Smart City Gnosys
Smart city article details
| Title | Overcoming Smart City Barriers Using Multi-Modal Interpretive Structural Modeling |
|---|---|
| ID_Doc | 41108 |
| Authors | Nagpal R.; Mehrotra D.; Sehgal R.; Srivastava G.; Lin J.C.-W. |
| Year | 2023 |
| Published | Journal of Signal Processing Systems, 95, 2-3 |
| DOI | http://dx.doi.org/10.1007/s11265-022-01751-w |
| Abstract | Massive urbanization and resource scarcity are global phenomena for which researchers around the world see urban transformation into a smart city as the most viable solution. Yet urban planners face many hurdles in transforming cities. These include economic factors such as the high cost of infrastructure development and maintenance, social paradigms, governance, and environmental issues that limit government ambitions. To design an optimal strategy for creating a smart city, the various barriers must be identified and prioritized. The various barriers to the successful implementation of the smart city mission were identified using an extensive literature review and expert opinions. To understand the complex interdependencies among these barriers, the interpretive structural modeling method (ISM) was used. MICMAC analyzed the ISM model to classify the barriers. Indian cities vary greatly in terms of infrastructure, size, population, and available facilities. Therefore, the impact of the barriers and their interdependencies also vary. The author has extended the study and used the fuzzy approach MICMAC to improve the model by incorporating the variations observed when the city category changes. This study will help urban developers and planners to identify the relationship between barriers and design strategic planning to make the city smarter. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. |
| Author Keywords | Cognitive; Complexity analysis; Fuzzy; Internet of things; ISM; MICMAC; Smart cities |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
19416  | 0.882 | Yadav, G; Mangla, SK; Luthra, S; Rai, DP | Developing A Sustainable Smart City Framework For Developing Economies: An Indian Context | SUSTAINABLE CITIES AND SOCIETY, 47 (2019) |
| 11635 | 0.873 | Rana, NP; Luthra, S; Mangla, SK; Islam, R; Roderick, S; Dwivedi, YK | Barriers To The Development Of Smart Cities In Indian Context | INFORMATION SYSTEMS FRONTIERS, 21, 3 (2019) |
| 37652 | 0.871 | Singh A.; Singla A.R. | Modelling And Analysis Of Factors For Implementation Of Smart Cities: Tism Approach | Journal of Modelling in Management, 17, 4 (2022) |
| 9323 | 0.868 | Makki A.A.; Alqahtani A.Y. | Analysis Of The Barriers To Smart City Development Using Dematel | Urban Science, 8, 1 (2024) |
| 59532 | 0.867 | Nicolas, C; Kim, J; Chi, S | Understanding The Influences Of Urban-Specific Contexts For Smart City Development Using Structural Equation Modeling | JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 147, 2 (2021) |
| 12838 | 0.865 | Akgün E.Z.; Gerli P.; Mora L.; McTigue C. | Breaking Barriers For Breaking Ground: A Categorisation Of Public Sector Challenges To Smart City Project Implementation | Public Policy and Administration (2024) |
| 43927 | 0.863 | Nicolas, C; Kim, J; Chi, S | Quantifying The Dynamic Effects Of Smart City Development Enablers Using Structural Equation Modeling | SUSTAINABLE CITIES AND SOCIETY, 53 (2020) |
| 1815 | 0.858 | Sushma M.B.; Rashmitha Y.; Roy S. | A Framework On Understanding The Barriers Of Smart Cities And Intelligent Transportation System In India | Lecture Notes in Civil Engineering, 434 (2024) |
| 599 | 0.856 | Ajaj R.; Buniya M.K.; Wuni I.Y.; Yousif O.S. | A Case Study On The Barriers Towards Achieving Sustainable Smart City For Abu Dhabi | IET Smart Cities, 6, 2 (2024) |
| 11636 | 0.851 | Ševčík M.; Chaloupková M.; Zourková I.; Janošíková L. | Barriers To The Implementation Of Smart Projects In Rural Areas, Small Towns, And The City In Brno Metropolitan Area | European Countryside, 14, 4 (2022) |