Lokasi CBD (Central Business District) pada Wilayah Kota Manado
Kata Kunci:
Lokasi, Komersial, CBD, Night Time LightsAbstrak
Kawasan komersial atau pusat bisnis di Kota Manado telah mengalami pergeseran ke wilayah baru di kawasan reklamasi. Pergeseran kawasan komersial ini menarik untuk dilakukan kajian guna mengetahui lokasi pusat bisnis yang baru. Tujuan utama penelitian ini adalah untuk mengidentifikasi lokasi CBD ((Central Business District) pada wilayah Kota Manado. Menggunakan alat analis statistik deskriptif, penelitian ini menjelaskan identifikasi lokasi CBD. Metode identifikasi lokasi CBD menggunakan teori lokasi tanah dan aplikasi teknologi digital pencahayaan di waktu malam hari (Night Time Lights). Hasil penelitian menunjukkan bahwa lokasi CBD berada kawasan komersial meliputi kawasan Megamall Manado, dan kawasan Megamall Manado, serta kawasan Manado Town Square, yang secara administratif berada pada Kecamatan Wenang dan Kecamatan Sario, dan dikenal dengan kawasan Boulevard. Harga tanah pada kawasan CBD secara statistik rata-rata sebesar 7.416.088,00 rupiah per meter persegi (ceteris paribus).
Referensi
[1] Abdullah, H.M., Ibrahim, M.A., & Hinkawi, W.S., (2023). The Impact of Urban Street Network on Land Value: Correlate Syntactical Premises to the Land Price. Buildings 2023, 13, 1610. https://www.mdpi.com/journal/buildings
[2] Amarrohman, F. J., Wahyuddin, Y., & Patricia, E. (2023). Analysis of Land Value in The Area Surrounding The Central Business District (CBD) of Simpang Lima, Semarang City Using Geographically Weighted Regression (GWR). Journal Of Applied Geospatial Information, 7(2).
[3] Asadieh, B., & Neisch, P. M. (2024). From The City to The Suburb: City Dynamics in The Time of a Polycrisis. Sustainability 2024, 16, 10809. https://www.mdpi.com/journal/sustainability
[4] Bagchi-Sen, S., & Smith, H. L. (2006). Economic Geography: Past, Present And Future. Routledge. Oxon.
[5] Chin, W.. C.B., Fu, Y., Lim, K. H., Schroepfer, T., & Cheah, L. (2024). Identifying Urban Functional Zones by Analysing The Spatial Distribution of Amenities. EPB: Urban Analytics and City Science, 51(6) 1274–1289.
[6] Deviantari, U.W., Budisusanto, Y., & Majdi, N. (2017). Pemanfaatan Peta Kontur Zona Nilai Tanah Pada Data Nilai Jual Objek Pajak Tahun 2015 Untuk Identifikasi Lokasi Cetral Bussiness District (Studi Kasus: UPTD 8 Kota Surabaya). Geoid 12 (2), 168-172.
[7] Duan, X. Hu, Q., Zhao, P., Wang, S., & Ai, M. (2020). An Approach of Identifying and Extracting Urban Commercial Areas Using the Nighttime Lights Satellite Imagery. Remote Sens. 2020, 12, 1029. www.mdpi.com/journal/remotesensing
[8] Evans, A.W. (2004). Economics And Land Use Planning. Blackwell Publishing Ltd. Oxford.
[9] Fujita, M. (1989). Urban Economic Theory: Land Use And City Size. Cambridge University Press. Cambridge.
[10] Furlan, R., Awwaad,R., Alrababaa, A., & Ibrahim, H. (2025). The Transformation of West Bay Area, Doha’s Business Center, Through Transit-Oriented Development. Sustainability 2025, 17, 9154. https:// doi.org/10.3390/su17209154
[11] Haila, A. (2016). Urban Land Rent: Singapore As A Property State. John Wiley & Sons Ltd. Chichester.
[12] Hanink, D. M. (1997). Principles And Applications Of Economic Geografi: Economy, Policy, Environment, John Wiley & Sons Inc. New Jersey.
[13] Harvey, J. (1996). Urban Land Economics Fourth Edition. Macmillan Press Ltd. London.
[14] Hu, X., Zhang, G., Shi, Y., & Yu, P. (2024). How Information and Communications Technology Affects the Micro-Location Choices of Stores on On-Demand Food Delivery Platforms: Evidence from Xinjiekou’s Central Business District in Nanjing. International Journal of Geo-Information, 2024, 13, 44. https://www.mdpi.com/journal/ijgi
[15] Jie, N., Cao, X., Chen, J., and Chen, X. (2023). A New Method for Identifying the Central Business Districts with Nighttime Light Radiance and Angular Effects. Remote Sens. 2023, 15, 239. https://www.mdpi.com/journal/remotesensing
[16] Jie, N., Cao, X., & Zhu, Li. (2024). Identifying the Central Business Districts of Global Megacities Using Nighttime Light Remote Sensing Data. International Journal of Digital Earth, 17(1), 2356118. https://doi.org/10.1080/17538947.2024.2356118
[17] Kahn, M. E. (2023). An Introduction To Urban Economics. University of Southern California.
[18] Lusht, K.M. (1997). Real Estate Valuation: Principles And Applications. Irwin. Cicago.
[19] Ma, Z., & Huang, Y. (2024). Knowledge-Intensive Business Services: A Case Study of Wuhan Metropolitan Area, China. Sustainability 2024, 16, 1110. https://www.mdpi.com/journal/sustainability
[20] Munanda, T. W., Murdapa, F. & Dewi, C. (2022). Perubahan Peta Zona Nilai Tanah (ZNT) di Kecamatan Sukarame Kota Bandar Lampung. Journal of Geodesy and Geomatics, 2 (1), 10-19.
[21] Paimana, J. G., Kindangenb, J. I., & Prijadic, R. (2024). Kajian Intensitas Pemanfaatan Ruang di Kecamatan Wenang. Sabua, 13 (2), 21 – 30.
[22] Pangkey, O., Tilaar, S. & Supardjo, S. (2018). Komparasi Harga Lahan Berdasarkan Fungsi Kawasan Di Kota Manado. Jurnal Spasial 5 (3), 377-385.
[23] Pareek, S., & Kumar, M. (2024). Factors Affecting Land Value of Urban Voids in Western Part of India. Journal of Engineering and Applied Science, 2024, 71, 44. https://doi.org/10.1186/s44147-024-00360-7
[24] Wijdania, N., Rahayu, P., & Hardiana, A. (2023) Kawasan Perdagangan - Jasa Solo Baru sebagai Central Business District di Kabupaten Sukoharjo. Region: Jurnal Pembangunan Wilayah dan Perencanaan Partisipatif, 18(1), 1-16.
[25] Xia, T., Chen, Y., Gao, F., Chow, Y.T.H., Zhang, J. & Keung, K.L. (2025). Decoding Retail Commerce Patterns with Multisource Urban Knowledge. Math. Comput. Appl. 2025, 30, 75. https://doi.org/10.3390/ mca30040075
[26] Yao, H., & Zhang, G. (2024). A Review of Commercial Geography: Theoretical Foundations, Practical Applications, and Prospects. Geographical Research Bulletin, 3, 183-214.
[27] Zhang, Y., Chen, G., & Yang, X. (2025). Research on The Evolution Characteristics of Building Space in The Central Urban Area of Tianjin Based on Multi-Source Data Collaboration: 2021–2024. Buildings 2025, 15, 1142. https://doi.org/10.3390/buildings15071142
[28] Zhou, L., Shi, Y., & Zhen, A. (2021). Business Circle Identification and Spatiotemporal Characteristics in the Main Urban Area of Yiwu City Based on PO Iand Night-Time Light Data. Remote Sens. 2021, 13, 5153. https://www.mdpi.com/journal/remotesensing
