Urban Vibrancy Sebagai Faktor Daya Tarik Kawasan Di Kecamatan Genteng, Surabaya
DOI:
https://doi.org/10.23917/sinektika.vi.4577Keywords:
Urban Vibrancy, Daya Tarik, Kernel Density Estimation (KDE), Kecamatan Genteg, SurabayaAbstract
Vibrancy menganalisis dampak positif dari kehidupan perkotaan terhadap perspektif masyarakat. Mengetahui sejauh mana kota mengalami kehidupan yang dinamis, kaya akan budaya, dan menarik. Mengacu pada tingkat aktivitas manusia dan interaksinya didalam kota. Kehidupan perkotaan didefinisikan dan diukur secara berbeda dalam literatur. Awalnya, digambarkan sebagai jumlah orang di sekitar jalan atau lingkungan. Sekarang, umumnya dikaitkan dengan intensitas aktivitas, keragaman penggunaan lahan, dan aksesibilitas. Dalam konteks penelitian ini, Urban Vibrancy dianggap sebagai faktor utama yang membentuk daya tarik suatu kawasan. Fokus penelitian adalah untuk mengidentifikasi dan menganalisis sejauh mana keberagaman dan intensitas interaksi dalam Urban Vibrancy berkontribusi terhadap daya tarik kawasan. Penelitian ini memanfaatkan sumber utama melalui data Open Street Map (OSM), data ini dapat membantu dalam menjelajahi keberagaman aktivitas di suatu wilayah. Menggunakan metode Kernel Density Estimation dan Observasi lapangan untuk menganalisis hasil. Hasilnya menunjukkan Kawasan dengan intensitas aktivitas padat dan ramai yang sebagian besar terdistribusi di area pusat kota terutama Kecamatan Genteng, Surabaya.
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References
Banet, K., Kucharski, R., & Naumov, V. (2021). Using city-bike stopovers to reveal spatial patterns of urban attractiveness. http://arxiv.org/abs/2104.04493
Barreca, A., Curto, R., & Rolando, D. (2020). Urban vibrancy: An emerging factor that spatially influences the real estate market. Sustainability (Switzerland), 12(1). https://doi.org/10.3390/su12010346
Botta, F., & Gutiérrez-Roig, M. (2021). Modelling urban vibrancy with mobile phone and OpenStreetMap data. PLoS ONE, 16(6 June). https://doi.org/10.1371/journal.pone.0252015
Chen, T., Hui, E. C. M., Wu, J., Lang, W., & Li, X. (2019). Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data. Habitat International, 89. https://doi.org/10.1016/j.habitatint.2019.102005
Chen, Y., Jia, B., Wu, J., Liu, X., & Luo, T. (2022). Temporal and Spatial Attractiveness Characteristics of Wuhan Urban Riverside from the Perspective of Traveling. Land, 11(9). https://doi.org/10.3390/land11091434
Collins, T., Di Clemente, R., Gutiérrez-Roig, M., & Botta, F. (2023). Spatiotemporal gender differences in urban vibrancy. Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/23998083231209073
Fu, R., Zhang, X., Yang, D., Cai, T., & Zhang, Y. (2021). The relationship between urban vibrancy and built environment: An empirical study from an emerging city in an arid region. International Journal of Environmental Research and Public Health, 18(2), 1–21. https://doi.org/10.3390/ijerph18020525
Guo, Y., Wang, Z., Shen, L., Cui, X., & Tian, F. (2022). Intergenerational differences in the urban vibrancy of TOD: Impacts of the built environment on the activities of different age groups.
Heryana, A. (2018). Informan dan Pemilihan Informan dalam Penelitian Kualitatif.
INFORMASI KINERJA PENGELOLAAN LINGKUNGAN HIDUP 2. (n.d.).
Kecamatan Genteng Dalam Angka 2023. (n.d.).
Korem. (2023). Point of Interest (POI). Https://Www.Korem.Com/Dictionary/Point-of-Interest-Poi/.
Li, S., Wu, C., Lin, Y., Li, Z., & Du, Q. (2020). Urban morphology promotes urban vibrancy from the spatiotemporal and synergetic perspectives: A case study using multisource data in Shenzhen, China. Sustainability (Switzerland), 12(12). https://doi.org/10.3390/SU12124829
McCormack, G. R., Nesdoly, A., Ghoneim, D., & McHugh, T. L. (2022). ‘Cul-de-sacs make you fat’: homebuyer and land developer perceptions of neighbourhood walkability, bikeability, livability, vibrancy, and health. Cities and Health, 6(4), 765–776. https://doi.org/10.1080/23748834.2021.1979759
Meng, Y., & Xing, H. (2019). Exploring the relationship between landscape characteristics and urban vibrancy: A case study using morphology and review data. Cities, 95. https://doi.org/10.1016/j.cities.2019.102389
Ouyang, J., Fan, H., Wang, L., Zhu, D., & Yang, M. (2022). Revealing urban vibrancy stability based on human activity time-series. Sustainable Cities and Society, 85. https://doi.org/10.1016/j.scs.2022.104053
Sevtsuk, A. (2014). Location and Agglomeration: The Distribution of Retail and Food Businesses in Dense Urban Environments. Journal of Planning Education and Research, 34(4), 374–393. https://doi.org/10.1177/0739456X14550401
Wang, P., Liu, K., Wang, D., & Fu, Y. (2021). Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data. Frontiers in Big Data, 4. https://doi.org/10.3389/fdata.2021.690970
Wu, C., Ye, X., Ren, F., & Du, Q. (2018). Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China. Cities, 77, 104–116. https://doi.org/10.1016/j.cities.2018.01.017
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