Akıllı Kent Uygulamalarının Kullanıcı Görüşleri Doğrultusunda Değerlendirilmesi: Türkiye Örneği

Year 2020, Issue: 20, 381 - 391, 31.12.2020

Orhun Soydan Ahmet Benliay

https://doi.org/10.31590/ejosat.781153

Abstract

Şehirler dinamik, üretken, yenilikçi ve çekici alanlara dönüşmektedir. Bu dönüşüm nedeniyle sağlık, enerji, trafik, atık yönetimi, hava ve su kirliliği, plansız kentleşme, doğal kaynakların azalması gibi bazı sorunlar ortaya çıkmaktadır. Bu sorunların çözümü için iletişim ve bilgi teknolojilerinin kullanımı sağlanmalıdır. Şehirler daha yaşanabilir, kaliteli ve işlevsel alanlara dönüştürülmelidir. Plancılar ve tasarımcılar sorunlar için çözümler bulmaya çalışmalı ve şehirleri daha “akıllı” hale getirmek için harekete geçmelidirler. Akıllı şehirler oluşturmak için alanların daha sürdürülebilir ve yaşanabilir hale getirilmesi gerekmektedir. Akıllı şehirler hareketlilik/ulaşım, temiz enerji, su-gıda üretimi, sağlık, yaşam ve halkın katılımı gibi çözümlere odaklanmaktadır. Bu çalışmanın amacı açık yeşil alanlardaki akıllı şehir uygulamalarını kullanıcının görüşüne göre değerlendirmektir. Bu amaçla, Türkiye'nin tüm il ve bölgelerinden 455 kişi üzerinden anket çalışması yürütülmüştür. Ankete katılan kullanıcılar gönüllü olarak seçilmiştir. Anketten elde edilen sonuçlar SPSS yazılımına aktarılmış ve çeşitli testler kullanılarak analiz edilmiştir. Anket sonucunda; katılımcıların akıllı şehir uygulamaları ile ilgili verdikleri cevapların ortalaması, park bilgi sistemleri hakkında verilen cevapların ortalamasından biraz daha yüksektir. Katılımcıların çoğu bilgi ve teknoloji konusunda taleplerinin olduğunu ve akıllı şehir uygulamalarının şehirlerin algılama düzeyini artıracağını belirtmişlerdir. Çalışmanın son kısmında akıllı şehir uygulamaları için önerilerde bulunulmuştur.

Keywords

Akıllı Kentler, Kentler, Kullanıcı Görüşleri, Anket, Türkiye

Evaluation of The Smart City Applications in Terms of Users: The Case of Turkey

Abstract

Cities transform into dynamic, productive, innovative and attractive areas. Due to this transformation, some problems occur in urban areas such as health, energy, traffic, waste management, air and water pollution, unplanned urbanization. The use of communication and information technologies should be provided for solving these problems. The cities should be more livable, quality and functional areas. Planners and designers should try to find solutions to urban problems, and they should action to make cities the more “smart”. To create smart cities, areas must be transformed into more sustainable and livable. Smart cities focus on solutions such as mobility/transportation, clean energy, water-food production, health, life, and public participation. The aim of the study is to evaluate the smart city applications in open-green areas according to user’s opinion. For this purpose, the questionnaire was made on 455 people who are from all provinces and regions of the Turkey. The users who participated in the questionnaire, were selected on a voluntary. The results that were obtained from the questionnaire, were transferred to SPSS software, and analyses were made using some test in SPSS. The average of the answers that were given by the participants about the smart city applications, is slightly higher than the average of the answers that were given about the park information systems. Most of the participants stated that they have demands about the information and technology, and smart city applications will increase the level of perception the cities. Finally, suggestions for the smart city applications were made.

Keywords

Smart City, City, User’s opinion, Turkey, Questionnaire

References

• Angelidou, M., Psaltoglou, A., Komninos, N., Kakderi, C., Tsarchopoulos, P., Panori, A. (2018). Enhancing sustainable urban development through smart city applications. Journal of Science and Technology Policy Management.
• Ates, M. (2020). The Role of Smart City Solutions on the Road to Smart Territories: Smart Solutions to Urbanization Problems. In Handbook of Research on Smart Territories and Entrepreneurial Ecosystems for Social Innovation and Sustainable Growth (pp. 1-18). IGI Global.
• Bilici, Z., Babahanoğlu, V. (2018). Smart City Implementations and The Case of Konya. Journal of Academic Approaches 9(2), 124-139.
• Cao, Z. (2020). Smart City: Digital Technology Drives Liveability and Prosperity. IEEE Internet of Things Magazine, 3(1), 2-3.
• Chen, K., Long, H., Liao, L., Tu, S., Li, T. (2019). Land use transitions and urban-rural integrated development: Theoretical framework and China’s evidence. Land Use Policy, 92, 104465.
• Chen, H., Shi, Y.Y. (2019). Optimal allocation of land use space in Zhengzhou under the goal of ecological and economic coordination, J. Nat.Resour. Life Sci. Educ. 41 (04), 717–728.
• Caragliu, A., Del Bo, C.F. (2019). Smart innovative cities: The impact of Smart City policies on urban innovation. Technological Forecasting and Social Change, 142, 373-383.
• Çetin, M., Çiftçi, Ç. (2019). Investigation of The Smart City Concept with Examples from The World and Our Country Literature Review. National Journal of Environmental Sciences Research, 2(3), 134-143.
• Groot, J.C., Yalew, S., Rossing, W.A. (2018). Exploring ecosystem services trade-offs in agricultural landscapes with a multi-objective programming approach, Landsc. Urban Plan. 29–36
• Gu, S.Z., Wang, M. (2012). Theoretical considerations and strategic choice on the development of Smart City, China Popul. Resour. Environ. 22 (05), 74–80.
• Liu, Y. S., Wen, K. A. (2019). Implementation of a CMOS/MEMS Accelerometer with ASIC Processes. Micromachines, 10(1), 50.
• Luvisi, A., Lorenzini, G. (2014). RFID-plants in the smart city: Applications and outlook for urban green management. Urban forestry & urban greening, 13(4), 630-637.
• Ou, D.H., Xia, J.G. (2017). Landscape pattern optimization in peri-urban areas based onthe particle swarm optimization method: a case study in Longquanyi Districtof Chengdu, Geogr. Res. 36 (03), 553–572.
• Örselli, E., Akbay, C. (2019). Technology and Transformation in Urban Life: Smart Cities. Journal of International Management Academy, 2(1), 228-241.
• Özdemir, A., Güngör, S. (2019). Ecological Planning Approach for Smart Cities, Architecture, Planning and Design Research Papers, Gece Kitaplığı, ISBN: 978-625-7958-57-8, 2, 25-47.
• Strauch, M., Cord, A.F., Pätzold, C., Lautenbach, S., Kaim, A., Schweitzer, C., Volk, M. (2019). Constraints in multi-objective optimization of land use allocation–Repair or penalize? Environmental Modelling & Software, 118, 241-251.
• Su, L., Fan, J., Fu, L. (2020). Exploration of smart city construction under new urbanization: A case study of Jinzhou-Huludao Coastal Area. Sustainable Computing: Informatics and Systems, 100403.
• Sun, M., Zhang, J. (2020). Research on the application of block chain big data platform in the construction of new smart city for low carbon emission and green environment. Computer Communications, 149, 332-342.
• Taşyürek, M., Çelik, M. (2020). Prediction of vehicle arrival times in the smart bus stop system using ensemble artificial neural networks. European Journal of Science and Technology, (18), 72-79.
• Tomaş, M., Dostoğlu, N. (2020). Smart House with Artificial Intelligence. European Journal of Science and Technology, (18), 486-493.
• TUİK. (2019). Türkiye İstatistik Kurumu, Nufüs Bilgileri, http://tuik.gov.tr. (Erişim tarihi: 15.05.2020).
• Yazıcıoğlu, Y., Erdoğan, S. (2014). SPSS applied scientific research methods. Detay Publishing.
• Yigitcanlar, T., Teriman, S. (2015). Rethinking sustainable urban development: towards an integrated planning and development process. International Journal of Environmental Science and Technology, 12(1), 341-352.
• Zhang, L., Li, B. Z., Guo, K. J., Liu, F., Zong, G., Li, X. Y., Ouyang, Z. Y. (2019). Dynamics and spatial pattern prediction of lakes in the northern Tanggula Mountains, Tibet, China. Ying yong sheng tai xue bao= The journal of applied ecology, 30(8), 2793-2802.