The Risk Assessment of Multi Hazard Area: A Case of Mitigation Consider in Spatial Planning of Bukittinggi City

https://doi.org/10.22146/ijg.33298

Firmansyah Firmansyah(1*), Deden Syarifudin(2), Jajan Rohjan(3)

(1) Department of Urban and Regional Planning, Faculty of Engineering, Universitas Pasundan
(2) Department of Urban and Regional Planning, Faculty of Engineering, Universitas Pasundan
(3) Department of Urban and Regional Planning, Faculty of Engineering, Universitas Pasundan
(*) Corresponding Author

Abstract


The city of Bukittinggi in West Sumatra Province is geographically prone to multi hazard. The located along the active fault line of Sumatra namely Ngarai Sianok that shifted eleven centimeters per year, which is surrounded by two volcanoes, namely Mount Singgalang and Mount Marapi. Looking at the potential of multihazard disasters, this study aims to analyze the multi-disaster that is the input for development policy. The method used to assess factors with Davidson standardization model and superimpose. To obtain the level of importance of disaster risk factors used weighting by using analytical hierarchy process method by expert judgement. The study results show areas at high risk for earthquake, landslide, fire and flood disasters and disaster mitigation measures to reduce risks to hazard, vulnerability and resilience factors. Contribution in this reseach that spatial multi-hazard consideration should be undertaken as a consideration of development policies in order to reduce disaster risk.

Keywords


risk assessment; multihazard; mitigation; spatial planning

Full Text:

PDF


References

Awotona, A. (1997). Reconstruction after disaster: issues and practices. Ashgate Publishing. Andriani, L. (2013). Social Capital: a Road Map of Theoretical Frameworks and Empirical Limitations (BWPMA 1301 Social). London. Ayyub, B. M. (2014). Systems Resilience for Multihazard Environments: Definition, Metrics, and Valuation for Decision Making. Risk Analysis, 34(2), 340–355. https://doi.org/10.1111/risa.12093 Bathrellos, G. D., Skilodimou, H. D., Chousianitis, K., Youssef, A. M., & Pradhan, B. (2017). Suitability estimation for urban development using multi-hazard assessment map. Science of The Total Environment, 575, 119–134. https://doi.org/10.1016/j.scitotenv.2016.10.025 Benton, R. A. (2016). Uniters or dividers? Voluntary organizations and social capital acquisition. Social Networks, 44, 209–218. https://doi.org/10.1016/j.socnet.2015.09.002 Berke, P. R., & Campanella, T. J. (2006). Planning for postdisaster resiliency. The Annals of the American Academy of Political and Social Science, 604(1), 192-207. Borg, R. P., Indirli, M., Romagnoli, F., Rochas, C., & Kuzņecova, T. (2014). The ANDROID Case Study; Venice and its Territory: Vulnerability and Resilience in Multi-hazard Scenarios. Procedia Economics and Finance, 18(September), 825–836. https://doi.org/10.1016/S2212-5671(14)01008-9 Carrasco, M. A., & Bilal, U. (2016). A sign of the times: To have or to be? Social capital or social cohesion? Social Science & Medicine, 159, 127–131. https://doi.org/10.1016/j.socscimed.2016.05.012 Campanella, Thomas J. and Godschalk, David R (2012). Resilience. the Oxford Handbook of Urban Planning. Weber, Rachel and Crane, Randall. Oxfor: Oxfor University Press. Carter, N. W. (2008). Disaster management: A disaster manager’s handbook. Asian Development Bank. Asian Development Bank. Retrieved from bases.bireme.br VN - readcube.com Collins, M. L., & Kapucu, N. (2008). Early warning systems and disaster preparedness and response in local government. Disaster Prevention and Management: An International Journal, 17(5), 587–600. https://doi.org/10.1108/09653560810918621 Fu, Q. (2004). Trust, Social Capital, and Organizational Effectiveness. Blacksburg, VA. Fuchs, S., Keiler, M., & Zischg, A. (2015). A spatiotemporal multi-hazard exposure assessment based on property data. Natural Hazards and Earth System Science, 15(9), 2127–2142. https://doi.org/10.5194/nhess-15-2127-2015 Garcia-Aristizabal, A., Bucchignani, E., Palazzi, E., D’Onofrio, D., Gasparini, P., & Marzocchi, W. (2015). Analysis of non-stationary climate-related extreme events considering climate change scenarios: an application for multi-hazard assessment in the Dar es Salaam region, Tanzania. Natural Hazards, 75(1), 289–320. https://doi.org/10.1007/s11069-014-1324-z Gey, A. (2014). Urban-nature relationships in urban planning foresight in Europe: contributions from the Concours Internationale du Grand Paris. Town Planning Review, 85(5), 589–616. https://doi.org/10.3828/tpr.2014.36 Ghermandi, L., Beletzky, N. A., de Torres Curth, M. I., & Oddi, F. J. (2016). From leaves to landscape: A multiscale approach to assess fire hazard in wildland-urban interface areas. Journal of Environmental Management, 183, 925–937. https://doi.org/10.1016/j.jenvman.2016.09.051 Hemingway, R., & Gunawan, O. (2018). The Natural Hazards Partnership: A public-sector collaboration across the UK for natural hazard disaster risk reduction. International Journal of Disaster Risk Reduction, 27, 499–511. https://doi.org/10.1016/j.ijdrr.2017.11.014 Jaimes, M. A., Reinoso, E., & Esteva, L. (2015). Risk Analysis for Structures Exposed to Several Multi-Hazard Sources. Journal of Earthquake Engineering, 19(2), 297–312. https://doi.org/10.1080/13632469.2014.962673 Jayasuriya, S., & McCawley, P. (2010). The Asian Tsunami: Aid and Reconstruction after a Disaster. (E. Elgar, Ed.) (In collabo). Massachusetts 01060: Asian Development Bank Institute. Kappes, M. S. (2011). Multi-Hazard Risk Analyses : a Concept and its Implementation. Universitat Wien. Kappes, M. S., Keiler, M., von Elverfeldt, K., & Glade, T. (2012). Challenges of analyzing multi-hazard risk: a review. Natural Hazards, 64(2), 1925–1958. https://doi.org/10.1007/s11069-012-0294-2 Kim, K., Pant, P., & Yamashita, E. (2017). Integrating travel demand modeling and flood hazard risk analysis for evacuation and sheltering. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2017.10.025 Komendantova, N., Mrzyglocki, R., Mignan, A., Khazai, B., Wenzel, F., Patt, A., & Fleming, K. (2014). Multi-hazard and multi-risk decision-support tools as a part of participatory risk governance: Feedback from civil protection stakeholders. International Journal of Disaster Risk Reduction, 8, 50–67. https://doi.org/10.1016/j.ijdrr.2013.12.006 Lin, L. (2018). Integrating a national risk assessment into a disaster risk management system: Process and practice. International Journal of Disaster Risk Reduction, 27, 625–631. https://doi.org/10.1016/j.ijdrr.2017.08.004 Lin Moe, T., & Pathranarakul, P. (2006). An integrated approach to natural disaster management. Disaster Prevention and Management: An International Journal, 15(3), 396–413. https://doi.org/10.1108/09653560610669882 Perry, R. W., & Lindell, M. K. (2008). Volcanic risk perception and adjustment in a multi-hazard environment. Journal of Volcanology and Geothermal Research, 172(3–4), 170–178. https://doi.org/10.1016/j.jvolgeores.2007.12.006 Purwandari, T., Hadi, M. P., & Kingma, N. C. (2011). a Gis Modelling Approach for Flood Hazard Assessment in Part of Surakarta City, Indonesia. Indonesian Journal of Geography, 43(1), 63–80. Retrieved from http://oaister.worldcat.org/title/gis-modelling-approach-for-flood-hazard-assessment-in-part-of-surakarta-city-indonesia/oclc/759395522&referer=brief_results Robat Mili, R., Amini Hosseini, K., & Izadkhah, Y. O. (2018). Developing a holistic model for earthquake risk assessment and disaster management interventions in urban fabrics. International Journal of Disaster Risk Reduction, 27, 355–365. https://doi.org/10.1016/j.ijdrr.2017.10.022 Röthlisberger, V., Zischg, A. P., & Keiler, M. (2017). Identifying spatial clusters of flood exposure to support decision making in risk management. Science of The Total Environment, 598, 593–603. https://doi.org/10.1016/j.scitotenv.2017.03.216 Sakijege, T. (2013). Managing Flood Risks: Lessons From Keko Machungwa Informal Settlement in Dar Es Salaam, Tanzania. IJG Indonesian Journal of Geography, 45(451), 1–14. Sanderson, D. (1997). Building Bridges to Reduce Risk. Dalam Reconstruction After Disaster: Issues and Practices. Awotona, Adenrale (ed)(1997). Thierry, P., Stieltjes, L., Kouokam, E., Nguéya, P., & Salley, P. M. (2008). Multi-hazard risk mapping and assessment on an active volcano: the GRINP project at Mount Cameroon. Natural Hazards, 45(3), 429–456. https://doi.org/10.1007/s11069-007-9177-3 van Verseveld, H. C. W., van Dongeren, A. R., Plant, N. G., Jäger, W. S., & den Heijer, C. (2015). Modelling multi-hazard hurricane damages on an urbanized coast with a Bayesian Network approach. Coastal Engineering, 103, 1–14. https://doi.org/10.1016/j.coastaleng.2015.05.006 van Westen, C. J., van Asch, T. W. J., & Soeters, R. (2006). Landslide hazard and risk zonation—why is it still so difficult? Bulletin of Engineering Geology and the Environment, 65(2), 167–184. https://doi.org/10.1007/s10064-005-0023-0 Wong, K. H., & Xie, D. (2014). Fire Safety Management Strategy of Complex Developments. Procedia Engineering, 71, 410–420. https://doi.org/10.1016/j.proeng.2014.04.059 Xu, Z., Lu, X., Cheng, Q., Guan, H., Deng, L., & Zhang, Z. (2018). A smart phone-based system for post-earthquake investigations of building damage. International Journal of Disaster Risk Reduction, 27(October), 214–222. https://doi.org/10.1016/j.ijdrr.2017.10.008 _____, (2011) Bukittinggi City Regional Regulation No. 6 of 2011 on Spatial Planning (RTRW) of Bukittinggi City. _____, (2014), Performance Report, Regional Disaster Management Agency, Bukittinggi City _____, Act Number 24 Year 2007 on disaster management.



DOI: https://doi.org/10.22146/ijg.33298

Article Metrics

Abstract views : 7537 | views : 4331

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2019 Indonesian Journal of Geography

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)

ISSN 2354-9114 (online), ISSN 0024-9521 (print)

Web Analytics IJG STATISTIC