Disaster loss and social media: Can online information increase flood resilience?

Water Resources Research

Volumn 52, Issue 9, 2016, Pages 7408-7423

  Allaire, Maura C ^a,b  

^a Center for International Forestry Research   (United States)

^b THE NATURE CONSERVANCY   (United States)

Author keywords

disaster management; early warning; flood; internet; risk mitigation; social media

Indexed keywords

DISASTER PREVENTION; DISASTERS; FLOOD DAMAGE; FLOODS; INTERNET; SURVEYS;

DISASTER MANAGEMENT; DISASTER PREPAREDNESS; EARLY WARNING; IN-DEPTH INTERVIEWS; ON-LINE INFORMATION; PROPENSITY SCORE MATCHING; RISK MITIGATION; SOCIAL MEDIA;

SOCIAL NETWORKING (ONLINE);

COST ANALYSIS; DISASTER MANAGEMENT; EARLY WARNING SYSTEM; FLOOD; FLOOD DAMAGE; INTERNET; QUESTIONNAIRE SURVEY; RISK ASSESSMENT; SOCIAL MEDIA;

BANGKOK; CENTRAL REGION [THAILAND]; KRUNG THEP MAHANAKHON; THAILAND;

EID: 84990211814     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2016WR019243     Document Type: Article

References (69)

1. Acar, A., and Y. Muraki (2011), Twitter for crisis communication: Lessons learned from Japan's tsunami disaster, Int. J. Web Based Commun., 7(3), 392–402.
2. Al-Saggaf, Y., and P. Simmons (2015), Social media in Saudi Arabia: Exploring its use during two natural disasters, Technol. Forecasting Soc. Change, 95, 3–15.
3. A.M. Best (2012), Flood Losses Prompt Key Changes in Thai Insurance Industry. Best's Briefing: Global Insurance, Oldwick, N. J.
4. American Red Cross (2010), DomPrep survey: The use of social media in disaster response [online], DomPrep J., 3–8. [Available at http://www.domesticpreparedness.com/userfiles/reports/SOCIALNET10.pdf.]
5. Aramaki, E., S. Maskawa, and M. Morita (2011), Twitter catches the flu: Detecting influenza epidemics using twitter, in Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 1568–1576, Assoc. for Comput. Linguistics, Edinburgh, U. K.
6. Aron, D. J., and D. E. Burnstein (2003), Broadband adoption in the United States: An empirical analysis, in Down to the Wire: Studies in the Diffusion and Regulation of Telecommunications Technologies, edited by A. L. Shampine, pp. 119–138, Nova Sci. Publ., Haupaugge, N. Y.
7. Betsch, C., N. T. Brewer, P. Brocard, P. Davies, W. Gaissmaier, N. Haase, J. Leask, F. Renkewitz, B. Renner, and V. F. Reyna (2012), Opportunities and challenges of Web 2.0 for vaccination decisions, Vaccine, 30, 3727–3733.
8. Bolton, R. N., A. Parasuraman, A. Hoefnagels, N. Migchels, S. Kabadayi, T. Gruber, Y. K. Loureiro, and D. Solnet (2013), Understanding generation Y and their use of social media: A review and research agenda, J. Serv. Manage., 24(3), 245–267.
9. Bird, D., M. Ling, and K. Haynes (2012), Flooding Facebook: The use of social media during the Queensland and Victorian floods, Aust. J. Emerg. Manage., 27(1) 27–33.
10. Carter, L., J. Thatcher, and R. Wright (2014), Social media and emergency management: Exploring state and local tweets, in 47th Hawaii International Conference on System Science, pp 1968–1977, IEEE Press, N. Y.
11. Cates A., et al. (2013), Impact of dual-polarization radar technology and Twitter on the Hattiesburg, Mississippi tornado, Disaster Med. Public. Health Prep., 7(6), 585–592.
12. Chan, R., and J. Schofer (2014), Role of social media in communicating transit disruptions. J. Transp. Res. Board, 2415, 145–151.
13. rd Australasian Conference on Information Systems (ACIS), Australasian Association for Information Systems Geelong, Australia.
14. Cheong, F., and C. Cheong (2011), Social Media Data Mining: A Social Network Analysis of Tweets During The 2010-2011 Australian Floods, Pacific Asia Conference on Information Systems, Brisbane, Australia.
15. Chunara, R., J. Andrews, and J. Brownstein (2012), Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak, Am. J. Trop. Med. Hyg., 86, 39–45.
16. Crooks, A., A. Croitoru, A. Stefanidis, and J. Radzikowski (2013), # earthquake: Twitter as a distributed sensor system, Trans. GIS, 17, 124–147.
17. de Bruijn, K. (2004), Resilience indicators for flood risk management systems of lowland rivers, Int. J. River Basin Manage., 2(3), 199–210.
18. St. Denis, L.A., L. Palen, and K. Anderson (2014), Mastering social media: An analysis of Jefferson county's communications during the 2013 Colorado floods, in Proceedings of the Information Systems for Crisis Response and Management Conference (ISCRAM'14), University Park, Pa.
19. Duggan, M., and J. Brenner (2013), The Demographics of Social Media Users—2012, Pew Res. Cent., Washington, D. C.
20. Earle, P., D. Bowden, and M. Guy (2012), Twitter earthquake detection: Earthquake monitoring in a social world, Ann. Geophys., 54, 708–715.
21. Earle, P., M. Guy, R. Buckmaster, C. Ostrum, S. Horvath, and A. Vaughan (2010), OMG Earthquake! Can Twitter improve earthquake response?, Seismol. Res. Lett., 81(2), 246–251.
22. Gelernter, J., and N. Mushegian (2011), Geo-parsing messages from microtext, Trans. GIS, 15(6), 753–773.
23. Guan, X., and C. Chen (2014), Using social media data to understand and assess disasters, Nat. Hazards, 74, 837–850.
24. Haddow, G. D., and K. S. Haddow (2014), Disaster Communications in a Changing Media World, Butterworth-Heinemann, N. Y.
25. Heckman, J., H. Ichimura, and P. Todd (1998), Matching as an econometric evaluation estimator, Rev. Econ. Stud., 65, 261–294.
26. Huang, C., E. Chan, and A. Hyder (2010), Web 2.0 and Internet Social Networking: A new tool for disaster management? Lessons from Taiwan, BMC Med. Inf. Decision Making, 10, 57.
27. Hughes, A. L., and L. Palen (2009), Twitter adoption and use in mass convergence and emergency events, Int. J. Emer. Manage., 6(3–4), 248–260.
28. Intergovernmental Panel on Climate Change (2012), Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change, Cambridge Univ. Press, Cambridge, U. K.
29. Jung, J. Y., and M. Moro (2014), Multi-level functionality of social media in the aftermath of the Great East Japan Earthquake, Disasters, 38, suppl. 2, S123–S143.
30. rd International Conference on Information Systems, Association for Information Systems, Orlando, Fla., 16–19 Dec.
31. Kim, T. (2014), Observation on copying and pasting behavior during the Tohoku earthquake: Retweet pattern changes, Int. J. Inf. Manag., 34(4), 546–555.
32. Kittler, A., J. Hobbs, L. Volk, G. Kreps, and D. Bates (2004), The internet as a vehicle to communicate health information during a public health emergency: A survey analysis involving the anthrax scare of 2001, J. Med. Internet Res., 6(1), e8.
33. Kongthon, A., C. Haruechaiyasak, J. Pailai, and S. Kongyoung (2012), The role of social media during a natural disaster: A case study of the 2011 Thai Flood, Int. J. Innovation Technol. Manage., 11(3), 1–12, doi:10.1142/S0219877014400124.
34. Laituri, M., and K. Kodrich (2008), On line disaster response community: People as sensors of high magnitude disasters using Internet GIS, Sensors, 8, 3037–3055.
35. Lenhart, A. (2009), Adults and social network Web sites, Pew Internet and American Life Project, Pew Res. Cent., Washington, D. C. [Available at http://www.pewinternet.org/Reports/2009/Adults-and-Social-Network-Websites.aspx/.]
36. Lu, X., and C. Brelsford (2014), Network structure and community evolution on Twitter: Human behavior change in response to the 2011 Japanese earthquake and tsunami, Sci. Rep., 4, 6773.
37. Lu, Y., and D. Yang (2011), Information exchange in virtual communities under extreme disaster conditions, Decis. Support Syst., 50(2), 529–538.
38. Macias, W., K. Hilyard, and V. Freimuth (2009), Blog functions as risk and crisis communication during Hurricane Katrina, J. Comput. Med. Commun., 15, 1–31.
39. Maron, D. (2013), How social media is changing disaster response, Scientific American. June 7, 2013.
40. McRee, A., P. Reiter, and N. Brewer (2012), Parents' Internet use for information about HPV vaccine, Vaccine, 30(25), 3757–3762.
41. Mendoza, M., B. Poblete, and C. Castillo (2010), Twitter under crisis: Can we trust what we RT? in Proceedings of the First Workshop on Social Media Analytics, pp. 71–79, ACM, Washington, D. C.
42. Miller, S., R. Muir-Wood, and A. Boissonnade (2008), An exploration of trends in normalized weather-related catastrophe losses, in Climate Extremes and Society, edited by H. Diaz and R. Murnane, pp. 225–247, Cambridge Univ. Press, N. Y.
43. Munich Re Group (2005), Topics Geo, Annual Review: Natural Catastrophes 2005, Munich, Germany.
44. Muralidharan, S., L. Rasmussen, D. Patterson, and J.-H. Shin (2011), Hope for Haiti: An analysis of Facebook and Twitter usage during the earthquake relief efforts, Public Relations Rev., 37(2), 175–177.
45. Nabangchang, O., M. Allaire, P. Leangcharoen, R. Jarungrattanapong, and D. Whittington (2015), Economic costs incurred by households in the 2011 Bangkok flood, Water Resour. Res., 51, 58–77, doi:10.1002/2014WR015982.
46. Orie, M., and W. Stahel (2013), Case study 3: The 2011 Thai floods, in The Geneva Reports: Risk and Insurance Research. Insurers' Contributions to Disaster Reduction—A Series of Case Studies, edited by M. Orie and W. R. Stahel, The Geneva Assoc., Geneva, Switzerland.
47. Pho, H., S. C. Han, and B. H. Kang (2011), Emergency-affected population identification and notification by using online social networks, in Software Engineering, Business Continuity, and Education, pp. 541–550, Springer-Verlag, Berlin, Germany.
48. Poser, K., and D. Dransch (2010), Volunteered geographic information for disaster management with application to rapid flood damage estimation, Geomatica, 64(1), 89–98.
49. Quan-Hasse, A., and A. Young (2010), Uses and gratifications of social media: A comparison of Facebook and Instant Messaging, Bull. Sci. Technol. Soc., 30(5), 350–361.
50. Rappoport, P., D. Kridel, L. Taylor, K. Duffy-Deno, and J. Alleman (2003), Residential demand for access to the internet, in The International Handbook of Telecommunications Economics, vol. II, edited by G. Madden, pp. 55–72, Edward Elgar Publ., Cheltenham, U. K.
51. Savage, S., and D. Waldman (2005), Broadband Internet access, awareness, and use: Analysis of United States household data, Telecommunic. Policy, 29(8), 615–633.
52. Sutton, J., L. Palen, and I. Irina Shklovski (2008), Backchannels on the front lines: Emergent uses of social media in the 2007 southern California wildfires, paper presented at the 5th International ISCRAM Conference, Information Systems for Crisis Response and Management (ISCRAM), Washington, D. C.
53. Tamura, Y., and K. Fukuda (2011), Earthquake in Japan, Lancet, 377, 1652.
54. Tang, Z., L. Zhang, F. Xu, and H. Vo (2015), Examining the role of social media in California's drought risk management in 2014, Nat. Hazards, 79(1), 171–193.
55. Taylor, M., G. Wells, G. Howell, and B. Raphael (2012), The role of social media as psychological first aid as a support to community resilience building, Aust. J. Emerg. Manage., 27(1), 20–26.
56. Tomer, S., A. Goldberg, and B. Adinia (2015), Socializing in emergencies: A review of the use of social media in emergency situations, Int. J. Inf. Manage., 35, 609–619.
57. Ukkusuri, S., X. Zhan, A. Sadri, and Q. Ye (2014), Use of social media data to explore crisis informatics: Study of 2013 Oklahoma tornado, Transport. Res. Rec., 2459, 110–118.
58. Usui, S., F. Toriumi, T. Hirayama, Y. Enokibori, and K. Mase (2015), Why did false rumors diffuse after the 2011 earthquake off the Pacific Coast of Tohoku? Impact analysis of the network structure, Electron. Comm. Jpn., 98(9) 1–13.
59. Valenzuela, S., D. Halpern, and J. Katz (2014), Social network sites, marriage well-being and divorce: Survey and state-level evidence from the United States, Comput. Human Behavior, 36, 94–101.
60. Vieweg, S., A. Hughes, K. Starbird, and L. Palen (2010), Microblogging during two natural hazards events: What Twitter may contribute to situational awareness, paper presented at 2010 ACM Conference on Human Factors in Computing Systems, Association for Computing Machinery, Atlanta, Ga.
61. Webcertain (2014), The 2014 Webcertain Global Mobile Report, York, U. K.
62. Williams, S., M. Terras, and C. Warwick (2013), What do people study when they study Twitter? Classifying Twitter related academic papers, J. Doc., 69, 384–410.
63. World Bank (2014), World development indicators database, Washington, D.C.
64. Yang, D., D. Zhang, K. Frank, P. Robertson, E. Jennings, M. Roddy, and M. Lichtenstern (2014), Providing real-time assistance in disaster relief by leveraging crowdsourcing power, Personal Ubiquitous Comput., 18, 2025–2034.
65. Yates, D., and S. Paquette (2011), Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake, Int. J. Inf. Manage., 31, 6–13.
66. Yin, J., A. Lampert, M. Cameron, B. Robinson, and R. Power (2012), Using social media to enhance emergency situation awareness, IEEE Intell. Syst., 27(6), 52–59.
67. Zhou, H., J. Wang, J. Wan, and H. Jia (2010), Resilience to natural hazards: A geographic perspective, Nat. Hazards, 53, 21–41.
68. Zickuhr, K. (2014), Who's not online and why, Pew Res. Cent., Washington, D. C.
69. Zook, M., M. Graham, T. Shelton, and S. Gorman (2010), Volunteered geographic information and crowdsourcing disaster relief: A case study of the Haitian Earthquake, World Med. Health Policy, 2, 7–33.