DOI: https://doi.org/10.14710/jpk.13.2.180-193

FAKTOR-FAKTOR DALAM PENGUKURAN INTEGRASI FISIK TANGGUH: STUDI KASUS ROXY, JAKARTA

*Stephen Angga Budi Santosa  -  Program Studi Perencanaan Wilayah dan Kota, Fakultas Desain dan Perencanaan Berkelanjutan, Universitas Agung Podomoro, Jakarta, Indonesia
Angrenggani Pramitasari  -  Program Studi Perencanaan Wilayah dan Kota, Fakultas Desain dan Perencanaan Berkelanjutan, Universitas Agung Podomoro, Jakarta, Indonesia
Open Access Copyright (c) 2025 Stephen Angga Budi Santosa, Angrenggani Pramitasari

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Abstract

Seiring dengan pembangunan MRT Lin Barat-Timur Jakarta, kawasan Roxy, sebagai salah satu kawasan yang dilintasi, berpotensi menjadi pusat integrasi antarmoda. Tingginya permintaan serta intensitas bangkitan dan tarikan kawasan menimbulkan urgensi integrasi fisik antarmoda. Akan tetapi, integrasi ini perlu memperhatikan aspek ketangguhan seiring dengan keterbatasan penataan kawasan dan alternatif moda. Penelitian ini bertujuan mengidentifikasi faktor untuk mengukur integrasi fisik tangguh, yang berfokus pada kawasan Roxy, Jakarta, melalui pengolahan pemetaan pada GIS, berupa analisis spasial dasar, network analysis, dan hotspot analysis, dengan skor 1-5 pada setiap indikator. Penelitian ini menemukan sepuluh variabel sebagai faktor pengukuran yang terbagi dalam kaidah fisik dan kaidah tangguh. Kondisi eksisting menunjukkan variabel kaidah fisik, terutama kedekatan, bernilai tinggi di sekitar rencana stasiun, sedangkan variabel kaidah tangguh terkonsentrasi pada koridor jalan arteri, terutama Jalan Kyai Tapa – K.H. Hasyim Ashari. Kerangka variabel ini menjadi dasar analisis potensi integrasi fisik tangguh pada penelitian lanjutan.

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Keywords: Integrasi Fisik; Intermoda; Ketangguhan Transportasi Umum; Transportasi Umum
Funding: Nilam Atsirina Krisnaputri, Podomoro University; Vidya Trisandini Azzizi, Podomoro University; Rahmatyas Aditantri, Podomoro Univeristy

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  1. Bergantino, A. S., Gardelli, A., & Rotaris, L. (2024). Assessing transport network resilience: empirical insights from real-world data studies. Transport Reviews, 44(4), 834-857. doi: 10.1080/01441647.2024.2322434
  2. Boura, G., & Ferguson, N. S. (2024). Incorporating geographic interdependencies into the resilience assessment of multimodal public transport networks. Journal of Transport Geography, 118, 103934. doi: https://doi.org/10.1016/j.jtrangeo.2024.103934
  3. Chen, E., Stathopoulos, A., & Nie, Y. (2022). Transfer station choice in a multimodal transit system: An empirical study. Transportation Research Part A: Policy and Practice, 165, 337-355. doi: https://doi.org/10.1016/j.tra.2022.09.014
  4. Direktorat Jenderal Perkeretaapian Kementerian Perhubungan. (2023). Environmental Impact Analysis Mass Rapid Transit (MRT) East - West Line Phase 1 Stage 1. Direktorat Jenderal Perkeretaapian Kementerian Perhubungan
  5. Ge, L., Voß, S., & Xie, L. (2022). Robustness and disturbances in public transport. Public Transport, 14(1), 191-261. doi: 10.1007/s12469-022-00301-8
  6. Gonçalves, L. A. P. J., & Ribeiro, P. J. G. (2020). Resilience of urban transportation systems. Concept, characteristics, and methods. Journal of Transport Geography, 85, 102727. doi: https://doi.org/10.1016/j.jtrangeo.2020.102727
  7. Gumbo, T., Moyo, T., Ndwandwe, B., Risimati, B., & Mbatha, S. G. (2022). Integration of Urban Mobility Systems in the Gauteng City Region. In T. Gumbo, T. Moyo, B. Ndwandwe, B. Risimati, & S. G. Mbatha (Eds.), Urban Public Transport Systems Innovation in the Fourth Industrial Revolution Era: Global South Perspectives, Reflections and Conjectures (pp. 87-95). Cham: Springer International Publishing
  8. Haris, W., Malkhamah, S., & Suparma, L. B. (2024). Analysis of Service Performance for Intermodal Facilities in the Area of Asrama Haji and Bumi Sriwijaya Stations. INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur, 20(1), 75-85. doi: https://doi.org/10.21831/inersia.v20i1.64153
  9. Holling, C. S. (1973). Resilience and Stability of Ecological Systems. Annual Review of Ecology, Evolution, and Systematics, 4(Volume 4, 1973), 1-23. doi: https://doi.org/10.1146/annurev.es.04.110173.000245
  10. Irwan, N. P. (2023). Penentuan potensi pengembangan kawasan berorientasi transit di sekitar titik transit MRT Jakarta. Jurnal Transportasi, 23(1), 53-70. doi: https://doi.org/10.26593/jtrans.v23i1.6689.53-70
  11. Jiao, L., Zhu, Y., Huo, X., Wu, Y., & Zhang, Y. (2023). Resilience assessment of metro stations against rainstorm disaster based on cloud model: a case study in Chongqing, China. Natural Hazards, 116(2), 2311-2337. doi: 10.1007/s11069-022-05765-2
  12. Li, C., & Chen, L. (2025). Exploring the impact of built environment on crash risks at transportation hubs. Accident Analysis & Prevention, 218, 108079. doi: https://doi.org/10.1016/j.aap.2025.108079
  13. Li, J.-Y., Teng, J., & Wang, H. (2024). Measuring route diversity in spatial and spatial-temporal public transport networks. Transport Policy, 146, 42-58. doi: https://doi.org/10.1016/j.tranpol.2023.11.008
  14. Liu, Y., Ding, X., & Ji, Y. (2023). Enhancing Walking Accessibility in Urban Transportation: A Comprehensive Analysis of Influencing Factors and Mechanisms. Information, 14(11), 595. Retrieved from doi: 10.3390/info14110595
  15. Meng, Y., Zhao, X., Liu, J., & Qi, Q. (2023). Dynamic Influence Analysis of the Important Station Evolution on the Resilience of Complex Metro Network. Sustainability, 15(12), 9309. Retrieved from doi: 10.3390/su15129309
  16. Nikitas, A., Alyavina, E., Sadik, C., & Michalakopoulou, K. (2025). Decoding mobility hubs: Opportunities and risks underpinning their introduction for the contexts of transport and the wider society. Journal of Transport Geography, 127, 104296. doi: https://doi.org/10.1016/j.jtrangeo.2025.104296
  17. Peraturan Presiden Nomor 55 Tahun 2018 tentang Rencana Induk Transportasi Jabodetabek
  18. Qi, Q., Meng, Y., Zhao, X., & Liu, J. (2022). Resilience Assessment of an Urban Metro Complex Network: A Case Study of the Zhengzhou Metro. Sustainability, 14(18), 11555. Retrieved from doi: 10.3390/su141811555
  19. Serdar, M. Z., Koç, M., & Al-Ghamdi, S. G. (2022). Urban Transportation Networks Resilience: Indicators, Disturbances, and Assessment Methods. Sustainable Cities and Society, 76, 103452. doi: https://doi.org/10.1016/j.scs.2021.103452
  20. Setiawan, D., Priyanto, S., & Amrozi, M. R. F. (2024). Integration of public transport systems for enhanced passenger mobility: a systematic review. International Journal of Transport Development and Integration, 8(1). doi: https://doi.org/10.18280/ijtdi.080110
  21. Wagistina, S., Syafitri, D. R., Lestari, J. S., Amanatinismi, K. H., Setiawan, D., & Ramadhani, S. (2022). Service Area Network Analysis for Location Planning of Microbusiness and Local Franchise in Urban Area: A Case Study in Malang City, East Java Provence, Indonesia. Economies, 10(5), 103. Retrieved from doi: 10.3390/economies10050103
  22. Wen, X., Si, B., Wei, Y., & Cui, H. (2025). Resilience assessment of urban rail transit systems: a literature review. Public Transport, 17(3), 657-681. doi: 10.1007/s12469-024-00385-4
  23. Wu, P., Xu, L., Zhong, L., Gao, K., Qu, X., & Pei, M. (2022). Revealing the determinants of the intermodal transfer ratio between metro and bus systems considering spatial variations. Journal of Transport Geography, 104, 103415. doi: https://doi.org/10.1016/j.jtrangeo.2022.103415
  24. Xu, Z., & Chopra, S. S. (2023). Interconnectedness enhances network resilience of multimodal public transportation systems for Safe-to-Fail urban mobility. Nature Communications, 14(1), 4291. doi: 10.1038/s41467-023-39999-w
  25. Yandito, M. M. (2019). Model Pilihan Penumpang Angkutan Kota Dan Kereta Rel Listrik di Jakarta. Jurnal Transportasi, 19(1), 39-48. doi: https://doi.org/10.26593/jtrans.v19i1.3261.39-48
  26. Yosritzal, Purnawan, & Hidayat, E. O. (2023). Physical integration of the existing condition of intermodal public transportation transfer points in Padang City, Indonesia. Paper presented at the E3S Web of Conferences
  27. Zhang, J., Ren, G., & Song, J. (2023). Resilience-based optimization model for emergency bus bridging and dispatching in response to metro operational disruptions. PLoS one, 18(3), e0277577. doi: https://doi.org/10.1371/journal.pone.0277577

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