SOCIAL STRUCTURE OF COMMUNITIES RESIDING IN DISASTER-PRONE AREAS: A CASE STUDY OF BUMI WARAS SUB-DISTRICT, BANDAR LAMPUNG CITY"
Keywords:
Social structure, Community, Social network analysisAbstract
The continuous increase in the population of Bandar Lampung can lead to excessive land use. This trend results in residents choosing to live in suburban areas that are vulnerable to disasters and climate change. The social bonds among individuals in the study area may encourage them to remain or stay in areas prone to tidal flooding and tsunamis. This research employs social network analysis to identify the social structure of communities residing in disaster-prone coastal areas. There are 18 communities classified into 10 types of organizations. These communities have the potential to improve their living conditions rather than merely coping with increasing disasters year by year. The kelurahan (urban village) of Bumi Waras and Kelurahan have moderate centrality values ranging from 0.34 to 0.66. Key actors, such as Tarmizi, Anang Firmansyah, and Fitriani, with high centrality, play central or key roles. In facing the risks of tidal flooding and tsunamis, enhancing community resilience is crucial, which can be achieved through physical and social approaches with an active role of the government in strengthening social bonds, improving information flow, and involving influential local actors to build comprehensive disaster resilience.
Downloads
References
Asian Cities Climate Change Resilience Network (ACCCRN). (2011). Strategi Ketahanan Kota Bandar Lampung Terhadap Perubahan Iklim 2011 – 2030.
Costa, H., Floater, G., & Finnegan, J. (2016). Climate-resilient cities. https://doi.org/10.4337/9781785360312.00018
Djalante, R., Jupesta, J., & Aldrian, E. (2021). Climate Change Research, Policy and Actions in Indonesia. https://doi.org/https://doi.org/10.1007/978-3-030-55536-8
Everett, M., & Borgatti, S. P. (2005). Ego network betweenness. Social Networks, 27(1), 31–38. https://doi.org/10.1016/j.socnet.2004.11.007
Haque, I., & Patel, P. P. (2018). Growth of metro cities in India: trends, patterns and determinants. Urban Research and Practice, 11(4), 338–377. https://doi.org/10.1080/17535069.2017.1344727
Ilmi, W. Z., Asbi, A. M., & Syam, T. (2021). Identifikasi Karakteristik Kawasan Informal Pesisir Kota Bandar Lampung dan Kerentanan terhadap Dampak Perubahan Iklim (Studi Kasus : Kelurahan Kota Karang dan Kangkung). Jurnal Pembangunan Wilayah Dan Kota, 17(2), 149–167. https://doi.org/10.14710/pwk.v17i2.33130
Jayanthakumaran, K., Verma Guanghua, R., & Wilson, W. E. (2019). Internal Migration, Urbanization, and Poverty in Asia: Dynamics and Interrelationships. https://doi.org/https://doi.org/10.1007/978-981-13-1537-4
Korom, P. (2015). Network Analysis, History of. In International Encyclopedia of the Social & Behavioral Sciences: Second Edition (pp. 524–531). Elsevier Inc. https://doi.org/10.1016/B978-0-08-097086-8.03226-8
Lohmann, R. A. (1992a). The Commons: A Multidisciplinary Approach to Nonprofit Organization, Voluntary Action, and Philanthropy. Nonprofit and Voluntary Sector Quarterly, 21(3), 309–324. https://doi.org/10.1177/089976409202100308
Lohmann, R. A. (1992b). The Commons: New Perspectives on Nonprofit Organization, Voluntary Action and Philanthropy Human Services Financial Management View project Commons Theory of Voluntary Action View project. http://works.bepress.com/rogeralohmann/3/
Morgner, C., Ambole, A., Anditi, C., & Githira, D. (2020). Exploring the Dynamics of Social Networks in Urban Informal Settlements: the Case of Mathare Valley, Kenya. Urban Forum, 31(4), 489–512. https://doi.org/10.1007/s12132-020-09389-2
Neuman, W. (2000). Social Research Methods: Qualitative and Quantitative Approaches. In Teaching Sociology (Vol. 30). https://doi.org/10.2307/3211488
O’Malley, A. J., & Marsden, P. V. (2008). The analysis of social networks. Health Services and Outcomes Research Methodology, 8(4), 222–269. https://doi.org/10.1007/s10742-008-0041-z
Shiddieqy Setatama, M., & Tricahyono, D. (n.d.). Implementasi Social Network Analysis dalam Penyebaran Country Branding “Wonderful Indonesia.” https://doi.org/10.21108/indojc.2017.22.183
Steketee, M., Miyaoka, A., & Spiegelman, M. (2015). Social Network Analysis. In International Encyclopedia of the Social & Behavioral Sciences: Second Edition (pp. 461–467). Elsevier Inc. https://doi.org/10.1016/B978-0-08-097086-8.10563-X
Tabassum, S., Pereira, F. S. F., Fernandes, S., & Gama, J. (2018). Social network analysis: An overview. In Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (Vol. 8, Issue 5). Wiley-Blackwell. https://doi.org/10.1002/widm.1256
united nation. (2018). World Urbanization Prospects 2018.
Ward, P. J., Jongman, B., Weiland, F. S., Bouwman, A., Van Beek, R., Bierkens, M. F. P., Ligtvoet, W., & Winsemius, H. C. (2013). Assessing flood risk at the global scale: Model setup, results, and sensitivity. Environmental Research Letters, 8(4). https://doi.org/10.1088/1748-9326/8/4/044019
Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences, Series Number 8) (1st ed.). Cambrige: Cambridge University Press.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Fathurrahman, Vivian Alvianti, Zenia F Saraswati, Muhammad Zainal Ibad
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
By Submitting your manuscript to our journal, your are following Copyright & License
