Araştırma Makalesi
BibTex RIS Kaynak Göster

Yıl 2026, Cilt: 16 Sayı: 1 , 451 - 472 , 26.03.2026
https://doi.org/10.30783/nevsosbilen.1827223
https://izlik.org/JA28GZ46CC

Öz

Kaynakça

  • Ababneh, A. (2023). Smart urban management of green space. Journal of Design for Resilience in Architecture and Planning, 4(3), 339-353.
  • Aflaki, A.; Mirnezhad, M.; Ghaffarianhoseini, A.; Ghaffarianhoseini, A.; Omrany, H.; Wang, Z.H.; Akbari, H. Urban heat island mitigation strategies: A state-of-the-art review on Kuala Lumpur, Singapore and Hong Kong. Cities 2017, 62, 131–145.
  • Agarwal, P., Mittal, M., Ahmed, J., & Idrees, S. M. (Eds.). (2022). Smart technologies for energy and environmental sustainability. Springer International Publishing.
  • Aivazidou, E., Banias, G., Lampridi, M., Vasileiadis, G., Anagnostis, A., Papageorgiou, E., & Bochtis, D. (2021). Smart technologies for sustainable water management: An urban analysis. Sustainability, 13(24), 13940.
  • Ales, F. (2019). Evolution of smart cities movements toward resilient cities. A comparative analysis of case studies in Tokyo, Japan (Doctoral dissertation, Politecnico di Torino).
  • Ali, T., Irfan, M., Alwadie, A. S., & Glowacz, A. (2020). IoT-based smart waste bin monitoring and municipal solid waste management system for smart cities. Arabian Journal for Science and Engineering, 45, 10185-10198. Alqadad, A., Shahrour, I., & Sukik, A. (2017). Smart system for safe and optimal soil investigation in urban areas. Underground Space, 2(4), 220-226.
  • Alvarez, R., Duarte, F., Frenchman, D., & Ratti, C. (2022). Sensing lights: the challenges of transforming street lights into an urban intelligence platform. Journal of Urban Technology, 29(4), 25-40.
  • Anagnostopoulos, T., Zaslavsky, A., Kolomvatsos, K., Medvedev, A., Amirian, P., Morley, J., & Hadjieftymiades, S. (2017). Challenges and opportunities of waste management in IoT-enabled smart cities: A survey. IEEE Transactions on Sustainable Computing, 2(3), 275-289.
  • Baek, I. (2015). A study on the sustainable infrastructure of the Songdo City Project: from the viewpoint of the metabolic flow perspective (Doctoral dissertation, Stellenbosch: Stellenbosch University).
  • Bakker, K., & Ritts, M. (2018). Smart Earth: A meta-review and implications for environmental governance. Global environmental change, 52, 201-211.
  • Balasubramaniam, A., Paul, A., Hong, W. H., Seo, H., & Kim, J. H. (2017). Comparative analysis of intelligent transportation systems for sustainable environment in smart cities. Sustainability, 9(7), 1120.
  • Barmpoutis, P., Papaioannou, P., Dimitropoulos, K., & Grammalidis, N. (2020). A review on early forest fire detection systems using optical remote sensing. Sensors, 20(22), 6442.
  • Baydaş, A., Aktaş, M. & Yaşar, M. E. (2020). Çevre Dostu Ürün ve Çevre Dostu Ürün Ambalajının Tüketici Satın Alma Davranışına Etkisinin Belirlenmesi-Bingöl İli Örneği. Siirt Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 8(16), 314-333.
  • Benavente-Peces, C. (2019). On the energy efficiency in the next generation of smart buildings—Supporting technologies and techniques. Energies, 12(22), 4399.
  • Bibri, S. E., & Krogstie, J. (2020). The emerging data–driven Smart City and its innovative applied solutions for sustainability: The cases of London and Barcelona. Energy Informatics, 3(1), 5.
  • Casini, M. (2016). Smart Buildings, Advanced Materials and Nanotechnology to Improve Energy-Efficiency and Environmental Performance. In Smart Buildings, Advanced Materials and Nanotechnology to Improve Energy-Efficiency and Environmental Performance (Vol. 69, pp. 1-384). Elsevier-Woodhead Publishing.
  • Castanho, G., Taherdoost, H., & Madanchian, M. (2025). AI-Powered Sustainability in Smart Cities. Procedia Computer Science, 258, 2639-2646.
  • Chen, Q., Li, L., Chong, C., & Wang, X. (2022). AI‐enhanced soil management and smart farming. Soil use and management, 38(1), 7-13.
  • Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
  • Cypress, B. S. (2017). Rigor or reliability and validity in qualitative research: Perspectives, strategies, reconceptualization, and recommendations. Dimensions of critical care nursing, 36(4), 253-263.
  • Demiris, G., & Hensel, B. K. (2008). Technologies for an aging society: a systematic review of “smart home” applications. Yearbook of medical informatics, 17(01), 33-40.
  • Dincer, I., & Acar, C. (2017). Smart energy systems for a sustainable future. Applied energy, 194, 225-235.
  • Esmaeilian, B., Wang, B., Lewis, K., Duarte, F., Ratti, C., & Behdad, S. (2018). The future of waste management in smart and sustainable cities: A review and concept paper. Waste management, 81, 177-195.
  • Fang, B., Yu, J., Chen, Z., Osman, A. I., Farghali, M., Ihara, I., ... & Yap, P. S. (2023). Artificial intelligence for waste management in smart cities: a review. Environmental Chemistry Letters, 21(4), 1959-1989.
  • Farré Cabanillas, J. A., Mateu Piñol, C., Teixidó Cairol, M., & Cabeza, L. F. (2023). Pneumatic Urban Waste Collection Systems: A Review.
  • Franklin, C., & Ballan, M. (2001). Reliability and validity in qualitative research. The handbook of social work research methods, 4(273-292).
  • Golafshani, N. (2003). Understanding reliability and validity in qualitative research. The qualitative report, 8(4), 597-607.
  • Grimaldi, D., Shalla, K., Fontanals, I., & Carrasco-Farré, C. (2021). From smart city to data-driven city. In Implementing Data-Driven Strategies in Smart Cities: A Roadmap for Urban Transformation (pp. 1-45). Elsevier.
  • Gupta, A. D., Pandey, P., Feijóo, A., Yaseen, Z. M., & Bokde, N. D. (2020). Smart water technology for efficient water resource management: A review. Energies, 13(23), 6268.
  • Hanif, N. A., Utomo, E. P., & Husein, R. (2024). Comparative Study of Indonesia and Denmark in Creating a Smart Environment. Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management), 14(1), 160-173.
  • Irajifar, L., & Vu, K. N. (2022). Digital Solutions for Resilient Cities: A Critical Assessment of Resilience in Smart City Initiatives in Melbourne, Victoria. In Resilient Smart Cities: Theoretical and Empirical Insights (pp. 239-264). Cham: Springer International Publishing.
  • Jabłońska, J. (2020). Urban noise pollution prevention—Tokyo case study. Polish Political Science Review, 8(2), 101-109.
  • Jayagopal, R., Devapounraj, T., & Mayilvelnathan, V. (2020). Solar-assisted smart solid waste dustbin. In Emerging Technologies for Agriculture and Environment: Select Proceedings of ITsFEW 2018 (pp. 127-142). Springer Singapore.
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Daha yaşanabilir şehirler için yapay zekâ destekli akıllı çevre teknolojileri ve uygulamalı örnekler

Yıl 2026, Cilt: 16 Sayı: 1 , 451 - 472 , 26.03.2026
https://doi.org/10.30783/nevsosbilen.1827223
https://izlik.org/JA28GZ46CC

Öz

ÖZ
Makale, daha yaşanabilir şehirler yaratmak için kritik öneme sahip kaynak verimliliği, kirlilik kontrolü ve veriye dayalı karar alma gibi hayati konuları ele almaktadır. Akıllı çevre teknolojilerinin kentsel sürdürülebilirliği ilerletmedeki kritik rolünü vurgulamaktadır. Bu bağlamda, hava ve su kalitesi, gürültü kirliliği ve enerji tüketimi gibi çevresel faktörlerin gerçek zamanlı izlenmesini sağlamak için IoT cihazlarının, sensör ağlarının ve gelişmiş analitik yöntemlerin entegre edilmesinin gerekliliğini vurgulamaktadır. Bu sürekli veri akışı, şehir yöneticilerinin ekolojik zorluklara hızlı bir şekilde yanıt vermelerini ve kaynak kullanımını optimize etmelerini sağlayacaktır. Çalışma, yapay zeka destekli akıllı IoT teknolojilerinin enerji yönetimi, akıllı şebekeler, karbon emisyonu azaltımı ve yenilenebilir enerji sistemlerinin şehirlere entegrasyonu gibi hayati konulara nasıl katkıda bulunabileceği konusunda ikna edici öneriler sunmaktadır. Altyapı, veri gizliliği ve yönetişimle ilgili zorlukları kabul ederken, yapay zekâ, IoT ve büyük veri analitiğinin ortak entegrasyonu, sürdürülebilir akıllı şehirler için dönüştürücü bir güç olarak sunulmaktadır. Makale, konuyu kentsel gelişim perspektifinden 14 uygulama örneği aracılığıyla ayrıntılı olarak incelemektedir. Bu bağlamda, nitel araştırma teknikleri olarak betimsel analiz ve gözlemsel yöntemler seçilmiştir.

Kaynakça

  • Ababneh, A. (2023). Smart urban management of green space. Journal of Design for Resilience in Architecture and Planning, 4(3), 339-353.
  • Aflaki, A.; Mirnezhad, M.; Ghaffarianhoseini, A.; Ghaffarianhoseini, A.; Omrany, H.; Wang, Z.H.; Akbari, H. Urban heat island mitigation strategies: A state-of-the-art review on Kuala Lumpur, Singapore and Hong Kong. Cities 2017, 62, 131–145.
  • Agarwal, P., Mittal, M., Ahmed, J., & Idrees, S. M. (Eds.). (2022). Smart technologies for energy and environmental sustainability. Springer International Publishing.
  • Aivazidou, E., Banias, G., Lampridi, M., Vasileiadis, G., Anagnostis, A., Papageorgiou, E., & Bochtis, D. (2021). Smart technologies for sustainable water management: An urban analysis. Sustainability, 13(24), 13940.
  • Ales, F. (2019). Evolution of smart cities movements toward resilient cities. A comparative analysis of case studies in Tokyo, Japan (Doctoral dissertation, Politecnico di Torino).
  • Ali, T., Irfan, M., Alwadie, A. S., & Glowacz, A. (2020). IoT-based smart waste bin monitoring and municipal solid waste management system for smart cities. Arabian Journal for Science and Engineering, 45, 10185-10198. Alqadad, A., Shahrour, I., & Sukik, A. (2017). Smart system for safe and optimal soil investigation in urban areas. Underground Space, 2(4), 220-226.
  • Alvarez, R., Duarte, F., Frenchman, D., & Ratti, C. (2022). Sensing lights: the challenges of transforming street lights into an urban intelligence platform. Journal of Urban Technology, 29(4), 25-40.
  • Anagnostopoulos, T., Zaslavsky, A., Kolomvatsos, K., Medvedev, A., Amirian, P., Morley, J., & Hadjieftymiades, S. (2017). Challenges and opportunities of waste management in IoT-enabled smart cities: A survey. IEEE Transactions on Sustainable Computing, 2(3), 275-289.
  • Baek, I. (2015). A study on the sustainable infrastructure of the Songdo City Project: from the viewpoint of the metabolic flow perspective (Doctoral dissertation, Stellenbosch: Stellenbosch University).
  • Bakker, K., & Ritts, M. (2018). Smart Earth: A meta-review and implications for environmental governance. Global environmental change, 52, 201-211.
  • Balasubramaniam, A., Paul, A., Hong, W. H., Seo, H., & Kim, J. H. (2017). Comparative analysis of intelligent transportation systems for sustainable environment in smart cities. Sustainability, 9(7), 1120.
  • Barmpoutis, P., Papaioannou, P., Dimitropoulos, K., & Grammalidis, N. (2020). A review on early forest fire detection systems using optical remote sensing. Sensors, 20(22), 6442.
  • Baydaş, A., Aktaş, M. & Yaşar, M. E. (2020). Çevre Dostu Ürün ve Çevre Dostu Ürün Ambalajının Tüketici Satın Alma Davranışına Etkisinin Belirlenmesi-Bingöl İli Örneği. Siirt Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 8(16), 314-333.
  • Benavente-Peces, C. (2019). On the energy efficiency in the next generation of smart buildings—Supporting technologies and techniques. Energies, 12(22), 4399.
  • Bibri, S. E., & Krogstie, J. (2020). The emerging data–driven Smart City and its innovative applied solutions for sustainability: The cases of London and Barcelona. Energy Informatics, 3(1), 5.
  • Casini, M. (2016). Smart Buildings, Advanced Materials and Nanotechnology to Improve Energy-Efficiency and Environmental Performance. In Smart Buildings, Advanced Materials and Nanotechnology to Improve Energy-Efficiency and Environmental Performance (Vol. 69, pp. 1-384). Elsevier-Woodhead Publishing.
  • Castanho, G., Taherdoost, H., & Madanchian, M. (2025). AI-Powered Sustainability in Smart Cities. Procedia Computer Science, 258, 2639-2646.
  • Chen, Q., Li, L., Chong, C., & Wang, X. (2022). AI‐enhanced soil management and smart farming. Soil use and management, 38(1), 7-13.
  • Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
  • Cypress, B. S. (2017). Rigor or reliability and validity in qualitative research: Perspectives, strategies, reconceptualization, and recommendations. Dimensions of critical care nursing, 36(4), 253-263.
  • Demiris, G., & Hensel, B. K. (2008). Technologies for an aging society: a systematic review of “smart home” applications. Yearbook of medical informatics, 17(01), 33-40.
  • Dincer, I., & Acar, C. (2017). Smart energy systems for a sustainable future. Applied energy, 194, 225-235.
  • Esmaeilian, B., Wang, B., Lewis, K., Duarte, F., Ratti, C., & Behdad, S. (2018). The future of waste management in smart and sustainable cities: A review and concept paper. Waste management, 81, 177-195.
  • Fang, B., Yu, J., Chen, Z., Osman, A. I., Farghali, M., Ihara, I., ... & Yap, P. S. (2023). Artificial intelligence for waste management in smart cities: a review. Environmental Chemistry Letters, 21(4), 1959-1989.
  • Farré Cabanillas, J. A., Mateu Piñol, C., Teixidó Cairol, M., & Cabeza, L. F. (2023). Pneumatic Urban Waste Collection Systems: A Review.
  • Franklin, C., & Ballan, M. (2001). Reliability and validity in qualitative research. The handbook of social work research methods, 4(273-292).
  • Golafshani, N. (2003). Understanding reliability and validity in qualitative research. The qualitative report, 8(4), 597-607.
  • Grimaldi, D., Shalla, K., Fontanals, I., & Carrasco-Farré, C. (2021). From smart city to data-driven city. In Implementing Data-Driven Strategies in Smart Cities: A Roadmap for Urban Transformation (pp. 1-45). Elsevier.
  • Gupta, A. D., Pandey, P., Feijóo, A., Yaseen, Z. M., & Bokde, N. D. (2020). Smart water technology for efficient water resource management: A review. Energies, 13(23), 6268.
  • Hanif, N. A., Utomo, E. P., & Husein, R. (2024). Comparative Study of Indonesia and Denmark in Creating a Smart Environment. Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management), 14(1), 160-173.
  • Irajifar, L., & Vu, K. N. (2022). Digital Solutions for Resilient Cities: A Critical Assessment of Resilience in Smart City Initiatives in Melbourne, Victoria. In Resilient Smart Cities: Theoretical and Empirical Insights (pp. 239-264). Cham: Springer International Publishing.
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AI-powered smart environmental technologies and applied examples for more livable cities

Yıl 2026, Cilt: 16 Sayı: 1 , 451 - 472 , 26.03.2026
https://doi.org/10.30783/nevsosbilen.1827223
https://izlik.org/JA28GZ46CC

Öz

ABSTRACT
The article addresses vital issues such as resource efficiency, pollution control, and data-driven decision-making, which are crucial for creating more liveable cities. It highlights the critical role of smart environmental technologies in advancing urban sustainability. In this regard, it highlights the need to integrate IoT devices, sensor networks, and advanced analytical methods to enable real-time monitoring of environmental factors such as air and water quality, noise pollution, and energy consumption. This continuous data flow will allow city managers to respond quickly to ecological challenges and optimize resource use. The study offers compelling recommendations for how AI-enabled smart IoT technologies can contribute to vital issues such as energy management, smart grids, carbon emission reduction, and the integration of renewable energy systems into cities. While acknowledging challenges related to infrastructure, data privacy, and governance, the joint integration of AI, IoT, and big data analytics is presented as a transformative force for sustainable smart cities. The article examines the topic in detail through 14 application examples from the urban development perspective. In this context, descriptive analysis and observational methods were adopted as qualitative research techniques.

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  • Sosunova, I., & Porras, J. (2022). IoT-enabled smart waste management systems for smart cities: A systematic review. IEEE Access, 10, 73326-73363.
  • Stuit, A., Brockington, D., & Corbera, E. (2022). Smart, commodified and encoded: Blockchain technology for environmental sustainability and nature conservation. Conservation and Society, 20(1), 12-23.
  • Syed Taha, S. N., Abu Talip, M. S., Mohamad, M., Azizul Hasan, Z. H., & Tengku Mohmed Noor Izam, T. F. (2024). Evaluation of LoRa Network Performance for Water Quality Monitoring Systems. Applied Sciences, 14(16), 7136.
  • Tarannum, S., Usha, S. M., & Zohra, F. (2025). Integrating LoRa Technology and Artificial Intelligence for Enhanced Environmental Monitoring and Climate Resilience. In Internet of Vehicles and Computer Vision Solutions for Smart City Transformations (pp. 311-335). Cham: Springer Nature Switzerland.
  • Telsaç, C. & Atmaca, Y. (2022). Çevre Yönetimi ve İklim Değişikliği, Küresel İklim Değişikliği (Nedenler, Sorunlar ve Çözüm Önerileri) Ed. Veysel Eren, Edition: 1 Publisher: Gazi Kitapevi.
  • Telsaç, C. ve Arı, F. (2025). Yapay Zekâ Çağında Akıllı Kentler. Paradigma Akademi. Çanakkale. ISBN: 978-625-8674-08-8.
  • Telsaç, C. ve Kandeğer, B. (2022). Sustainable Urbanization. Conference: 6th International New York Conference On Evolving Trends In Interdisciplinary Research & Practices Manhattan Newyork USA.
  • Telsaç, C., Telsaç, Ö. (2022). Sürdürülebilir Kentsel Kalkınma ve Çevre Boyutu, İklim Değişikliği ve Yeşil Kalkınma Publisher: Paradigma, (Ed. Ayşe Esra Peker) Akademi.
  • Trevathan, J., & Johnstone, R. (2018). Smart environmental monitoring and assessment technologies (SEMAT)—A new paradigm for low-cost, remote aquatic environmental monitoring. Sensors, 18(7), 2248.
  • Uçar, Z., Akay, A. E., & Bilici, E. (2020). Towards green smart cities: Importance of Urban forestry and urban vegetation. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 44, 399-403.
  • Vermesan, O., & Friess, P. (Eds.). (2013). Internet of things: converging technologies for smart environments and integrated ecosystems. River publishers.
  • Wang, C., Gu, J., Martínez, O. S., & Crespo, R. G. (2021). Economic and environmental impacts of energy efficiency over smart cities and regulatory measures using a smart technological solution. Sustainable Energy Technologies and Assessments, 47, 101422.
  • Wang, Q., & Abdelrahman, W. (2023). High-Precision AI-enabled flood prediction integrating local sensor data and 3rd party weather forecast. Sensors, 23(6), 3065.
  • Wolniak, R. (2023). Smart Mobility in Smart City-Copenhagen and Barcelona Comparision. Zeszyty Naukowe. Organizacja i Zarządzanie/Politechnika Śląska, (172 Współczesne zarządzanie, Contemporary Management), 679-697.
  • Yılmaz, V., & Telsaç, C. (2021a). Akıllı Kent ve Dijitalleşme, Akıllı Kentler (Uygulamalar, Sorunlar ve Çözümler) Ed. (Yakup Bulut, M. Miraç Aslan) Chapter: 7 Publisher: Ekin Yayınevi.
  • Yılmaz, V., & Telsaç, C. (2021b). Smart City Components. Conference: Al Farabi Journal 10th International Conference on Social Sciences November 16-17, 2021 Arapgir At: Malatya, Turkiye.
Toplam 85 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Siyaset Biliminde Çevre Politikası
Bölüm Araştırma Makalesi
Yazarlar

Ferhat Arı 0000-0001-6397-1398

Cüneyt Telsaç 0000-0002-4133-4846

Gönderilme Tarihi 20 Kasım 2025
Kabul Tarihi 5 Şubat 2026
Yayımlanma Tarihi 26 Mart 2026
DOI https://doi.org/10.30783/nevsosbilen.1827223
IZ https://izlik.org/JA28GZ46CC
Yayımlandığı Sayı Yıl 2026 Cilt: 16 Sayı: 1

Kaynak Göster

APA Arı, F., & Telsaç, C. (2026). AI-powered smart environmental technologies and applied examples for more livable cities. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 16(1), 451-472. https://doi.org/10.30783/nevsosbilen.1827223