Temporal Analysis of Urban Land Use Change from 2010 to 2022: A Case Study of Kwasa Damansara, Sungai Buloh, Malaysia

Nuriah Abd Majid; Nurzahidah Mohd Zaki

Green spaces and agricultural lands have decreased, raising concerns about environmental sustainability. This study investigates the temporal changes in urban land use in Kwasa Damansara, Sungai Buloh from 2010 to 2022. Utilizing Landsat 7 ETM+ and iPlan Malaysia data, we employ supervised classification methods from ArcGIS 10.8 software to class the land use as built up area, water bodies, forest, and bare land. Significant changes in land use patterns at Kwasa Damansara, with developed area areas increasing by 22.77%, bare land increasing by 715.89%, forest decreasing by 51.26%, and water bodies increasing by 4106.66%. The analysis revealed significant urban expansion, particularly in built up areas, driven by population growth and economic development. Major infrastructure projects also contributed to the spatial reconfiguration of the region. The findings underscore the need for sustainable urban planning to balance development with environmental conservation. This study provides valuable insights for policymakers and urban planners to foster sustainable development and enhance urban resilience in Kwasa Damansara.

Abdullah, S. A., & Nakagoshi, N. (2006). Changes in landscape spatial pattern in the highly developing state of Selangor, Peninsular Malaysia. Landscape and Urban Planning, 77(3), 263–275.
Ali, S., Xu, H., Ahmed, W., Ahmad, N., & Solangi, Y. A. (2020). Metro design and heritage sustainability: Conflict analysis using attitude-based options in the graph model. Environment, Development and Sustainability, 22, 3839–3860.
Angel, S., Parent, J., & Civco, D. L. (2011). The dimensions of global urban expansion: Estimates and projections for all countries, 2000–2050. Progress in Planning, 75(2), 53–107.
Bello, M. N., Abbas, I. I., & Akpu, B. (2014). Analysis of land use-land cover changes in Zuru and its environment of Kebbi state, Nigeria using remote sensing and geographic information system technology. Journal of Geography and Earth Science, 2(1), 113–126.
Bruce, C. M., & Hilbert, D. W. (2006). Pre-processing methodology for application to Landsat TM/ETM imagery of the wet tropics. Cairns, Australia: Rainforest CRC.
Campbell, D. J., Lusch, D. P., Smucker, T. A., & Wangui, E. E. (2005). Multiple methods in the study of driving forces of land use and land cover change: A case study of SE Kajiado District, Kenya. Human Ecology, 33(6), 763–794.
Chen, X.-L., Zhao, H.-M., Li, P.-X., & Yin, Z.-Y. (2006). Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment, 104(2), 133–146.
Cheruto, M. C., Kauti, M. K., Kisangau, P. D., & Kariuki, P. C. (2016). Assessment of land use and land cover change using GIS and remote sensing techniques: A case study of Makueni County, Kenya. Journal of Remote Sensing and GIS, 5(4), 2469–4134.
Codjoe, S. N. A. (2007). Integrating remote sensing, GIS, census, and socioeconomic data in studying the population–land use/cover nexus in Ghana: A literature update. Africa Development, 32(2), 197–212.
Hotez, P. J. (2016). Southern Europe’s coming plagues: Vector-borne neglected tropical diseases. PLoS Neglected Tropical Diseases, 10(6), e0004243. https://doi.org/10.1371/journal.pntd.0004243
Hussin, N. A., Omar, H., & Saiful, A. (2019). Land use/land cover change detection analysis on urban growth of Kuala Lumpur using remote sensing and GIS technologies. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W16, 243–250.
Jensen, J. R. (2005). Introductory digital image processing: A remote sensing perspective (3rd ed.). Pearson Prentice Hall.
Lea, C., & Curtis, A. (2010). Thematic accuracy assessment procedures: National Park Service vegetation inventory (Version 2.0). Fort Collins, CO: National Park Service, U.S. Department of the Interior.
Lu, D., Mausel, P., Brondizio, E., & Moran, E. (2004). Change detection techniques. International Journal of Remote Sensing, 25(12), 2365–2401.
Man, N. I., & Majid, N. A. (2024). Urban landscape changes and land use patterns: The impact of Mass Rapid Transit (MRT) system construction in the context of development in the Klang Valley between 2010 and 2020. International Journal of Academic Research in Business and Social Sciences, 242-251.
Man, N. I., Majid, N. A., & Dziauddin, M. F. (2024a). Corak guna tanah: Impak pembangunan sistem Mass Rapid Transit (MRT) di Lembah Klang daripada tahun 2010 dan tahun 2020. 2nd International Conference on Geography, Environment and Sustainability 2024, 47-48.
Man, N. I., Majid, N. A., & Rainis, R. (2024b). Unveiling the spatial imprint of Mass Rapid Transit (MRT) stations: An analysis of population density shifts in Klang Valley using the 2020 census data. International Journal of Academic Research in Business and Social Sciences, 1770-1784.
Man, N. I., Majid, N. A., Rainis, R., & Ahmed, M. F. (2024c). Mass Rapid Transit (MRT) and urban transformation: A case study of Kuala Lumpur's Damansara. International Journal of Academic Research in Business and Social Sciences, 1758-1769.
Nagendra, H., Munroe, D. K., & Southworth, J. (2004). From pattern to process: Landscape fragmentation and the analysis of land use/land cover change. Agriculture, Ecosystems & Environment, 101(2–3), 111–115.
Nathalia, D., Kumar, K. M., Kishore, N., & Krishnan, G. (2017). Environmental change detection using geo-spatial techniques in Aravalli Hills and environs (Faridabad District, Haryana). International Journal of Applied Environmental Science, 12(5), 865–875.
Patz, J. A., Epstein, P. R., Burke, T. A., & Balbus, J. M. (1996). Global climate change and emerging infectious diseases. JAMA, 275, 217–223.
Poumadere, M., Mays, C., Le Mer, S., & Blong, R. (2005). The 2003 heat wave in France: Dangerous climate change here and now. Risk Analysis, 25(6), 1483–1494.
Rahman, N. A., Hamid, S., & Suri, N. M. (2017). Urban sprawl and its impact on the sustainable environment: A case of Kuala Lumpur metropolitan region. Sustainable Cities and Society, 28, 204–212.
Rosenfield, G. H., & Fitzpatrick-Lins, K. (1986). A coefficient of agreement as a measure of thematic classification accuracy. Photogrammetric Engineering and Remote Sensing, 52(2), 223–227.
Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012). Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proceedings of the National Academy of Sciences, 109(40), 16083–16088.
Shamsuddin, S. (2016). Sustainable urban planning in Malaysia: A comparative study of sustainable development in urban and rural areas. Journal of Urban Planning and Development, 142(4), 05016001.
Singh, A. (1989). Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10(6), 989–1003.
Song, C., Woodcock, C. E., Seto, K. C., Lenney, M. P., & Macomber, S. A. (2001). Classification and change detection using Landsat TM data: When and how to correct atmospheric effects? Remote Sensing of Environment, 75(2), 230–244.
United Nations. (2002). World urbanization prospects: The 2001 revision data table and highlights. New York: Department of Economic and Social Affairs.
Waddell, P. (2007). UrbanSim: Modeling urban development for land use, transportation, and environmental planning. Journal of the American Planning Association, 72(3), 297–314.
Yap, L. Y. (2010). Urbanization and economic development in Malaysia: An overview of the urban process in Kuala Lumpur. Urban Development in Southeast Asia, 3, 52–71.
Zewdu, S., Suryabhagavan, K., & Balakrishnan, M. (2016). Land-use/land-cover dynamics in Sego Irrigation Farm, Southern Ethiopia: A comparison of temporal soil salinization using geospatial tools. Journal of the Saudi Society of Agricultural Sciences, 15(1), 91–97.
Zhou, G., & Peng, J. (2012). The evolutionary characteristics and impact effects of spatial conflicts: The case of Chang-Zhu-Tan urban agglomeration. Advances in Geographical Science, 31(4), 717–723.
Zhou, W., Huang, G., & Cadenasso, M. L. (2011). Does spatial configuration matter? Understanding the effects of land cover pattern on land surface temperature in urban landscapes. Landscape and Urban Planning, 102(1), 54–63.

Majid, N. A., & Zaki, N. M. (2025). Temporal Analysis of Urban Land Use Change from 2010 to 2022: A Case Study of Kwasa Damansara, Sungai Buloh, Malaysia. International Journal of Academic Research in Business and Social Sciences, 15(2), 257–270.

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Temporal Analysis of Urban Land Use Change from 2010 to 2022: A Case Study of Kwasa Damansara, Sungai Buloh, Malaysia

Nuriah Abd Majid, Nurzahidah Mohd Zaki

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