| Literature DB >> 34151247 |
Hisao Nakai1, Tomoya Itatani2, Ryo Horiike3.
Abstract
Earthquakes and tsunamis are expected to occur within the next 30 years along Japan's Nankai Trough. Existing disaster prevention plans and calculated evacuation capacities in the coastal areas that would be affected do not account for physical distancing in the context of COVID-19. Therefore, we developed a tsunami evacuation placement model incorporating physical distance guidelines for infection control and living space per person into calculations of evacuation center accommodation capacities in Aki City, Kochi Prefecture. Using available administrative, population, and tsunami inundation data, we counted and mapped evacuation centers in the estimated inundated area within three zones constructed for smooth evacuation using the ArcGIS software Build Balanced Zones Tool. We calculated the space per evacuee using the Sphere handbook standard of 3.5 m2 or double the Sphere standard at 7 m2 plus the recommended physical distance of 11 m2 per person. We then compared the results with planned capacities. A total of 27 shelters are located in the area projected to be inundated at depths of 0.3-10 m, and their planned capacity, 2 m2 for each evacuee, would accommodate 32.9% of Aki's population and result in 9639 unaccommodated evacuees. Allotting 14.5 m2 (living space) or 18 m2 (living space plus space to maintain physical distancing) would reduce accommodation capacities to 57.1% and 28.6% (12,133 and 12,371 unaccommodated evacuees, respectively). Given these accommodation shortages, we recommend that evacuation centers are set aside for vulnerable people and that alternative evacuation sites such as parking lots and mountain campsites are preplanned.Entities:
Keywords: COVID-19; Evacuee placement model; Social distance; Tsunami evacuation
Year: 2021 PMID: 34151247 PMCID: PMC8205553 DOI: 10.1016/j.pdisas.2021.100183
Source DB: PubMed Journal: Prog Disaster Sci ISSN: 2590-0617
Fig. 1Location of Aki. The outlined area shows Aki City, located on Shikoku Island, Japan.
Fig. 2Potential tsunami inundation area of Aki. The area of potential inundation from the tsunami is shown in shades of blue. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 3Shelter locations and tsunami inundation area. The shelter positions are plotted with numbered red points. The inundation depth is shown in shades of blue. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 4Aki plain tsunami inundation area.
Fig. 5Flow of data collection and analysis.
Shelter area, inundation depth, capacity, and capacity when physical distancing is maintained.
| Shelter number | Tsunami inundation depth (m) | (1) | (2) | (3) | (4) | (5) | (6) | (7) |
|---|---|---|---|---|---|---|---|---|
| Aki's shelter capacity using 2 m2 per person | Shelter area (m2) | Median shelter area | Capacity when 3.5 m2 (evacuation area) and 11 m2 (PD area) are allocated per person | Accommodation rate when 3.5 m2 is allocated per person (%) | Capacity when 7.0 m2 (evacuation area) and 11 m2 (PD area) are allocated per person | Accommodation rate when 7.0 m2 is allocated per person (%) | ||
| (2) = 2 m2*(1) | (4) = (2)/14.5 m2 | (5) = (4)/(1)*100 | (6) = (2)/18.5 | (7) = (6)/(1)*100 | ||||
| 1 | 0 | 12 | 24 | 350 | 1.7 | 14 | 1.3 | 11 |
| 2 | 0 | 13 | 26 | 1.8 | 1.4 | |||
| 3 | 0 | 13 | 26 | 1.8 | 1.4 | |||
| 4 | 0 | 14 | 28 | 1.9 | 1.5 | |||
| 5 | 0 | 14 | 28 | 1.9 | 1.5 | |||
| 6 | 0 | 16 | 32 | 2.2 | 1.7 | |||
| 7 | 0 | 17 | 34 | 2.3 | 1.8 | |||
| 8 | 0 | 17 | 34 | 2.3 | 1.8 | |||
| 9 | 0 | 17 | 34 | 2.3 | 1.8 | |||
| 10 | 0 | 19 | 38 | 2.6 | 2.1 | |||
| 11 | 0 | 30 | 60 | 4.1 | 3.2 | |||
| 12 | 0.3–1.0 | 140 | 280 | 19.3 | 15.1 | |||
| 13 | 0 | 174 | 348 | 24.0 | 18.8 | |||
| 14 | 5.0–10.0 | 175 | 350 | 24.1 | 18.9 | |||
| 15 | 0 | 200 | 400 | 27.6 | 21.6 | |||
| 16 | 0.01–0.3 | 200 | 400 | 27.6 | 21.6 | |||
| 17 | 1.0–2.0 | 200 | 400 | 27.6 | 21.6 | |||
| 18 | 5.0–10.0 | 210 | 420 | 29.0 | 22.7 | |||
| 19 | 1.0–2.0 | 222 | 444 | 30.6 | 24.0 | |||
| 20 | 1.0–2.0 | 260 | 520 | 35.9 | 28.1 | |||
| 21 | 1.0–2.0 | 260 | 520 | 35.9 | 28.1 | |||
| 22 | 0 | 270 | 540 | 37.2 | 29.2 | |||
| 23 | 0 | 330 | 660 | 45.5 | 35.7 | |||
| 24 | 0 | 343 | 686 | 47.3 | 37.1 | |||
| 25 | 0 | 350 | 700 | 48.3 | 37.8 | |||
| 26 | 3.0–5.0 | 450 | 900 | 62.1 | 48.6 | |||
| 27 | 0 | 1623 | 3246 | 223.9 | 175.5 | |||
| Total | 5589 | 11,178 | 3194 | 1597 |
Ministry of Land, Infrastructure, Transport and Tourism [27].
Aki City [1].
Fig. 6Zones built considering a smooth distribution of the number of evacuees and the distance to the shelter.
Number of people that can be accommodated in each zone, the number of excess evacuees if the evacuation area is expanded, and the number of shelters that will be lacking.
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | (12) | (13) | (14) | (15) | (16) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Zone | Shelter number | Aki's shelter capacity when allocating 2 m2 per person | Zone area (m2) | Capacity per zone | No. of evacuees calculated by BBZ | No. of excess evacuees when allocating 2 m2 per person | No. of people able to evacuate when allocating 3.5 m2 evacuative area and 11 m2 PD area per person | No. of excess evacuees when allocating 3.5 m2 evacuative area and 11 m2 PD area per person | No. of people able to evacuate when allocating 7.0 m2 evacuative area and 11 m2 PD area per person | No. of excess evacuees when allocating 7.0 m2 evacuative area and 11 m2 PD area per person | No. of evacuees based on the Aki shelter accommodation rate (32.9%) | No. of people able to evacuate using an evacuation rate of 32.9% and 7.0 m2 evacuation area and 11 m2 PD area per person | No. of excess evacuees using an evacuation rate of 32.9% and 7.0 m2 evacuation area and 11 m2 PD area per person | No. of shelters lacking when allocating 3.5 m2 per person | No. of shelters lacking when allocating 7.0 m2 per person |
| (7) = (6)–(3) | (8) = (6)/3.5 | (9) = (6)–(8) | (10) = (6)/7.0 | (11) = (6)–(10) | (12) = (2) * 0.329 | (13) = (9) * 0.329 | (14) = (11) * 0.329 | (15) = (13) * −1 * 3.5/350 | (16) = (14) * −1 * 7.0/350 | ||||||
| 1 | 1270 | 2540 | 1270 | 4705 | (3435) | 175 | (4530) | 71 | (4634) | 1548 | (1490) | (1525) | |||
| 9 | 34 | 17 | 2 | 1 | |||||||||||
| 11 | 60 | 30 | 4 | 2 | |||||||||||
| 15 | 400 | 200 | 28 | 11 | |||||||||||
| 23 | 660 | 330 | 46 | 18 | |||||||||||
| 24 | 686 | 343 | 47 | 19 | |||||||||||
| 25 | 700 | 350 | 48 | 19 | |||||||||||
| 2 | none | 0 | 0 | 0 | 4192 | (4192) | 0 | (4192) | 0 | (4192) | 1379 | (1379) | (1379) | ||
| 3 | 27 | 1623 | 3246 | 1623 | 3635 | (2012) | 224 | (3411) | 90 | (3545) | 1196 | (1122) | (1166) | ||
| Total | 2893 | 2893 | 12,532 | (9639) | (12,133) | (12,371) | 4123 | (3992) | (4070) | 165 | 209 |
Ministry of Land, Infrastructure, Transport and Tourism [27].