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Spatial modelling of disaster resilience using infrastructure components of baseline resilience indicators for communities (BRIC) in Special Region of Yogyakarta
Kuscahyadi F.a, Meilano I.a, Riqqi A.a
a Geodesy and Geomatics Engineering, Institute of Technology Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]Special Region of Yogyakarta Province (DIY) is one of Indonesian regions that often harmed by varied natural disasters which caused huge negative impacts. The most catastrophic one is earthquake in May, 27th 2006 with 6.3 magnitude moment [1], evoked 5716 people died, and economic losses for Rp. 29.1 Trillion, [2]. Their impacts could be minimized by committing disaster risk reduction program. Therefore, it is necessary to measure the natural disaster resilience within a region. Since infrastructure are might be able as facilities that means for evacuations, distribute supplies, and post disaster recovery [3], this research concerns to establish spatial modelling of natural disaster resilience using infrastructure components based on BRIC in DIY Province. There are three infrastructure used in this model; they are school, health facilities, and roads. Distance analysis is used to determine the level of resilient zone. The result gives the spatial understanding as a map that urban areas have better disaster resilience than the rural areas. The coastal areas and mountains areas which are vulnerable towards disaster have less resilience since there are no enough facilities that will increase the disaster resilience.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1063/1.4987118[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]