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Yıl 2023, Cilt: 8 Sayı: 3, 235 - 249, 15.12.2023

Gamze Zeynep Topçu , Kader Bayır , Zeynep Ebrar Cavıldak , Murat Başeğmez , Cevdet Coşkun Aydın

https://doi.org/10.29128/geomatik.1171069
Cited By: 1

Öz

Kaynakça

  • Ahmad, R., & Matori, A. N. (2016). Prioritizing the criteria for urban green space using AHP-multiple criteria decision model. In Engineering Challenges for Sustainable Future: Proceedings of the 3rd International Conference on Civil, Offshore and Environmental Engineering (ICCOEE 2016, Malaysia, 15-17 Aug 2016) CRC Press, 355-359
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  • Aydınoğlu, A. Ç., Bovkır, R., & Bulut, M. (2022). Akıllı şehirlerde büyük coğrafi veri yönetimi ve analizi: hava kalitesi örneği. Geomatik, 7(3), 174-186. https://doi.org/10.29128/geomatik.938855
  • Baig, F., Zhang, D., Lee, J., & Xu, H. (2022). Shaping inclusiveness of a transportation system: Factors affecting seat-yielding behavior of university students in public transportation. Transportation Research Part A: Policy and Practice, 155, 79-94. https://doi.org/10.1016/j.tra.2021.11.004
  • Bakioglu, G., & Atahan, A. O. (2021). AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritize risks in self-driving vehicles. Applied Soft Computing, 99, 106948. https://doi.org/10.1016/j.asoc.2020.106948
  • Baskurt, Z. M., & Aydin, C. C. (2018). Nuclear power plant site selection by Weighted Linear Combination in GIS environment, Edirne, Turkey. Progress in Nuclear Energy, 104, 85-101. https://doi.org/10.1016/j.pnucene.2017.09.004.
  • Başeğmez, M., Yıldırım, V., & Bediroğlu, Ş. (2019). CBS ve AHP yöntemiyle en uygun okul yer seçimi analizi: Uşak-Merkez örneği. TMMOB 6. Coğrafi Bilgi Sistemleri Kongresi, October.
  • Beatley, T. (2000). Preserving biodiversity: challenges for planners. Journal of the American Planning Association, 66(1), 5-20.
  • Behzadian, M., Otaghsara, S. K., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with applications, 39(17), 13051-13069.
  • Bennett, G., Cassin, J., & Carroll, N. (2016). Natural infrastructure investment and implications for the nexus: A global overview. Ecosystem Services, 17, 293-297.
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  • Burkhard, B., Petrosillo, I., & Costanza, R. (2010). Ecosystem services–bridging ecology, economy and social sciences. Ecological complexity, 7(3), 257-259
  • Campisi, T., Caselli, B., Rossetti, S., & Torrisi, V. (2022). The evolution of sustainable mobility and urban space planning: exploring the factors contributing to the regeneration of car parking in living spaces. Transportation Research Procedia, 60, 76-83.
  • Caner, H. I., & Aydin, C. C. (2021). Shipyard site selection by raster calculation method and AHP in GIS environment, İskenderun, Turkey. Marine Policy, 127, 104439.
  • Chaudhry, P., Bagra, K., & Singh, B. (2011). Urban greenery status of some Indian cities: A short communication. International Journal of Environmental Science and Development, 2(2), 98-101.
  • Dadvand, P., Nieuwenhuijsen, M. J., Esnaola, M., Forns, J., Basagaña, X., Alvarez-Pedrerol, M., ... & Sunyer, J. (2015). Green spaces and cognitive development in primary schoolchildren. Proceedings of the National Academy of Sciences, 112(26), 7937-7942. http://dx.doi.org/10.1073/pnas.1503402112.
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  • Drobne, S., & Lisec, A. (2009). Multi-attribute decision analysis in GIS: weighted linear combination and ordered weighted averaging. Informatica, 33(4), 459–474
  • Fadhıl, A., & Kurban, T. (2022). Hücresel otomata markov zincir yöntemi ile kentsel yayılmanın modellenmesi: Kerkük ili örneği. Geomatik, 7(1), 58-70. https://doi.org/10.29128/geomatik.852900
  • Fuller, R. A., Irvine, K. N., Devine-Wright, P., Warren, P. H., & Gaston, K. J. (2007). Psychological benefits of greenspace increase with biodiversity. Biology letters, 3(4), 390-394. http://dx.doi.org/10.1098/rsbl.2007.0149.
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  • Gupta, K., Roy, A., Luthra, K., & Maithani, S. (2016). GIS based analysis for assessing the accessibility at hierarchical levels of urban green spaces. Urban forestry & urban greening, 18, 198-211. https://doi.org/10.1016/j.tranpol.
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Yeşil alan uygunluk analizinin CBS tabanlı AHP ve TOPSİS yöntemleriyle değerlendirilmesi

Yıl 2023, Cilt: 8 Sayı: 3, 235 - 249, 15.12.2023

Gamze Zeynep Topçu , Kader Bayır , Zeynep Ebrar Cavıldak , Murat Başeğmez , Cevdet Coşkun Aydın

https://doi.org/10.29128/geomatik.1171069
Cited By: 1

Öz

Şehirler, artan nüfus yoğunluklarıyla sürekli gelişim halindedir. Bu durum kentlerin planlamasını ve sürdürülebilirliklerini sağlamak için plancılara çeşitli sorunlar oluşturmaktadır. Günümüz insanının şehirlerde en çok eksikliğini hissettiği alanlar yeşil alanlardır. İnsanların yaşam kalitesinin arttırılmasında ve ortaya çıkan sorunların giderilmesinde en önemli faktörlerden biri olan yeşil alanların planlanması oldukça önemlidir. Bu çalışmada, Ankara ili Çankaya ilçesine bağlı Emek, Bahçelievler ve Yukarı Bahçelievler mahalleleri çalışma alanı seçilmiş ve yeşil alan analizinin yapılabilmesi için on iki kriter belirlenmiştir. Bu kriterlerin birbirlerine göre ağırlıklarını tespit edilmesi için analitik hiyerarşi süreci (AHP) metodu kullanılmış ve kriterlerin konum analizleri için coğrafi bilgi sistemlerinden (CBS) yararlanılmıştır. En uygun yeşil alanların önem sıralarını belirlemek için ise TOPSIS metodu uygulanmıştır. TOPSIS yönteminde hem eşit ağırlıklı hem de AHP ağırlıklı hesaplar yapılmış ve analizler sonucunda, belirlenen dokuz bölgenin %44,4’ünün sıralamasının benzerlik gösterdiği tespit edilmiştir. Çalışma sonucunda, çalışma alanının yeşil alanlar bakımından yetersiz olduğu belirlenerek, uygulanan yöntemin sürdürebilir kent modelleri için kullanımı değerlendirilmiştir.

Anahtar Kelimeler

Yeşil Alan AHP TOPSIS CBS

Kaynakça

  • Ahmad, R., & Matori, A. N. (2016). Prioritizing the criteria for urban green space using AHP-multiple criteria decision model. In Engineering Challenges for Sustainable Future: Proceedings of the 3rd International Conference on Civil, Offshore and Environmental Engineering (ICCOEE 2016, Malaysia, 15-17 Aug 2016) CRC Press, 355-359
  • Amoly, E., Dadvand, P., Forns, J., López-Vicente, M., Basagana, X., Julvez, J., Alvarez-Pedrerol, M., Nieuwenhuijsen, M. J., & Sunyer, J. (2014). Green and blue spaces and behavioral development in Barcelona schoolchildren: the BREATHE Project. Environ. Health Perspect. 122, 1351–1358, http://dx.doi.org/10.1289/ ehp.1408215.
  • Aydınoğlu, A. Ç., Bovkır, R., & Bulut, M. (2022). Akıllı şehirlerde büyük coğrafi veri yönetimi ve analizi: hava kalitesi örneği. Geomatik, 7(3), 174-186. https://doi.org/10.29128/geomatik.938855
  • Baig, F., Zhang, D., Lee, J., & Xu, H. (2022). Shaping inclusiveness of a transportation system: Factors affecting seat-yielding behavior of university students in public transportation. Transportation Research Part A: Policy and Practice, 155, 79-94. https://doi.org/10.1016/j.tra.2021.11.004
  • Bakioglu, G., & Atahan, A. O. (2021). AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritize risks in self-driving vehicles. Applied Soft Computing, 99, 106948. https://doi.org/10.1016/j.asoc.2020.106948
  • Baskurt, Z. M., & Aydin, C. C. (2018). Nuclear power plant site selection by Weighted Linear Combination in GIS environment, Edirne, Turkey. Progress in Nuclear Energy, 104, 85-101. https://doi.org/10.1016/j.pnucene.2017.09.004.
  • Başeğmez, M., Yıldırım, V., & Bediroğlu, Ş. (2019). CBS ve AHP yöntemiyle en uygun okul yer seçimi analizi: Uşak-Merkez örneği. TMMOB 6. Coğrafi Bilgi Sistemleri Kongresi, October.
  • Beatley, T. (2000). Preserving biodiversity: challenges for planners. Journal of the American Planning Association, 66(1), 5-20.
  • Behzadian, M., Otaghsara, S. K., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with applications, 39(17), 13051-13069.
  • Bennett, G., Cassin, J., & Carroll, N. (2016). Natural infrastructure investment and implications for the nexus: A global overview. Ecosystem Services, 17, 293-297.
  • Bird, A. (2009). Federal legislation aims to get kids off the couch and exploring the outdoors. https://www.mlive.com/outdoors/2009/09/legislation_aims_to_get_kids_o.html.
  • Braun, W. J., & Murdoch, D. J. (2021). A first course in statistical programming with R. Cambridge University Press.
  • Burkhard, B., Petrosillo, I., & Costanza, R. (2010). Ecosystem services–bridging ecology, economy and social sciences. Ecological complexity, 7(3), 257-259
  • Campisi, T., Caselli, B., Rossetti, S., & Torrisi, V. (2022). The evolution of sustainable mobility and urban space planning: exploring the factors contributing to the regeneration of car parking in living spaces. Transportation Research Procedia, 60, 76-83.
  • Caner, H. I., & Aydin, C. C. (2021). Shipyard site selection by raster calculation method and AHP in GIS environment, İskenderun, Turkey. Marine Policy, 127, 104439.
  • Chaudhry, P., Bagra, K., & Singh, B. (2011). Urban greenery status of some Indian cities: A short communication. International Journal of Environmental Science and Development, 2(2), 98-101.
  • Dadvand, P., Nieuwenhuijsen, M. J., Esnaola, M., Forns, J., Basagaña, X., Alvarez-Pedrerol, M., ... & Sunyer, J. (2015). Green spaces and cognitive development in primary schoolchildren. Proceedings of the National Academy of Sciences, 112(26), 7937-7942. http://dx.doi.org/10.1073/pnas.1503402112.
  • De Clercq, E. M., De Wulf, R., & Van Herzele, A. (2007). Relating spatial pattern of forest cover to accessibility. Landscape and Urban Planning, 80(1-2), 14-22.
  • Demuzere, M., Orru, K., Heidrich, O., Olazabal, E., Geneletti, D., Orru, H., ... & Faehnle, M. (2014). Mitigating and adapting to climate change: Multi-functional and multi-scale assessment of green urban infrastructure. Journal of environmental management, 146, 107-115.
  • Drobne, S., & Lisec, A. (2009). Multi-attribute decision analysis in GIS: weighted linear combination and ordered weighted averaging. Informatica, 33(4), 459–474
  • Fadhıl, A., & Kurban, T. (2022). Hücresel otomata markov zincir yöntemi ile kentsel yayılmanın modellenmesi: Kerkük ili örneği. Geomatik, 7(1), 58-70. https://doi.org/10.29128/geomatik.852900
  • Fuller, R. A., Irvine, K. N., Devine-Wright, P., Warren, P. H., & Gaston, K. J. (2007). Psychological benefits of greenspace increase with biodiversity. Biology letters, 3(4), 390-394. http://dx.doi.org/10.1098/rsbl.2007.0149.
  • Galeeva, A., Mingazova, N., & Gilmanshin, I. (2014). Sustainable urban development: urban green spaces and water bodies in the city of Kazan, Russia. Mediterranean Journal of Social Sciences, 5(24), 356-360
  • General plan for Stockholm (1952). Stockholm (Sweden). Stadsplanekontoret. Town Planning Office of the city of Stockholm, pp. 74.
  • Gezer, A., & Gül, A. (2009). Kent ormancılığı-kavramsal-teknik ve kültürel boyutu. SDU Orman Fakültesi, Kitap Yayın No: 86, s 245. (ISBN: 978-9944-452-30-4) SDU Basım evi- Isparta.
  • Grahn, P., & Stigsdotter, U. K. (2010). The relation between perceived sensory dimensions of urban green space and stress restoration. Landscape and urban planning, 94(3-4), 264-275. https://doi.org/10.1016/j.landurbplan.2009.10.012
  • Gupta, K., Roy, A., Luthra, K., & Maithani, S. (2016). GIS based analysis for assessing the accessibility at hierarchical levels of urban green spaces. Urban forestry & urban greening, 18, 198-211. https://doi.org/10.1016/j.tranpol.
  • Haq, S. M. A. (2011). Urban green spaces and an integrative approach to sustainable environment. Journal of environmental protection, 2(5), 601-608.
  • Heidt, V., & Neef, M. (2008). Benefits of urban green space for improving urban climate. Ecology, planning, and management of urban forests: International perspectives, 84-96. https://doi.org/10.1007/978-0-387-71425-7_6
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  • Khalil, R. (2014). Quantitative evaluation of distribution and accessibility of urban green spaces (Case study: City of Jeddah). International journal of geomatics and geosciences, 4(3), 526-535.
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  • Lappé, F. M. (2009). Questions to ask strategies to save our planet. Solutions, 1(1), 34-35.
  • La Rosa, D. (2014). Accessibility to greenspaces: GIS based indicators for sustainable planning in a dense urban context. Ecological Indicators, 42, 122-134.
  • Lee, A. C., & Maheswaran, R. (2011). The health benefits of urban green spaces: a review of the evidence. Journal of public health, 33(2), 212-222. https://doi.org/10.1093/pubmed/fdq068
  • Luthra, K., & Gupta, K. (2012). Evaluation of urban green spaces based on social criteria. ındian ınstitute of remote sensing, dehradun, Unpublished report.
  • Malczewski, J. (1999). GIS and multicriteria decision analysis. John Wiley & Sons, New York.
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  • Massam, B. H. (2013). Spatial search: Applications to planning problems in the public sector, 23, Pergamon Press, Exeter.
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  • Mensah, C. A. (2014). Nature and challenges of urban green spaces in Africa, http://www.jhbcityparks.com/pdfs/urban greens spaces.pdf.
  • Midatana, S., Saran, S., & Ramana, K. V. (2018). Site suitability analysis for industries using GIS and multi criteria decision making. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 4(5).
  • NASA (2022). Advanced spaceborne thermal emission and reflection radiometer (aster) global digital elevation model. https://asterweb.jpl.nasa.gov/gdem.asp. Erişim Tarihi: 28 Haziran 2022.
  • Navarro, J. G. M., Jaramillo, L. A., & Magan, E. L. (2019). Assessing connectivity in single and multimodal networks using Geographic Information Systems (GIS). Transportation Research Procedia, 40, 1473-1480.
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  • Pulighe, G., Fava, F., & Lupia, F. (2016). Insights and opportunities from mapping ecosystem services of urban green spaces and potentials in planning. Ecosystem services, 22, 1-10.
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  • Sánchez-Lozano, J. M., Teruel-Solano, J., Soto-Elvira, P. L., & García-Cascales, M. S. (2013). Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain. Renewable and sustainable energy reviews, 24, 544-556.
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  • URL 1. İmar kanunu. https://www.mevzuat.gov.tr/MevzuatMetin/1.5.3194.pdf. Erişim Tarihi: 28 Haziran 2022.
  • URL 2. Mekansal Planlar Yapım Yönetmeliği. https://www.mevzuat.gov.tr/File/GeneratePdf?mevzuatNo=19788&mevzuatTur=KurumVeKurulusYonetmeligi&mevzuatTertip=5. Erişim Tarihi: 28 Haziran 2022.
  • Van Herzele, A., & Wiedemann, T. (2003). A monitoring tool for the provision of accessible and attractive urban green spaces. Landscape and urban planning, 63(2), 109-126. https://doi.org/10.1016/S0169-2046(02)00192-5
  • Villacreses, G., Gaona, G., Martínez-Gómez, J., & Jijón, D. J. (2017). Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador. Renewable energy, 109, 275-286. https://doi.org/10.1016/j.renene.2017.03.041
  • Yoon, K. P., & Hwang, C. L. (1995). Multiple attribute decision making: an introduction. Sage publications.
  • Zeng, J., Lin, G., & Huang, G. (2021). Evaluation of the cost-effectiveness of Green Infrastructure in climate change scenarios using TOPSIS. Urban Forestry & Urban Greening, 64, 127287. https://doi.org/10.1016/j.ufug.2021.127287
  • Zhang, Z., Meerow, S., Newell, J. P., & Lindquist, M. (2019). Enhancing landscape connectivity through multifunctional green infrastructure corridor modeling and design. Urban forestry & urban greening, 38, 305-317.
Toplam 80 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Araştırma Makalesi
Yazarlar

Gamze Zeynep Topçu 0000-0002-7265-6864

Kader Bayır 0000-0003-4941-7336

Zeynep Ebrar Cavıldak 0000-0003-3838-7442

Murat Başeğmez 0000-0002-7704-9510

Cevdet Coşkun Aydın 0000-0003-2064-6936

Erken Görünüm Tarihi 27 Haziran 2023
Yayımlanma Tarihi 15 Aralık 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 8 Sayı: 3

Kaynak Göster

APA Topçu, G. Z., Bayır, K., Cavıldak, Z. E., Başeğmez, M., vd. (2023). Yeşil alan uygunluk analizinin CBS tabanlı AHP ve TOPSİS yöntemleriyle değerlendirilmesi. Geomatik, 8(3), 235-249. https://doi.org/10.29128/geomatik.1171069
AMA Topçu GZ, Bayır K, Cavıldak ZE, Başeğmez M, Aydın CC. Yeşil alan uygunluk analizinin CBS tabanlı AHP ve TOPSİS yöntemleriyle değerlendirilmesi. Geomatik. Aralık 2023;8(3):235-249. doi:10.29128/geomatik.1171069
Chicago Topçu, Gamze Zeynep, Kader Bayır, Zeynep Ebrar Cavıldak, Murat Başeğmez, ve Cevdet Coşkun Aydın. “Yeşil Alan Uygunluk Analizinin CBS Tabanlı AHP Ve TOPSİS yöntemleriyle değerlendirilmesi”. Geomatik 8, sy. 3 (Aralık 2023): 235-49. https://doi.org/10.29128/geomatik.1171069.
EndNote Topçu GZ, Bayır K, Cavıldak ZE, Başeğmez M, Aydın CC (01 Aralık 2023) Yeşil alan uygunluk analizinin CBS tabanlı AHP ve TOPSİS yöntemleriyle değerlendirilmesi. Geomatik 8 3 235–249.
IEEE G. Z. Topçu, K. Bayır, Z. E. Cavıldak, M. Başeğmez, ve C. C. Aydın, “Yeşil alan uygunluk analizinin CBS tabanlı AHP ve TOPSİS yöntemleriyle değerlendirilmesi”, Geomatik, c. 8, sy. 3, ss. 235–249, 2023, doi: 10.29128/geomatik.1171069.
ISNAD Topçu, Gamze Zeynep vd. “Yeşil Alan Uygunluk Analizinin CBS Tabanlı AHP Ve TOPSİS yöntemleriyle değerlendirilmesi”. Geomatik 8/3 (Aralık 2023), 235-249. https://doi.org/10.29128/geomatik.1171069.
JAMA Topçu GZ, Bayır K, Cavıldak ZE, Başeğmez M, Aydın CC. Yeşil alan uygunluk analizinin CBS tabanlı AHP ve TOPSİS yöntemleriyle değerlendirilmesi. Geomatik. 2023;8:235–249.
MLA Topçu, Gamze Zeynep vd. “Yeşil Alan Uygunluk Analizinin CBS Tabanlı AHP Ve TOPSİS yöntemleriyle değerlendirilmesi”. Geomatik, c. 8, sy. 3, 2023, ss. 235-49, doi:10.29128/geomatik.1171069.
Vancouver Topçu GZ, Bayır K, Cavıldak ZE, Başeğmez M, Aydın CC. Yeşil alan uygunluk analizinin CBS tabanlı AHP ve TOPSİS yöntemleriyle değerlendirilmesi. Geomatik. 2023;8(3):235-49.

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