Analysis of Residential Area Suitability Based On the Regional Spatial Planning (RTRW) of Banda Aceh City, Indonesia
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Rapid urbanization in Banda Aceh has intensified pressure on land resources, creating challenges in maintaining consistency between actual land use and the Regional Spatial Plan (RTRW) 2009–2029. This study evaluates the spatial conformity of residential land use, examines land-use change patterns, and identifies the key factors influencing residential development. An integrated approach is employed, combining Geographic Information Systems (GIS)-based spatial overlay analysis with multiple linear regression modeling. The findings reveal a significant expansion of built-up areas, particularly residential land, alongside a substantial decline in non-built areas such as green open space and water bodies. This trend indicates a clear pattern of urban sprawl and the ongoing conversion of environmentally sensitive land. Spatial analysis shows varying levels of conformity with the RTRW, where some land-use categories remain aligned with planning directives, while others, especially residential areas and green open space, exhibit notable deviations, reflecting gaps between planning and implementation. Regression results indicate that Gross Regional Domestic Product (GRDP) and distance to the Central Business District (CBD) are the most influential factors driving residential development, emphasizing the dominant role of economic growth and spatial accessibility. In contrast, population density, infrastructure, and land-use conversion show limited statistical significance. These findings suggest that urban growth in Banda Aceh is primarily shaped by economic and locational factors rather than regulatory controls alone. This study contributes by providing an integrated spatial–econometric framework to assess land-use conformity and supports more effective and sustainable spatial planning in rapidly growing secondary cities.
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Ahmad, F., & Goparaju, L. (2016). Analysis of urban sprawl dynamics using geospatial technology in Ranchi City, Jharkhand, India. Journal of Environmental Geography, 9(1–2), 7–13.
Aithal, B. H., & Ramachandra, T. V. (2016). Visualization of urban growth pattern in Chennai using geoinformatics and spatial metrics. Journal of the Indian Society of Remote Sensing, 44(4), 617–633.
Aithal, B. H., Shivamurthy, V., & Ramachandra, T. V. (2017). Characterization and visualization of spatial patterns of urbanisation and sprawl through metrics and modeling. Cities and the Environment (CATE), 10(1), Article 5. https://doi.org/10.15365/1932-7048.1225
Bhat, P. A., ul Shafiq, M., Mir, A. A., & Ahmed, P. (2017). Urban sprawl and its impact on land use/land cover dynamics of Dehradun City, India. International Journal of Sustainable Built Environment, 6(2), 513–521.
Bhatta, B., Saraswati, S., & Bandyopadhyay, D. (2010). Urban sprawl measurement from remote sensing data. Applied Geography, 30(4), 731–740.
Chettry, V., & Surawar, M. (2021). Assessment of urban sprawl characteristics in Indian cities using remote sensing: Case studies of Patna, Ranchi, and Srinagar. Environment, Development and Sustainability, 23(8), 11913–11935.
Dhaifullah, T. D., Fadhly, N., & Bulba, A. T. (2023). Identifying the growth centers in Banda Aceh City, Indonesia: Before and after tsunami. International Journal of Global Optimization and Its Application, 2(4), 265–276. https://doi.org/10.56225/ijgoia.v2i4.267
Jat, M. K., Garg, P. K., & Khare, D. (2008). Monitoring and modelling of urban sprawl using remote sensing and GIS techniques. International Journal of Applied Earth Observation and Geoinformation, 10(1), 26–43.
Kumar, M., Singh, R. B., Pravesh, R., Kumar, P., Tripathi, D. K., & Sahu, N. (2018). Urban growth dynamics and modelling using remote sensing data and multivariate statistical techniques. Current Science, 115(11), 2080–2091.
Lata, K. M., Rao, C. S., Prasad, V. K., Badarinath, K. V. S., & Raghavasamy, V. (2001). Measuring urban sprawl: A case study of Hyderabad. GIS Development, 5(12), 26–29.
Ramachandra, T. V., Aithal, B. H., & Sreekantha, S. (2012). Spatial metrics-based landscape structure and dynamics assessment for an emerging Indian megalopolis. International Journal of Advanced Research in Artificial Intelligence, 1(1), 48–57.
Ramachandra, T. V., Bharath, H. A., & Sowmyashree, M. V. (2013). Analysis of spatial patterns of urbanisation using geoinformatics and spatial metrics. Theoretical and Empirical Researches in Urban Management, 8(4), 5–24.
Rao, K. N., & Narendra, K. (2006). Mapping and evaluation of urban sprawling in the Mehadrigedda watershed in Visakhapatnam metropolitan region using remote sensing and GIS. Current Science, 91(11), 1552–1557.
Sankhala, S., & Singh, B. (2014). Evaluation of urban sprawl and land use land cover change using remote sensing and GIS techniques: A case study of Jaipur City, India. International Journal of Emerging Technology and Advanced Engineering, 4(1), 66–72.
Sudhira, H. S., Ramachandra, T. V., & Jagadish, K. S. (2004). Urban sprawl: Metrics, dynamics and modelling using GIS. International Journal of Applied Earth Observation and Geoinformation, 5(1), 29–39.
Sukmaniar, Pitoyo, A. J., & Kurniawan, A. (2020). Vulnerability of economic resilience of slum settlements in the City of Palembang. IOP Conference Series: Earth and Environmental Science, 451(1), 012106. https://doi.org/10.1088/1755-1315/451/1/012106
Sukmaniar, Pitoyo, A. J., & Kurniawan, A. (2021). Deviant behaviour in the slum community of Palembang City. IOP Conference Series: Earth and Environmental Science, 683(1), 012129. https://doi.org/10.1088/1755-1315/683/1/012129