Land Use Suitability Analysis Using Multi Criteria Decision Analysis Method for Coastal Management and Planning: A Case Study of Malaysia

2012 ◽  
Vol 5 (5) ◽  
pp. 364-372 ◽  
Author(s):  
M. Bagheri ◽  
W.N.A. Sulaiman ◽  
N. Vaghefi
2021 ◽  
Vol 1 (2) ◽  
pp. 63-73
Author(s):  
I Wayan Gede Krisna Arimjaya ◽  
Adi Wibowo

Berdasarkan Katalog Unsur Geografis Indonesia (KUGI), Peta Topografi Indonesia (RBI) memiliki 6 kategori unsur dengan 152 unsur klasifikasi tutupan lahan. Oleh karena itu, untuk keperluan analisis kesesuaian penggunaan lahan, klasifikasi tutupan lahan RBI perlu disederhanakan. Penelitian ini bertujuan untuk menyederhanakan klasifikasi kategori unsur tutupan lahan RBI dan menganalisis kesesuaian kawasan pemukiman berdasarkan variabel tutupan lahan dan penggunaan lahan. Studi kasus klasifikasi tutupan lahan dan kesesuaian penggunaan lahan untuk pemukiman telah dilakukan di Provinsi Kalimantan Tengah. Hasilnya, klasifikasi tutupan lahan Provinsi Kalimantan Tengah dikelompokkan menjadi 15 kategori. Sebagian besar tutupan lahan di Kalimantan Tengah adalah hutan dengan luas mencapai 65%. Sementara itu, kesesuaian kawasan permukiman berdasarkan variabel tutupan lahan dan penggunaan lahan menyebar mengikuti sebaran spasial semak belukar dan lahan gundul seluas 16% Kalimantan Tengah. Based on th Indonesian Geographical Feature Catalogue (KUGI), the Indonesian Topographic Map (RBI) has 6 feature categories with 152 land cover classification features. Therefore, for land-use suitability analysis purposes, the RBI land cover classification needs to be simplified. This study aims to simplify the classification of RBI's land cover element categories and analyze the suitability of residential areas based on land cover and land-use variables. A case study of land cover classification and land-use suitability for settlements was conducted for the Central Kalimantan province. As a result, the land cover classifications of Central Kalimantan Province are grouped into 15 categories. Most of the land cover in Central Kalimantan is the forest with covering 65% of the area. Meanwhile, the suitability of residential areas based on land cover and land use variables spread following the spatial distribution of shrubland and bare land covering 16% of Central Kalimantan.


2021 ◽  
Vol 7 (10) ◽  
pp. 97813-97830
Author(s):  
Felipe Barbosa Dos Santos ◽  
Marcos Dos Santos ◽  
Paulo César Pellanda

The multi-criteria decision analysis (MCDA) methods seek to support the decision-maker in choosing the most preferable alternative among the various possible ones, considering the criteria that characterize this preference. However, this task can become very complex, depending on the method used. This is because the algorithms of the methods are not always of a simple application. In this way, it is indispensable to develop computational tools that apply the algorithms of MCDA methods, making it feasible to use them. In this context, the computational tool presented in this article was developed. It uses the PrOPPAGA method in the selection problem of the Brazilian Navy's Hospital Assistance Ship Class of (HAS) to cope with the COVID-19 pandemic. The main contribution of this article is to present a tutorial for using this tool, to make its use feasible by society.


2019 ◽  
Vol 4 (3) ◽  
pp. 247 ◽  
Author(s):  
J Yisa ◽  
Oluwaseun Olubadewo-Joshua ◽  
Oboh Satur Okosun

The study demonstrated that spatial analysis with relevant socio-economic sources and physical parameter from different sources can be evaluated for the filling station sites planning. This has demonstrated the importance of Geographic Information System (GIS) application in predicting and determining of site criteria for filling stations facilities development, most especially in areas where there is land uses competition which requires consumer accessibility, sustainability, environmental safety, environmentally sensitive development solutions, etc. A stratified sampling technique was used to select the sample size and administration of the questionnaire. The data collected was analyzed using descriptive statistics such as frequency distribution, bar chart, pie chart and percentage and maps showing the sampled existing filling stations in the study area. The result shows the distribution of filling stations located across the study area. This study shows that GIS and multi-criteria analysis are essential tools to assist in correct siting to national planners and decision-makers in deciding the most appropriate filling stations location pattern to apply in Minna and its environs. Keywords: GIS, filling stations, spatial distribution, location, distance. References Aklilu, A., & Necha, T. (2018). Analysis of the spatial accessibility of addis Ababa’s light rail transit: The case of East–West corridor. Urban Rail Transit, 4(1), 35-48. doi:10.1007/s40864-018-0076-6 Dhiman, R., Kalbar, P., & Inamdar, A. B. (2019). Spatial planning of coastal urban areas in india: Current practice versus quantitative approach. Ocean and Coastal Management, 182 doi:10.1016/j.ocecoaman.2019.104929 Tah, D.S (2017). GIS-based locational analysis of Petrol filling stations in Kaduna metropolis: Science World Journal, Vol 12(2): 8-12.  Emakoji, M.A., and Otah K.N (2018). Managing Filling Stations Spatial Database  using an innovative GIS tool- a case study of Afipko City in Nigeria: Asian Journal of Geographical Research, 1(2):1-9, 2018 Jahangiri, M., Ghaderi, R., Haghani, A., & Nematollahi, O. (2016). Finding the best locations for establishment of solar-wind power stations in middle-east using GIS: A review. Renewable and Sustainable Energy Reviews, 66, 38-52. doi:10.1016/j.rser.2016.07.069 Jelokhani-Niaraki, M., Hajiloo, F., & Samany, N. N. (2019). A web-based public participation GIS for assessing the age-friendliness of cities: A case study in tehran, iran. Cities, 95 doi:10.1016/j.cities.2019.102471 Loidl, M., Witzmann-Müller, U., & Zagel, B. (2019). A spatial framework for planning station-based bike sharing systems. European Transport Research Review, 11(1) doi:10.1186/s12544-019-0347-7 Ma, Y., & Gopal, S. (2018). Geographicallyweighted regression models in estimating median home prices in towns of massachusetts based on an urban sustainability framework. Sustainability (Switzerland), 10(4) doi:10.3390/su10041026 Maanan, M., Maanan, M., Rueff, H., Adouk, N., Zourarah, B., & Rhinane, H. (2018). Assess the human and environmental vulnerability for coastal hazard by using a multi-criteria decision analysis. Human and Ecological Risk Assessment, 24(6), 1642-1658. doi:10.1080/10807039.2017.1421452 Khahro, S. H., Matori, A. N., Chandio, I. A., & Talpur, M. A. H. (2014). Land Suitability Analysis for Installing New Petrol Filling Stations Using GIS. Procedia Engineering, 77, 28–36. doi:10.1016/j.proeng.2014.07.024 Mustapha, O.O (2016). Assessment of filling stations in Illorin, Kwara State, Nigeria using Geospatial technologies, IJSRCSEIT vol 1(2) 69-73, 2016 Naboureh, A., Feizizadeh, B., Naboureh, A., Bian, J., Blaschke, T., Ghorbanzadeh, O., & Moharrami, M. (2019). Traffic accident spatial simulation modeling for planning of road emergency services. ISPRS International Journal of Geo-Information, 8(9) doi:10.3390/ijgi8090371 Peprah (2018). Suitability analysis of siting oil and gas filling station using multi-criteria decision analysis and GIS approach- a case study of Tarkwa and environs- Ghana: Journal of Geomatics, vol 12(2): 158-166, 2018 Sacramento Gutierres, F., Torrente, A. O., & Torrent-Moreno, M. (2019). Responsive geographical information systems for spatio-temporal analysis of mobile networks in barcelona. Architecture, City and Environment, 14(40), 163-192. doi:10.5821/ace.14.40.5349 Vaz, E., Lee, K., Moonilal, V., & Pereira, K. (2018). Potential of geographic information systems for refugee crisis: Syrian refugee relocation in urban habitats. Habitat International, 72, 39-47. doi:10.1016/j.habitatint.2017.02.001   Copyright (c) 2019 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License


1992 ◽  
Vol 20 (2-3) ◽  
pp. 73-84 ◽  
Author(s):  
S K Pathan ◽  
P Jothimani ◽  
Gopal K Choudhary ◽  
N N Som ◽  
Kalyan Mukherjee

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