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Using K-means Cluster Analysis for Assessment of Environmental Services of Municipalities

Year 2020, , 209 - 230, 01.04.2020
https://doi.org/10.17153/oguiibf.545524

Abstract

Municipalities are one of the local government types established by law, established to meet the local needs of the people. The purpose of municipalities; to deliver the services of the municipality to the entire municipal population. In this study, although many duties and responsibilities of municipalities in 81 provinces in Turkey is evaluated in terms of municipal environmental services. In this study, statistics on municipal services published between 2001-2016 by Turkish Statistical Institute (TUIK) were used. In this context, six criteria are discussed. One of the Multi Criteria Decision Methods, AHP was used to determine the weight of the criteria. The weighted weights are multiplied by the values of the relevant years and a weighted value is obtained. The weighted value of the relevant year was clustered with one-dimensional clustering analysis. The changes in municipal performances of provinces were analyzed.

References

  • Bholowalia, Purnima; Kumar, Arvind (2014) “EBK-means: A Clustering Technique Based on Elbow Method and K-Means in WSN”, International Journal of Computer Applications, 105(9), 17-24.
  • Bostancı, Bülent (2016), “Belediye Hizmet Kalitesinin Bulanık AHS Ağırlıkları ile Nominal Değerlemesi”, Electronic Journal of Map Technologies, 8(2), 110-130.
  • Cieszynska, Monika; Wesolowski, Marek; Bartoszewicz, Maria; Michalska, Malgorzata; Nowacki, Jacek (2012), “Application of Physicochemical Data for Water-Quality Assessment of Watercourses in the Gdansk Mu-nicipality (South Baltic coast)”, Environmental Monitoring and Assessment, 184(4), 2017-2029.
  • GÜNER, Samet (2017), “Toplu Ulaşım Sistemlerinde Operasyonel Etkinlik ve Hizmet Kalitesi Analizi”, Journal of Transportation and Logistics, 2(2), 33-48.
  • Güven, Ahmet; Şimşek, Gül (2018), “Yerel Yönetimlerin Sosyo Ekonomik Gelişimi ve Tanıtımı Açısından Film Platolarının Önemi: Midwood Örneği”, Journal of Turkish Court of Accounts/Sayistay Dergisi, (108).
  • Hamurcu, Mustafa; Eren, Tamer (2015), “Ankara Büyükşehir Belediyesi’nde Çok Ölçütlü Karar Verme Yöntemi ile Monoray Güzergâh Seçimi”, Transist, 8, 410-419.
  • Huang, Xiaohui; Ye, Yunming; Guo, Huifeng; Cai, Yi; Zhang, Haijun; Li, Yan (2014), “DSK-means: a New Kme-ans-Type Approach to Discriminative Subspace Clustering”, Knowledge-Based Systems, 70, 293-300.
  • Kodinarıya, Trupti M.; Makwana, Prashant R (2013), “Review on determining number of Cluster in K-Means Clustering”, International Journal, 1(6), 90-95.
  • Mustafa, Mustafa A.; Al-Bahar, Jamal F. (1991), “Project Risk Assessment Using the Analytic Hierarchy Pro-cess”, IEEE Transactions on Engineering Management, 38(1), 46-52.
  • Nydıck, Robert L.; Hill, Ronald P. (1992), “Using the Analytic Hierarchy Process to Structure the Supplier Selection Procedure”, International Journal of Purchasing and Materials Management, 28(2), 31-36.
  • Olson, David L.; Delen, Dursun (2008), Advanced Data Mining Techniques. Springer Science & Business Media.
  • Ramanathan, R. (2001), “A Note on the Use of The Analytic Hierarchy Process for Environmental Impact Assessment”, Journal of Environmental Management, 63(1), 27-35.
  • Ray, Siddheswar; Turi, Rose H. (1999, December), “Determination of Number of Clusters in K-Means Cluste-ring and Application in Colour Image Segmentation”. In Proceedings of The 4th International Conference on Advances in Pattern Recognition and Digital Techniques, 137-143.
  • Saaty, Thomas L. (2008), “Decision Making with the Analytic Hierarchy Process”. International Journal of Services Sciences, 1(1), 83-98.
  • Syakur, M. A.; Khotimah, B. K.; Rochman, E. M. S.; Satoto, B. D. (2018, April), “Integration K-Means Clustering Method and Elbow Method for Identification of the Best Customer Profile Cluster”, In IOP Conference Series: Materials Science and Engineering, IOP Publishing, 336(1), 1-6.
  • Tucker, Conrad S.; Kim, Harrison. M.; Barker, Douglas E.; Zhang, Yuanhui (2010), “A ReliefF Attribute Weigh-ting and X-means Clustering Methodology for Top-Down Product Family Optimization”, Engineering Op-timization, 42(7), 593-616.
  • Türkiye İstatistik Kurumu (TÜİK), https://biruni.tuik.gov.tr/medas/?locale=tr (Erişim Tarihi: 03.01.2019 ).
  • Vaidya, Omkarprasad S.; Kumar, Sushil (2006), “Analytic Hierarchy Process: An Overview of Applications”, European Journal of Operational Research, 169(1), 1-29.
  • Witten, Ian H.; Frank, Eibe; Hall, Mark A. (2016), Data Mining: Practical Machine Learning Tools and Tech-niques, Morgan Kaufmann.
  • Zengin, Eyüp (2009), “Yerel Yönetimler ve Çevre”, Journal of Qafqaz University, 26, 116-123.
  • Zha, Hongyuan; He, Xiaofeng; Ding, Chris; Gu, Ming; Simon, Horst (2002), “Spectral Relaxation for K-Means Clustering”, In Advances in Neural Information Processing Systems, 1057-1064.
  • Zülfikar, Haluk; Beken, Nalan (2014), “Belediyeler ve Çevre Hizmetleri Üzerine Analitik Bir Bakış: Türkiye Örneği”. Sosyal Siyaset Konferansları Dergisi, (66-67), 75-100.

K-ortalamalar Kümeleme Analizi İle Belediyelerin Çevre Hizmetlerinin Değerlendirilmesi

Year 2020, , 209 - 230, 01.04.2020
https://doi.org/10.17153/oguiibf.545524

Abstract

Halkın yerel ihtiyaçlarını karşılamak üzere kurulan, kuruluş esasları kanunla belirlenen yerel yönetim türle-rinden biri de belediyelerdir. Belediyelerin amacı, beledi-ye sorumluluk ve görevleri kapsamındaki hizmetlerini belediye nüfusunun tamamına ulaştırmaktır. Belediyele-rin birçok görev ve sorumluluğu bulunmakla birlikte bu çalışmada, Türkiye’deki 81 il belediyesi, çevre hizmetleri açısından değerlendirilmiştir. Bu çalışmada, Türkiye İstatistik Kurumu (TÜİK) tarafından 2001-2016 yılları arasında yayımlanan belediye hizmetleri ile ilgili istatis-tikler kullanılmıştır. Bu çerçevede, altı adet kriter ele alınmıştır. Kriterlerin ağırlıklarını belirlemek için Çok Kriterli Karar Verme Yöntemlerinden AHP kullanılmıştır. Belirlenen ağırlıklar, ilgili yılların değerleri ile çarpılarak ağırlıklandırılmış bir değer elde edilmiştir. İlgili yılın ağırlıklandırılmış değeri, tek boyutlu kümeleme analizi ile kümelendirilmiştir. İllerin yıllar bazında belediye performanslarının değişimi analiz edilmiştir.

References

  • Bholowalia, Purnima; Kumar, Arvind (2014) “EBK-means: A Clustering Technique Based on Elbow Method and K-Means in WSN”, International Journal of Computer Applications, 105(9), 17-24.
  • Bostancı, Bülent (2016), “Belediye Hizmet Kalitesinin Bulanık AHS Ağırlıkları ile Nominal Değerlemesi”, Electronic Journal of Map Technologies, 8(2), 110-130.
  • Cieszynska, Monika; Wesolowski, Marek; Bartoszewicz, Maria; Michalska, Malgorzata; Nowacki, Jacek (2012), “Application of Physicochemical Data for Water-Quality Assessment of Watercourses in the Gdansk Mu-nicipality (South Baltic coast)”, Environmental Monitoring and Assessment, 184(4), 2017-2029.
  • GÜNER, Samet (2017), “Toplu Ulaşım Sistemlerinde Operasyonel Etkinlik ve Hizmet Kalitesi Analizi”, Journal of Transportation and Logistics, 2(2), 33-48.
  • Güven, Ahmet; Şimşek, Gül (2018), “Yerel Yönetimlerin Sosyo Ekonomik Gelişimi ve Tanıtımı Açısından Film Platolarının Önemi: Midwood Örneği”, Journal of Turkish Court of Accounts/Sayistay Dergisi, (108).
  • Hamurcu, Mustafa; Eren, Tamer (2015), “Ankara Büyükşehir Belediyesi’nde Çok Ölçütlü Karar Verme Yöntemi ile Monoray Güzergâh Seçimi”, Transist, 8, 410-419.
  • Huang, Xiaohui; Ye, Yunming; Guo, Huifeng; Cai, Yi; Zhang, Haijun; Li, Yan (2014), “DSK-means: a New Kme-ans-Type Approach to Discriminative Subspace Clustering”, Knowledge-Based Systems, 70, 293-300.
  • Kodinarıya, Trupti M.; Makwana, Prashant R (2013), “Review on determining number of Cluster in K-Means Clustering”, International Journal, 1(6), 90-95.
  • Mustafa, Mustafa A.; Al-Bahar, Jamal F. (1991), “Project Risk Assessment Using the Analytic Hierarchy Pro-cess”, IEEE Transactions on Engineering Management, 38(1), 46-52.
  • Nydıck, Robert L.; Hill, Ronald P. (1992), “Using the Analytic Hierarchy Process to Structure the Supplier Selection Procedure”, International Journal of Purchasing and Materials Management, 28(2), 31-36.
  • Olson, David L.; Delen, Dursun (2008), Advanced Data Mining Techniques. Springer Science & Business Media.
  • Ramanathan, R. (2001), “A Note on the Use of The Analytic Hierarchy Process for Environmental Impact Assessment”, Journal of Environmental Management, 63(1), 27-35.
  • Ray, Siddheswar; Turi, Rose H. (1999, December), “Determination of Number of Clusters in K-Means Cluste-ring and Application in Colour Image Segmentation”. In Proceedings of The 4th International Conference on Advances in Pattern Recognition and Digital Techniques, 137-143.
  • Saaty, Thomas L. (2008), “Decision Making with the Analytic Hierarchy Process”. International Journal of Services Sciences, 1(1), 83-98.
  • Syakur, M. A.; Khotimah, B. K.; Rochman, E. M. S.; Satoto, B. D. (2018, April), “Integration K-Means Clustering Method and Elbow Method for Identification of the Best Customer Profile Cluster”, In IOP Conference Series: Materials Science and Engineering, IOP Publishing, 336(1), 1-6.
  • Tucker, Conrad S.; Kim, Harrison. M.; Barker, Douglas E.; Zhang, Yuanhui (2010), “A ReliefF Attribute Weigh-ting and X-means Clustering Methodology for Top-Down Product Family Optimization”, Engineering Op-timization, 42(7), 593-616.
  • Türkiye İstatistik Kurumu (TÜİK), https://biruni.tuik.gov.tr/medas/?locale=tr (Erişim Tarihi: 03.01.2019 ).
  • Vaidya, Omkarprasad S.; Kumar, Sushil (2006), “Analytic Hierarchy Process: An Overview of Applications”, European Journal of Operational Research, 169(1), 1-29.
  • Witten, Ian H.; Frank, Eibe; Hall, Mark A. (2016), Data Mining: Practical Machine Learning Tools and Tech-niques, Morgan Kaufmann.
  • Zengin, Eyüp (2009), “Yerel Yönetimler ve Çevre”, Journal of Qafqaz University, 26, 116-123.
  • Zha, Hongyuan; He, Xiaofeng; Ding, Chris; Gu, Ming; Simon, Horst (2002), “Spectral Relaxation for K-Means Clustering”, In Advances in Neural Information Processing Systems, 1057-1064.
  • Zülfikar, Haluk; Beken, Nalan (2014), “Belediyeler ve Çevre Hizmetleri Üzerine Analitik Bir Bakış: Türkiye Örneği”. Sosyal Siyaset Konferansları Dergisi, (66-67), 75-100.
There are 22 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Günay Kılıç 0000-0003-2236-7535

İbrahim Budak 0000-0001-7762-6114

Arzu Organ 0000-0002-2400-4343

Publication Date April 1, 2020
Submission Date March 27, 2019
Published in Issue Year 2020

Cite

APA Kılıç, G., Budak, İ., & Organ, A. (2020). K-ortalamalar Kümeleme Analizi İle Belediyelerin Çevre Hizmetlerinin Değerlendirilmesi. Eskişehir Osmangazi Üniversitesi İktisadi Ve İdari Bilimler Dergisi, 15(1), 209-230. https://doi.org/10.17153/oguiibf.545524