Effect of Transportation Infrastructure on Built-up Area Using Prediction of Land Use/Cover Change: Case Study of Yogyakarta International Airport, Indonesia
| Main Authors: | Sukri, Irwansyah, Harini, Rika, Sudrajat, Sudrajat |
|---|---|
| Other Authors: | The Directorate of Research at Universitas Gadjah Mada |
| Format: | Article info A quantitative descriptive application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Faculty of Geography, Universitas Gadjah Mada
, 2022
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| Subjects: | |
| Online Access: |
https://journal.ugm.ac.id/ijg/article/view/68216 https://journal.ugm.ac.id/ijg/article/view/68216/pdf https://journal.ugm.ac.id/ijg/article/downloadSuppFile/68216/17789 https://journal.ugm.ac.id/ijg/article/downloadSuppFile/68216/17790 https://journal.ugm.ac.id/ijg/article/downloadSuppFile/68216/17791 https://journal.ugm.ac.id/ijg/article/downloadSuppFile/68216/17792 https://journal.ugm.ac.id/ijg/article/downloadSuppFile/68216/17793 https://journal.ugm.ac.id/ijg/article/downloadSuppFile/68216/22602 |
Daftar Isi:
- The development of transportation infrastructure increases the pressure on natural resources, one of which is the increase in the built-up area. The changes do not only happen during the construction of transportation infrastructure but also after its completion. Therefore, this study aims to identify and simulate land use/cover changes in Kulon Progo Regency, Indonesia, to predict the effect of the construction of Yogyakarta International Airport (YIA). A quantitative descriptive method was used with the main data of multitemporal Landsat remote sensing images. Furthermore, the integration of Cellular Automata and Artificial Neural Networks (CA-ANN) was applied to simulate land use/cover change predictions (2035). The results of image classification using the supervised maximum likelihood classification showed an overall accuracy of 85.33% and 86.67% for 2011, and 2015 with 2019 using Landsat 7 and 8 images, respectively. Meanwhile, there was an increase in paddy fields of 1,210.1 ha (2.11%) and built-up area by 2,708.6 ha (4.72%) during 2011 – 2019. Conversely, shrubs and dryland agriculture decreased by 1,594.1 ha (2.78%) and 2,174.1 ha (3.79%). The simulation results indicate that the development of transportation infrastructure further triggers the increase in built-up area, especially around the YIA. Therefore, policymakers and development implementers should adopt and implement appropriate and effective planning for sustainable land use.