Multi-criteria Evaluation in Public Economics and Policy

Author(s):  
Giuseppe Munda
Author(s):  
Patricia Apps ◽  
Ray Rees
Keyword(s):  

2019 ◽  
Vol 3 ◽  
pp. 1071
Author(s):  
Fauzan Muzakki ◽  
Boedi Tjahjono ◽  
Dwi Putro Tedjo Baskoro

Mulai tahun 2015 hingga 2019 di Kabupaten Bandung Barat akan dibangun sebuah jalur kereta cepat Jakarta-Bandung. Padahal daerah tersebut cenderung bergunung dan berbukit sehingga berpeluang untuk longsor. Penelitian ini bertujuan untuk melakukan pemetaan bahaya longsor skala 1:25.000 berbasis peta sub-faset lahan (satuan lahan) skala 1:25.000 sebagai satuan pemetaan di CK 88-CK 114 (KM 88-KM 114). Metode penelitian ini mencakup intepretasi visual citra penginderaan jauh untuk pemetaan faset lahan, dan penggunaan lahan dan perhitungan MCE (Multi Criteria Evaluation) untuk penilaian bahaya longsor. Skor dan bobot dari setiap parameter longsor diperoleh dari pendapat para pakar bencana melalui analisis AHP (Analytical Hierarchy Process). Berdasarkan hasil analisis AHP dan MCE, parameter utama terjadinya longsor di lokasi penelitian adalah faktor geologi. Hasil penelitian juga menunjukkan bahwa lokasi penelitian didominasi oleh kelas bahaya longsor sedang seluas 42% dari total luas lokasi penelitian, sedangkan kelas bahaya longsor rendah dan tinggi secara berturut-turut seluas 28% dan 30%. Jika dilakukan perbandingan antara jumlah titik longsor terhadap luasan kelas bahaya longsor diperoleh nilai kerapatan kelas bahaya longsor tinggi hingga rendah secara berturut-turut terdapat pada kelas bahaya tinggi, sedang, dan rendah. Oleh karena itu, prediksi zona bahaya longsor yang dilakukan dalam penelitian ini dapat dikategorikan baik.


2011 ◽  
Author(s):  
Edgar O. Olsen
Keyword(s):  

2020 ◽  
Vol 3 (2) ◽  
pp. 49-59 ◽  
Author(s):  
Yogesh Badhe ◽  
Ravindra Medhe ◽  
Tushar Shelar

The site suitability for construction of water conservation structures is an important step towards groundwater conservation in arid and semi-arid regions. Water is the most crucial for maintaining an environment and ecosystem which is helpful to sustaining all forms of the life. The increasing water scarcity day to day has been one of the common problems over a period of time. On top of it, when the area is a part of rain shadow zone like Ahmednagar district, water conservation activities are become more important. The present study aims to identify the suitable zones for water conservation activity. Multi- criteria evaluation is carried out using Geographic Information System (GIS) techniques to help the choice makers in defining suitable site for construction of water conservation structures. Different layers which were considered for multi-criteria evaluation: slope, land use land cover, soil texture, lithology, soil depth, soil erosion, wells, lineaments and drainage network. Analytical Hierarchy Processes (AHP) is used for weighted sum to find suitable sites for implementation of water conservation activity using selected criterions. The site suitability map was classified into four classes: highly suitable, moderately suitable, less suitable and not suitable with area of 19.19%, 26%, 49.03% and 5.78, respectively. This map will help for selection of suitable sites for construction of Mati Nala Bund (MNB), Check Dam, Cement Nala Bund (CNB) and Continuous Contour Trenches (CCT) for conservation of groundwater resource in the region.


2020 ◽  
Vol 153 ◽  
pp. 01004
Author(s):  
Muhammad Fadhil ◽  
Yoanna Ristya ◽  
Nahra Oktaviani ◽  
Eko Kusratmoko

This study focuses on the assessment of flood-vulnerable areas in the Minraleng watershed, Maros Regency, where the area experiences floods every year. Spatial analysis in the Geographic Information System (GIS) environment has been applied to estimate flood-vulnerable zones using six relevant physical factors, such as rainfall intensity, slope, Elevation, distance from the rivers, land use and soil type. The relative importance of physical factors has been compared in paired matrices to obtain weight values using the Spatial Multi-Criteria Evaluation (SMCE) method. The result showed that the areas located in Camba sub-district had the high vulnerability. The region with a high and very high vulnerability to flood were spread with an area of 436 ha (0,84 %) and 6.168 ha (11.8%).


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