Document Type : Original Research Paper

Authors

1 Ph.D. in Geography and Urban Planning, Department of Geography and Urban Planning, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

2 Professor, Department of Geography & Urban Planning, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

3 Professor, Department of Geography & Urban Planning, University of Tehran, Tehran, Iran.

Abstract

Extended Abstract
Background and Objectives: Today, smart cities are a new paradigm in the global urban planning system. Based on the capabilities of information and communication technology, these smart cities try to improve the quality of life in places which are immersed in numerous problems with social, economic, environmental and other dimensions. However, a comprehensive, multidimensional, complex smart city is based on the urban planning paradigm of complexity and chaos which can lead to successful planning and management. The present study, from the perspective of modern chaos theory, is aimed to formulate strategic requirements for the realization of the smart city in Ahvaz metropolis.
Methods: This article is in the category of applied-developmental research, which is question-based. It has been accomplished using bibliographic and survey method, using exploratory factor analysis, one-sample t-test and Friedman ranking test in SPSS software. The survey instrument was a 5-point Likert questionnaire whose final content validity was confirmed by professors and its reliability was confirmed by Cronbach’s alpha coefficient of 0.906. The statistical population consist of the experts of the institutions involved in the smartening process of Ahvaz metropolis. A combination of clustered snowball sampling methods and monitored network was used in this research. Finally, 380 questionnaires were completed. The adequacy of the number of samples was confirmed by KMO method.
Findings: Based on the findings of the research, in relation to the theory of chaos, it is possible to conclude that Ahvaz metropolis is affected by the non-linear effect in the smartening process; also, the butterfly effect is significant in this metropolis. Moreover, in connection with the modulating variable of the power of universities and research institutes, sensibly, it can be accepted that the condition of this component is also not inappropriate. Using Friedman’s ranking test, the authors ranked the components and indicators including the butterfly effect of social and ethnic pluralism, social moderators, steady flow of energy, people, non-linear effect, variable modulating power of universities and research institutes, contexts, structural forces, institutional forces. Finally, the use of communication and information technology capabilities in promoting environmental quality (motivators) are located.
Conclusion: Based on the results of the research, nonlinear effects govern the process of smart city development in Ahvaz significantly. This implies that a nonlinear system, influenced by variables such as conflicting interests, developmental contradictions, ownership conflicts, and the level of technology acceptance by the public, dominates the realization of the smart city in Ahvaz. These factors have led to turbulent conditions in this metropolis. In this context, the impact of two key factors, namely, government and oil, on this process and system, as well as the central-peripheral dynamics shaped in the country, particularly in connection with the oil-rich city of Ahvaz, cannot be overlooked. As many researchers have emphasized in their studies, the government has commercialized money and capital in the cities through the vast banking system. It has helped the expansion of cities and urbanization more than ever. This extensive and unmatched influence of the government originates above all from the way of obtaining its revenue sources, i.e. the export of crude oil, the resulting national surplus has an important contribution to the accumulation of capital and expanding reproduction in the economic process of the country. In such an atmosphere, the military creation of the center and the periphery has caused the emergence of an unbalanced national development model. Therefore, as observed in the analytical research model, the government and oil entities, in addition to their impact within the framework of internal structural institutions of the Ahvaz metropolis, are considered external influential factors in the overall drivers of smart city realization in Ahvaz. The presence of these two entities, due to their interactions with each other and the factors of conflicting interests, developmental contradictions, ownership conflicts, and the level of technology acceptance by the public, intensifies the nonlinear effects in the process of smart city development in Ahvaz. Inside, the stimuli have stimulated the drives and the drivers - based on the theoretical foundations of smart cities - with the goal of achieving a more efficient, sustainable, livable and fairer city in an urban framework with dimensions of smart environment, smart life, smart economy, smart mobility, smart governance and smart people to mobilize resources and facilities. But in the meantime, the factor of social and ethnic pluralism as a factor with a butterfly effect can be effective in this movement from drivers to a smart city. Also, in this transformation, two social moderator variables and the power of universities and research institutes are effective in this movement. In addition, the internet access flows as a constant flow of energy on the entire system.

Graphical Abstract

Strategic requirements for improving the self-organizing capacity of cities in order to make them smarter(Case study: Ahvaz metropolis)

Highlights

- Extraction of the essential components affecting the realization of the smart city of Ahvaz, with an approach based on chaos theory.
- Evaluation of the current situation of the metropolis of Ahvaz, based on the basic components of realizing the smart city of Ahvaz from the perspective of chaos theory.
- Compilation of strategic requirements for the realization of a smart city from the point of view of chaos theory.
- Analysis of the platforms affecting the self-organization capacity of Ahvaz metropolis, in order to facilitate the transformation of this metropolis into a smart city.

Keywords

Main Subjects

این مقاله برگرفته از رساله دکتری نویسنده نخست با عنوان «تبیین الگویی برندآفرین از تکنوشهر هوشمند رودکناری در راستای انسان گرایی شهری (مطالعه موردی: کلانشهر اهواز)» می‌باشد که به راهنمایی نویسنده دوم و مشاوره نویسنده سوم در دانشگاه شهید چمران اهواز انجام گرفته است.

This article is derived from the first author`s doctoral thesis entitled “Strategic requirements for improving the self-organizing capacity of cities in order to make them smarter; Case study: Ahvaz metropolis ”, supervised by the second author and advised by the third, at Shahid Chamran University of Ahvaz.

  1. Alvani, S.M  (2011). Public Management, Tehran, Ney Publishing. [in Persian]
  2. Alvani, S.M (1996). Theory of Anarchy or Ultimate Order and Management, Management and Development Process, 31, 29-40.[in Persian]
  3. Alvani, S.M (1999). Reflection of Chaos theory in management, Management Studies in Development and Evolution, 6(21.22), 37-53. [in Persian]
  4. Colding,J., Colding,M.,Barthel,S (2018). The smart city model: a new panacea for urban sustainability or unmanageable?, Environment and Planning:Urban Analytics and Science,0(0),pp.1-9
  5. Cornish, E (2006). Advanced futurism, a deep look at the principles, foundations and methods of futurism, translated by Siavash Maleki Far and Farkhandeh Maleki Far, Tehran, Sanat and Technology Think Tank Publications. [in Persian]
  6. Eken, C., Atu,R.A. (2019). The self- organizing city and the architecture of metabolism: an architectural critique on urban growth and reorganization, Sustainability, 11,1-19.
  7. Feder-Levy,E et al (2016). The well-informed city: a decentralized, bottom-up model for a smart city service using information and self-organization, IEEE International Smart Cities Conference.
  8. Firoozi,M.A., Pourahmad,A., Sajadian,M (2021). A study of the obstacles to the perform of a smart city in the metropolis of Ahvaz from the perspective  of Chaos theory, Urban Social Geography, 8(2), 8-31. [in Persian]
  9. Future Ban Research Group (2017). Iran Future Research 2017, Tehran, Future Ban Research Group Publications. [in Persian]
  10. Hosseini, S.M.H (2017). a critical introduction to the theories of "chaos and complexity", critical research paper of humanities texts and programs, 17(6), 114-85. [in Persian]
  11. Krivý, M. (2018). Towards a critique of cybernetic urbanism: The smart city and the society of control. Planning Theory, 17(1), 8-30.
  12. Lu,D., Tian,Y., Liu,V.Y., Zhang,Y (2015). The performance of the smart cities in China- a comparasive study by means of self-organizing maps and social networks analysis,Sustainability, 7 (6), pp.7604-7621.
  13. Mahmoodi Raja,S.Z., Emamjomezadeh,S.J., Bagheri Dolatabadi,A (2016). Analysis of disintegrative approach of ninth and tenth government in Iran of globalization of the culture, Political Strategic Studies, 5(17), 143-168. [in Persian]
  14. Moroni,S., Rauws,W.,Cozzolino,S (2019). Forms of self-organization:urban complexity and planning implications, Environment and Planning B Urban Analytics and City Science, 47(2).
  15. Mukhametov,D (2019). Smart city: from the metaphor of urban development to innovative city management, TEM Journal, 8(4),pp.1247-1251.
  16. Nourani,N., Banihashemi,M (2019). Chaos theory and explanation reqirements in security analysis process, Strategic Studies Quarterly, 22(1), 7-32.[in Persian]
  17. Picano, B., Fantacci, R., & Han, Z. (2019). Nonlinear dynamic chaos theory framework for passenger demand forecasting in smart city. IEEE Transactions on Vehicular Technology, 68(9), 8533-8545.
  18. Radio Communications Regulatory Organization (2021). statistical report of the country's communications and information technology department, 29. [in Persian]
  19. Rafiei, N et al (2016). Development Strategic Issues in Khuzestan Province, Tehran, Presidential Strategic Research Center Publications.[in Persian]
  20. Rauws, W., Cozzolino, S., & Moroni, S. (2020). Framework rules for self-organizing cities: Introduction. Environment and Planning B: Urban Analytics and City Science47(2), 195–202.
  21. Razavizadeh, A.,  Mofidi, M.R  (2017). Smart City, Tehran, Azar Publications. [in Persian]
  22. Research and Development Unit of Information and Communication Technology Organization of Isfahan Municipality (2016), Shahr Paydar Houshmand, Tehran, Jungle Publications
  23. Rickles,D.,Hawe,P.,Shiel,A.(2007).a simple guide to chaos and complexity,Journal of Epidemiology and Community Health,61(11),PP.933-937.
  24. Saffar Sabzevar, F., Daneshvar,M., Hanaee,T., Seyedolhosseini,S.M (2020). Identification of the urban self-organizations,s dimensions and components the meta-synthesis method, Urban Planning Knowledge, 3(9), 53-71. [in Persian]
  25. Sajjadian, M (2021). Explaining a brand-building model of a riverside smart techno-city in the direction of urban humanism (case study: Ahvaz metropolis), doctoral thesis, under the guidance of Dr. Mohammad Ali Firozi, Department of Geography and Urban Planning, Faculty of Literature and Human Sciences, University Shahid Chamran Ahvaz, Ahvaz, Iran. [in Persian]
  26. Saremi, M., Salimi, H (2021). Development in the concept of smart city, Tehran, Publications of the Organization of Municipalities and Villages of the country. [in Persian]
  27. Shurcheh,J (2015). New Perspectives on Urban Systems, Tehran, Parham Naqsh Publications. [in Persian]
  28. Soltanieh, F., Abdullahi, B (2013). Learning in Chaos: Network Learning is the Key to Success in Turbulent Environment, Scientific-Research Quarterly Journal of Human Sciences Methodology, 19(26), 153-170. [in Persian]
  29. Yan, J., Liu, J., & Tseng, F. M. (2020). An evaluation system based on the self-organizing system framework of smart cities: A case study of smart transportation systems in China. Technological Forecasting and Social Change, 153, 119371.
  30. Zakerian, M., Sepahian,A., Z., Firouzi Rad, S (2021). Spatial analysis of urban smart city indicators (case study: Zahedan City), Urban Futurology, 1(2), 69-83. [in Persian]
  31. Zangouei,F., Kharazi Mohamadvandi Azar,Z., Salehi Sadeghian,J (2020). Identifying the components of tourism smartization in Iran, Business Intelligence Management Studies, 8(32), 239-272. [in Persian]