Evacuation scenarios of cyclone Aila in Bangladesh: Investigating the factors influencing evacuation decision and destination

Parvin, Gulsan Ara; Sakamoto, Masashi; Shaw, Rajib; Nakagawa, Hajime; Sadik, Md. Shibly

doi:10.1016/j.pdisas.2019.100032

Cited by 40 publications

(37 citation statements)

References 19 publications

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“…In the case of noticed events such as typhoon, hurricane and cyclone, the course and strength are forecast and early warning information is widely provided. During Cyclone Sidr in 2007, successful evacuation of coastal residents was reported [32], although there are still problems that not everyone evacuated, even they received a cyclone warning [33]. In the case of tsunami triggered by earthquakes generated in a subduction zone, although there is no forecasting information about earthquake occurrence beforehand, it is well known that evacuation to the higher places is necessary [31].…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Actions and Motivations of a Community during the 2017 Torrential Rains in Northern Kyushu, Japan

Nonomura

Fujisawa

Takahashi

et al. 2020

IJERPH

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Damage caused by weather events has increased dramatically across the world in recent years. In the case of Japan, record-breaking rainfall has caused devastating damage almost every year since 2014; many people have been killed in these disasters. To better prepare for future heavy rainfalls, we need to discover how to prepare for disasters and mitigate damage by learning from examples in resilient communities. In 2017, torrential rains hit Toho Village in northern Kyushu, and the people as a whole responded well to avoid disastrous outcomes. We studied the actions and motivations of residents of Toho during this rainfall event by conducting semi-structured interviews in November 2017. The interviewees indicated that their motivation for evacuating was “personal observation of the danger” or “communication with neighbors”. Communication within the community was found to be an important factor that enabled the safe evacuation of community members, even without notice of the disaster risk and/or in the absence of timely information from the government because of a power outage. Knowledge of local landforms would be also helpful to reinforce appropriate actions and precautions needed during a disaster.

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Section: Discussionmentioning

confidence: 99%

Analysis of the Actions and Motivations of a Community during the 2017 Torrential Rains in Northern Kyushu, Japan

Nonomura

Fujisawa

Takahashi

et al. 2020

IJERPH

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“…In [16], the way in which people in Bangladesh react at the moment of evacuation is analyzed considering the case of the cyclone Aila. In this study, the authors explore important factors that influence people's evacuation decision and selection of evacuation destination.…”

Section: Related Workmentioning

confidence: 99%

Evacuation Supporting System Based on IoT Components †

Eggly

Finochietto

Micheletto

et al. 2019

13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence UCAmI 2019‬

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The response to natural disasters usually requires evacuation procedures that should be followed in a quick and orderly fashion. While census data provide information on the population distribution during sleeping hours, the evacuation procedure may arrive at any moment of the day, even when people are not at home; e.g., in their daily activities. This particular situation causes preparedness plans based on census information to become minimally effective; therefore, more dynamic and context-aware strategies are required to properly address these evacuation processes. In this paper, an evacuation supporting system, based on IoT-networked devices, is proposed to guide people to safe places or shelters once the alert of an extreme event has been issued. The system is interactive and support crowd-sensing; this allows people to upload information on the state of the routes and the shelters, thus keep an updated status of the evacuation routes. The contribution of the paper is twofold. On one side, an evolutionary algorithm is proposed to provide coverage in a breadcrumb deployment of information posts called witness units. On the other, an application based on geographical information system is presented as an intermediary between the witness units and the users; this application guides people towards safe places or shelters.

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“…Bangladesh is one of the topper rank disaster prone countries due to its geographical location and global climate change. It is one of the largest delta areas and comprises three major rivers including Ganges, Brahmaputra and Meghna [1,2]. Climate change accelerates catastrophic tropical cyclones and storm surges during the period of pre-monsoon (April-May) and post-monsoon (October-November) in Bangladesh [3].…”

Section: Introductionmentioning

confidence: 99%

“…CPP volunteers circulate warning via hand siren, megaphone (e.g., miking), signal light and flags [5], while local stakeholders claimed that siren and flag do not remain active in maximum cases. Besides, most of the poor coastal residents do not have access to online newspapers, radio, television and they do not get the warning in proper time and this miscommunication of information makes them vulnerable and discourage to evacuate [1,3,6].…”

Section: Introductionmentioning

confidence: 99%

“…The CPP was established in 1972 was collaborated with Bangladesh Ministry of Disaster Management and Relief (MoDMR) and the Bangladesh Red Crescent Society (BDRCS) with 49,365 trained volunteers and 16,455 of those are women [9]. Those volunteers are dedicatedly involved to disseminate cyclone warning signal, assist people to move in MPCSs, rescue distressed people and provide first aid to the injured people [1].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Disaster Resilient Rescue of Coastal Community on Cyclone Warning

Shahin¹,

Akter²,

Debnath³

et al. 2021

Natural Hazards - Impacts, Adjustments and Resilience

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Bangladesh is in the front line of battlefield of disasters due to geographical location and global warming faced over 200 natural disasters in past 40 years and most of the disasters were cyclones. People need to be evacuated and rescued before a cyclone landfall. In current practice, multipurpose cyclone shelter (MPCS) provides short-term safety for the disaster victims in Bangladesh, where people are rescued after disasters which cannot ensure survival of lives. This study aims to develop a method for efficient evacuation and rescue to reduce death tolls in the events of disasters. This study used Wi-Fi scanner and smartphones to detect people. An inbuilt index that includes name, address, mobile number, photo, service set identifier (SSID), and media access control (MAC) of smartphone was developed for 90 registered participants. In this controlled experiment, few new participants turned on hotspot in every five minutes. A new index of people with MAC/SSID was developed in MPCS simulating an emergency. Missing people were detected by comparing inbuilt index and new index, and ordered them self-evacuation. This method captured 100% evacuees. Most importantly, the proposed method will reduce death tools because the people are rescued earlier to a disaster hits a specific area.

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Evacuation scenarios of cyclone Aila in Bangladesh: Investigating the factors influencing evacuation decision and destination

Cited by 40 publications

References 19 publications

Analysis of the Actions and Motivations of a Community during the 2017 Torrential Rains in Northern Kyushu, Japan

Analysis of the Actions and Motivations of a Community during the 2017 Torrential Rains in Northern Kyushu, Japan

Evacuation Supporting System Based on IoT Components †

Disaster Resilient Rescue of Coastal Community on Cyclone Warning

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