Application of Agent-Based Model Simulation for Tsunami Evacuation in Pacitan, Indonesia

Usman, Fadly; Murakami, Keisuke; Wicaksono, Agus Dwi; Setiawan, Eko

doi:10.1051/matecconf/20179701064

Cited by 19 publications

(8 citation statements)

References 12 publications

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“…Pembagian waktu evakuasi menjadi 10, 15, dan 20 menit bertujuan untuk menentukan cakupan area dari setiap shelter temporal berdasarkan waktu tempuh evakuasi. Untuk analisis menggunakan model berbasis agen, beberapa variabel penting seperti jalan eksisting, distribusi shelter, dan luas pemukiman (Usman et al, 2017).…”

Section: Hasil Dan Pembahasanunclassified

Platform Digital sebagai Perangkat Mitigasi Bencana Erupsi Gunung Bromo dan Media Promosi Wisata

Usman

Rozikin²,

Wijayanti³

et al. 2022

tekad

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Gunung Bromo di Jawa Timur, Indonesia adalah salah satu tujuan wisata paling populer bagi wisatawan lokal dan mancanegara. Penelitian dilakukan di Kecamatan Sukapura yang mana beberapa desa dijadikan sebagai tempat transit sebelum mengungsi ke tempat yang aman saat erupsi Gunung Bromo. Platform digital dihadirkan tidak hanya sebagai sarana bagi wisatawan untuk mendapatkan informasi wisata, juga sebagai sarana evakuasi. Ada empat tahapan yang dilakukan dalam penelitian ini, yaitu identifikasi tempat evakuasi sementara, identifikasi jalur evakuasi, sosialisasi kepada warga sekitar mengenai platform digital, kegiatan partisipasi masyarakat dan pembuatan website siaga bencana. Hasil analisis terkait kesiapan warga setempat dalam menggunakan platform digital menunjukkan bahwa mereka sangat antusias dengan adanya aplikasi smartphone sebagai layanan digital untuk mendapatkan informasi seputar pariwisata. Hasil sebaran bangunan evakuasi sementara dan jalur evakuasi yang dapat digunakan sebagai tempat transit menunjukkan perlunya penambahan bangunan evakuasi sementara saat terjadi erupsi.

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Section: Hasil Dan Pembahasanunclassified

Platform Digital sebagai Perangkat Mitigasi Bencana Erupsi Gunung Bromo dan Media Promosi Wisata

Usman

Rozikin²,

Wijayanti³

et al. 2022

tekad

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“…The constraint of (5) guarantees that each evacuee i must be allocated to one refuge. Since the overflow evacuees will be required to move to other refuges [49], such overflow conditions are prohibited by (6), which indicates that the number of evacuees assigned to each refuge does not exceed the corresponding capacity.…”

Section: First Step: Maximization Of Average Route Reliability Among mentioning

confidence: 99%

Capacitated Refuge Assignment for Speedy and Reliable Evacuation

Hara

Sasabe

Matsuda

et al. 2020

IJGI

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When a large-scale disaster occurs, each evacuee should move to an appropriate refuge in a speedy and safe manner. Most of the existing studies on the refuge assignment consider the speediness of evacuation and refuge capacity while the safety of evacuation is not taken into account. In this paper, we propose a refuge assignment scheme that considers both the speediness and safety of evacuation under the refuge capacity constraint. We first formulate the refuge assignment problem as a two-step integer linear program (ILP). Since the two-step ILP requires route candidates between evacuees and their possible refuges, we further propose a speedy and reliable route selection scheme as an extension of the existing route selection scheme. Through numerical results using the actual data of Arako district of Nagoya city in Japan, we show that the proposed scheme can improve the average route reliability among evacuees by 13.6% while suppressing the increase of the average route length among evacuees by 7.3%, compared with the distance-based route selection and refuge assignment. In addition, we also reveal that the current refuge capacity is not enough to support speedy and reliable evacuation for the residents.

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“…A machine learning-based computer model for the assessment of tsunami … (Sri Yulianto Joko Prasetyo) 1139 Indo-Australian plates which have the potential to cause large earthquakes and trigger tsunami waves from the Sunda Strait to Bali [11]- [18]. In terms of seismotectonic zones in Indonesia, the coastal areas of Central Java and Yogyakarta are included in the zone B with an intensity of tsunami events of more than 2.5 times in a period of 30-50 years.…”

Section: Introductionmentioning

confidence: 99%

A machine learning-based computer model for the assessment of tsunami impact on built-up indices using 2A Sentinel imageries

Joko Prasetyo,

Simanjuntak,

Susatyo

et al. 2024

Bulletin EEI

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This study aims to build a computer model to detect built-up land in the identified tsunami hazard zone based on Sentinel 2A imagery using the normalized built up area index (NBI), urban index (UI), normalize difference build-up index (NDBI), a modified built-up index (MBI), index-based builtup index (IBI) algorithms, optimized with machine learning Random Forest (RF) and extreme gradient boosting (XGboost) algorithms and the spatial patterns are predicted using the ordinary kriging (OK) method. Testing of the accuracy of the classification and optimization results was performed using the Kohen Kappa and overall accuracy functions. The results of the study show that a built-up land consisting of open land and water, settlements, industry areas, and agriculture and tourism areas can be identified using the parameters of built-up indices. The accuracy testings that were performed using overall accuracy and Kohen Kappa methods show that classification and prediction are highly accurate using XGboost machine learning, namely 91%. This study produces a novelty of finding, namely a computer model to detect and predict the spatial distribution of built-up land in 4 scales, i.e., very low, low, high, and very high based on NBI, UI, NDBI, MBI, IBI data extracted from Sentinel 2A imagery.

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Application of Agent-Based Model Simulation for Tsunami Evacuation in Pacitan, Indonesia

Cited by 19 publications

References 12 publications

Platform Digital sebagai Perangkat Mitigasi Bencana Erupsi Gunung Bromo dan Media Promosi Wisata

Platform Digital sebagai Perangkat Mitigasi Bencana Erupsi Gunung Bromo dan Media Promosi Wisata

Capacitated Refuge Assignment for Speedy and Reliable Evacuation

A machine learning-based computer model for the assessment of tsunami impact on built-up indices using 2A Sentinel imageries

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