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
DOI:
https://doi.org/10.52562/injoes.2023.611Keywords:
Google Earth, industrial area, NDBI, settlements, Trans-Java Toll RoadAbstract
The primary objective of toll roads is to stimulate economic growth. As the pivotal road network on Java Island, the Trans-Java Toll Road has a significant impact on regional development and spatial planning. However, there has been a lack of research focusing on the specific influence of this toll road on spatial planning. Therefore, this study aims to comprehensively examine the spatial and temporal implications of the Trans-Java Toll Road. To achieve this goal, the Normalized Difference Built-Up Index (NDBI) method is employed using satellite imagery. This method is widely recognized for its effectiveness in detecting changes in built-up areas through remote sensing techniques. The calculated NDBI values reveal substantial expansion of built-up areas in the cities and regencies traversed by the Trans-Java Toll Road. Notably, two specific areas with the highest rates of change are investigated: Gresik Regency and Bekasi Regency, where the built-up areas have experienced remarkable growth of over 186.9% and 61.8% respectively over a five-year period. To validate these findings, Google Earth imagery is utilized for two different years, namely 2016 and 2021. The observed changes in these regions are predominantly attributed to the economic growth facilitated by the establishment of industrial areas. Consequently, the expansion of industrial zones and settlements has resulted in a notable reduction in wetland areas and a simultaneous increase in built-up areas.
Downloads
References
Aditya, R. B., & Husna, Z. (2022). Identification of Sprawl Development Typologies around Toll Road Gates in Java, Indonesia. Tataloka, 24(1), 1–14. https://doi.org/10.14710/tataloka.24.1.1-14
Amin, M. C. (2017). Faktor- Faktor Yang Mempengaruhi Pertumbuhan Kendaraan Bermotor Roda Dua di Kota Pekanbaru. JOM Fekon, 4(1), 1106–1120.
Andani, I. G. A., Geurs, K., & Puello, L. L. P. (2019). Effects of toll road construction on local road projects in Indonesia. Journal of Transport and Land Use, 12(1), 179–199. https://doi.org/10.5198/jtlu.2019.1258
Chapa, F., Hariharan, S., & Hack, J. (2019). A new approach to high-resolution urban land use classification using open access software and true color satellite images. Sustainability (Switzerland), 11(19). https://doi.org/10.3390/su11195266
Firmansyah, F., Susetyo, C., Pratomoatmojo, N. A., Kurniawati, U. F., & Yusuf, M. (2021). Land use change trend of paddy field and its influence on food security in Gerbangkertosusila Region. IOP Conference Series: Earth and Environmental Science, 778(1). https://doi.org/10.1088/1755-1315/778/1/012023
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), e09093. https://doi.org/10.1016/j.heliyon.2022.e09093
Gupta, S., Kalmanje, S., & Kockelman, K. M. (2006). Road pricing simulations: Traffic, land use and welfare impacts for Austin, Texas. Transportation Planning and Technology, 29(1), 1–23. https://doi.org/10.1080/03081060600584130
Handayani, M. N., Sasmito, B., & Putra, A. (2017). Analisis Hubungan Antara Perubahan Suhu Dengan Indeks Kawasan Terbangun Menggunakan Citra Landsat (Studi Kasus?: Kota Surakarta). Jurnal Geodesi Undip Oktober, 6(4), 208.
Hasyim, A. W., Sianturi, R. E. P., & Hidayat, A. R. T. (2019). Spatial Pattern of Land Cover Change in the Coastal Area of Gresik Regency, Indonesia Using Land Change Modeler. IOP Conference Series: Earth and Environmental Science, 328(1). https://doi.org/10.1088/1755-1315/328/1/012059
He, C., Shi, P., Xie, D., & Zhao, Y. (2010). Improving the normalized difference built-up index to map urban built-up areas using a semiautomatic segmentation approach. Remote Sensing Letters, 1(4), 213–221. https://doi.org/10.1080/01431161.2010.481681
Karanam, H. K., & BabuNeela, V. (2018). Study of normalized difference built-up (NDBI) index in automatically mapping urban areas from Landsat TM imagery. International Journal of Engineering, Science and Mathematics, 6(8), 239–248.
Kurnianti, D. N., Rustiadi, E., & Baskoro, D. P. T. (2015). Land use projection for spatial plan consistency in Jabodetabek. Indonesian Journal of Geography, 47(2), 124–131. https://doi.org/10.22146/ijg.9249
Makbul, Y., Faoziyah, U., Ratnaningtyas, S., & Kombaitan, B. (2019). Infrastructure development and food security in Indonesia: The impact of the trans-Java toll road on rice paddy farmers’ desire to sell farmland. Journal of Regional and City Planning, 30(2), 140–156. https://doi.org/10.5614/jpwk.2019.30.2.4
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), 1–9. https://doi.org/10.1088/1755-1315/498/1/012024
Palilu, A. (2019). Analisis Pengaruh Pembangunan Infrastruktur Transportasi Terhadap Produk Domestik Regional Bruto Kota Ambon. Buletin Studi Ekonomi, 23(2), 227. https://doi.org/10.24843/bse.2018.v23.i02.p06
Sumaryoto, S. (2010). Dampak Keberadaan Jalan Tol Terhadap Kondisi Fisik, Sosial, Dan ekonomi Lingkungannya. Journal of Rural and Development, I(2), 161–161.
Susanto, A., & Marsoyo, A. (2019). Pengaruh Lokasi Exit Toll Jalan Tol Lingkar Luar Bogor Terhadap Perubahan Guna Lahan Di Area Sekitarnya. Jurnal Geografi, XVII(2), 1–14.
Suwargana, N., & Haranugraha, W. K. (2017). Perubahan Penutup/Penggunaan Lahan di Kabupaten Bekasi, Jawa Barat Menggunakan Data LANDSAT Tahun 1999-2013. Pemanfaatan Data Pengindraan Jauh Untuk Pertanian Dan Kehutanan, 1, 45–56.
Wang, L., Diao, C., Xian, G., Yin, D., Lu, Y., Zou, S., & Erickson, T. A. (2020). A summary of the special issue on remote sensing of land change science with Google earth engine. Remote Sensing of Environment, 248(April 2018). https://doi.org/10.1016/j.rse.2020.112002
Watik, N., & Jaelani, L. M. (2019). Flood evacuation routes mapping based on derived-flood impact analysis from landsat 8 imagery using network analyst method. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(3/W8), 455–460. https://doi.org/10.5194/isprs-archives-XLII-3-W8-455-2019
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Yuny Fikriyah Shofy, Adi Wibowo
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
