7Á0ð b sms
TRANSCRIPT
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191
No.24, 2014.11
1
SMS
Primary research on disaster information dissemination by SMS of mobile phone
- Demonstration experiment in a rural mountainous area, northeast Thailand -
1
2
3
4
Akira KODAKA
1, Akiyuki KAWASAKI
2, Miho OHARA
3, and Shinya KONDO
4
1 NPO Loei Fund for Nature Conservation and Sustainable Development 2 Institute of Industrial Science, The University of Tokyo 3 Public Works Research Institute 4 21 Disaster Reduction and Human Renovation Institution Text-based information using mobile phone would be useful to warn public accurately and promptly. However, there is little practical research being done to examine its effectiveness especially for rural mountainous areas. This research therefore conducted a demonstration experiment and a questionnaire survey at the area in Thailand to observe how disaster information disseminated with Short Message Service (SMS) broadcast reaches and spreads among local residents. Through the research, it would appear that SMS has a potential to be an effective mean for improving current systems in the area including use of loud speaker to warn the local residents. Keywords: disaster warning, mobile phone, short message service, loud speaker, rural mountainous area,
northeastern Thailand
ITU: International Telecommunication Union 1)
201396.2% 89.4%
1
20112)~6)
SMS(Short Message Service)
300
1
地域安全学会論文集 No.24, 2014.11
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192 2
1
2
2 200 12261.0% 80 40.0%
SMS
7)
(USO: Universal Service Obligation)
NBTC: National Broadcasting and Telecommunications Commission
Telecommunications Business Act
2012 123 AIS dtac True NBTC
8) USO
9)
10)~12)
13), 14)
J15)
GSM Global System for Mobile CommunicationsSMS 16), 17)
2013138.5% 18)
SMS
SMS
SMS 5)
SMS
SMSSMS
SMS
SMS
SMS
SMS
SMS
SMS
2)~6)
400 1,500
SMS
SMS2)~6)
(Loei WS)
SMS 2014 2 26 219
LoeiWS1
17 SMS
2 28 SMS17
3
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193 3
SMS
AIS Smart Messaging50,000
SMSAIS
10
Loei WS TAO (Tambon Administrative Organization)
TAO.LoeiWS
2
SMS
SMS
Loei WS258 1
LoeiWS 1,0000.52 0.48 2010
Loei Rajabhat SMS2 28 3 1 3
216
3
12
3
2
3TAO.LoeiWS SMS
TAO.LoeiWS
TAO.LoeiWS
.
219 SMS149 Smart Messaging SMS
24
279.2%
118 170
1SMS
70 49 70.0%SMS
SMS
258 216
2
181 216 83.8%95.6% 51.7%
3
92.6%
TAO
2 SMS
11-22-33-5
5-1010
20 40 60 100 0 120 80
1 SMS (N=70)
70.0% AIS 15.7%
11.4% 1.4% 1.4%
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194 4
216 41.7%90 SMS
71 78.9TAO.LoeiWS SMS
19 21.1%29 32.2%
42 46.6
SMS 17
19 45.2%
23 54.8% 2
SMS
12630 23.8%
TAO.LoeiWS SMS
SMS
SMSb)
SMS
SMS1
2
3 4
4
GIS
4 2 31
3
0% 20% 40% 60% 80% 100%
(N=216)
(N=212
2 (N=216)
(N=181) (N=35)
69.3% 30.7% 75.4% 24.6%
30 100.0% 0.0% 30 40 86.0% 14.0% 40 50 76.7% 23.3% 50 60 77.8% 22.2%
60 47.8% 52.2% 2 51.5% 48.5%
3 76.2% 23.8% 4 72.8% 27.2% 5 70.9% 29.1%
6 85.5% 15.0%
73.1% 26.9% 100.0% 0.0% 100.0% 0.0% 36.8% 63.2% 100.0% 0.0% 61.9% 38.1%
66.7% 33.3% 82.6% 17.4% 94.3% 5.7% 100.0% 0.0% 100.0% 0.0% 40.0% 60.0%
3(N=216)
1 N=89
2 N=18
3 N=89
4 N=14
5 N=6
SM
S
72.4% 0.0% 17.2% 3.5% 6.9%
45.2% 14.3% 28.6% 11.9% 0.0%
66.7% 0.0% 33.3% 0.0% 0.0%
56.3% 0.0% 37.5% 6.3% 0.0%
43.3% 10.1% 36.7% 3.3% 6.7%
26.0% 9.4% 56.3% 6.3% 2.1%
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195 5
12
3
4 SMS
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196 6
SMSN=90 N=126
SMS3
1 SMS(N=29)
5 (17.2%)2 (6.9%)
SMS
77SMS
2 SMS30 SMS
SMS
SMS
4.3863 0.229
3 SMS(N=42)
112
(28.6%)4 (9.5%)
29 1758.6% 17:00-17:29
17:30-17:59 7 24.1%18.00-18 29 4 13.8%
3317 00-17 29 15 45.5% 18
00-18 29 7 21.2%
SMS
64.2%2
SMS21 3
4
SMS
SMS5-8
4
19) 2011
20)
1 2 3
(N=90) (N=126)
1 2 30%
80%4
100%
60%
20%
5
1 2 3 1 2 3
40%5
1 2 3 1 2 30%
40%5
80%4
100%
60%
20%
1 2 3 1 2 3
6(N=90) (N=126)
1 2 3 1 2 30%
40%5
80%4
100%
60%
20%
7 SMS
1 2 3 1 2 3(N=90) (N=126)
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197 7
14273 42.5% 31
SMS1
54.4% 3 68.9%1 3
SMS
9Loei WS
70.4% TAO13.9%82.4%
2012
21), 22) Local leader20.2%
14.5%
.
SMS 4223
SMS
SMS
SMS
8 SMS
SMS 1
219 53.9% 118
SMS 90SMS29 32.2%
SMS
SMS
SMS
SMS
9
SMS
SMS
TAO
1 2 3 1 2 30%
40%5
80%4
100%
60%
20%
8 SMS
1 2 3 1 2 3
(N=90) (N=126)
0% 20% 60% 40% 80%
9 N=216
0% 20% 40% 60% 80%
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198 8
SMS
SMS
SMS
SMS
SMS
SMS
219 32.0% 70 SMSSMS
SMSSMS
SMS
(AIS )
SMS
.
SMS
SMS
LoeiWS
SMS
SMS
SMS
SMS
SMS
SMS
SMS
GIS
SMS
SMS
SMS
SMSSMS
SMS
SMS
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199 9
Department of Disaster Prevention and Mitigation, Provincial Office Loei Municipality TAO
Loei Rajabhat
(B)
1) International Telecommunication Union, http://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx ( 2014.5.01)
2) 1 - -, , 64(4), 2012.
3) 2 ,
, 64(4), 2012. 4)
3 - -, , 64(4), 2012.
5) SMS .
, No.19, 2013. 6)
. , No.21, 2013.
7) 2011 12, 64(4), 2012.
8) Srinuan, C.: Uncertainty of public pay phone in Thailand: Impli-cations for the universal service obligation. Telecommunications Policy, 2014. DOI: 10.1016/j.telpol.2014.04.011.
9) , ,
, No.15, pp.144-147, 2013. 10) NTT , 5.14.2013.
https://www.nttdocomo.co.jp/service/safety/areamail/disaster_evacuation/ ( 2014.05.05).
11) , 4.15.2014. http://www.softbank.jp/mobile/service/urgent_
news/about/disaster_info/list/ ( 2014.05.05). 12) KDDI
, 5.15.2014. http://media3.kddi.com/extlib/files/ business/kinkyu_sokuho/pdf/dantai_list.pdf ( 2014.05.05).
13) 2011 9 12
, , 64(4), 2012. 14)
, 2013. 15) ,
, 3.28.2014. 16) Basha, E., Rus, D.: Design of Early Warning Flood Detection
Systems for Developing Countries. International Conference on Information and Communication Technologies and Development, 2007.
17) Keoduangsine, S., Goodwin, R.: An Appropriate Flood Warning System in the Context of Developing Countries. International Journal of Innovation, Management and Technology, Vol.3, No.3, 2007.
18) NBTC Thailand ICT info, Mobile Penetration, 1.5.2014. http:// www2.nbtc.go.th/TTID/mobile_market/penetration_postpre/ ( 2014.05.10).
19) 2011- -.
, No.17, 2012. 20) 2011
. , No.25, 2012.
21) 2011. , 65(4),
2013. 22) 2011
. , No.21, 2013.
( 2014.5.31) ( 2014.9.6)
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