Built-Up Development Prediction Based on Cellular Automata Modelling Around New Yogyakarta International Airport
New Yogyakarta International Airport (NYIA) in Kulon Progo Regency was developed with the primary objective of fostering economic growth. The initiation of operations at NYIA in March 2020 triggered substantial urban development in the surrounding area. This research aims to monitor the changes in l...
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| Format: | Article |
| Language: | English |
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Polish Society of Ecological Engineering (PTIE)
2024-01-01
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| Series: | Ecological Engineering & Environmental Technology |
| Subjects: | |
| Online Access: | http://www.ecoeet.com/Built-Up-Development-Prediction-Based-on-Cellular-Automata-Modelling-Around-New-Yogyakarta,175138,0,2.html |
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| author | Wahid Akhsin Budi Nur Sidiq Trida Ridho Fariz Purnomo Adi Saputro Muh Sholeh |
| author_facet | Wahid Akhsin Budi Nur Sidiq Trida Ridho Fariz Purnomo Adi Saputro Muh Sholeh |
| author_sort | Wahid Akhsin Budi Nur Sidiq |
| collection | DOAJ |
| description | New Yogyakarta International Airport (NYIA) in Kulon Progo Regency was developed with the primary objective of fostering economic growth. The initiation of operations at NYIA in March 2020 triggered substantial urban development in the surrounding area. This research aims to monitor the changes in land cover and predict development of urban areas. The research methodology comprised the use of Random Forest, Classification, and Regression Tree machine learning algorithms to create land cover maps. It also incorporated Cellular Automata (CA), which was used to make prediction related to land development. The results showed that the land cover map had an overall accuracy level of above 0.80. Furthermore, it was observed from the results of the time series land cover analysis that there was a rapid growth in built-up lands. Between 2013 and 2017 these lands expanded by 572.38 hectares and further increased by 268.97 hectares from 2017 to 2023, leading to the conversion of 571.64 hectares of agricultural lands. Based on these findings, it was projected that by 2033, there would be an expansion of 386.08 hectares in built-up lands, with approximately 356.82 hectares converted from agricultural areas. The accuracy assessment of the 2023 land cover prediction map showed a high level of correctness, with a 97% accuracy rate. Based on these results, it was concluded that land conversion is essential to prevent environmental degradation, and further research can be carried out with the aim of assessing environmental quality indices. |
| first_indexed | 2024-03-08T23:34:54Z |
| format | Article |
| id | doaj.art-55b5f2a97fe04a7c92e9b68a301c4b39 |
| institution | Directory Open Access Journal |
| issn | 2719-7050 |
| language | English |
| last_indexed | 2024-03-08T23:34:54Z |
| publishDate | 2024-01-01 |
| publisher | Polish Society of Ecological Engineering (PTIE) |
| record_format | Article |
| series | Ecological Engineering & Environmental Technology |
| spelling | doaj.art-55b5f2a97fe04a7c92e9b68a301c4b392023-12-14T07:33:03ZengPolish Society of Ecological Engineering (PTIE)Ecological Engineering & Environmental Technology2719-70502024-01-0125123825010.12912/27197050/175138175138Built-Up Development Prediction Based on Cellular Automata Modelling Around New Yogyakarta International AirportWahid Akhsin Budi Nur Sidiq0https://orcid.org/0000-0002-6057-5231Trida Ridho Fariz1https://orcid.org/0000-0002-3943-0089Purnomo Adi Saputro2https://orcid.org/0000-0000-0000-0001Muh Sholeh3https://orcid.org/0000-0001-2345-6789Geography Departement, Faculty of Social Sciences and Political Science, Semarang State University, Sekaran, 50229, Semarang City, IndonesiaEnvironmental Science Department, Faculty of Mathematics and Natural Sciences, Semarang State University, Sekaran, 50229, Semarang City, IndonesiaGeography Departement, Faculty of Social Sciences and Political Science, Semarang State University, Sekaran, 50229, Semarang City, IndonesiaGeography Departement, Faculty of Social Sciences and Political Science, Semarang State University, Sekaran, 50229, Semarang City, IndonesiaNew Yogyakarta International Airport (NYIA) in Kulon Progo Regency was developed with the primary objective of fostering economic growth. The initiation of operations at NYIA in March 2020 triggered substantial urban development in the surrounding area. This research aims to monitor the changes in land cover and predict development of urban areas. The research methodology comprised the use of Random Forest, Classification, and Regression Tree machine learning algorithms to create land cover maps. It also incorporated Cellular Automata (CA), which was used to make prediction related to land development. The results showed that the land cover map had an overall accuracy level of above 0.80. Furthermore, it was observed from the results of the time series land cover analysis that there was a rapid growth in built-up lands. Between 2013 and 2017 these lands expanded by 572.38 hectares and further increased by 268.97 hectares from 2017 to 2023, leading to the conversion of 571.64 hectares of agricultural lands. Based on these findings, it was projected that by 2033, there would be an expansion of 386.08 hectares in built-up lands, with approximately 356.82 hectares converted from agricultural areas. The accuracy assessment of the 2023 land cover prediction map showed a high level of correctness, with a 97% accuracy rate. Based on these results, it was concluded that land conversion is essential to prevent environmental degradation, and further research can be carried out with the aim of assessing environmental quality indices.http://www.ecoeet.com/Built-Up-Development-Prediction-Based-on-Cellular-Automata-Modelling-Around-New-Yogyakarta,175138,0,2.htmlbuilt-upcellular automata (ca)new yogyakarta international airport (nyia) |
| spellingShingle | Wahid Akhsin Budi Nur Sidiq Trida Ridho Fariz Purnomo Adi Saputro Muh Sholeh Built-Up Development Prediction Based on Cellular Automata Modelling Around New Yogyakarta International Airport Ecological Engineering & Environmental Technology built-up cellular automata (ca) new yogyakarta international airport (nyia) |
| title | Built-Up Development Prediction Based on Cellular Automata Modelling Around New Yogyakarta International Airport |
| title_full | Built-Up Development Prediction Based on Cellular Automata Modelling Around New Yogyakarta International Airport |
| title_fullStr | Built-Up Development Prediction Based on Cellular Automata Modelling Around New Yogyakarta International Airport |
| title_full_unstemmed | Built-Up Development Prediction Based on Cellular Automata Modelling Around New Yogyakarta International Airport |
| title_short | Built-Up Development Prediction Based on Cellular Automata Modelling Around New Yogyakarta International Airport |
| title_sort | built up development prediction based on cellular automata modelling around new yogyakarta international airport |
| topic | built-up cellular automata (ca) new yogyakarta international airport (nyia) |
| url | http://www.ecoeet.com/Built-Up-Development-Prediction-Based-on-Cellular-Automata-Modelling-Around-New-Yogyakarta,175138,0,2.html |
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