Analysis of Spatial Planning in Landslide Hazard Zones in Banyumas Regency, Indonesia
DOI:
https://doi.org/10.23917/forgeo.6685Keywords:
Landslide, Spatial Planning, Physical Approach, Landslide Hazard Assessment, BanyumasAbstract
Banyumas Regency is an area that with a high potential for landslide hazards. These pose a serious threat to spatial planning. This research aims to analyse land use in landslide-prone areas; to compare spatial planning strategies in the region; and to offer recommendations for effective spatial planning to reduce landslide risks. The application of a physical approach, incorporating ten parameters to assess landslide hazard levels, can be considered to be optimal. The research findings have significant implications for spatial planning and disaster risk management in Banyumas Regency. The analysis results indicate that certain community activity areas, such as residential, tourism and industrial zones, are located in areas with low to moderate landslide hazards. This demonstrates that the regency prioritises disaster risk considerations in land utilisation planning. The research has several limitations, including the lack of data validation and historical landslide data in Banyumas Regency concerning landslide hazard assessment. In addition, the study only focuses on landslide hazard areas in the central community activity zone, but does not include residential areas in other designated zones.
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Ahmad, H., Alam, M., Yinghua, Z., Najeh, T., Gamil, Y., & Hameed, S. (2024). Landslide risk assessment integrating susceptibility, hazard, and vulnerability analysis in Northern Pakistan. Discover Applied Sciences, 6(1). doi: 10.1007/s42452-024-05646-2 [Google Scholar] [CrossRef]
Ahmad, M. N., Shao, Z., Aslam, R. W., Ahmad, I., Liao, M., Li, X., & Song, Y. (2022). Landslide hazard, susceptibility and risk assessment (HSRA) based on remote sensing and GIS data models: a case study of Muzaffarabad Pa-kistan. Stochastic Environmental Research and Risk Assessment, 36(12), 4041–4056. doi: 10.1007/s00477-022-02245-8 [Google Scholar] [CrossRef]
Akbar, T. A., Ullah, S., Ullah, W., Ullah, R., Sajjad, R. U., Mohamed, A., Khalil, A., Javed, M. F., & Din, A. (2022). Development and Application of Models for Landslide Hazards in Northern Pakistan. Sustainability (Switzer-land), 14(16), 1–17. doi: 10.3390/su141610194 [Google Scholar] [CrossRef]
Asmare, D. (2022). Landslide hazard zonation and evaluation around Debre Markos town, NW Ethiopia—a GIS-based bivariate statistical approach. Scientific African, 15, e01129. doi: 10.1016/j.sciaf.2022.e01129 [Google Scholar] [CrossRef]
Badan Informasi Geospasial (BIG). (2012). Ina-Geoportal. Badan Informasi Geospasial (BIG). Retrieved From https://tanahair.indonesia.go.id/
Badan Informasi Geospasial (BIG). (2018). DEMNAS. Badan Informasi Geospasial. Retrieved From https://tanahair.indonesia.go.id/demnas/#/
BNPB. (2024). Data Informasi Bencana Indonesia (DIBI). Badan Nasional Penanggulangan Bencana (BNPB). Re-trieved From https://dibi.bnpb.go.id/home/index2
BPS Kabupaten Banyumas. (2024). Kabupaten Banyumas Dalam Angka 2024. In E. Budhia (Ed.), BPS Kabupaten Banyumas (Vol. 49). BPS Kabupaten Banyumas. Retrieved From https://banyumaskab.bps.go.id/publication/2024/02/28/ 9e0122445a31b8ef3d94aa07/kabupaten-banyumas-dalam-angka-2024.html
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), e18159. doi: 10.1016/j.heliyon. 2023.e18159 [Google Scholar] [CrossRef]
Chen, D., Duan, Y., Jiang, P., & Li, M. (2024). Spatial zoning to enhance ecosystem service co-benefits for sustainable land-use management in the Yangtze River economic Belt, China. Ecological Indicators, 159(2). doi: 10.1016/j.ecolind.2024.111753 [Google Scholar] [CrossRef]
Choi, S. K., Ramirez, R. A., Lim, H. H., & Kwon, T. H. (2024). Multi-source remote sensing-based landslide investiga-tion: the case of the August 7, 2020, Gokseong landslide in South Korea. In Scientific Reports, 14(1). doi: 10.1038/s41598-024-59008-4 [Google Scholar] [CrossRef]
CHRS. (2023). CHRS Data Portal (Rainfall Data 2013-2023). Center for Hydrometeorology and Remote Sensing. Re-trieved From https://chrsdata.eng.uci.edu/
Cilliers, D. P. (2019). Considering flood risk in spatial development planning: A land use conflict analysis approach. Jamba: Journal of Disaster Risk Studies, 11(1), 1–9. doi: 10.4102/JAMBA.V11I1.537 [Google Scholar] [CrossRef]
Climate Hazards Center. (2024). Climate Hazards Center InfraRed Precipitation with Station data (CHIRPS). UC Santa Barbara. Retrieved From https://www.chc.ucsb.edu/data
Cui, Y., Yang, W., Xu, C., & Wu, S. (2023). Distribution of ancient landslides and landslide hazard assessment in the Western Himalayan Syntaxis area. Frontiers in Earth Science, 11(3), 1–15. doi: 10.3389/feart.2023.1135018 [Google Scholar] [CrossRef]
Depicker, A., Jacobs, L., Delvaux, D., Havenith, H. B., Maki Mateso, J. C., Govers, G., & Dewitte, O. (2020). The add-ed value of a regional landslide susceptibility assessment: The western branch of the East African Rift. Geo-morphology, 353, 106886. doi: 10.1016/j.geomorph.2019.106886 [Google Scholar] [CrossRef]
Dewa, H. P. N., Nirwansyah, A. W., Dewi, R. S., & Demirdag, I. (2023). Vulnerability Analysis of School Buildings to Tsunami in the Cilacap Coastal Area. Forum Geografi, 37(2), 117–133. doi: 10.23917/forgeo.v37i2.23269 [Google Scholar] [CrossRef]
Di Napoli, M., Miele, P., Guerriero, L., Annibali Corona, M., Calcaterra, D., Ramondini, M., Sellers, C., & Di Martire, D. (2023). Multitemporal relative landslide exposure and risk analysis for the sustainable development of rapidly growing cities. Landslides, 20(9), 1781–1795. doi: 10.1007/s10346-023-02065-z [Google Scholar] [CrossRef]
El Bchari, F., Theilen-Willige, B., & Ait Malek, H. (2019). Landslide hazard zonation assessment using GIS analysis at the coastal area of Safi (Morocco). Proceedings of the ICA, 2(7), 1–7. doi: 10.51 94/ica-proc-2-24-2019 [Google Scholar]
El Khattabi, M., El Khattabi, J., Azdimousa, A., Plotto, P., & El Khadir, G. (2023). Assessment of Landslide Risks Through a Multi-Disciplinary Approach: A Case Study of Al Hoceima, Northern Morocco. Journal of Disaster Research, 18(4), 424–435. doi: 10.20965/jdr.2023.p0424 [Google Scholar] [CrossRef]
ESDM. (2023). GEOMAP. Kementerian ESDM (Energi Dan Sumber Daya Mineral). Retrieved From https://geologi.esdm.go.id/geomap
Esmaiel, A., Abdrabo, K. I., Saber, M., Sliuzas, R. V, Atun, F., Kantoush, S. A., & Sumi, T. (2022). Progress in Disaster Science Integration of flood risk assessment and spatial planning for disaster management in Egypt. Progress in Disaster Science, 15(7), 100245. doi: 10.1016/j.pdisas.2022.100245 [Google Scholar] [CrossRef]
Falasca, F., Sette, C., & Montaldi, C. (2024). Addressing land use planning: A methodology for assessing pre- and post-landslide event urban configurations. Science of the Total Environment, 921(2), 171152. doi: 10.1016/j.scitotenv.2024.171152 [Google Scholar] [CrossRef]
FAO (Food Agriculture Organization). (2007). Digital Soil Map of the World. FAO. Retrieved From https://data.apps.fao.org/ map/catalog/srv/eng/catalog.search#/metadata/446ed430-8383-11db-b9b2-000d939bc5d8
Frodella, W., Rosi, A., Spizzichino, D., Nocentini, M., Lombardi, L., Ciampalini, A., Vannocci, P., Ramboason, N., Margottini, C., Tofani, V., & Casagli, N. (2022). Integrated approach for landslide hazard assessment in the High City of Antananarivo, Madagascar (UNESCO tentative site). Landslides, 19(11), 2685–2709. doi: 10.1007/s10346-022-01933-4 [Google Scholar] [CrossRef]
Galasso, C., McCloskey, J., Pelling, M., Hope, M., Bean, C. J., Cremen, G., Guragain, R., Hancilar, U., Menoscal, J., Mwang’a, K., Phillips, J., Rush, D., & Sinclair, H. (2021). Editorial. Risk-based, Pro-poor Urban Design and Planning for Tomorrow’s Cities. International Journal of Disaster Risk Reduction, 58, 102158. doi: 10.1016/j.ijdrr.2021.102158 [Google Scholar] [CrossRef]
Global Facility for Disaster Reduction and Recovery. (2016). The making of a riskier future: How our decisions are shaping future disaster risk (M. Fernández (ed.)). GFDRR.
Gomes, E., Costa, E. M. da, & Abrantes, P. (2024). Spatial Planning and Land-Use Management. Land, 13(1), 1–6. doi: 10.3390/ land13010094 [Google Scholar]
Hadmoko, D. S., Lavigne, F., Sartohadi, J., Gomez, C., & Daryono, D. (2017). Spatio-Temporal Distribution of Land-slides in Java and the Triggering Factors. Forum Geografi, 31(1), 1–15. doi: 10.23917/ forgeo.v31i1.3790 [Google Scholar]
Hartoyo, A. P. P., Sunkar, ArzyHartoyo, A. P. P., Sunkar, A., Ramadani, R., Faluthi, S., & Hidayati, S. (2021). Normal-ized difference vegetation index (NDVI) analysis for vegetation cover in leuser ecosystem area, sumatra, indo-nesia. Biodiversitas, 22(3), 1160–1171. doi: 10.13057/biodiv/d220311ana, [Google Scholar] [CrossRef]
Kementerian Agraria/Badan Pertanahan Nasional (ATR/BPN). (2024). GISTARU ATR/BPN. Direktorat Jenderal Tata Ruang Kementerian Agraria Dan Tata Ruang/Badan Pertanahan Nasional. Retrieved From https://gistaru.atrbpn.go.id/rtronline/
Kementerian ESDM (Energi dan Sumber Daya Mineral). (1996). Peta Geologi Lembar Purwokerto dan Tegal, Jawa. Puslitbang Geologi.
KLHK. (2020). Peta Penggunaan Lahan 2020. ArcGIS REST Services Directory. Retrieved From https://dbgis.menlhk.go.id/server/rest/services/Time_Series/PL2020/MapServer
Leonardi, G., Palamara, R., Manti, F., & Tufano, A. (2022). GIS-Multicriteria Analysis Using AHP to Evaluate the Landslide Risk in Road Lifelines. Applied Sciences (Switzerland), 12(9), 1–19. doi: 10.3390/ app12094707 [Google Scholar]
Liu, Y., & Zhou, Y. (2021). Territory spatial planning and national governance system in China. Land Use Policy, 102(5), 1–9. doi: 10.1016/j.landusepol.2021.105288 [Google Scholar] [CrossRef]
Masoudi, M., Centeri, C., Jakab, G., Nel, L., & Mojtahedi, M. (2021). GIS-Based Multi-Criteria and Multi-Objective Evaluation for Sustainable Land-Use Planning (Case Study: Qaleh Ganj County, Iran) “Landuse Planning Using MCE and Mola". In International Journal of Environmental Research, 15(3), 457–474. doi: 10.1007/s41742-021-00326-0 [Google Scholar] [CrossRef]
Mengistu, M., & Senamaw, A. (2020). Remote Sensing and GIS Based Potential Landslide Hazard Zonation in Ambo Woreda: Central Ethiopia. Journal of Environment and Earth Science, 10(2), 19–27. doi: 10.7176/jees/10-2-03 [Google Scholar] [CrossRef]
Mersal, A. (2016). Sustainable Urban Futures: Environmental Planning for Sustainable Urban Development. Procedia Environmental Sciences, 34, 49–61. doi: 10.1016/j.proenv.2016.04.005 [Google Scholar] [CrossRef]
Mouratidis, K. (2021). Urban planning and quality of life: A review of pathways linking the built environment to subjec-tive well-being. Cities, 115, 103229. doi: 10.1016/j.cities.2021.103229 [Google Scholar] [CrossRef]
Neswati, R., Syafiuddin, M., Jumardianto, & Chairuddin, Z. (2020). Analysis of conformity between existing land use with regional spatial planning: A case study of Sidenreng Rappang Regency, South Sulawesi. IOP Conference Series: Earth and Environmental Science, 486(1). doi: 10.1088/1755-1315/486/1/012072 [Google Scholar] [CrossRef]
Nyeko, M. (2012). GIS and Multi-Criteria Decision Analysis for Land Use Resource Planning. Journal of Geographic Information System, 04(04), 341–348. doi: 10.4236/jgis.2012.44039 [Google Scholar] [CrossRef]
Phiri, Y. V., Aydin, K., Adell Mkandawire, A., & Reza Parham, H. (2019). Urban Planning and Urban Disaster Resili-ence: Effects of Poor Urban Planning and Development in the Cities of Malawi. In International Congress on Urban Studies, 4(1), 137–168. [Google Scholar]
Ramadani, R., Faluthi, S., & Hidayati, S. (2021). Normalized difference vegetation index (NDVI) analysis for vegeta-tion cover in leuser ecosystem area, sumatra, indonesia. Biodiversitas, 22(3), 1160–1171. doi: 10.13057/biodiv/d220311 [Google Scholar] [CrossRef]
Schmid, F. B., Kienast, F., & Hersperger, A. M. (2021). The compliance of land-use planning with strategic spatial plan-ning–insights from Zurich, Switzerland. European Planning Studies, 29(7), 1231–1250. doi: 10.1080/09654313.2020.1840522 [Google Scholar] [CrossRef]
Shano, L., Raghuvanshi, T. K., & Meten, M. (2022). Landslide Hazard Zonation using Logistic Regression Model: The Case of Shafe and Baso Catchments, Gamo Highland, Southern Ethiopia. Geotechnical and Geological Engi-neering, 40(1), 83–101. doi: 10.1007/s10706-021-01873-1 [Google Scholar] [CrossRef]
Sidiq, A. (2021). Critical approaches to gis and spatial mapping in indonesia forest management and conservation. Forest and Society, 5(2), 190–195. doi: 10.24259/fs.v5i2.10921 [Google Scholar] [CrossRef]
Sinčić, M., Bernat Gazibara, S., Krkač, M., Lukačić, H., & Mihalić Arbanas, S. (2022). The Use of High-Resolution Re-mote Sensing Data in Preparation of Input Data for Large-Scale Landslide Hazard Assessments. Land, 11(8). doi: 10.3390/land11081360 [Google Scholar] [CrossRef]
Singh, K., & Kumar, V. (2018). Hazard assessment of landslide disaster using information value method and analytical hierarchy process in highly tectonic Chamba region in bosom of Himalaya. Journal of Mountain Science, 15(4), 808–824. doi: 10.1007/s11629-017-4634-2 [Google Scholar] [CrossRef]
Sisman, S., & Aydinoglu, A. C. (2020). Using GIS-based Multi-Criteria Decision Analysis Techniques in the Smart Cit-ies. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Ar-chives, 44(4/W3), 383–389. doi: 10.5194/isprs-archives-XLIV-4-W3-2020-383-2020 [Google Scholar] [CrossRef]
Sudaryatno, S., Widayani, P., Wibowo, T. W., Wiratmoko, B., & Nurbandi, W. (2019). Evidence Based Landslide Haz-ard Mapping in Purworejo using Information Value Model Approach. Forum Geografi, 33(1), 25–38. doi: 10.23917/forgeo.v33i1.7592 [Google Scholar] [CrossRef]
Suwarno, & Sutomo. (2016). Metode Mitigasi Longsorlahan di Kecamatan Gumelar Kabupaten Banyumas Provinsi Ja-wa Tengah. Forum Geografi, 21(1), 93–104. doi: 10.23917/forgeo.v21i1.1816 [Google Scholar] [CrossRef]
Suwarno, Sutomo, & Setiawan, E. (2017). Pemetaan Bahaya Erosi Di Sub-Daerah Aliran Sungai Logawa Kabupaten Banyumas Dengan Sistem Informasi Geografis. Prosiding Seminar Nasional Penerapan Ilmu Pengetahuan Dan Teknologi, 159–164.
Suwarsito, & Suwarno. (2018). The Preserve of Local Wisdom to Mitigate the Landslide Disaster in Gununglurah Vil-lage, Cilongok, Banyumas, Central Java. American Scientific Publishers, 24(1), 147–149. doi: 10.1166/asl.2018.11942 [Google Scholar] [CrossRef]
Thiery, Y., Kaonga, H., Mtumbuka, H., Terrier, M., & Rohmer, J. (2024). Landslide hazard assessment and mapping at national scale for Malawi. Journal of African Earth Sciences, 212, 105187. doi: 10.1016/j.jafrearsci.2024.105187 [Google Scholar] [CrossRef]
UNDRR. (2009). Sendai Framework Terminology on Disaster Risk Reduction UNDRR. Retrieved From https://www.undrr.org/drr-glossary/terminology
UNISDR. (2009). UNISDR Terminology on Disaster Risk Reduction. In United Nations International Strategy for Disas-ter Reduction (UNISDR). United Nations International Strategy for Disaster Reduction (UNISDR). Retrieved From https://doi.org/10.4324/9781351138444-36 [Google Scholar] [CrossRef]
United States Geological Survey (USGS). (2024). USGS Earth Explorer. United States Geological Survey (USGS). Re-trieved From https://earthexplorer.usgs.gov/
Wang, K., Xu, H., & Zhou, Y. (2024). Theoretical approach and practice of “National Spatial Planning Theory”: how Chinese cities and towns precisely adapt to nature and culture. Frontiers of Urban and Rural Planning, 2(1). doi: 10.1007/s44243-023-00025-8 [Google Scholar] [CrossRef]
Wang, Z., Wang, D., Guo, Q., & Wang, D. (2020). Regional landslide hazard assessment through integrating susceptibil-ity index and rainfall process. Natural Hazards, 104(3), 2153–2173. doi: 10.1007/ s11069-020-04265-5 [Google Scholar]
Wubalem, A. (2021). Landslide susceptibility mapping using statistical methods in Uatzau catchment area, northwestern Ethiopia. Geoenvironmental Disasters, 8(1), 1–21. doi: 10.1186/s40677-020-00170-y [Google Scholar] [CrossRef]
Xie, W., Nie, W., Saffari, P., Robledo, L. F., Descote, P. Y., & Jian, W. (2021). Landslide hazard assessment based on Bayesian optimization–support vector machine in Nanping City, China. Natural Hazards, 109(1), 931–948. doi: 10.1007/s11069-021-04862-y [Google Scholar] [CrossRef]
Zerkal, O. V., & Barykina, O. S. (2023). Suffosion Landslides as a Specific Type of Slope Deformations in the European Part of Russia. Springer Nature Link, 1(2), 99–108. doi: 10.1007/978-3-031-18471-0_8 [Google Scholar] [CrossRef]
Zhang, Y. (2024). Enhancing landslide hazards survey and management to reduce the loss of human lives and properties. China Geology, 7(2), 169–170. doi: 10.31035/cg2024080 [Google Scholar] [CrossRef]
Zhang, Y., Deng, L., Han, Y., Sun, Y., Zang, Y., & Zhou, M. (2023). Landslide Hazard Assessment in Highway Areas of Guangxi Using Remote Sensing Data and a Pre-Trained XGBoost Model. Remote Sensing, 15(13), 1–18. doi: 10.3390/rs15133350 [Google Scholar] [CrossRef]
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