Skip to main content
SpringerLink
Log in

User Sentiment Analysis Towards Adapting Smart Cities in Egypt

  • Conference paper
  • First Online:
The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023 (AICV 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 164))

  • 643 Accesses

Abstract

The smart city combines physical infrastructure to create mobility, add efficiencies, save energy, enhance air and water quality, recover from disasters, fix problems, data collection, data sharing, and effective resource deployment. Citizens are motivated in Egypt to be smart city’s residents, and the government should work on its citizens’ satisfaction and fulfill their needs when constructing and developing smart cities. This research aimed to investigate the factors that affect citizens choosing smart city life. The Sentiments were collected from 7,000 residents in 5 settlement compounds in New Cairo. Sentiments were collected, analyzed, and categorized into the following 10 groups: reducing traffic congestion, increasing people’s safety, reducing air pollution, reducing travel costs, advanced technology, parking availability, technical Facilities, Green landscape, reducing Noise pollution, and positive energy and relaxation. The results showed a positive attitude towards applying smart cities in Egypt. NB has the highest accuracy, 98%, SVM, 88%, and the decision tree, 71%.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. UN.: https://www.un.org/development/desa/en/news/population/2018-revision-of-world-urbanization-prospects.html. Accessed 11 Nov 2022

  2. Afonso, R.: Brazilian smart cities: using a maturity model to measure and compare inequality in cities, pp. 230–238 (2015)

    Google Scholar 

  3. Kwak, Y., Lee, J.: Toward sustainable smart city: lessons from 20 years of Korean programs. IEEE Trans. Eng. Manage. 70, 740–754 (2021)

    Article  Google Scholar 

  4. Appio, F., Lima, M., Paroutis, S.: Understanding smart cities: innovation ecosystems, technological advancements, and societal challenges. Technol. Forecast. Soc. Change 142, 1–14 (2019)

    Article  Google Scholar 

  5. Cardullo, P., Kitchin, R.: Being a ‘citizen’ in the smart city: up and down the scaffold of smart citizen participation in Dublin Ireland. GeoJournal 84(1), 1–13 (2019)

    Article  Google Scholar 

  6. Mizuno, Y., Odake, N.: Current status of smart systems and case studies of privacy protection platform for smart city in Japan, pp. 612–624 (2015)

    Google Scholar 

  7. Nam, T., Pardo, T.: Conceptualizing smart city with dimensions of technology, people, and institutions, In: ACM International Conference Proceeding Series, pp. 282–291 (2011)

    Google Scholar 

  8. Grady, M., Hare, G.: How Smart Is Your City?, pp. 3–5 (2012)

    Google Scholar 

  9. Alsabi, E., Alrwais, L., Alosimai, R., Alrwais, R., Dahanayake, A.: Benchmark for smart cities, Front. Artif. Intell. Appl. 280 (2016)

    Google Scholar 

  10. Yue, A., Mao, C., Chen, L., Liu, Z., Zhang, C., Li, Z.: Detecting changes in perceptions towards smart city on Chinese social media: a text mining and sentimentanalysis. Buildings 12, 1182 (2022)

    Article  Google Scholar 

  11. Han, M., Kim, M.: A critical review of the smart city in relation to citizen adoption towards sustainable smart living. HabitatInt. 108, 102312 (2021)

    Google Scholar 

  12. Adikari, A., Alahakoon, D.: Understanding citizens’ emotional pulse in a smart city using artificial intelligence. IEEE Trans. Ind. Inform. 17, 2743–2751 (2021)

    Article  Google Scholar 

  13. Kowalik, K.: Social media as a distribution of emotions, not participation. Polish exploratory study in the EU smart citycommunication context. Cities 108, 102995 (2021)

    Article  Google Scholar 

  14. Steinmetz, C., et al.: Liking, tweeting and posting: an analysis of community engagement through social media platforms. Urban Policy Res. 39, 85–105 (2021)

    Article  Google Scholar 

  15. Wang, A., Lin, W., Liu, B., Wang, H., Xu, H.: Does smart city construction improve the green utilization efficiency of urban land? Land 10, 657 (2021)

    Article  Google Scholar 

  16. Mendez Mena, D., Papapanagiotou, I., Yang, B.: Internet of things: survey on security. Inf. Secur. J. Glob. Perspect. 27(3), 162–182 (2021)

    Article  Google Scholar 

  17. Rasekh, A., Hassanzadeh, A., Mulchandani, S., Modi, S., Banks, M.: Smart water networks and cyber security (2021)

    Google Scholar 

  18. Schultz, W., Javey, S., Sorokina, A.: Smart water meters and data analytics decrease wasted water due to leaks. J. Am. Water Works Ass. 110(11), E24–E30 (2021)

    Article  Google Scholar 

  19. Phadtare, S., IndajeetJadhav, A.: Role of smart cities in sustainable development. International J. Eng. Res. Technol. 10(1). International Research Publication House (2017)

    Google Scholar 

  20. Habib, A., Alsmadi, D., Prybutok, V.: Factors that determine residents’ acceptance of smart city technologies. Behav Inform Technol 39(6), 610–623 (2020)

    Article  Google Scholar 

  21. Kuberkar, S., Singhal, T.: Factors influencing adoption intention of AI powered chatbot for public transport services within a smart city. Int. J. Emerg. Technol. Learn. 11(3), 948–958 (2022)

    Google Scholar 

  22. Albreem, M.A., et al.:Green internet of things (IoT): an overview. In: 2017 IEEE 4th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), pp. 1–6. IEEE (2017)

    Google Scholar 

  23. Al Ridhawi, I., Kotb, Y., Aloqaily, M., Jararweh, Y., Baker, T.: A profitable and energy-efficient cooperative fog solution for IoT services. IEEE Trans. Industr. Inf. 16(5), 3578–3586 (2019)

    Article  Google Scholar 

  24. Al-Zinati, M., Almasri, T., Alsmirat, M., Jararweh, Y.: Enabling multiple health security threats detection using mobile edge computing. Simul. Model. Pract. Theory 101, 101957 (2020)

    Article  Google Scholar 

  25. Shadroo, S., Rahmani, A.M., Rezaee, A.: The two-phase scheduling based on deep learning in the Internet of Things. Comput. Netw. 185, 107684 (2021)

    Article  Google Scholar 

  26. Ng, I., Wakenshaw, S.: The Internet-of-Things: review and research directions. Int. J. Res. Mark. 34(1), 3–21 (2017)

    Article  Google Scholar 

  27. Bibri, S., Krogstie, J.: Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain. Cities Soc. 31, 183–212 (2017)

    Article  Google Scholar 

  28. Said, A., Tolba, A.: Accurate performance prediction of IoT communication systems for smart cities: an efficient. Sustain. Cities Soc. 69, 102830 (2021)

    Article  Google Scholar 

  29. Abou El Seoud, T.: How much Smart to be Smart?, J. Urban Res. 31 (2019)

    Google Scholar 

  30. Lopes, I., Oliveira, P.: Can a small city be considered a smart city. Procedia Comput. Sci. 121, 617–624 (2017)

    Article  Google Scholar 

  31. Batty, M.: Big data, smart cities and city planning. J. Dialogues Hum. Geogr. 3, 274–279 (2013)

    Article  Google Scholar 

  32. (2022). Gopp http://gopp.gov.eg/

  33. NUCA: Accomplishments: Building new fourth-generation cities. New Urban Communities Authority, Ministry of Housing, Utilities & Urban Communities (2018). http://www.lands.nuca.gov.eg

  34. Abou El Seoud, T.Z.A.: Towards sustainability: smart cities in the Egyptian environment. J. Urban Res. 31, 123–142 2019

    Google Scholar 

  35. Zanella, A., Bui, N., Castellani, A., Vangelista, L., Zorzi, M.: Internet of things for smart cities. IEEE Internet Things J. 1(1), 22–32 (2022)

    Article  Google Scholar 

  36. NutifafaArku, R., Adrian Buttazzoni, A., Agyapon-Ntra, K., ElmondBandauko, A.: Highlighting smart city mirages in public perceptions: a Twitter sentiment analysis of four African smart city projects. Cities 130, 103857 (2022)

    Article  Google Scholar 

  37. Pawełoszek, I.: Towards a smart city—the study of car-sharing services in Poland. Energies 15, 8459 (2022)

    Article  Google Scholar 

  38. Mostafa,L.: Machine Learning-Based Sentiment Analysis for Analyzing the Travelers Reviews on Egyptian Hotels, March 2020, In book: Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). https://doi.org/10.1007/978-3-030-44289-7_38

  39. Mostafa, L., Beshir, S.: Job Candidate Rank Approach using Machine Learning Techniques (AMLTA) (2021)

    Google Scholar 

  40. Mostafa L., Beshir S.: University Selection Model Using Machine Learning Techniques. In: Hassanien A.E. et al. (eds.) Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)

    Google Scholar 

  41. Mostafa, L., Beshir, S.: Understating factors affecting traveling during covid-19 using sentiment analysis. In: Hassanien, A.E., Snášel, V., Chang, K.-C., Darwish, A., Gaber, T. (eds.) AISI 2021. LNDECT, vol. 100, pp. 105–114. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-89701-7_10

    Chapter  Google Scholar 

  42. Mostafa, L., Beshir, S.: Using Gamification in Egyptian E-Government. In: Hassanien, A.E., Snášel, V., Tang, M., Sung, TW., Chang, KC. (eds.). AISI 2022. LNDEC Technologies, vol 152, 344–353. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-20601-6_31

  43. Knime (2022) http://www.knime.com/. Accessed 11 Nov 2022

Download references

Author information

Authors and Affiliations

  1. Business Information System Department, Arab Academy for Science and Technology and Maritime Transport, Alexandria, Egypt

    Lamiaa Mostafa & Sara Beshir

Authors
  1. Lamiaa Mostafa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sara Beshir
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lamiaa Mostafa .

Editor information

Editors and Affiliations

  1. Faculty of Computer and AI, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

    Ahmad Taher Azar

  4. Department of Computer Science, University of South Dakota, Vermillion, SD, USA

    KC Santosh

  5. Vardhaman College of Engineering, Hyderabad, Telangana, India

    M. A. Jabbar

  6. Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland

    Adam Słowik

  7. Department of Computer Science, Avinashilingam University for Women, Coimbatore, Tamil Nadu, India

    Parthasarathy Subashini

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mostafa, L., Beshir, S. (2023). User Sentiment Analysis Towards Adapting Smart Cities in Egypt. In: Hassanien, A.E., et al. The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023. AICV 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-031-27762-7_32

Download citation

Publish with us

Policies and ethics

Search

Navigation