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191 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) 2013 96.2% 89.4% 1 2011 2)~6) SMS(Short Message Service) 300 1 地域安全学会論文集 No.24, 2014.11

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Page 1: 7Á0ð b SMS

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

Page 2: 7Á0ð b SMS

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

Page 3: 7Á0ð b SMS

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%

Page 4: 7Á0ð b SMS

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%

Page 5: 7Á0ð b SMS

195 5

12

3

4 SMS

Page 6: 7Á0ð b SMS

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)

Page 7: 7Á0ð b SMS

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%

Page 8: 7Á0ð b SMS

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

Page 9: 7Á0ð b SMS

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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