Tsunami evacuation modelling via micro-simulation model

Fathianpour, Azin; Evans, Barry; Jelodar, Mostafa Babaeian; Wilkinson, Suzanne

doi:10.1016/j.pdisas.2023.100277

Cited by 10 publications

(4 citation statements)

References 22 publications

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“…Selain itu, pendidikan dan sosialisasi mengenai tanda-tanda awal tsunami dan langkah-langkah yang harus diambil saat terjadi ancaman tsunami juga harus menjadi prioritas, terutama bagi komunitas yang berada di wilayah-wilayah pesisir yang berpotensi terkena dampak bencana ini (Rakuasa & Mehdila, 2023). Dalam konteks geografis, wilayah pesisir yang berdekatan dengan zona subduksi, perbatasan lempeng tektonik, atau gunung berapi yang aktif, rentan terhadap bahaya tsunami (Fathianpour et al, 2023). Oleh karena itu, analisis spasial prediksi bahaya tsunami menjadi alat penting dalam mengidentifikasi wilayah-wilayah rawan dan merencanakan tindakan pencegahan dan kesiapsiagaan yang efektif.…”

Section: Bahaya Tsunamiunclassified

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Analisis Spasial Prediksi Bahaya Tsunami di Kecamatan Salahutu Pulau Ambon

Latue,

Latue

2023

Buana j. Geografi Ekologi dan Kebencanaan

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Kecamatan Salahutu merupakan salah satu wilayah yang berpotensi dilanda tsunami. Jalur subduksi Laut Banda dan keberadaan gunung api aktid di Laut Banda menjadikan Kecamatan Salahutu sebagai salah satu daerah memiliki potensi bahaya tsunami yang tinggi. Penelitia ini bertujuan untuk Penelitian ini bertujuan untuk mengetahui tingkat bahaya tsunami dan lahan terbagun yang diprediksi terdampak tsunami di Kecamatan Salahutu, Pulau Ambon. Penelitian ini menggunakan variabel topografi, jarak dari garis pantai dan indeks kekasaran permukaan daratan yang dianalisis yang didasarkan pada Peraturan Kepala Badan Nasional Penanggulangan Bencana No.4 tahun 2012 digunakan untuk mengidentifikasi potensi bahaya tsunami di Kecamata Salahutu. Hasil pemodelan tsunami dengan skenario tinggi gelombang 5 meter menghasilkan luasan genangan seluas 371.11 ha, luas daerah terdampak tsunami pada ketinggian 10 meter seluas 839.34 ha, ketinggian tsunami 20 meter seluas 1.608, 08 ha, dan daerah terdampak tsunami dengan ketinggian gelombang 100 meter seluas 6.849,22 ha. Hasil analisis lahan terbangun terdampak tsunami pada skenario tinggi gelombang 5 meter seluas 159.88 ha, pada tsunami dengan ketinggian 10 meter lahan terbangun yang terdampak seluas 374.75 ha, pada tsunami dengan ketinggian 20 meter diprediksi lahan terbangun yang terdampak seluas 618.97 ha dan pada tsunami dengan ketinggian 100 meter diprediksi lahan terbangun yang terdampak seluas 1.200.75 ha. Secara spasial wilayah yang memiliki resiko tinggi terhadap tsunami adalah wilayah pesisir yang berhadapan dengan Laut Banda sehingga wilayah ini perlu mendapat perhatian khusus dari pemerintah Kabupaten Maluku Tengah dalam hal mitigasi bencana. Hasil penelitian yang diperoleh dapat digunakan sebagai bahan pertimbangan atau acuan dalam penyusunan kajian mitigasi bencana dalam upaya pengurangan resiko bencana tsunami di Kecamatan Salahutu, Kabupaten Maluku Tengah.

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Section: Bahaya Tsunamiunclassified

“…Permodelan tsunami adalah salah satu aspek paling penting dalam analisis prediksi bahaya tsunami (Fathianpour et al, 2023). Dengan memodelkan kemungkinan skenario gempa bumi atau letusan gunung berapi, para peneliti dapat memprediksi bagaimana gelombang tsunami akan merambat di Samudera Pasifik dan mencapai pesisir Pulau Ambon.…”

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Analisis Spasial Prediksi Bahaya Tsunami di Kecamatan Salahutu Pulau Ambon

Latue,

Latue

2023

Buana j. Geografi Ekologi dan Kebencanaan

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“…Presently, micro-level modeling methods have emerged as the primary focus of research on simulation models for emergency evacuation. Among these, discrete models such as cellular automaton models and network models are widely used [3][4][5][6][7][8][9]. Discrete model algorithms are mature, fast, and suitable for large-scale population simulation studies in a human-nature style.…”

Section: Introductionmentioning

confidence: 99%

Research on Passenger Evacuation Behavior in Civil Aircraft Demonstration Experiments Based on Neural Networks and Modeling

Feng,

You,

Chen

et al. 2024

Aerospace

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Evacuation simulation is an important method for studying and evaluating the safety of passenger evacuation, and the key lies in whether it can accurately predict personnel evacuation behavior in different environments. The existing models have good adaptability in building environments but have weaker adaptability to personnel evacuation in civil aircraft cabins with more obstacles and stronger hindrances. We target the narrow seat aisle environment on airplanes and use a BP neural network to establish a continuous displacement model for personnel evacuation. We compare the simulation accuracy of evacuation time with the social force model based on continuous displacement and further compare the similarity of personnel evacuation process behavior. The results show that both models were close to the experimental values in simulating evacuation time, while our BP neural network evacuation model based on experimental data was more accurate in predicting the personnel evacuation process, showing more realistic details such as the probability of conflicts and bottleneck evolution in the cross aisle.

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“…Numerous scholars worldwide have extensively researched aircraft cabin emergency evacuation [15][16][17][18][19][20] . In 2014, Yu, L. et al [21] incorporated passengers' essential physical attributes into the emergency evacuation model, addressing constraints of discrete models where each node accommodates a single passenger.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Evaluating Passenger Evacuation and Risk in Blended Wing Body Aircraft Using Continuous Displacement Agents

Chen,

Wang,

et al. 2024

Preprint

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In the aviation industry, ensuring efficient emergency evacuation procedures remains paramount for passenger safety. This research endeavors to investigate the evacuation efficacy of Blended Wing Body (BWB) aircraft, evaluating their operational efficiency and practicality during emergency situations through the development of a continuous displacement field evacuation model compliant with airworthiness standards. Twelve carefully constructed experiments were conducted to refine the simulation model, enabling a comprehensive evaluation of BWB aircraft evacuation performance across diverse scenarios. The findings suggest commendable evacuation performance of BWB aircraft, underscored by the significant impact of accurate crew guidance on evacuation efficiency. Furthermore, a positive correlation between Operational Performance Standards (OPS) values and evacuation duration underscores the pivotal role of evacuation protocols. Notably, BWB aircraft necessitate special consideration for scenarios involving inaccessible rear exits, unlike conventional aircraft. This study not only illuminates the strengths and limitations of BWB aircraft evacuation protocols but also furnishes actionable insights for regulatory bodies, aircraft manufacturers, and airlines to enhance emergency readiness and passenger safety.

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Tsunami evacuation modelling via micro-simulation model

Cited by 10 publications

References 22 publications

Analisis Spasial Prediksi Bahaya Tsunami di Kecamatan Salahutu Pulau Ambon

Analisis Spasial Prediksi Bahaya Tsunami di Kecamatan Salahutu Pulau Ambon

Research on Passenger Evacuation Behavior in Civil Aircraft Demonstration Experiments Based on Neural Networks and Modeling

Modeling and Evaluating Passenger Evacuation and Risk in Blended Wing Body Aircraft Using Continuous Displacement Agents

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