Study of Toll Road Procurement using Remote Sensing based on SNI No.13/P/BM/2021
DOI:
https://doi.org/10.31315/imagi.v5i2.15554Keywords:
Geographic Information System, Remote Sensing, Route PlanAbstract
Road route planning requires a comprehensive study that considers various parameters. This can lead to time and cost inefficiencies. This study uses Geographic Information System (GIS) and remote sensing to analyze the procurement of a toll road from Jombang Regency to Malang City (Indonesia) based on SNI No. 13/P/BM/2021. The data used in this study are Sentinel-2 satellite imagery for land cover mapping, a Digital Elevation Model (DEM) for slope classification, and the Indonesian Topographic Map (RBI) as the mapping basemap. The land cover mapping was performed using NDVI, NDBI, and NDWI algorithms using bands 2, 3, 4, 8, and 11 from Sentinel-2 2A imagery validated by ground truth data. The alternative routes were generated, each based on a different overlay configuration regarding slope and landcover aspects. The weight configuration was determined using the Analytical Hierarchy Process (AHP). The results of the process indicate that the most effective overlay configuration is 0.75 for land cover and 0.25 for slope. Based on the overlay results, route 3 emerged as the most optimal route with a total length of 47.75 km. On route 3, only one station (STA) is located on a slope with a gradient of more than 50%, which mostly crosses open land and vegetation areas, with only three STAs located within the built-up areas. This route does not require bridges, thus offering the potential for reducing land acquisition costs.
References
Ambros, J., & Valentová, V. (2016). Teetrassi plaanielementide ebakõlade määramine – Pilootuuring Tšehhi Vabariigist. Baltic Journal of Road and Bridge Engineering, 11(1), 62–69. https://doi.org/10.3846/bjrbe.2016.07
Bartin, B., Demiroluk, S., Ozbay, K., & Jami, M. (2022). Automatic Identification of Roadway Horizontal Alignment Information Using Geographic Information System Data: CurvS Tool. Transportation Research Record, 2676(1), 532–543. https://doi.org/10.1177/03611981211036364
Basharat, M., Shah, H. R., & Hameed, N. (2016). Landslide susceptibility mapping using GIS and weighted overlay method: a case study from NW Himalayas, Pakistan. Arabian Journal of Geosciences, 9(4). https://doi.org/10.1007/s12517-016-2308-y
Fallati, L., Savini, A., Sterlacchini, S., & Galli, P. (2017). Land use and land cover (LULC) of the Republic of the Maldives: first national map and LULC change analysis using remote-sensing data. Environmental Monitoring and Assessment, 189(8). https://doi.org/10.1007/s10661-017-6120-2
Gao, Y., Liu, L., Zhang, X., Chen, X., Mi, J., & Xie, S. (2020). Consistency analysis and accuracy assessment of three global 30‐m land‐cover products over the european union using the lucas dataset. Remote Sensing, 12(21), 1–23. https://doi.org/10.3390/rs12213479
Gebrehiwot, A., & Hashemi-Beni, L. (2020). Automated Indunation Mapping: Comparison of Methods. International Geoscience and Remote Sensing Symposium (IGARSS), 3265–3268. https://doi.org/10.1109/IGARSS39084.2020.9323702
Kshetri, T. B. (2018). Volume II Geomatics for Sustainable Development NDVI, NDBI AND NDWI CALCULATION USING LANDSAT 7 AND 8. GeoWorld, Volume II(September 2018). https://www.researchgate.net/publication/327971920
Marga, D. J. B. (2015). Pdgj 2021. Etika Jurnalisme Pada Koran Kuning : Sebuah Studi Mengenai Koran Lampu Hijau, 16(2), 39–55.
Maria, T., Amelia, M., & Vembrie, S. (2020). Evaluation of Toll Road Pavement Performance Based on the 2013 Bina Marga Method (Case Study: Serpong-Pondok Aren Toll Road). IOP Conference Series: Earth and Environmental Science, 498(1). https://doi.org/10.1088/1755-1315/498/1/012024
Niswah Selmi Kaffa, Muchammad Masykur, & Yoga Kencana Nugraha. (2023). Perbandingan Nilai Kedalaman Relatif Sungai Brantas Kabupaten Jombang dengan Perhitungan Algoritma Van Hengel and Spitzer Citra Sentinel-2 dan Digital Elevation Model (DEM). Jurnal Teknik: Media Pengembangan Ilmu Dan Aplikasi Teknik, 21(2), 172–180. https://doi.org/10.55893/jt.vol21no2.475
Pembangunan, B. P., Provinsi, D., & Barat, J. (2018). Perubahan Rencana Strategis (RENSTRA).
Raji, S. A., Zava, A., Jirgba, K., & Osunkunle, A. B. (2017). Geometric Design of a Highway Using Autocad Civil 3d. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 4(6), 2458–9403. www.jmest.org
Rwanga, S. S., & Ndambuki, J. M. (2017). Accuracy Assessment of Land Use/Land Cover Classification Using Remote Sensing and GIS. International Journal of Geosciences, 08(04), 611–622. https://doi.org/10.4236/ijg.2017.84033
Shofy, Y. F., & Wibowo, A. (2023). The Impact of the Trans-Java Toll Road Development on Spatial Planning in the Northern Region of Java Island: A Study Utilizing NDBI and Google Earth Images. Indonesian Journal of Earth Sciences, 3(1), A611. https://doi.org/10.52562/injoes.2023.611
Sun, G., Chen, X., Jia, X., Yao, Y., & Wang, Z. (2016). Combinational Build-Up Index (CBI) for Effective Impervious Surface Mapping in Urban Areas. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(5), 2081–2092. https://doi.org/10.1109/JSTARS.2015.2478914
Zhao, L., Liu, Z., & Mbachu, J. (2019). Highway alignment optimization: An integrated BIM and GIS approach. ISPRS International Journal of Geo-Information, 8(4). https://doi.org/10.3390/ijgi8040172
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