Spatial Multi Criteria Analysis for Evaluation of Residential Land in South Jambi, Jambi City
DOI:
https://doi.org/10.30631/bumi.v2i01.2387Keywords:
Land, distance, settlementAbstract
The land is a landscape on the earth's surface, dynamic to changes, such as converting to settlements. Settlement is driven by changes in population, the greater the population, the greater the need for land to be converted into housing. Based on data from 2018 to 2022, there has been an increasing population in the South Jambi sub-district, which is a strong indication of residential development. This research aims to evaluate the suitability of settlements in the South Jambi sub-district in 2022, using five variables namely, distance from the road, distance from the river, slope, soil type, and flood hazard index. The method of analysis uses the Spatial Multi-Criteria Analysis (SMCA) method. The research results show that the South Jambi sub-district is dominated by the suitable criteria of 568.0 hectares or 86.4%, very suitable criteria obtain 5.8 hectares or 0.9%, and somewhat suitable areas of 80.8 hectares or 12.3%. This means that the South Jambi area has a relatively high level of suitability for settlement. It is hoped that these results can provide information for various stakeholders in determining areas that are suitable for residential development, especially those that are at risk of flooding.
References
Badan Pusat Statistik. (2018). Jambi Kota Dalam Angka 2018. BPS.
Badan Pusat Statistik. (2022). Kota Jambi Dalam Angka 2023. BPS.
Bagheri, B., & Soltani, A. (2023). The spatio-temporal dynamics of urban growth and population in metropolitan regions of Iran. Habitat International, 136. https://doi.org/10.1016/j.habitatint.2023.102797
Buitrago-Mora, D., & Garcia-López, M. í€. (2023). Real estate prices and land use regulations: Evidence from the Law of Heights in Bogotá. Regional Science and Urban Economics, 101. https://doi.org/10.1016/j.regsciurbeco.2023.103914
Cerbelaud, A., Blanchet, G., Roupioz, L., Breil, P., & Briottet, X. (2023). Mapping Pluvial Flood-Induced Damages with Multi-Sensor Optical Remote Sensing: A Transferable Approach. Remote Sensing, 15(9). https://doi.org/10.3390/rs15092361
Chelariu, O. E., Minea, I., & Iațu, C. (2023). Geo-hazards assessment and land suitability estimation for spatial planning using multi-criteria analysis. Heliyon, 9(7). https://doi.org/10.1016/j.heliyon.2023.e18159
Dinas, N. S., Daya, S., Provinsi, A., Jakarta, D., Aldiansyah, S., Rah, Y., Ristiantri, A., & Geospasial, B. I. (n.d.). IDENTIFIKASI PENGEMBANGAN KAWASAN PERMUKIMAN DENGAN METODE SPATIAL MULTI CRITERIA ANALYSIS (Studi Kasus: Re-Evaluasi RTRW Provinsi Kalimantan Tengah) Geospatial Information for Spatial Modelling and Sustainable Development View project Tugas Kuliah Membuat Peta Kerentanan View project. https://www.researchgate.net/publication/358494799
Guan, Y., Li, X., Yang, J., Li, S., & Tian, S. (2022). Spatial differentiation of comprehensive suitability of urban human settlements based on GIS: a case study of Liaoning Province, China. Environment, Development and Sustainability, 24(3), 4150–4174. https://doi.org/10.1007/s10668-021-01610-x
Gutierrez Garzon, A. R., Lee, T., Merry, K., Bektas, V., Cruise-Palmer, J., & Bettinger, P. (2022). Urban land use cover changes in three developed cities of the United States: San Diego, Denver, and Buffalo. Heliyon, 8(3). https://doi.org/10.1016/j.heliyon.2022.e09093
He, T., Wang, N., Tong, Y., Wu, F., Xu, X., Liu, L., Chen, J., Lu, Y., Sun, Z., Han, D., & Qiao, Z. (2023). Anthropogenic activities change population heat exposure much more than natural factors and land use change: An analysis of 2020−2100 under SSP-RCP scenarios in Chinese cities. Sustainable Cities and Society, 96. https://doi.org/10.1016/j.scs.2023.104699
Islam, Md. M., Ujiie, K., Noguchi, R., & Ahamed, T. (2022). Flash flood-induced vulnerability and need assessment of wetlands using remote sensing, GIS, and econometric models. Remote Sensing Applications: Society and Environment, 25, 100692. https://doi.org/https://doi.org/10.1016/j.rsase.2021.100692
Kosamia, N., Sanchez, A., & Rakshit, S. (2023). Multi-criteria decision analysis of succinic acid production using hesitant fuzzy analytical hierarchy process. Industrial Crops and Products, 206. https://doi.org/10.1016/j.indcrop.2023.117620
Kristini, W., Widiatmaka, & Mulya, S. P. (2022). Disaster mitigation-based land suitability for settlements using Multi-Criteria Evaluation (MCE) method in the Northern Part of South Barito Regency. IOP Conference Series: Earth and Environmental Science, 950(1), 1–19. https://doi.org/10.1088/1755-1315/950/1/012015
Li, Q., Xia, J., Zhou, M., Deng, S., & Dong, B. (2024). Risk assessment of metro tunnel evacuation in devastating urban flooding events. Tunnelling and Underground Space Technology, 144, 105540. https://doi.org/https://doi.org/10.1016/j.tust.2023.105540
Madurika, H., & Hemakumara, G. (2017). Gis Based Analysis For Suitability Location Finding In The Residential Development Areas Of Greater Matara Region. INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH, 6, 2. www.ijstr.org
Paul, G. C., Saha, S., & Hembram, T. K. (2019). Application of the GIS-Based Probabilistic Models for Mapping the Flood Susceptibility in Bansloi Sub-basin of Ganga-Bhagirathi River and Their Comparison. Remote Sensing in Earth Systems Sciences, 2(2–3), 120–146. https://doi.org/10.1007/s41976-019-00018-6
Rana, S. M. S., Habib, S. M. A., Sharifee, M. N. H., Sultana, N., & Rahman, S. H. (2023). Flood risk mapping of the flood-prone Rangpur division of Bangladesh using remote sensing and multi-criteria analysis. Natural Hazards Research. https://doi.org/10.1016/j.nhres.2023.09.012
Thomas, A. V, Saha, S., Danumah, J. H., Raveendran, S., Prasad, M. K., Ajin, R. S., & Kuriakose, S. L. (2021). Landslide Susceptibility Zonation of Idukki District Using GIS in the Aftermath of 2018 Kerala Floods and Landslides: a Comparison of AHP and Frequency Ratio Methods. Journal of Geovisualization and Spatial Analysis, 5(2), 21–38. https://doi.org/10.1007/s41651-021-00090-x
United Nations. (2022). World Population Prospects - Population Division - United Nations. World Population Prospects Population Division.
USDA. (1999). Soil Taxonomy. United States Departement of Agriculture Natural Resources Consevation Service.
Wang, C., Liu, S., Zhou, S., Zhou, J., Jiang, S., Zhang, Y., Feng, T., Zhang, H., Zhao, Y., Lai, Z., Cui, S., & Mao, X. (2023). Spatial-temporal patterns of urban expansion by land use/ land cover transfer in China. Ecological Indicators, 155. https://doi.org/10.1016/j.ecolind.2023.111009
Woyessa, Y. E., & Welderufael, W. A. (2021). Impact of land-use change on catchment water balance: a case study in the central region of South Africa. Geoscience Letters, 8(1), 34. https://doi.org/10.1186/s40562-021-00204-9
Yufeng, W. (2022). Analysis on the evolution of spatial relationship between population and economy in the Beijing-Tianjin-Hebei and Shandong region of China. Sustainable Cities and Society, 83. https://doi.org/10.1016/j.scs.2022.103948
Zabihi, O., Siamaki, M., Gheibi, M., Akrami, M., & Hajiaghaei-Keshteli, M. (2023). A smart sustainable system for flood damage management with the application of artificial intelligence and multi-criteria decision-making computations. International Journal of Disaster Risk Reduction, 84. https://doi.org/10.1016/j.ijdrr.2022.103470
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