Category Archives: Demography
【Disaster Research: Infograph】AI-Integrated Disaster Preparedness Platforms (Open Access Examples)
The infographic of the AI-Integrated Disaster Preparedness Platforms is shown as an infographic: AI-Integrated Disaster Preparedness Platforms
【Disaster Research: Infograph】Global Trends of Disasters
The infographic of the global trends of disasters (1970-2025) is shown as an infographic: https://disasters.weblike.jp/global%20trends.html
【Disaster Research: website】Logistic Regression Analysis (Simply explained)
The website of the logistic regression analysis in the demography and public policy seminar. Created one of the simplest and easiest-to-understand websites.
website:https://disasters.weblike.jp/logistic%20regression%20overview.html
【Disaster Research: Infograph】Demography and Public Policy Relationship
The infographic of the demography and public policy seminar, one example slide, is shown as an infographic: https://disasters.weblike.jp/IVDV_Relationship%20v1.html
【Disaster Research : Infograph】Thailand’s Demographic Transformation
An infographic, “Thailand’s Demographic Transformation,” was created.https://disasters.weblike.jp/Thai%20demographic%20change.html
【Disaster Research : Infograph】Japan’s Demographic Transformation
An infographic, “Japan’s Demographic Transformation,” was created.https://disasters.weblike.jp/Jap%20population%20v2.html
Day_89 : Disaster Recovery Theory (1)
First, the theoretical examination’s concept is explained and two disaster recovery theories are introduced. Second, the first theory is explained and studied. Third, the second theory is explained and examined.
The concept is explained as follows:
Figure1 1: Disaster Recovery Concept
The following are the two disaster recovery theories used for this study.
Theoretical framework 1
Disasters contribute to change, they do so primarily by accelerating trends that are already underway prior to impact (Bates et al., 1963; Bates, 1982; Bates and Peacock, 1993; Haas et al., 1977).
２) Theoretical framework 2
The disaster Process is influenced by
① Devoted aid volume from outside society
② Disaster scale
Community Strength (Social System Strength) (Hirose, 1982)
The first theory is confirmed by some cases. You can see the following figures: the Kanto earthquake, Fukui earthquake, Typhoon Isewan in Japan, and Hurricane Katrina in US.
Figure 2: Disaster Recoveries in Japan
Figure 3: The Disaster Recovery from Hurricane Katrina in US.
To be continued…
This is the presentation summary. The presentation was made in 2011, after the tsunami in Japan.
Day_75 : Okushiri Island (2)
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. 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), and the aging proportion over 65 is from 15.6% (1990) to 38.6% (2015)*.
Below is the graph, which indicates the demographic changes on 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
https://disasterresearchnotes.site/archives/2510
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Day_167: Imagine from Disaster Damage Statistics
NIED-DIL mail magazine: 6
Imagine from disaster damage statistics
Contribution day and time: 2013/08/19
There is an index called the World Risk Index. The world risk report ranks Bangladesh as one of the high-risk countries in the world in 2019.
Indonesia and Haiti were easy to imagine, linked to the damages caused by recent earthquakes. Previously, there was an opportunity to learn from a land environment perspective about the past major disasters that struck Bangladesh, especially the large-scale cyclone disasters in 1970 and 1991. During a study session at the institution, I leaned the reported number of the casualties caused by the disasters was 500,000 and 140,000 people each. I was surprised to see the large numbers, but I was wondering why these numbers are so rough. When I looked at the table showing the breakdown numbers, I felt, “Oh!”
Building damage, human suffering, and livestock damage are listed. For example, the cyclone disaster in 1991 resulted in 1,630,543 house damage, 140,000 human suffering (dead or missing), and 584,471 livestock damage.
Yes, human suffering seemed to be a rough figure, while house damage and livestock damage were written down to one digit. And when we looked at what kind of country Bangladesh was like such as caste, religion, and livestock.
The background of the numbers, such as meaning, etc., has come into view. Regarding the number of dead and missing people in 1970, there are no accurate figures, and reports from 200,000 to 550,000 people have been reported in various fields.
https://disasterresearchnotes.site/archives/3224
When there is a disaster, numbers about the damage come out, but I thought it was a very important viewpoint to think about where the numbers came out and what you can imagine from those numbers.
By the way, the web site is
https://reliefweb.int/sites/reliefweb.int/files/resources/WorldRiskReport-2019_Online_english.pdf
Issued July 5, 2010 No. 6
Related Books and Info. for Further Understanding
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