Smart City Gnosys
Smart city article details
| Title | Leveraging Ai Techniques For An Efficient Approach To Smart City Planning And Maintenance |
|---|---|
| ID_Doc | 35027 |
| Authors | Pallavi; Joshi, S |
| Year | 2025 |
| Published | SMART CITIES, ICSC-CITIES 2024, 2394 |
| DOI | http://dx.doi.org/10.1007/978-3-031-85324-1_10 |
| Abstract | This research paper aims to examine the use of proposed AI techniques and their effectiveness when applied to developing countries. Developed countries have applied Sentiment Analysis to great effect in the past with significant results; this was possible due to foundational infrastructure and an accustomed urban population. For developing countries ushering into urban centers and lacking infrastructure, smart city planning and maintenance must adapt to the unique behavioral, socioeconomic, and bureaucratic challenges. Sentiment Analysis of publicly obtained data coupled with cooperation from local authorities could prove instrumental in significantly improving the quality of life in smart cities. The analysis could provide immediate relief from problems with simple solutions that usually evade easy and prompt discovery by the authorities. As countries continue to develop, the analysis of existing smart cities could provide guidelines to consult when planning new smart cities. Employing AI-based planning algorithms coupled with Big Data Analytics shows considerable promise here; the concentration of highly skilled employees and their migration patterns as work-from-home policies allow for completely remote employment opportunities could be a big factor in selecting areas for rigorous urbanization. Smart city planning would benefit a lot from AI-assisted disaster prevention and management considerations: the placement of roads, the shape of apartment blocks, the size of their foundation, occupational capacities, etc. could prevent loss of life and property in events of disaster. This paper aims to address these challenges and examine their pre-existing solutions. |
| Author Keywords | Big Data; Machine Learning; NLP; Sentiment Analysis; Social Media; Smart Cities; VADER |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
7228  | 0.873 | Son T.H.; Weedon Z.; Yigitcanlar T.; Sanchez T.; Corchado J.M.; Mehmood R. | Algorithmic Urban Planning For Smart And Sustainable Development: Systematic Review Of The Literature | Sustainable Cities and Society, 94 (2023) |
| 16010 | 0.873 | Yigitcanlar T.; Desouza K.C.; Butler L.; Roozkhosh F. | Contributions And Risks Of Artificial Intelligence (Ai) In Building Smarter Cities: Insights From A Systematic Review Of The Literature | Energies, 13, 6 (2020) |
| 47324 | 0.867 | Kumar A.; Jaiswal A. | Scalable Intelligent Data-Driven Decision Making For Cognitive Cities | Energy Systems, 13, 3 (2022) |
| 6918 | 0.867 | Abdedaime M.; Hazman C.; Qafas A.; Jerry M.; Guezzaz A. | Ai Applications In Smart Cities Between Advantages And Security Challenge | Lecture Notes in Networks and Systems, 635 LNNS (2023) |
| 49706 | 0.865 | Pratibha; Kaur G.; Dev P.; Kaur A. | Smart Cities Unveiled The Ai Revolution In Urban Development | Internet of Things and Big Data Analytics-Based Manufacturing (2024) |
| 46598 | 0.864 | Bhuvanya R.; Mariammal G.; Sivakumar K.; Ganga M.; Anish T.P.; Swetha S.; Siva Subramanian R. | Revolutionizing Urban Planning: The Role Of Ai And Predictive Analytics In Sustainable City Development | Leveraging Urban Computing for Sustainable Urban Development (2025) |
| 6945 | 0.864 | Rodriguez E.; Edwards J.S. | Ai In Smart Cities Development: A Perspective Of Strategic Risk Management | European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2019 (2019) |
| 8371 | 0.861 | Montanaro T.; Sergi I.; Basile M.; Matera M.; Giangreco E.; Alessi M.; Patrono L. | An Innovative Decision Support System For Smart Cities Government Based On Sentiment Analysis And Iot Technologies | 2022 7th International Conference on Smart and Sustainable Technologies, SpliTech 2022 (2022) |
| 13108 | 0.861 | Karger E.; Rothweiler A.; Brée T.; Ahlemann F. | Building The Smart City Of Tomorrow: A Bibliometric Analysis Of Artificial Intelligence In Urbanization | Urban Science, 9, 4 (2025) |
| 10208 | 0.86 | Varshney H.; Khan R.A.; Khan U.; Verma R. | Approaches Of Artificial Intelligence And Machine Learning In Smart Cities: Critical Review | IOP Conference Series: Materials Science and Engineering, 1022, 1 (2021) |