Research article

The multi-criteria analysis for sustainable urban growth by using Fuzzy Method: case study Trikomo, Cyprus

  • Received: 20 August 2021 Accepted: 25 October 2021 Published: 24 November 2021
  • The Urban growth in Trikomo (Yeni İskele) region in Cyprus has dramatically increased recently. The unorganized and uncontrolled development process has started to consume land resources; loss of landcover, valuable agricultural lands, and change of wetlands of stream beds or ponds occurred. In addition, partial and fragmented housing development projects bring only housing and second housing to the coastal region. As a result, environmental and economic problems occurred in sustainable urban growth (SUG) in the Trikomo (Yeni İskele) region. Due to the lack of planning instruments in Trikomo, urban expansion policies and alternatives have been ignored. In this regard, this research tries to investigate spatial SUG and expansion alternatives by using Multi-Criteria Evaluation (MCE) and fuzzy logic within geographical information systems (GIS). Compact growth, environmental protection, and equal accessibility to local services were used for multi-criteria analysis to construct spatial SUG problems. Then they were converted to spatial layers within the (GIS) environment. Results show that; 6 percent of the study area is in a shallow suitability zone. Forty-four percent of it has very low and low suitability for SUG. Also, 41 percent of the area is suitable. Only 12 percent of the area has high and very high suitability values. These findings showed that approximately 118 square kilometers (56 percent) of the city is within the same level appropriate for urban development.

    Citation: Can Kara, Nuhcan Akçit. The multi-criteria analysis for sustainable urban growth by using Fuzzy Method: case study Trikomo, Cyprus[J]. AIMS Geosciences, 2021, 7(4): 623-636. doi: 10.3934/geosci.2021038

    Related Papers:

  • The Urban growth in Trikomo (Yeni İskele) region in Cyprus has dramatically increased recently. The unorganized and uncontrolled development process has started to consume land resources; loss of landcover, valuable agricultural lands, and change of wetlands of stream beds or ponds occurred. In addition, partial and fragmented housing development projects bring only housing and second housing to the coastal region. As a result, environmental and economic problems occurred in sustainable urban growth (SUG) in the Trikomo (Yeni İskele) region. Due to the lack of planning instruments in Trikomo, urban expansion policies and alternatives have been ignored. In this regard, this research tries to investigate spatial SUG and expansion alternatives by using Multi-Criteria Evaluation (MCE) and fuzzy logic within geographical information systems (GIS). Compact growth, environmental protection, and equal accessibility to local services were used for multi-criteria analysis to construct spatial SUG problems. Then they were converted to spatial layers within the (GIS) environment. Results show that; 6 percent of the study area is in a shallow suitability zone. Forty-four percent of it has very low and low suitability for SUG. Also, 41 percent of the area is suitable. Only 12 percent of the area has high and very high suitability values. These findings showed that approximately 118 square kilometers (56 percent) of the city is within the same level appropriate for urban development.



    加载中


    [1] United Nations (2018) World Urbanization Prospects 2018: Highlights. Available from: https://population.un.org/wup/Publications/Files/WUP2018-Highlights.pdf.
    [2] The World Bank Group. Available from: https://www.worldbank.org/en/understanding-poverty.
    [3] United Nations (2015) Urbanization and Climate Change in Small Island Developing States. Available from: https://sustainabledevelopment.un.org/content/documents/2169(UN-Habitat, %202015)%20SIDS_Urbanization.pdf.
    [4] Hassan A, Almatar MG, Torab M, et al. (2020) Environmental Urban Plan for Failaka Island, Kuwait: A Study in Urban Geomorphology. Sustainability 12: 7125. doi: 10.3390/su12177125
    [5] Ferretti V, Pomarico S (2013) Ecological land suitability analysis through spatial indicators: An application of the Analytic Network Process technique and Ordered Weighted Average approach. Ecol Indic 34: 507-519. doi: 10.1016/j.ecolind.2013.06.005
    [6] Bathrellos GD, Skilodimou HD, Chousianitis K, et al. (2017) Suitability estimation for urban development using multi-hazard assessment map. Sci Total Environ 575: 119-134. doi: 10.1016/j.scitotenv.2016.10.025
    [7] Pourebrahim S, Hadipour M, Mokhtar MB (2011) Integration of spatial suitability analysis for land use planning in coastal areas; case of Kuala Langat District, Selangor, Malaysia. Landscape Urban Plann 101: 84-97. doi: 10.1016/j.landurbplan.2011.01.007
    [8] Arefieva N, Terleeva V, Badenko V (2015) GIS-based Fuzzy Method for Urban Planning. Procedia Eng 117: 39-44. doi: 10.1016/j.proeng.2015.08.121
    [9] Zhou M (2015) An interval fuzzy chance-constrained programming model for sustainable urban land-use planning and land use policy analysis. Land Use Policy 42: 479-491. doi: 10.1016/j.landusepol.2014.09.002
    [10] Caprioli C, Marta Bottero M (2021) Addressing complex challenges in transformations and planning: A fuzzy spatial multi-criteria analysis for identifying suitable locations for urban infrastructures. Land Use Policy 102: 105147. doi: 10.1016/j.landusepol.2020.105147
    [11] State Planning Organization (2011) Available from: https://www.devplan.org/belediyeler/Yerel-Yonetimler-2017-2019.pdf.
    [12] Sözen A, Özersay K (2007) The Annan Plan: State succession or continuity. Middle East Stud 43: 125-141. doi: 10.1080/00263200601079773
    [13] Hoşkara E, Hoşkara Ş (2007) Annan Planı Sonrasında Kuzey Kıbrıs'ta İnşaat Sektörüne, Mimarlık ve Planlamaya Eleştirel Bir Bakış, Türkiye Mimarlar Odası Yayını.
    [14] Söyler E (2019) Annan Planı Çerçevesinde Kuzey Kıbrıs Türk Cumhuriyeti'nde Reel GSYİH ile İnşaat Sektörü ve Konut Sahipliği Sektörü Arasındaki İlişki. İktisadi ve İdari Bilimler Fakültesi Dergisi 38: 29-64.
    [15] Holden E (2004) Ecological Footprints and Sustainable Urban Form. J Hous Built Environ 19: 91-109. doi: 10.1023/B:JOHO.0000017708.98013.cb
    [16] European Commission (2000) Guiding Principles for Sustainable Spatial Development of the European Continent. Available from: http://www.bka.gv.at/DocView.axd?CobId=4747.
    [17] Yazar HK (2006) Sürdürülebilir Kentsel Gelişme Çerçevesinde Orta Ölçekli Kentlere Dönük Kent Planlama Yöntem Önerisi, Ankara Üniversitesi Sosyal Bilimler Enstitüsü.
    [18] European Commission (1999) European Spatial Development Perspective. Available from: https://ec.europa.eu/regional_policy/sources/docoffic/official/reports/pdf/sum_en.pdf.
    [19] American Planning Association (2012) APA Policy Guide on Smart Growth. Available from: https://www.planning.org/policy/guides/adopted/smartgrowth.htm.
    [20] United Nations. Goal 11: Sustainable Development Goals, Sustainable Cities and Communities. Available from: https://www.un.org/sustainabledevelopment/cities/.
    [21] Kara C (2013) Simulating sustainable urban growth by using GIS and MCE based CA. The case of Famagusta, North Cyprus. Doctoral dissertation, Eastern Mediterranean University.
    [22] Dinç U, Derici RM, Şenol S, et al. (2000) Kuzey Kıbrıs Türk Cumhuriyeti Detaylı Toprak Etüd ve Haritalama Projesi KKTC Tarım ve Orman Bakanlığı Ç.Ü. Ziraat Fakültesi Toprak Bölümü Bilimsel Projesi. Lefkoşa.
    [23] Kurtener D, Badenko V (2000) A GIS methodological framework based on fuzzy sets theory for land use management. J Braz Comp Soc 6.
    [24] Qiu F, Chastain B, Zhou Y, et al. (2014) Modeling land suitability/capability using fuzzy evaluation. GeoJournal 79: 167-182. doi: 10.1007/s10708-013-9503-0
    [25] Malczewski J (2002) Fuzzy screening for land suitability analysis. Geogra Environ Modell 6: 27-39. doi: 10.1080/13615930220127279
    [26] Zoghi M, Houshang Ehsani A, Sadat M, et al. (2017) Optimization solar site selection by fuzzy logic model and weighted linear combination method in an arid and semi-arid region: A case study Isfahan-IRAN. Renewable Sustainable Energy Rev 68: 986-996. doi: 10.1016/j.rser.2015.07.014
    [27] Stoms D, McDonald J, Davis F (2002) Fuzzy Assessment of Land Suitability for Scientific Research Reserves. Environ Manage 29: 545-558. doi: 10.1007/s00267-001-0004-4
    [28] Zarin R, Azmat M, Naqvi SR, et al. (2021) Landfill site selection by integrating fuzzy logic, AHP, and WLC method based on multi-criteria decision analysis. Environ Sci Pollut Res 28: 19726-19741. doi: 10.1007/s11356-020-11975-7
    [29] Malczewski J (2004) GIS-Based Land Use Suitability Analysis: A Critical Overview. Prog Plann 62: 3-65. doi: 10.1016/j.progress.2003.09.002
    [30] Eastman J (2001) Guide to GIS and Image Processing, Massachusetts, USA: Clark University.
    [31] Akıntuğ B, Kara C (2019) Gazimağusa, İskele ve Yenboğaziçi İmar Planı İskele Taşkın Değerlendirmesi Raporu. Kıbrıs Türk Mühendis Mimar Odaları Birliği.
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1900) PDF downloads(118) Cited by(1)

Article outline

Figures and Tables

Figures(10)  /  Tables(3)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog