DEVELOPMENT OF A LOCAL SCALE TSUNAMI VULNERABILITY ASSESSMENT MODEL IN COASTAL AREAS AS A BASIS FOR CONSIDERATION OF MITIGATION EFFORTS IN COASTAL SPATIAL PLANNING DOCUMENTS (CASE STUDY: KULON PROGO AEROTROPOLIS AREA)
Indonesia, as an archipelagic country with the longest coastline in the world, holds significant potential in social, cultural, economic, and environmental aspects. However, Indonesia's coastal areas are highly vulnerable to natural disasters, especially tsunamis, due to its geographic locat...
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Format: | Theses |
Language: | Indonesia |
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Online Access: | https://digilib.itb.ac.id/gdl/view/83356 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Indonesia, as an archipelagic country with the longest coastline in the world,
holds significant potential in social, cultural, economic, and environmental
aspects. However, Indonesia's coastal areas are highly vulnerable to natural
disasters, especially tsunamis, due to its geographic location at the convergence
of four major tectonic plates, which increases the risk of earthquakes that can
trigger tsunamis. Despite the high risk, coastal areas remain strategically
important. Current tsunami vulnerability assessment methods do not
comprehensively consider coastal physical aspects and are not fully integrated
into spatial planning documents. This study aims to develop a more
comprehensive tsunami vulnerability assessment model and integrate it into
spatial planning documents to enhance disaster mitigation efforts in Indonesian
coastal areas, particularly around Yogyakarta International Airport. This
research focuses on the Aerotropolis area in Kulon Progo Regency, which is one
of Indonesia's National Strategic Projects. The analysis covers various aspects
affecting tsunami vulnerability, including physical, building/infrastructure,
economic, social, and environmental aspects. The study employs a vulnerability
assessment model with variables and indicators identified through literature
review. Data used include spatial data, field observations, and spatial planning
documents. Data normalization is performed by classifying data into three
vulnerability categories (low, medium, and high) with a scale of 1-3. The research
findings indicate that: (1) the physical aspect shows that low vulnerability
category dominates the area, indicating less vulnerable physical characteristics;
(2) the building/infrastructure aspect shows that most of the area has buildings
and infrastructure that are not highly vulnerable; (3) the economic aspect shows
that the high vulnerability category dominates the area, indicating that areas with
significant economic activity are highly vulnerable; (4) the social aspect shows
that the non-vulnerable category dominates the area, but there are areas with
high population and tourist density; (5) the environmental aspect shows that theiv
high vulnerability category dominates the area, highlighting the importance of
vegetation as natural protection. The integration of tsunami vulnerability
assessment into the Rencana Detail Tata Ruang (RDTR) still needs improvement
to reduce disaster risk in the Aerotropolis area of Kulon Progo Regency. This
research provides a foundation for developing a more comprehensive
vulnerability assessment model and better integration into spatial planning to
enhance tsunami disaster mitigation efforts in Indonesia. |
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