health Sustainability Model after Pandemic Crisis Using Structural Equation Model. Sustainability, 15(2), 1616. https://doi.org/10.3390/su15021616.
Rovinelli, R. J., & Hambleton, R. K. (1976). On the use of content specialists in the assessment of criterion-referenced test item validity.
Schumacker, R. E., & Lomax, R. G. (2004). A beginner's guide to structural equation modeling. psychology press.
Sourani, A., & Sohail, M. (2015). The Delphi method: Review and use in construction management research. International Journal of Construction Education Research, 11(1), 54–76.
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53.
The United for Smart Sustainable Cities : U4SSC. (2017). Collection Methodology for Key Performance Indicators for Smart Sustainable Cities.
Vasuaninchita, M., Vongmanee, V., & Rattanawong, W. (2018). The Novel Paradigm of “Economic Driven Smart City” to the Sustainability. 6th Asian Academic Society International Conference (AASIC), a Transformative Community: Asia in Dynamism, Innovation and Globalization, Chiang Rai Thailand.
Vasuaninchita, M., Vongmanee, V., & Rattanawong, W. (2019). The Local and Sustainability Context of Smart Cities Model; Thailand Prototype, Structure Formation by EFA-CFA Method. Universal Academic Cluster International Autumn Conferences, Japan.
Vasuaninchita , M., Vongmanee, V., & Rattanawong, W. (2020). The novel paradigm of economics driven for local smart sustain cities modeling using exploratory factor analysis and planning technique using fuzzy evaluation decision making. Sustainability, 12(3), 793. https://doi.org/10.3390/su12030793.
Wang, C., Horby, P. W., Hayden, F. G., & Gao, G. F. (2020). A novel coronavirus outbreak of global health concern. The Lancet Global Health, 395(10223), 470–473.
Yamane, T. (1973). Statistics: an introductory analysis-3.
Yang, S., & Chong, Z. (2021, 2021/07/01/). Smart city projects against COVID-19: Quantitative evidence from China. Sustainable Cities and Society, 70, 102897. https://doi.org/10.1016/j.scs.2021.102897.
Zhao, D., Wang, Z., Umino, N., & Hasegawa, A. (2007). Tomographic imaging outside a seismic network: Application to the northeast Japan arc. Bulletin of the Seismological Society of America, 97(4), 1121–1132.
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Conceptualization, V.V.; Methodology, V.V.; Formal analysis, N.R.; Investigation, N.R.; Writing—original draft, N.R.; Writing—review & editing, W.R.; Supervision, V.V. All authors have read and agreed to the published version of the manuscript.
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The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Human Research Ethics Committee of University of the Thai Chamber of Commerce (protocol code UTCCEC/Excemp057/2022 and date of approval 17 October 2022).
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Ritmak, N., Vongmanee, V., Rattanawong, W. (2024). Urban Design for Health: Innovation for Sustainable Smart City After the Pandemic. In: Bibri, S.E., Visvizi, A., Troisi, O. (eds) Advancing Smart Cities. FSC 2022. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-52303-8_5
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