Polycentricity in Bandung 2025: A Spatial Analysis Integrating Bootstrap Methods and Sustainable Urban Policy
DOI:
https://doi.org/10.36574/75ntz786Keywords:
cbd, polycentricity, spatial autocorrelation, bootstrap regression, bandungAbstract
Urban development in many metropolitan regions is shifting from monocentric to polycentric structures, offering pathways toward more sustainable, equitable, and resilient cities. This study analyses the polycentric transformation of Bandung’s Central Business District (CBD) using an integrated spatial and econometric approach. Data from 118 observation points across seven commercial corridors were examined through Local Indicators of Spatial Association (LISA) and bootstrapped regression with 10,000 resamples to improve reliability. The results reveal a significant spatial clustering pattern (Moran’s I = 0.482, p < 0.05) and identify four functional clusters: Primary Commercial Nucleus, Strategic Corridor, Sub-Centre Embryo, and Low-Intensity Zone. Regression analysis demonstrates strong explanatory power (R² = 0.821), with cultural and locational factors exerting the most decisive influence, followed by economic activity and accessibility. In contrast, government policy shows a negative association, suggesting that regulatory complexity can constrain growth and spatial agglomeration. These findings indicate that Bandung’s polycentric evolution is shaped more by cultural vitality and market dynamics than by top-down policy intervention. The study contributes empirical evidence to debates on urban polycentricity and provides practical insights for property valuation, spatial planning, and taxation frameworks. By linking the results to the United Nations Sustainable Development Goal 11, the research highlights polycentric development as a viable strategy for promoting inclusive and sustainable metropolitan futures.
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References
Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x
Aziz, S., Rahayu, P., & Istanabi, T. (2023). Potensi wilayah perkotaan polisentris pada Surakarta Raya ditinjau dari perspektif pusat aktivitas. Jurnal Pengembangan Kota, 11(2), 140–154. https://doi.org/10.14710/jpk.11.2.140-154
Chen, W., & Liu, Z. (2021). Accelerating urban polycentricity in Asia: The influence of infrastructure and governance. Cities, 112, 103121. DOI: 10.1016/j.cities.2021.103121
Chen, Y. (2024). Reconstruction and normalization of LISA for spatial analysis. PLOS ONE, 19(5), e0303456. https://doi.org/10.1371/journal.pone.0303456
Chen, Y., Yu, P., Wang, L., Chen, Y., & Yung, E. H. K. (2023). Polycentric urban development with state-led administrative division adjustment: A policy insight for urban spatial transformation. Journal of Geographical Sciences, 33(12), 2400–2424. https://doi.org/10.1007/s11442-023-2182-y
Cheng, H., & Shaw, D. (2017). Polycentric development practice in master planning: The case of China. International Planning Studies, 23(1), 83–97. https://doi.org/10.1080/13563475.2017.1361318
Davison, A. C., & Hinkley, D. V. (1997). Bootstrap methods and their application. Cambridge University Press. https://doi.org/10.1017/CBO9780511802843
Derudder, B., Liu, X., Wang, M., Zhang, W., Wu, K., & Caset, F. (2021). Measuring polycentric urban development: The importance of accurately determining the 'balance' between 'centers'. Cities, 111, 103009. https://doi.org/10.1016/j.cities.2020.103009
Derudder, B., Meijers, E., Harrison, J., Hoyler, M., & Liu, X. (2022). Polycentric urban regions: Conceptualization, identification, and implications. Regional Studies, 56(1), 1–15. DOI: 10.1080/00343404.2021.1982134
Efron, B., & Tibshirani, R. J. (1994). An introduction to the bootstrap. Chapman and Hall/CRC. https://doi.org/10.1201/9780429246593
Firman, T., & Setiawan, B. (2023). Polycentricity in the Greater Bandung Metropolitan Area: Challenges and Opportunities. Urban Studies, 60(3), 546–563. DOI: 10.1177/00420980221012167
Firman, T., & Setiawan, B. (2023). Polycentricity in the Jakarta-Bandung Mega-Urban Region: Governance challenges and policy implications. Indonesian Journal of Geography, 55(2), 210–225. https://doi.org/10.22146/ijg.74532
Hakim, L., Rochima, E., & Wyantuti, S. (2021). Implementasi Kebijakan dan Realisasi Rencana Tata Ruang Kec. Garut Kota di Kab. Garut: Studi Analisis Kebijakan. Jurnal Ekonomi & Kebijakan Publik, 12(2), 113–126. https://doi.org/10.22212/jekp.v12i2.1938
Han, S. S. (2005). Polycentric urban development and spatial clustering of condominium property values: Singapore in the 1990s. Environment and Planning A: Economy and Space, 37(3), 463–477. https://doi.org/10.1068/a36177
Jansen, T., & De Lange, M. (2020). Polycentric urban development: Sustainable futures and spatial strategies. Environmental Planning B: Urban Analytics and City Science, 47(5), 1001–1025. DOI: 10.1177/2399808320902359
Jiang, Y., & Wang, D. (2022). Informal economy and polycentricity: The case of Latin American cities. Urban Studies, 59(4), 689–707. DOI: 10.1177/00420980221078415
Juanda, B., Witjaksono, A., & Indriani, R. (2021). Challenges and opportunities of implementing market value-based property tax in Indonesia: Lessons from Bandung and Yogyakarta. Indonesian Journal of Geography, 53(3), 378–389. https://doi.org/10.22146/ijg.64521
Li, Y., & Liu, X. (2023). Polycentricity and sustainable urban form: A systematic review of metrics and outcomes. Sustainable Cities and Society, 92, 104487. https://doi.org/10.1016/j.scs.2023.104487
Liu, Y., & Wang, J. (2023). Government policy and polycentric urban development: Evidence from China’s metropolitan regions. Land Use Policy, 125, 106485. https://doi.org/10.1016/j.landusepol.2022.106485
Liu, X., Derudder, B., & Wu, K. (2022). Measuring polycentric urban development: A comparative study of different methods and their implications. Cities, 120, 103467. https://doi.org/10.1016/j.cities.2021.103467
Liu, X., Wang, M., & Wang, Y. (2022). A bootstrap approach to spatial econometric models with endogenous weights. Spatial Economic Analysis, 17(4), 432–450. https://doi.org/10.1080/17421772.2022.2047892
Mukhoriyah, M., & Arifin, L. S. (2022). Pola spasial dan determinasi harga lahan di kawasan Metropolitan Bandung Raya. Jurnal Wilayah dan Lingkungan, 10(3), 245–260. https://doi.org/10.14710/jwl.10.3.245-260
Mukhoriyah, M., Arifin, S., Dewi, E. K., & Silvia, S. (2021). Analysis of development patterns of built land and spatial structure in Bandung City using Landsat 8 image data. Jurnal Ilmu Lingkungan, 19(1), 36–42. https://doi.org/10.14710/jil.19.1.36-42
Nugroho, S. B., Setyono, D. A., & Pratama, A. A. (2024). Evaluasi kesenjangan NJOP dan nilai pasar di kawasan polisentris: Studi kasus Yogyakarta. Jurnal Perencanaan Wilayah dan Kota, 21(1), 78–95. https://doi.org/10.14710/jpwk.21.1.78-95
OECD (2021). Global State of National Urban Policy 2021: Achieving the Sustainable Development Goals and Delivering Climate Action. OECD Publishing. DOI: 10.1787/abc8c3f4-en
Pemerintah Kota Bandung. (2022). Peraturan Daerah Kota Bandung Nomor 5 Tahun 2022 tentang Rencana Tata Ruang Wilayah Kota Bandung Tahun 2022-2042. Pemerintah Kota Bandung.
Permana, A., Winarso, H., & Zulkaidi, D. (2018). Beyond location: Incorporating cultural and environmental attributes into property valuation for fair land and building tax. Journal of Regional and City Planning, 29(3), 217–232. https://doi.org/10.5614/jpwk.2018.29.3.3
Rahayu, P., & Saputra, D. W. (2023). Integrasi metode spasial dan machine learning dalam mass appraisal untuk NJOP. Jurnal Ilmu Administrasi dan Kebijakan Publik, 20(1), 45–60. https://doi.org/10.14710/jiakp.20.1.45-60
Setiawan, B., & Firman, T. (2023). Polycentricity and urban governance in emerging megapolitan regions: The case of Jakarta–Bandung. Habitat International, 139, 102876. https://doi.org/10.1016/j.habitatint.2023.102876
Soesilo, I., & Wibisono, B. (2019). Spatial autocorrelation analysis in mass appraisal model for property tax purposes in urban area of Indonesia. Journal of Urban Planning and Development, 145(4), 04019020. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000528
Suh, D., & Lee, S. (2023). Bootstrap-based uncertainty assessment for spatial regression models. Journal of Geographical Systems, 25(2), 145–162. https://doi.org/10.1007/s10109-023-00412-1
Surya, B., et al. (2023). Emerging sub-centers in polycentric metropolitan areas: A case study of Greater Jakarta. Sustainable Cities and Society, 88, 104290. https://doi.org/10.1016/j.scs.2022.104290
Susetyo, D., Utari, P., & Najwah, L. (2020). The development of mass appraisal system for property tax in Indonesia: A case study of Semarang City. Journal of Construction in Developing Countries, 25(2), 213–230. https://doi.org/10.21315/jcdc2020.25.2.8
Tan, L., & Nguyen, H. (2023). The role of cultural heritage in shaping polycentric urban form: A case from Southeast Asia. Journal of Urban Design, 28(3), 321–340. https://doi.org/10.1080/13574809.2023.1234567
Wali Kota Bandung. (2023). Keputusan Wali Kota Bandung Nomor 973/Kep.2588-Bapenda/2023 tentang Penyesuaian Nilai Jual Objek Pajak sebagai Dasar Pengenaan Pajak Bumi dan Bangunan. Pemerintah Kota Bandung.
Wali Kota Bandung. (2024). Peraturan Wali Kota Bandung Nomor 29 Tahun 2024 tentang Rencana Detail Tata Ruang Kota Bandung Tahun 2024-2044. Pemerintah Kota Bandung.
Wen, H., & Tao, Y. (2015). Polycentric urban structure and housing price in the case of Shanghai. Habitat International, 46, 138–146. https://doi.org/10.1016/j.habitatint.2014.11.007
Wibisono, B., & Hidayat, F. (2022). Pendekatan Hedonic Pricing Model dengan Geographically Weighted Regression untuk penilaian properti perkotaan. Jurnal Ekonomi dan Kebijakan Publik, 15(2), 112–130. https://doi.org/10.22146/jekp.67890
Zhang, W., & Li, W. (2021). Spatial bootstrap methods for urban and regional analysis: A review and application. Journal of Geographical Systems, 23(4), 487–510. https://doi.org/10.1007/s10109-021-00357-3
Zhang, Y., & Chen, X. (2022). Cultural economy and the transformation of a polycentric CBD: The case of Shanghai. Cities, 124, 103567. https://doi.org/10.1016/j.cities.2022.103567
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