MENAKAR INKLUSIVITAS KOTA DENGAN MENINJAU AKSESIBILITAS LAYANAN ESENSIAL BAGI LANSIA DI INDONESIA

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Authors

  • Annisa Dira Hariyanto PT. Sagamartha Ultima https://orcid.org/0009-0000-8588-2126
  • Firman Afrianto Mahasiswa Program Doktor Perencanaan Wilayah dan Kota Universitas Gadjahmada
  • Andini Putri Salsabillah PT. Sagamartha Ultima
  • Primastia Risang Narindra 3Jurusan Perencanaan Wilayah dan Kota, Universitas Brawijaya, Malang, Indonesia

DOI:

https://doi.org/10.36456/jpb.v4i2.8824

Keywords:

aging population, ketimpangan, inklusif, kota layak huni

Abstract

Penuaan penduduk menghadirkan tantangan penting terkait kebutuhan fasilitas kesehatan dan grocery shop bagi populasi lansia. Meskipun penelitian sebelumnya telah mengkaji dampaknya, masih terdapat kesenjangan dalam pemahaman mengenai ketimpangan dan inklusivitas lokasi fasilitas tersebut sesuai dengan persebaran lansia. Penelitian ini bertujuan untuk mengisi kesenjangan tersebut dengan memfokuskan pada penilaian ketimpangan (Gini ratio dan kurva Lorenz) dan keberlanjutan/inklusivitas (15 minutes city) fasilitas kesehatan dan grocery shop dalam melayani kebutuhan populasi lansia pada 3 Kota di Indonesia. Hasil analisis nearest neighbor menunjukkan adanya kecenderungan klasterisasi fasilitas di ketiga kota. Selanjutnya, analisis Gini ratio dan Kurva Lorenz mengungkapkan terjadinya inefisiensi akses fasilitas, di mana ineffisiensi yang tertinggi terjadi di Kota Malang (fasilitas kesehatan) dan Kota Bandung (grocery shop). Analisis isochrone menunjukkan bahwa inklusivitas tertinggi terdapat di Kota Yogyakarta dengan cakupan pelayanan fasilitas kesehatan sebesar 92,31% dan grocery shop sebesar 82,66%. Secara keseluruhan, penelitian ini menyoroti Kota Yogyakarta sebagai kota yang paling cocok bagi lansia dengan disparitas yang rendah dan inklusivitas yang tinggi, menjadikannya kota yang layak huni bagi lansia.

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References

S. Kudo, E. Mutisya, and M. Nagao, “Population aging: An emerging research agenda for sustainable development,” Soc Sci, vol. 4, no. 4, pp. 940–966, 2015, doi: 10.3390/socsci4040940.

F. Wu, H. Yang, B. Gao, and Y. Gu, “Old, not yet rich? The impact of population aging on export upgrading in developing countries,” China Economic Review, vol. 70, no. 21, p. 101707, 2021, doi: 10.1016/j.chieco.2021.101707.

B. Hofman, S. Y. Tong, and L. Zhao, “The Economic and Social Impacts of Population Ageing: China in a Global Perspective,” China: An International Journal, vol. 19, no. 3, pp. 3–7, Aug. 2021, doi: 10.1353/chn.2021.0024.

Q. Wang, X. Wang, and R. Li, “Does population aging reduce environmental pressures from urbanization in 156 countries?,” Science of the Total Environment, vol. 848, no. July, p. 157330, 2022, doi: 10.1016/j.scitotenv.2022.157330.

X. Yang, N. Li, H. Mu, M. Ahmad, and X. Meng, “Population aging, renewable energy budgets and environmental sustainability: Does health expenditures matter?,” Gondwana Research, vol. 106, pp. 303–314, 2022, doi: 10.1016/j.gr.2022.02.003.

X. Gu, M. Sun, X. Long, H. Deng, and Y. Wang, “Environmental impact of adult incontinence products in China in the context of population aging,” Science of the Total Environment, vol. 875, no. March, p. 162596, 2023, doi: 10.1016/j.scitotenv.2023.162596.

L. An, L. Ma, N. Xu, and B. Yu, “Life satisfaction, depressive symptoms, and blood pressure in the middle-aged and older Chinese population,” J Psychosom Res, vol. 170, no. 135, 2023, doi: 10.1016/j.jpsychores.2023.111367.

S. Czaja, S. Beach, N. Charness, and R. Schulz, “Older Adults and the Adoption of Healthcare Technology: Opportunities and Challenges BT - Technologies for Active Aging,” A. Sixsmith and G. Gutman, Eds., Boston, MA: Springer US, 2013, pp. 27–46. doi: 10.1007/978-1-4419-8348-0_3.

M. Fakhro, “What’s really happening among the Elderly Population?,” Gerontology & Geriatrics Studies, vol. 3, no. 3, pp. 285–286, 2018, doi: 10.31031/ggs.2018.03.000563.

Y. J. Heo, “Population aging and house prices: Who are we calling old?,” J Econ Ageing, vol. 23, no. October, p. 100417, 2022, doi: 10.1016/j.jeoa.2022.100417.

D. Mechanic, “The changing elderly population and future health care needs,” Journal of Urban Health, vol. 76, no. 1, pp. 24–38, 1999, doi: 10.1007/BF02344459.

H. Bergman et al., “Understanding and meeting the needs of the older population: A global challenge,” Canadian Geriatrics Journal, vol. 16, no. 2, pp. 61–65, 2013, doi: 10.5770/cgj.16.60.

R. Deitz and R. Garcia, “The Demand for Local Services and Infrastructure Created by an Aging Population,” Upstate New York Regional Review, vol. 2, no. 1, pp. 1–5, 2007.

W. Somsopon, S. M. Kim, V. Nitivattananon, K. Kusakabe, and T. P. L. Nguyen, “Issues and Needs of Elderly in Community Facilities and Services: A Case Study of Urban Housing Projects in Bangkok, Thailand,” Sustainability (Switzerland), vol. 14, no. 14, 2022, doi: 10.3390/su14148388.

S. R. B. L. Shrivastava, P. S. Shrivastava, and J. Ramasamy, “Health-care of elderly: Determinants, needs and services,” Int J Prev Med, vol. 4, no. 10, pp. 1224–1225, 2013.

D. E. Bloom et al., “Macroeconomic implications of population ageing and selected policy responses,” The Lancet, vol. 385, no. 9968, pp. 649–657, Feb. 2015, doi: 10.1016/S0140-6736(14)61464-1.

M. Lopreite and M. Mauro, “The effects of population ageing on health care expenditure: A Bayesian VAR analysis using data from Italy,” Health Policy (New York), vol. 121, no. 6, pp. 663–674, 2017, doi: 10.1016/j.healthpol.2017.03.015.

D. Howdon and N. Rice, “Health care expenditures, age, proximity to death and morbidity: Implications for an ageing population,” J Health Econ, vol. 57, pp. 60–74, 2018, doi: 10.1016/j.jhealeco.2017.11.001.

L. Ye, X. Zhang, and J. Geng, “Demographic transition and economic growth: Evidence from China and United States,” Int J Health Plann Manage, vol. 35, no. 1, Jan. 2020, doi: 10.1002/hpm.2911.

B. K. Panda and S. K. Mohanty, “Spatial Pattern of Population Ageing and Household Health Spending in India,” Ageing Int, vol. 47, no. 1, pp. 72–88, 2022, doi: 10.1007/s12126-020-09406-6.

D. R. Goodwin and R. E. Mcelwee, “Grocery shopping and an ageing population: research note,” The International Review of Retail, Distribution and Consumer Research, vol. 9, no. 4, pp. 403–409, Jan. 1999, doi: 10.1080/095939699342499.

E. A. Bitto, L. W. Morton, M. J. Oakland, and M. Sand, “Grocery Store Acess Patterns in Rural Food Deserts,” Journal for the Study of Food and Society, vol. 6, no. 2, pp. 35–48, Sep. 2003, doi: 10.2752/152897903786769616.

A. M. Kohijoki, “The effect of aging on consumer disadvantage in grocery retail services among the Finnish elderly,” Journal of Retailing and Consumer Services, vol. 18, no. 4, pp. 370–377, 2011, doi: 10.1016/j.jretconser.2011.04.003.

H. Matsumoto, A. Igarashi, M. Suzuki, and N. Yamamoto‐Mitani, “Association between neighbourhood convenience stores and independent living in older people in Japan,” Australas J Ageing, vol. 38, no. 2, pp. 116–123, Jun. 2019, doi: 10.1111/ajag.12607.

R. Gajda and M. Jeżewska-Zychowicz, “Elderly perception of distance to the grocery store as a reason for feeling food insecurity—can food policy limit this?,” Nutrients, vol. 12, no. 10, pp. 1–18, 2020, doi: 10.3390/nu12103191.

Y. T. Wu, A. Kingston, V. Houlden, and R. Franklin, “The longitudinal associations between proximity to local grocery shops and functional ability in the very old living with and without multimorbidity: Results from the Newcastle 85+ study,” Arch Gerontol Geriatr, vol. 101, no. February, p. 104703, 2022, doi: 10.1016/j.archger.2022.104703.

B. P. Y. Loo and W. W. Y. Lam, “Geographic Accessibility around Health Care Facilities for Elderly Residents in Hong Kong: A Microscale Walkability Assessment,” Environ Plann B Plann Des, vol. 39, no. 4, pp. 629–646, Jan. 2012, doi: 10.1068/b36146.

P. Negron-Poblete, A.-M. Séguin, and P. Apparicio, “Improving walkability for seniors through accessibility to food stores: a study of three areas of Greater Montreal,” Journal of Urbanism: International Research on Placemaking and Urban Sustainability, vol. 9, no. 1, pp. 51–72, Jan. 2016, doi: 10.1080/17549175.2014.990916.

K. Ruan and Q. Zhang, “Accessibility evaluation of high order urban hospitals for the elderly: A case study of first-level hospitals in Xi’an, China,” Symmetry (Basel), vol. 10, no. 10, 2018, doi: 10.3390/sym10100489.

L. Cheng, M. Yang, J. De Vos, and F. Witlox, “Examining geographical accessibility to multi-tier hospital care services for the elderly : A focus on spatial equity,” J Transp Health, vol. 19, no. July, p. 100926, 2020, doi: 10.1016/j.jth.2020.100926.

J. Luan, Y. Tian, C. Y. Jim, X. Liu, M. Yan, and L. Wu, “Assessing Spatial Accessibility of Community Hospitals for the Elderly in Beijing, China,” Int J Environ Res Public Health, vol. 20, no. 1, 2023, doi: 10.3390/ijerph20010890.

A. Yudono, F. Afrianto, and A. D. Hariyanto, “The Evaluation of Geographical Health Facilities Structure in Makassar City, Indonesia,” Int J Environ Res Public Health, vol. 20, no. 6, p. 5210, 2023, doi: 10.3390/ijerph20065210.

L. N. Borrell et al., “Oral health and health care for older adults: A spatial approach for addressing disparities and planning services,” Special Care in Dentistry, vol. 26, no. 6, pp. 252–256, Nov. 2006, doi: 10.1111/j.1754-4505.2006.tb01663.x.

K. J. Stoeckel and H. Litwin, “Accessibility to neighbourhood services and well-being among older Europeans,” Ageing in Europe - Supporting Policies for an Inclusive Society, pp. 39–48, 2015, doi: 10.1515/9783110444414-005.

H. C. Wu and M. H. Tseng, “Evaluating disparities in elderly community care resources: Using a geographic accessibility and inequality index,” Int J Environ Res Public Health, vol. 15, no. 7, 2018, doi: 10.3390/ijerph15071353.

P. Gong, X. Huang, C. Huang, and M. White, “Quantifing the Imbalance of Spatial Distribution of Elderly Service with Muti-source Data,” Proceedings of the 27th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1], vol. 1, pp. 455–464, 2022, doi: 10.52842/conf.caadria.2022.1.455.

X. Huang, P. Gong, and M. White, “Study on Spatial Distribution Equilibrium of Elderly Care Facilities in Downtown Shanghai,” Int J Environ Res Public Health, vol. 19, no. 13, 2022, doi: 10.3390/ijerph19137929.

C. Moreno, Z. Allam, D. Chabaud, C. Gall, and F. Pratlong, “Introducing the ‘15-minute city’: Sustainability, resilience and place identity in future post-pandemic cities,” Smart Cities, vol. 4, no. 1, pp. 93–111, 2021, doi: 10.3390/smartcities4010006.

G. Song et al., “Improving the Spatial Accessibility of Community-Level Healthcare Service toward the ‘15-Minute City’ Goal in China,” ISPRS Int J Geoinf, vol. 11, no. 8, 2022, doi: 10.3390/ijgi11080436.

A. Ramírez Saiz, D. Jiménez Martín, P. Lamíquiz, and A. Alonso, “The Level of Inclusiveness of Current 15-Minute City Models. A Qualitative Analysis on How Far City of Proximity Strategies and Design for All Are Merging,” Stud Health Technol Inform, vol. 297, pp. 288–295, 2022, doi: 10.3233/SHTI220851.

G. Pozoukidou and M. Angelidou, “Urban Planning in the 15-Minute City: Revisited under Sustainable and Smart City Developments until 2030,” Smart Cities, vol. 5, no. 4, pp. 1356–1375, 2022, doi: 10.3390/smartcities5040069.

K. Matsunaga, T. Kubota, D. Nishina, H. E. Kusuma, and U. Surahman, “Factors Affecting Quality of Life Among Residents in Major Cities of Indonesia,” Journal of Environmental Engineering (Transactions of AIJ), vol. 80, no. 711, pp. 471–480, 2015, doi: 10.3130/aije.80.471.

O. H. Lativa, W. Astuti, and H. Mukaromah, “Aksesibilitas Fisik Puskesmas Ramah Lansia Menuju Age Friendly City Kota Yogyakarta,” Desa-Kota, vol. 3, no. 1, p. 1, 2021, doi: 10.20961/desa-kota.v3i1.42692.1-16.

S. Diansari, N. Tanti, and S. Bagus, “Indonesia’s Efforts in Implementing The International Regime on Ageing Through Age-Friendly City on 2030,” 1st International Respati Health Conference (IRHC), no. July, pp. 379–385, 2019.

D. Papadias, Y. Tao, K. Mouratidis, and C. K. Hui, “Aggregate nearest neighbor queries in spatial databases,” ACM Transactions on Database Systems, vol. 30, no. 2, pp. 529–576, 2005, doi: 10.1145/1071610.1071616.

J. I. Inoue, A. Ghosh, A. Chatterjee, and B. K. Chakrabarti, “Measuring social inequality with quantitative methodology: Analytical estimates and empirical data analysis by Gini and k indices,” Physica A: Statistical Mechanics and its Applications, vol. 429, pp. 184–204, 2015, doi: 10.1016/j.physa.2015.01.082.

M. Zheng, Y. Su, H. Chenghao, Z. Yu, Y. Zheng, and Y. Wu, “Using Lorenz Curve and Gini Coefficient to Reflect the Inequality Degree of S&T Publications: An Examination of the Institutional Distribution of Publications in China and other Countries,” 2008.

J. Fellman, “Estimation of Gini coefficients using Lorenz curves,” Journal of Statistical and Econometric Methods, vol. 1, pp. 1–3, 2012.

M. Stevenson, C. Compton, and M. Van Andel, Geographic Information Systems ( GIS ) for spatial analysis of animal health data Course handbook. 2018.

L. Wang, S. He, S. Su, Y. Li, L. Hu, and G. Li, “Urban neighborhood socioeconomic status (SES) inference: A machine learning approach based on semantic and sentimental analysis of online housing advertisements,” Habitat Int, vol. 124, no. 129, 2022, doi: 10.1016/j.habitatint.2022.102572.

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Published

2024-04-30