Have just conducted a text mining as follows:
Overviews of the Literature concerning elderly and disasters by text mining.
1. Search the keywords in Web of Science (Core Collection)
2. Selected Information (Titles and Abstracts) was gathered into one text file.
3.1st contents analysis has been carried out and omitted the unnecessary words.
4. Cleaning process
5. 2nd contents analysis has been carried out. >>This process was repeated
6. Research findings are examined.
7. Examine the extracted words and phrases by reaching to the original abstracts and original papers.
*To do the text mining, KH Corder was used.
Table 1 Keywords
Figure 1 A co-occurrence network analysis
Table 2 The hit numbers with disaster management cycles’ stages
Table 2 indicates that elderly issues on disasters are more discussed in relation to “response” and “preparedness” than “recovery” and “mitigation” in the disaster management cycles’ stage.
Figure2 Correspond analysis (The related words with disaster management cycles’ stages)
For example, Figure 2 suggests the close relationship between response and related words such as planning, management, medical, evacuation, vulnerability, and patient. This suggests the elderly’s difficulties for evacuation because of their physical conditions.
**This article is a revised version of Day_26(rev)
Collection and Analysis of Overseas Disaster Evacuation Related Papers and Documents(in Japanese)
Kobe Earthquake : 919 (22Dec.2015)
Great East Japan Earthquake and Tsunami : 3,472 (31Mar.2016)
What are the numbers?
The above numbers are the numbers of disaster-related deaths. The disaster-related death means the death which is not directly caused by hazards such as sickness, disease, and committing suicide. Especially , the disaster-related death number of GEJET is still increasing even 5 years after the disaster. This reflects aging society. The elderly people tends to have sickness and losing hope without family members. Local governments have been working hard to prevent such tragedies. They are visiting and watching the victims individually.
The 1993 southwest-off Hokkaido earthquake hit okushiri island severely. The number of casualties was 165. Okushiri town had faced population decreasing and aging issues before the disaster. After the disaster, Okushiri town had a lot of aids, especially from inside of Japan. The Japan had a very good economy at that time, so the situations enabled them to have such huge aids. Even though the large economic assistance, the town’s demographic tendency before the disaster was facilitated. Total population is from 4,604 (1990) to 2,662 (2015), an aging proportion, over 65, is from 15.6% (1990) to 38.6% (2015)*.
The below is the graph which indicates the demographic changes of the island.
Some ｄisaster recovery theories can be referred to explain this tendency clearly．We should learn from this lesson to consider for our common sustainable futures.
Day_43 : Okushiri Island
So many people, especially elderly, die after the events because of stress, sickness, suicide, and others. We call this a disaster-related death. Kobe earthquake became the trigger to notice this. Over 1,126 were reported as dead not by direct effects of the earthquake. They were aged and easy to get sick and become worse with the circumstances around them such as cold weather, insanitary situations, and private matters after the disaster. They had stressful conditions. They worried about their future, which could not see. 3,472 people (2016.3.31)*were reported as dead, disaster-related death, after the Great East Japan Earthquake and Tsunami disaster in 2011.
* Disaster-related death number by 2011 tsunami is still increasing.
The 1993 southwest-off Hokkaido earthquake hit okushiri island severely. The number of casualties was 165. Okushiri town had faced population decreasing and aging issues before the disaster. After the disaster, okushiri town had a lot of aids, especially from inside of Japan. The Japan had a very good economy at that time, so the situations enabled them to have such huge aids. Even though the large economic assistance, the town’s demographic tendency before the disaster was facilitated.Total population is from 4,604(1990) to 2,662(2015), an aging proportion, over 65, is from 15.6%(1990) to 38.6%(2015).
William Donner and Havidan Rodriguez(2008)は、気候変動より、人口変動による将来の自然災害によるリスクの重要性を指摘している。現実問題として、将来の気候変動による災害に対する影響などは、IPCCなどの主導による研究に代表されるように多くの研究成果が主に自然科学者などにより実施されているが、人口の変動による将来の災害に対する影響の研究は、指標研究を含めてほとんど語られていないのが現状であり、課題となっている。
Munich Re(ミュンヘン再保険会社)によるデータによれば、1980年から2014年における、アジア、アフリカ、北・中央アメリカ、南アメリカ、オーストラリア/オセアニアに分類した世界全体の地域別自然災害のうち、アジアの占める割り合いは、死者数で、69％、経済損失で40％に及び、最も脆弱な地域であることを示している。また同時にアジアは、沿岸部への人口の集中とともに、高齢化が特に進んでいる地域でもある（大泉 2007）。これらは、アジアにおける自然災害に対する脆弱性は今後ますます高まると言っても過言ではない。将来気候変動が叫ばれるなか、さらに日本では、南海トラフや首都直下地震、さらには、2016年の熊本地震で示されるように、いつどこで起こってもおかしくない地震をはじめ、ハザードの側面、及び、進む少子高齢化など社会的脆弱性の側面、両面からリスクは増加する傾向にあるといってよい。それらのリスクへの対応としては、ハザードすなわち自然現象に対するアプローチは主に工学や自然科学分野で多くなされているが、社会的脆弱性という意味での少子・高齢化などによるリスクへの影響に関する研究は、今後の災害対策を考えるうえでも益々重要な位置づけとなるだろう。
I am developing the Human Vulnerability Index.
If you have some ideas about this issue, pls let me know.
The HVI is originally developed when I was doing research on the Great East Japan Earthquake and Tsunami(GEJET) disaster in 2011. I needed to compare the disaster impact by municipality not only the 2011 tsunami, but also 1896, 1933, and 1960 tsunamis. However, it was difficult to compare because geographical and population sizes are different by a municipality. So the HVI was developed. A Member from JAEE thankfully recognized this for the applications.
The followings are just some part, I will disclose the detail in the paper and post the link here in the near future.
1. The HVI can be applied to compare the municipalities not only for the GEJET disaster but also with the historical tsunami events and clarify the historical trends.
2. The recurrent HVI was calculated by a ridge regression analysis using the evacuation related factors which this paper estimated based on some theories such as the PAR model.
3. The HVI was also applied for international cases, 2004 Indian Ocean Tsunami and 2005 Hurricane Katrina.
The HVI related paper was published with Dr.Yozo Goto.
Have just conducted a text mining as follows:
Overviews of the Literatures concerning elderly and disasters by text mining for the initial stage.
1.Search the keywords at Web of Science (Core Collection)
2.Selected Information (Authors, Titles, and Abstracts) was gathered into one text file.
3.1st contents analysis has been carried out and omitted the unnecessary words for the next analysis.
4.2nd contents analysis has been carried out. >>This process was repeated
5.Research findings are examined.
6.Check the extracted words and phrases by reaching to the original abstracts and original papers.
*5 and 6 are not finished yet.
**To do the textmining, RH corder was used.
The folloing attached file is the results which I can share