Explanation of the theoretical model of the realizing the smart city of Rasht in the horizon of 1415 in the framework of strategic foresight using FCM in Mental Modeler

Document Type : Original Article

Authors

1 Phd of Futures Studies, Imam Khomeini International University, Qazvin, Iran

2 Master of urban planning, College of Fine Arts, University of Tehran, Tehran, Iran

3 Assistant Professor, Department of Art and Architecture, Payame Noor University (PNU), Tehran, Iran

Abstract

Introduction: The smart city is one of the issues that have been the focus of governments, organizations related to urban management, knowledge-based and technology companies, universities and research institutes, and the public sector in recent years. Although studies in the field of smart cities have been conducted topically in one dimension at the national or international level for nearly two decades, a study considering all dimensions of a smart city simultaneously has received less attention. To create an integrated outlook on all aspects of urbanization, policymakers have presented models for developing and maintaining cities based on modern technologies, which have been introduced as smart cities. The confrontation of ultra-modern cities with the city of the industrial age (contemporary) is another urban problem in the modern age because the needs and issues in this age differ from the conditions in which the industrial age approaches were developed (UN, 2018). Therefore, according to the growth of urbanization worldwide, it is very important to find solutions to meet the challenges of urbanization. One of these solutions is the concept of sustainable smart cities (Ibrahim et al., 2018) (Nastaran et al., 2018). Unlike most foresight studies, this research did not seek to extract strategies for realizing a smart city. Still, he is trying to turn it into a theoretical model to create a line of thought in policymakers by relying on the potential scenarios of smart cities in Iran in the horizon of 1415 by the upstream documents (the document of the province in the horizon of 1415 and the document of the national model in the horizon of 1444).
Methodology: In this research, combined methods have been used to present the model of realizing smart cities, and the fuzzy cognitive mapping matrix is the basis of the analysis and explanation of the experimental model of this research. For this purpose, the meta-synthesis method was used after studying the literature and developing a theoretical framework to identify the key indicators of Rasht's smart city management. By evaluating and analyzing the sensitivity of the effects of the scenarios and the status of each driver on how to change the state of the key obstacles to the realization of the smart city of Rasht, an optimal model of the state of realization of the smart city can be presented.
Results: The outputs show that in the category of obstacles to the realization of a smart city, the elements "non-observance of the principle of justice, balance, and equilibrium in ecological, social, and economic dimensions (lack of optimal management of urban resources)," "commodification of land" and " The lack of balanced development and unbridled urban growth and the emergence of problematic tissues" have received the most effects from other elements of the model with the intensity of 8.58, 7.92 and 7.65, respectively. In terms of impact based on the results, the two uncertainties of "increasing the process of immigrating cities" and "instant production and delivery" have been the most influential elements.
Discussion: The results of this survey show that "lack of optimal health management" and "commodification" of land are two obstacles that have a great impact on other barriers to the realization of a smart city, and even the obstacle of "not observing the principle of justice, Balance, and Balance in ecological, social and economic dimensions (lack of optimal management of urban resources) is affected by these two obstacles. Also, the review of the analysis shows that among the uncertainties, "increasing the trend of Rasht's immigration" and "use of smart technologies in promoting clean and sustainable transportation" are mentioned as prerequisites. This problem can be expressed in such a way that to realize a smart city based on the fuzzy recognition map, the perspective of urban management must be completely changed, and the main focus of planning should be on the optimal management of the health sector and solving the problem of commoditization of land. The challenge of waste management is an old pain in the city of Rasht, and with the influx of tourists without complying with environmental standards, it burdens the lives of the people of this city, and the Saravan area has become a hazard in the city of Rasht. The commodity view of land has also led to the fact that many areas of the Caspian region are rural, and the bargaining power is low due to the lack of a strong economic base and the lack of suitable conditions similar to the Caspian climate in other parts of the country. Land and property are not balanced. Also, the inheritance law, the division of land between heirs, and the reduction of the production level provide the basis for the sale of separate lands. If the prevailing trend is not managed, considering the developments that are taking place in the country, especially in the southern and central regions of Iran, as a result of climate change, the future of the Caspian region's ecosystem, especially in Gilan province and Rasht city, will be severely threatened. It can create fragile conditions for this region to realize a smart city. With the help and use of sensitivity analysis of obstacles in all scenarios, it is determined that all obstacles will decrease in the first and second scenarios and increase in the third scenario. The status of the main obstacles to realizing Rasht's smart city in different scenarios revealed that in all scenarios, "commodification of land" experiences the greatest reduction except in the third scenario. In addition to this factor, the two obstacles, "infrastructure supply crisis, energy wastage and unstable transportation," and "politicization and the existence of legal and functional differences in urban management," will have the greatest reduction in all scenarios except scenario 3. Among all the obstacles, the factor "change in business patterns and its impact on the economic system of the city" is the only one that experiences a significant reduction in all scenarios.
On the other hand, the obstacle "non-observance of the principle of justice, balance, and equilibrium in ecological, social and economic dimensions (lack of optimal management of urban resources)" experiences a very small reduction in almost all scenarios. This problem shows that this barrier has a low sensitivity to different scenarios and practically no reaction to various scenarios. Considering that this obstacle is of great importance in the subject literature, it seems necessary to formulate and explain specific tasks to reduce it and improve the realization of the smart city of Rasht. At this stage, all the main elements of realizing the smart city of Rasht were determined, and the consequences' severity and impact were analyzed and explained.
Conclusion: According to the obtained results and based on the intensity of the relationships and the power of influence between them, the experimental model of the future realization of the smart city of Rasht has been created. Then, based on the degree of centrality and importance of the factors for each of the scenarios, the above model is examined and evaluated to determine what effect each of the drivers in the scenarios will have on the obstacles to the realization of the smart city. Considering that the predetermined factors will always be static, the changes in the level of barriers to the realization of the smart city will only be formed as a result of the changes in the drivers of the uncertainty type. Critical uncertainties cause the number of barriers to realizing a smart city to change and, in some cases, decrease and, in other cases, increase, which can be considered system results. According to the comparison of the changes in the obstacles to the realization of the smart city in different scenarios, a comprehensive analysis can be extracted regarding the realization of the smart city, and a theoretical model can be developed based on the average changes in the obstacles according to all scenarios.
Based on the findings of this research, to realize the management of the smart city of Rasht, it is necessary to establish the governance fields of people institutions in the city and the city to become global by relying on its branding capabilities, such as the creative city of gastronomy and should be introduced more and more to provide sustainable development in the UNESCO creative cities network and also by taking advantage of successful models in planned migration and sustainable urban development of Rasht and surrounding satellite towns. Centralized structures to create sustainable development can be considered a solution to achieve integrated, sustainable, and intelligent management in Rasht. This research intends to provide a clear answer to this question by presenting a systematic model and using methods based on strategic foresight. To answer the main question of the research, first by reviewing the research conducted on smart city management and analyzing the content of the study conducted in the field of establishing smart cities and exploring the research conducted at the international and national level, the key related factors They were identified with the management of smart cities based on thematic literature and conducted researches. The degree of centrality of the factor of lack of optimal health management and commodification of land more than other factors and the impact of changing business patterns and its effect on the economic system of the city and the lack of optimal management of the health sector have the most impact among the obstacles. In this way, in the middle of the model presented in this research, urban management obstacles are noted, considering the degree of centrality and influence. In the two outer layers of the figure, predetermined elements and drivers with uncertainty are placed. In the first layer, there are the factors and aspects of the internal context that occur in the urban management ecosystem and have the ability to be planned by the urban management factors, and in the second layer, which is the external context, there are elements that are influenced by the factors between are international and outside the control of the city management. The above model was created based on the intensity of relationships and the power of influence between them. Then, based on the degree of centrality and importance of the factors for each scenario, the above model is examined and evaluated to determine what effect each of the drivers in the scenarios will have on the obstacles of smart city management. Considering that the predetermined factors will always be static, the changes in the level of barriers to the realization of the smart city will only be formed as a result of the changes in the drivers of the uncertainty type. Critical uncertainties cause the number of barriers to realizing a smart city to change and, in some cases, decrease and, in other cases, increase, which can be considered system results. According to the comparison of the changes in the obstacles to the realization of the smart city in different scenarios, a comprehensive analysis can be extracted regarding the realization of the smart city, and a theoretical model can be developed based on the average changes in the obstacles according to all scenarios.

Keywords

Main Subjects


Ahmadi, K. (2015). Future research and the capacity of using its weak signals method in the process of public policy making. Journal of Future research and policy studies. Summer 2015, second term - number 2, pp. 52-60. (in Persian)
Alawadhi, S., Aldama-Nalda, A., Chourabi, H., Gil-Garcia, J. R., Leung, S., Mellouli, S., Nam, T., Pardo, T. A., Scholl, H. J., & Walker, S. (2012). Building understanding of smart city initiatives. In Electronic Government - 11th IFIP WG 8.5 International Conference, EGOV 2012, Proceedings (pp. 40-53). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7443 LNCS). https://doi.org/10.1007/978-3-642-33489-4_4
Ali Akbari, A., Pourahmad, A., & Jalalabadi, L. (2017). Identification of drivers affecting the future state of sustainable tourism in Kerman city with a future research approach. Tourism and development. 7(1), 156-178. (in Persian) https://www.sid.ir/fa/journal/ViewPaper.aspx?id=473704.
Alkanaani, H., Bahath, K. (2019). Evaluate the efficiency of the Iraqi city to overcome the challenges of sustainable smart cities. IOP Conference Series: Materials Science and Engineering. 518. DOI:10.1088/1757-899X/518/2/022003.
Amin Nayeri, B., Zali, N., & Motavaf, S. H. (2019). Identification of regional development drivers by scenario Planning. International Journal of Urban Management and Energy Sustainability1(2), 67-80. Doi: 10.22034/IJUMES.2017.06.15.016
Asghari Zamani, A., Zadvali, F., & Valikhajeh, S. (2012). Smart city, using technology to improve urban life (case example of Zanjan city). National Conference on Architecture and Sustainable Development. (in Persian)
Ayashm, M. (2020).An Analysis of the Megatrends Effects on the Future of the Iranian-Islamic City through Structural Analysis and Scenario Planning: A Case Study of the Historical Context of Tabriz. CIAUJ. 2020; 5 (2) :195-207. (in Persian) http://dx.doi.org/10.29252/ciauj.5.2.195.
Azari, N., & Fatahi, S. (2018). Strategic waste report of Gilan province, the inversion of the waste management pyramid and its consequences. Center for Presidential Strategic Studies. Machine number 367, report code: 170-98. (in Persian)
Azmi, M. (2006). Life and transportation in the smart city. Automotive Industry. No. 113. 29-27. (in Persian)
Bahruyan, I., Razavizadeh, S., Zandieh, H. (2019). Creating a strategic plan, the necessity of creating a smart city in Iran. The third scientific conference of Smart Tehran. (in Persian)
Batabyal, A., Beladi, H. (2019). The optimal provision of information and communication technologies in smart cities. Technological Forecasting and Social Change. 147, 216–220. DOI: 10.1016/j.techfore.2019.07.013.
Batty, M., Axhausen, K. W.,  Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Ouzounis, G., & Portugali, Y. (2012). Smart cities of the future. The European Physical Journal Special Topics. 214(1), 481–518.
Bell, Wendell. (2018). The basics of future research. Translated by Mustafa Taqvi. Defense Industries Educational and Research Institute. (in Persian)
Bibri, S. E., Krogstie, J. (2017). Smart sustainable cities of the future: An extensive interdisciplinary literature review. Sustainable Cities and Society. 31, 183-212. https://doi.org/10.1016/j.scs.2017.02.016
Bidkhori, A. (2014). Scenarios of the transition of Mashhad metropolis to a smart city with an emphasis on relocation. Doctoral thesis in the field of geography and urban planning, Ferdowsi University of Mashhad, International Campus under the guidance of Dr. Omid Ali Kharazmi. (in Persian)
Bourgeois, R., Penunia, E., Bisht, S., & Boruk, D. )2017(. Foresight for all: Co-elaborative scenario building and empowerment. Technological Forecasting and Social Change. 124. 178-188. DOI: 10.1016/j.techfore.2017.04.018
Byung Sung Yoon, A. J. J. (2016). Comparative Analysis for Fuzzy Cognitive Mapping. Technology Management for Social Innovation. 2016 Proceedings of PICMET ’16. http://dx.doi.org/10.1109/PICMET.2016.7806755
Ghanbari, H. (2016). Structural modeling of smart city theory based on good urban governance in Iran (case study: Tabriz Municipality), PhD thesis, Faculty of Geography and Planning, Tabriz University. (in Persian)
Ghasemi, F. (2012). Examining obstacles and solutions to the development of electronic services to citizens from the point of view of city managers (case study: Mashhad Municipality). Master's thesis, Ferdowsi University of Mashhad - Faculty of Literature and Humanities under the guidance of Dr. Mohammad Legzian. (in Persian)
Giffinger, R., & Gudrun, H. (2010). Smart cities ranking: an effective instrument for the positioning of the cities. ACE. Architecture, City and Environment. 4(12), 7-26. http://dx.doi.org/10.5821/ace.v4i12.2483
Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanović, N., & Meijers, E. (2007). Smart Cities: Ranking of European Medium-Sized Cities. Vienna, Austria: Centre of Regional Science (SRF), Vienna University of Technology. Www.Smart-cities. eu/download/smart_cities_final_report. Pdf.
Harrison, C., Donnelly, I. A. (2011). A Theory of Smart Cities. IBM Corporation. Hawaii International Conference on System Sciences. 2289- 2297.
Hosseini, S., Laali Nit, I., & Heydarinia, S. (2018). Analysis of the Pattern of Urban Smart Management, a New Way to Improve Urban Governance. Geography studies of urban planning. 7 (4), 743-762. (in Persian)
Ibrahim, M., El-Zaart, A., Adams, C. (2018). Smart sustainable cities roadmap: Readiness for transformation towards urban sustainability. Sustainable Cities and Society. 37, 530-540. http://dx.doi.org/10.1016/j.scs.2017.10.008
Jafari Mehrabadi, M., Sojodi, M., & Emami, S. (2017). Investigating the social, economic and physical characteristics of informal settlements. Development of Strategy. No. 54, Volume 14. (in Persian)
Judyta, W. (2016). Urban Infrastructure Facilities as an Essential Public Investment for Sustainable Cities – Indispensable but Unwelcome Objects of Social Conflicts. Case Study of Warsaw, Poland. Transportation Research Procedia. 16, 553 –565. http://dx.doi.org/10.1016/j.trpro.2016.11.052
Karadag, t. (2013). An Evaluation of the Smart City Approach. Master thesis, Middle East Technical University.
Kiani, A. (2006). The infrastructures of the electronic super map of metropolises (with an emphasis on electronic municipality and land use). The first international conference on e-municipality. (in Persian)
Kiani, A. (2010). The smart city is a necessity of the third millennium in the integrated interactions of electronic municipality (presenting a conceptual-executive model with an emphasis on Iranian cities). Environment Spatial Planning. 4(14), 39-64. SID. https://sid.ir/paper/130727/fa
Kourtit, K., P. Nijkamp. (2012). Smart cities in perspective – a comparative European study by means of self-organizing maps. Innovation The European Journal of Social Science Research. 25(2):229-246. https://doi.org/10.1080/13511610.2012.660330
Lee, J. H., Hancock, M. G., Hu, M. C. (2014). Towards an effective framework for building smart cities: Lessons from Seoul and San Francisco. Technological Forecasting and Social Change. 89, 80–99. https://doi.org/10.1016/j.techfore.2013.08.033
Lee, S. H., Han, J. H., Leem, Y. T., & Yigitcanlar, T. (2008). Towards ubiquitous city: concept, planning, and experiences in the Republic of Korea. In T. Yigitcanlar, K. Velibeyoglu, & S. Baum (Eds.), Knowledge-Based Urban Development: Planning and Applications in the Information Era (pp. 148-170). IGI Global. https://doi.org/10.4018/978-1-59904-720-1.ch009
Martin, Jay. (1993). Downcast Eye: The Denigration of vision in Twentieth-Century French Thought. Berkeley: University of California Press.
Mehr Ali Tabar Firouzjaei, M. (2018). The leading future: the macro trend of urbanization and future cities. Development and Foresight Research Center. Winter 2018. (in Persian)
Meshkini, A., Rabbani, T., Eftekhari, R., & Rafiyan, M. (2018). Governance Foresight, a Concept Development and Future of Tehran Metropolitan Governance. Urban planning geography researches. Volume 7, Number 3, Fall 2018, Pages 431-453. (in Persian) https://doi.org/10.22059/jurbangeo.2019.241191.778.
Mietzner, D., Reger, G. (2005). Advantages and disadvantages of scenario approaches for strategic foresight. Int. J. Technol. Intell. Plan. 1 (2), 220. https://doi.org/10.1504/IJTIP.2005.006516.
Mohammadi, G. (2015). Explaining the smart city model in Mashhad metropolis based on sustainable development. Doctoral thesis in the field of geography and urban planning, Ferdowsi University of Mashhad under the guidance of Dr. Baratali Khakpour. (in Persian)
Mosannenzadeh, F., Vettoratob, D. (2014). Defining smart city: Aconcepttual frame work based on key word analaysis. Journal of Land Use, Mobility and Environment. ISSN 1970-9889, e- ISSN 1970- 9870. http://dx.doi.org/10.6092/1970-9870/2523
Mousavi, M, Jalalian, I., & Sadat Kohki, F. (2016). Compilation of scenarios of factors affecting the development of tourism in West Azarbaijan province using scenario wizard. Urban Tourism Journal. Fall 2016, Number 3. (in Persian)
Nagimov, A.R., Akhmetshin, E., Slanov, V.P., Shpakova, R., Solomonov, M., & Il’Yaschenko, D. (2018). Foresight technologies in the formation of a sustainable regional development strategy. European Research Studies Journal. 21. 741-752. http://dx.doi.org/10.6092/1970-9870/2523
Nakhjirkan, P. (2022). Strategic foresight of smart city management in the horizon of 1415: case study of Rasht city. Doctoral dissertation. Imam Khomeini International University Qazvin (RA). Faculty of Social Sciences, Department of Future Studies, 158-162. (in Persian)
Nakhirkan, P., Ashoori Chahardeh, M., Zali, N., Barati, N., Darvishi Setalani, F., Mohammad Hosseini, B. (2023). Identifying the Key Drivers of Smart City Development by Using the Combination of Meta-Synthesis and EDAS. JFCV 2023; 4 (2) : 6. URL: http://jvfc.ir/article-1-251-en.html
Nakhjirkan, P., Darvishi, F., Barati, N., Zali, N., & mohammad hosseini, B. (2024). Strategic Foresight for Smart Cities Management in 1415: A Case of Study in Rasht. Journal of Iran Futures Studies, 9(1), 93-134. doi: https://doi.org/10.30479/jfs.2022.16571.1360
Nastaran, M., & Pirani, F. (2018). Compiling the Criteria and indicators of Smart City (Case Study: The Third Zone of Isfahan). Journal of Geography and Urban Space Development. 6 (1). (in Persian) https://doi.org/10.22067/gusd.v6i1.60475.
Ozesmi, U. O. S. (2004). Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach. Ecological Modelling. 176(1–2), 43–64. https://doi.org/10.1016/j.ecolmodel.2003.10.027
Papageorgiou, E. I. (2014). Fuzzy Cognitive Maps for Applied Sciences and Engineering. Chapter 2 Fuzzy Cognitive Maps as Representations of Mental Models and Group Beliefs. springer. Retrieved from http://www.springer.com/gp/book/9783642397387. http://dx.doi.org/10.1007/978-3-642-39739-4
Pelzer, P., & Versteegb, W. (2019). Imagination for change: The Post-Fossil City Contest. Futures. Volume 108, April 2019, Pages 12-26. http://dx.doi.org/10.1016/j.futures.2019.01.005
Pourahmad, A., Ziari, K., Hataminejad, H., & Peshahabadi, S. (2017). Explanation of Concept and Features of a smart city. Bagh-e Nazar. 15 (58). (in Persian)
Qalich, M., Mirzaei, H., & Rabbani, T. (2018). Urban Forecasting As An Approach To Urban Policy And Planning (With Emphasis on Tehran Foresight). Iran Future Research. 4(1), 51-69. (in Persian) https://doi.org/10.30479/jfs.2019.11038.1083.
Rabbani, T. (2016). Explanation of the foresight model of sustainable development of Tehran metropolis. Doctoral dissertation. Tarbiat Modares University. Faculty of Humanities, Department of Geography and Planning. (in Persian)
Rahnavard, F., & Mohammadi, D. (2006). Evaluating the evolutionary stages of electronic government in Iran. Research Journal of Executive Management. No. 27. (in Persian)
Rajaei, A., Moghadam, Z., Moghadam, A., & Sargolzaei, E. (2016). An overview of the role of data mining in the smart city. The fourth national conference on information technology, computers and telecommunications. Mashhad, Torbat Heydarieh University. (in Persian)
Rezayan Ghayehbashi, A., Marzban E. (2019). Identification of driving forces, uncertainties and future scenarios of Iran's environment. ijhe 2020; 12 (4) :531-554. (in Persian) URL: http://ijhe.tums.ac.ir/article-1-6278-fa.html.
Sajadian M, firoozi M, & PourAhmad, A.(2022). Systematic review of the process of smart city studies in scientific societies in Iran. JFCV. 2022; 3 (1) : 2. (in Persian) http://jvfc.ir/article-1-144-fa.html.
Sarfarazi, M. (1388). Evaluating the electronic readiness of a new concept in the establishment of the electronic city and electronic municipality. Information Technology Monthly. 49. (in Persian)
Silva, B. N., Khan, M., Han, K. (2018). Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities. Sustainable Cities and Society. Volume 38, April 2018, Pages 697-713. http://dx.doi.org/10.1016/j.scs.2018.01.053
Slaughter R.A. (2002). Futures studies as an intellectual and applied discipline. American Behavioral Scientist. 42 (3) 372–385.
Sofia Abadi, J., Kolahi, B., Valmohammadi, C. & Movahedi, M. (2014). Fuzzy cognitive strategy in determining the success path of the organization. Journal of Productivity Management. Year 9, No. 34, pp. 201-223. (in Persian) https://dorl.net/dor/20.1001.1.27169979.1394.9.3.10.7.
Sokolova, A., Veselitskayaa, N, Carabiasb, V., & Yildirimb, O. (2019). Scenario-based identification of key factors for smart cities development. Technological Forecasting and Social Change. Volume 148, November 2019. http://dx.doi.org/10.1016/j.techfore.2019.119729
Taheri, M. (2020). 20 major technological trends that will transform the world in the next decade. (in Persian) Available at: https://iranianfuturist.com/major-trends-of-technology-in-the-future/.
Tohidi, H. (2011). E-government and its difference dimension: Iran. Journal of Procedia computer science. vol.3, pp.1101-1105.
Toppeta, D. (2010). The Smart City Vision: How Innovation and ICT Can Build Smart, ‘Livable’, Sustainable Cities. Available from http://www.thinkinnovation.org/file/research/23/en/Toppeta_Report_005_2010.pdf.
UN, United Nations. (2018). World Urbaniztion Prospects: The 2018 Revision Population Database. Available from: https://population.un.org/wup/
Vasslides, J., Jensen, O. (2016). Fuzzy cognitive mapping in support of integrated ecosystem assessments: Developing a shared conceptual model among stakeholders. Journal of Environmental Management. http://dx.doi.org/10.1016/j.jenvman.2015.10.038
Wahab, N., Seow, T., Radzuan, S., Sulzakimin, M. (2020). A Systematic Literature Review on The Dimensions of Smart Cities. IOP Conference Series: Earth and Environmental Science. http://dx.doi.org/10.1088/1755-1315/498/1/012087
Zali, N., & Zamanipour, M. (2016). Presenting And Implementing A New Model For Scenario Building In Regional Plannings Case Study: Mazandaran Province. Geography and Territorial Spatial Arrangement,Vol 6(18) , PP 1-24 Doi 10.22111/gaij.2016.2365
Zali, N., & Zamanipoor, M. (2015). Systematic Analysis of Strategic Variables of Regional Development in Scenario- based Planning (Case: Mazandaran Province). Town and Country Planning7(1), 1-28. doi: 10.22059/jtcp.2015.54779