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Discovering smart cities' potential in Kazakhstan: A cluster analysis
Marat Urdabayev1, Anel Kireyeva2, Laszlo Vasa3
1Department of Economics, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Plos One
|March 13, 2024
Summary
This study used cluster analysis to assess smart city potential in Kazakhstan. Almaty and Astana show the highest potential, while regional inequalities present challenges for widespread smart city development.
Area of Science:
- Urban Planning
- Regional Science
- Data Science
Background:
- Previous research clustered regions of Kazakhstan.
- This study extends analysis to urban centers for smart city potential.
Purpose of the Study:
- To evaluate the potential for smart city development across Kazakhstan's cities.
- To identify leading cities and those requiring targeted support.
Main Methods:
- Cluster analysis applied to cities using indicators for human capital, infrastructure, education, IT, and production.
- Employed Single Linkage, Complete Linkage, and Ward's clustering methods.
Main Results:
- Almaty and Astana identified as prime candidates for smart city initiatives.
- Aktobe presents unique development opportunities and challenges.
- Cities grouped by potential, highlighting regional disparities and varying needs for investment.
Conclusions:
- Significant regional inequality impacts smart city development potential in Kazakhstan.
- Future research should address data limitations and explore intra-regional clustering.
- Pilot projects in smaller cities are recommended, with scalable successes planned for core cities.
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