Spatial Disparities in Jakarta’s Health and Education Infrastructures: An OpenStreetMap-Based Analysis

Zainab Ramadhanis; Anjar Akrimullah; Dewinta Heriza

doi:10.29244/jsil.10.1.139-148

Zainab Ramadhanis ⁽¹⁾, Anjar Akrimullah ⁽²⁾, Dewinta Heriza ⁽³⁾

(1) IPB University, Indonesia

(2) Department of Landscape Architecture of IPB University; Perkumpulan OpenStreetMap Indonesia, Indonesia

(3) Department of Geomatics of National Cheng Kung University, Taiwan, Province of China

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Abstract:

Jakarta, as Indonesia’s most populous megacity, had a population of 11.14 million in 2024. Covering an area of 661 square kilometers, it is also the country’s most densely populated city, with over 16,500 individuals per square kilometer. High population density brings challenges, particularly in access to essential public services like education and healthcare, which are crucial for sustainable urban development. This study examines spatial disparities in the distribution of health and educational infrastructures in Jakarta concerning population density. Through overlay analysis, two models were developed: the Educational Facilities Gaps Map and the Health Facilities Gaps Map, categorizing areas as well-served, moderately served, or underserved. The findings highlight significant disparities across Jakarta’s administrative regions. Central Jakarta has the highest accessibility, with 57.43% of its area well-served for education and 65.06% for healthcare. Conversely, North Jakarta and Kepulauan Seribu experience the most severe service gaps, with 51.92% and 100% of their areas underserved in education, and 50.20% and 85.92% in healthcare, respectively. East, South, and West Jakarta exhibit moderate service coverage, though underserved zones remain. These results emphasize the importance of strategic urban planning to improve equitable access to public services. By incorporating geospatial analysis into policymaking, decision-makers can optimize facility distribution and infrastructure development, reducing service disparities, especially in underserved areas.

References

[1] Dinas Kependudukan dan Pencatatan Sipil Provinsi DKI Jakarta. (2025, January 18). Dashboard. Accessed on https://kependudukancapil.jakarta.go.id/.
[2] Benita, F. (2023). Exploring non-mandatory travel behavior in Jakarta City: Travel time, trip frequency, and socio-demographic influences. Transportation Research Interdisciplinary Perspectives, 21, 100896. https://doi.org/10.1016/j.trip.2023.100896
[3] Setiawan, K. E., Kurniawan, A., Chowanda, A., & Suhartono, D. (2023). Clustering models for hospitals in Jakarta using fuzzy c-means and k-means. Procedia Computer Science, 216, 356–363. DOI10.1016/j.procs.2022.12.146
[4] Muhaimin, A. A., Gamal, A., Setianto, M. A. S., & Larasati, W. L. (2022). The spatial justice of school distribution in Jakarta. Heliyon, 8, e11369. DOI10.1016/j.heliyon.2022.e11369
[5] Avdic D. Improving efficiency or impairing access? Health care consolidation and quality of care: Evidence from emergency hospital closures in Sweden. J Health Econ. 2016;48: 44–60. 10.1016/j.jhealeco.2016.02.002 [published Online First: 2016/04/10].
[6] Berlin C, Panczak R, Hasler R, Zwahlen M, Swiss National Cohort Study Group. Do acute myocardial infarction and stroke mortality vary by distance to hospitals in Switzerland? Results from the Swiss National Cohort Study. BMJ Open. 2016;6(11): e013090. 10.1136/bmjopen-2016-013090 [published Online First: 2016/11/03].
[7] Shen YC, Hsia RY. Association Between Emergency Department Closure and Treatment, Access, and Health Outcomes Among Patients With Acute Myocardial Infarction. Circulation. 2016;134(20): 1595–1597. 10.1161/CIRCULATIONAHA.116.025057 [published Online First: 2016/11/25].
[8] Suaidah, L., Hutagaol, R. R., & Khairunnisa, S. S. (2023). Analisis persebaran rumah sakit umum daerah (RSUD) di Wilayah Jakarta Selatan dengan metode nearest neighbor analysis (NNA). Jurnal Sains Geografi, 1(2), 59–70. https://doi.org/10.2210/jsg.vx1ix.xxx
[9] Teeuwen, R. F. L., Milias, V., Bozzon, A., & Psyllidis, A. (2024). How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace? Landscape and Urban Planning, 245, Article 105009. https://doi.org/10.1016/j.landurbplan.2024.105009
[10] Feng, Y., & Li, W. (2024). A systematic review of urban green space use and the factors influencing its use. Sustainable Cities and Society, 85, 104463. https://doi.org/10.1016/j.scs.2024.104463
[11] Zhao, J., & Zhang, H. (2022). Evaluating the impact of urban green spaces on residential housing prices in China: Evidence from 35 major cities. Journal of Environmental Management, 320, 115833. https://doi.org/10.1016/j.jenvman.2022.115833
[12] Wang, X., & Liu, Y. (2019). Urban green space accessibility and environmental justice: A case study in Beijing, China. Landscape and Urban Planning, 191, 103625. https://doi.org/10.1016/j.landurbplan.2019.103625
[13] Zielstra, D., & Hochmair, H. H. (2022). Assessing the completeness of OpenStreetMap building data and its application for urban studies: A case study of 13,000 cities globally. Applied Geography, 141, 102676. https://doi.org/10.1016/j.apgeog.2022.102676
[14] Zhou, Q., Zhang, Y., Chang, K., & Brovelli, M. A. (2023). Assessing OSM building completeness for almost 13,000 cities globally. International Journal of Digital Earth, 16(1), 1–22. https://doi.org/10.1080/17538947.2022.2159550
[15] Ramadhanis, Z., & Hong, J. H. (2022). Towards the Quality Assessment of Volunteered Geographic Information. Taiwan Geographic Information Society Annual Meeting and Academic Symposium.
[16] Seto, K. C., Reenberg, A., Boone, C. G., et al. (2017). Urban land teleconnections and sustainability. Proceedings of the National Academy of Sciences, 114(34), 8937-8942.
[17] Craig, A. T., Beek, K., Gilbert, K., Soakai, T. S., Liaw, S. T., & Hall, J. J. (2022). Universal health coverage and the Pacific islands: an overview of senior leaders’ discussions, challenges, priorities and solutions, 2015–2020. International journal of environmental research and public health, 19(7), 4108.