Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management

Computers, Environment and Urban Systems

Volumn 59, Issue , 2016, Pages 231-243

  Granell, Carlos ^a   Ostermann, Frank O ^b  

^a UNIVERSITAT JAUME I   (Spain)

^b UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Crowdsourcing; Disaster management; Geo social media, data analysis methods; Systematic mapping; VGI

Indexed keywords

CROWDSOURCING; DATA HANDLING; DISASTER PREVENTION; DISASTERS; MAPPING; SOCIAL NETWORKING (ONLINE);

ADVANCED APPLICATIONS; DATA ANALYSIS METHODS; DISASTER MANAGEMENT; METHODS OF RESEARCHES; OR APPLICATIONS; RESEARCH OBJECTIVES; SYSTEMATIC MAPPING; SYSTEMATIC MAPPING STUDIES;

INFORMATION MANAGEMENT;

CLASSIFICATION; DISASTER MANAGEMENT; FUTURE PROSPECT; GEOLOGICAL MAPPING; GIS; SOCIAL NETWORK; THEORETICAL STUDY;

EID: 84958191440     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2016.01.006     Document Type: Article

References (97)

1. Abel, F., Hauff, C., Houben, G.J., Stronkman, R., Tao, K., Twitcident: Fighting fire with information from social web streams. Proceedings of the 21st international conference companion on World Wide Web, 2012, ACM, New York, USA, 305–308.
2. Adam, N.R., Shafiq, B., Staffin, R., Spatial computing and social media in the context of disaster management. IEEE Intelligent Systems 27:6 (2012), 90–96.
3. Andrienko, G., Andrienko, N., Bosch, H., Ertl, T., Fuchs, G., Jankowski, P., Thom, D., Thematic patterns in georeferenced tweets through space–time visual analytics. Computing in Science & Engineering 15:3 (2013), 72–82.
4. Antoniou, V., Morley, J., Haklay, M., Web 2.0 geotagged photos: Assessing the spatial dimension of the phenomenon. Geomatica: The Journal of Geospatial Information, Technology and Practice 64:1 (2010), 99–110.
5. Barrington, L., Ghosh, S., Greene, M., Har-Noy, S., Berger, J., Gill, S., Huyck, C., Yu-Min Lin, A., Crowdsourcing earthquake damage assessment using remote sensing imagery. Annals of Geophysics, 54(6), 2012.
6. Bengtsson, L., Lu, X., Thorson, A., Garfield, R., von Schreeb, J., Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: A post-earthquake geospatial study in Haiti. PLoS Medicine, 8(8), 2011, e1001083.
7. Borgatti, S.P., Ofem, B., Overview: Social network theory and analysis. Daly, A.J., (eds.) The ties of change: Social network theory and application in education, 2010, Harvard Press, Cambridge, MA, 17–30.
8. Borgatti, S.P., Everett, M.G., Johnson, J.C., Analyzing social networks. 2013, Sage Publications, London.
9. Budak, C., Georgiou, T., Agrawal, D., El Abbadi, A., GeoScope: Online detection of geo-correlated information trends in social networks (2013). Proceedings of VLDB Endowment 7:4 (2013), 229–240.
10. Burns, R., Rethinking big data in digital humanitarianism: Practices, epistemologies, and social relations. GeoJournal 80:4 (2015), 477–490.
11. Camponovo, M.E., Freundschuh, S.M., Assessing uncertainty in VGI for emergency response. Cartography and Geographic Information Science 41:5 (2014), 440–455.
12. Casteleyn, S., Garrigós, I., Mazón, J.N., Ten years of rich internet applications: A systematic mapping study, and beyond. ACM Transactions on the Web, 8(3), 2014.
13. Chen, F., Zhai, Z., Madey, G., Dynamic adaptive disaster simulation: developing a predictive model of emergency behavior using cell phone and GIS data. Proceedings of the 2011 workshop on agent-directed simulation. San Diego, CA, USA, 2011, 5–12.
14. Chen, H., Chiang, R.H.L., Storey, V.C., Business intelligence and analytics: From big data to big impact. MIS Quarterly 26:4 (2012), 1165–1188.
15. Cheong, F., Cheong, C., Social media data mining: A social network analysis of tweets during the 2010–2011 Australian floods. PACIS 2011 proceedings, 2011.
16. Conover, M.D., Davis, C., Ferrara, E., McKelvey, K., Menczer, F., Flammini, A., The geospatial characteristics of a social movement communication network. PloS One, 8(3), 2013, e55957.
17. Corbane, C., Lemoine, G., Kauffmann, M., Relationship between the spatial distribution of SMS messages reporting needs and building damage in 2010 Haiti disaster. Natural Hazards and Earth System Sciences 12:2 (2012), 255–265.
18. Corvey, W.J., Vieweg, S., Rood, T., Palmer, M., Twitter in mass emergency: What NLP techniques can contribute. In proceedings of the NAACL HLT 2010 workshop on computational linguistics in a world of social media (WSA '10). Stroudsburg, PA, USA, 2010, 23–24.
19. Craglia, M., Ostermann, F., Spinsanti, L., Digital Earth from vision to practice: Making sense of citizen-generated content. International Journal of Digital Earth 5:5 (2012), 398–416.
20. Crampton, J.W., Graham, M., Poorthuis, A., Shelton, T., Stephens, M., Wilson, M.W., Zook, M., Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb. Cartography and Geographic Information Science 40:2 (2013), 130–139.
21. Crandall, D.J., Backstrom, L., Cosley, D., Suri, S., Huttenlocher, D., Kleinberg, J., Inferring social ties from geographic coincidences. PNAS 107:52 (2010), 22436–22441.
22. Crawford, K., Finn, M., The limits of crisis data: Analytical and ethical challenges of using social and mobile data to understand disasters. GeoJournal 80:4 (2015), 491–502.
23. Croitoru, A., Crooks, A., Radzikowski, J., Stefanidis, A., Geosocial gauge: A system prototype for knowledge discovery from social media. International Journal of Geographical Information Science 27:12 (2013), 2483–2508.
24. Crooks, A., Croitoru, A., Stefanidis, A., Radzikowski, J., #Earthquake: Twitter as a distributed sensor system. Transactions in GIS 17:1 (2013), 124–147.
25. Curtis, A., Mills, J.W., Spatial video data collection in a post-disaster landscape: The Tuscaloosa tornado of April 27th 2011. Applied Geography 32:2 (2012), 393–400.
26. Cutter, S.L., GI science, disasters, and emergency management. Transactions in GIS 7:4 (2003), 439–446.
27. Davis, C.A. Jr., Pappa, G.L., de Oliveira, D.R.R., de L Arcanjo, F., Inferring the location of Twitter messages based on user relationships. Transactions in GIS 15 (2011), 735–751.
28. de Albuquerque, J.P., Herfort, B., Brenning, A., Zipf, A., A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management. International Journal of Geographical Information Science 29:4 (2015), 667–689.
29. De Longueville, B., Annoni, A., Schade, S., Ostlaender, N., Whitmore, C., Digital Earth's nervous system for crisis events: Real-time sensor web enablement of volunteered geographic information. International Journal of Digital Earth 3:3 (2010), 242–259.
30. De Longueville, B., Luraschi, G., Smits, P., Peedell, S., de Groeve, T., Citizens as sensors for natural hazards: A VGI integration workflow. Geomatica 64:1 (2010), 355–363.
31. Diakopoulos, N., de Choudhury, M., Naaman, M., Finding and assessing social media information sources in the context of journalism. In proceedings of the SIGCHI conference on human factors in computing systems, 2012, ACM, New York, NY, USA, 2451–2460.
32. Earle, P., Earthquake Twitter. Nature Geoscience 3:4 (2010), 221–222.
33. Engström, E., Runeson, P., Software product line testing — A systematic mapping study. Information and Software Technology 53:1 (2011), 2–13.
34. Fisher, F., VGI as big data. GEO Informatics, 2012, 46–47 April/May 2012.
35. Foody, G.M., Rating crowdsourced annotations: Evaluating contributions of variable quality and completeness. International Journal of Digital Earth 7:8 (2014), 650–670.
36. Gelernter, J., Mushegian, N., Geo-parsing messages from microtext. Transactions in GIS 15:6 (2011), 753–773.
37. Girardin, F., Fiore, F.D., Ratti, C., Blat, J., Leveraging explicitly disclosed location information to understand tourist dynamics: A case study. Journal of Location-Based Services 2:1 (2008), 41–54.
38. González-Bailón, S., Wang, N., Rivero, A., Borge-Holthoefer, J., Moreno, Y., Assessing the bias in communication networks sampled from Twitter. 2012 (arXiv:1212.1684).
39. Goodchild, M., Citizens as sensor: The world of volunteered geography. GeoJournal 69:4 (2007), 211–221.
40. Goodchild, M., Li, L., Assuring the quality of volunteered geographic information of volunteered. Spatial Statistics 1 (2012), 110–120.
41. Haworth, B., Bruce, E., A review of volunteered geographic information for disaster management. Geography Compass 9 (2015), 237–250.
42. Hobel, H., Madlberger, L., Thön, A., Fenz, S., Visualisation of user-generated event information: Towards geospatial situation awareness using hierarchical granularity levels. CEUR workshop proceedings, 1329, 2014, 43–54.
43. Horita, F.E., Degrossi, L.C., Assis, L.F.G., Zipf, A., de Alburquerque, J.P., The use of volunteered geographic information and crowdsourcing in disaster management: A systematic literature review. Proceedings of 19th AMCIS. Chicago, USA, 2013, 1–10.
44. Horita, F.E., de Albuquerque, J.P., Degrossi, L.C., Mendiondo, E.M., Ueyama, J., Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks. Computers and Geosciences 80 (2015), 84–94.
45. Ikawa, Y., Enoki, M., Tatsubori, M., Location inference using microblog messages. Proceedings of the 21st international conference on World Wide Web. New York, NY, USA, 2012, 687–690.
46. Intagorn, S., Plangprasopchok, A., Lerman, K., Harvesting geospatial knowledge from social metadata. Proceedings of the 7th international ISCRAM conference. Seattle, USA, 2010.
47. Kalanteri, M., Rajabifard, A., Olfat, H., Williamson, I., Geospatial metadata 2.0 — An approach for volunteering geographic information. Computers. Environment and Urban Systems 48 (2014), 35–48.
48. Kent, J.D., Capello, H.T. Jr., Spatial patterns and demographic indicators of effective social media content during the Horsethief canyon fire of 2012. Cartography and Geographic Information Science 40:2 (2013), 78–89.
49. King, G., Ensuring the data-rich future of the social sciences. Science 331 (2011), 719–721.
50. Leek, J.T., Peng, R.D., What is the question?. Science 347:6228 (2015), 1314–1315.
51. Leek, J.T., Peng, R.D., Opinion: Reproducible research can still be wrong: Adopting a prevention approach. PNAS 112:6 (2015), 1645–1646.
52. Levental, S., A new geospatial services framework: How disaster preparedness efforts should integrate neogeography. Journal of Map and Geography Libraries 8:2 (2012), 134–162.
53. Liang, Y., Caverlee, J., Mander, J., Text vs. images: On the viability of social media to assess earthquake damage. Proceedings of the 22nd international conference on World Wide Web companion (WWW '13 companion), 2013, International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 1003–1006.
54. Lingad, J., Karimi, S., Yin, J., Location extraction from disaster-related microblogs. Proceedings of the 22nd international conference on World Wide Web, 2013, Republic and Canton of Geneva, Switzerland, 1017–1020.
55. Liu, W., Dong, P., Liu, S., Liu, J., A rich internet application for automated detection of road blockage in post-disaster scenarios. Proceedings — 2014 IEEE workshop on advanced research and technology in industry applications, 2014, WARTIA, 2014, 10.1088/1755-1315/18/1/012124.
56. Lue, E., Wilson, J.P., Curtis, A., Conducting disaster damage assessments with spatial video, experts, and citizens. Applied Geography 52 (2014), 46–54.
57. MacEachren, A.M., Jaiswal, A., Robinson, A.C., Pezanowski, S., Savelyev, A., Mitra, P.,.. Blanford, J., SensePlace2: GeoTwitter analytics support for situational awareness. IEEE conference on visual analytics science and technology (VAST), 2011, 181–190.
58. Mandel, B., Culotta, A., Boulahanis, J., Stark, D., Lewis, B., Rodrigue, J., A demographic analysis of online sentiment during hurricane Irene. Proceedings of the second workshop on language in social media, 2012, Association for Computational Linguistics, Stroudsburg, PA, USA, 27–36.
59. Manovich, L., Trending: The promises and the challenges of big social data. Gold, M., (eds.) Debates in digital humanities, 2012, Minnesota University Press.
60. Mayer-Schönberger, V., Cukier, K., Big data: A revolution that will transform how we live, works and think. 2013, John Murray, London.
61. McNamara, L., Rohner, C., Mining conversations of geographically changing users. Proceedings of the 21st international conference companion on World Wide Web. New York, NY, USA, 2012, 667–670.
62. Meier, P., Digital humanitarians: How big data is changing the face of humanitarian response. 2015, CRC Press, Boca Raton (FL).
63. Moon, S.P., Liu, Y., Entezari, S., Pirzadeh, A., Papas, A., Pfaff, M.S., Top health trends: An information visualization tool for awareness of local health trends. Proceedings of the 10th international ISCRAM conference. Baden-Baden, Germany, 2013.
64. Neis, P., Zielstra, D., Recent developments and future trends in volunteered geographic information research: The case of OpenStreetMap. Future Internet 6 (2014), 76–106.
65. OGC SWE, OGC's sensor web enablement (SWE) standards. http://www.opengeospatial.org/ogc/markets-technologies/swe, 2015.
66. Ortmann, J., Limbu, M., Wang, D., Kauppinen, T., Crowdsourcing linked open data for disaster management. Proceedings of the Terra Cognita Workshop on foundations, technologies and applications of the geospatial web. Bonn, Germany, 2011.
67. Ostermann, F.O., Granell, C., Advancing science with VGI: Reproducibility and replicability of recent studies using VGI. Transactions in GIS, 2016, 10.1111/tgis.12195.
68. Panteras, G., Wise, S., Lu, X., Croitoru, A., Crooks, A., Stefanidis, A., Triangulating social multimedia content for event localization using Flickr and Twitter: Triangulating social multimedia content for event localization. Transactions in GIS 19:5 (2015), 694–715.
69. Petersen, K., Feldt, R., Mujtaba, S., Mattsson, M., Systematic mapping studies in software engineering. 12th international conference on evaluation and assessment in software engineering (EASE), 2008, 71–80.
70. Pohl, D., Bouchachia, A., Hellwagner, H., Automatic identification of crisis-related sub-events using clustering. Proceedings of the international conference on machine learning and applications, 2012, 333–338.
71. Popoola, A., Krasnoshtan, D., Toth, A.P., Naroditskiy, V., Castillo, C., Meier, P., Rahwan, I., Information verification during natural disasters. Proceedings of the 22nd international conference on World Wide Web, 2013, Republic and Canton of Geneva, Switzerland, 1029–1032.
72. Poser, K., Dransch, D., Volunteered geographic information for disaster management with application to rapid flood damage estimation. Geomatica 64:1 (2010), 89–98.
73. Power, R., Robinson, B., Wise, C., Comparing web feeds and tweets for emergency management. In proceedings of the 22nd international conference on World Wide Web, 2013, Republic and Canton of Geneva, Switzerland, 1007–1010.
74. Robinson, B., Power, R., Cameron, M., A sensitive Twitter earthquake detector. Proceedings of the 22nd international conference on World Wide Web companion (WWW '13 companion), 2013, International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 999–1002.
75. Rogstadius, J., Teixeira, C., Vukovic, M., Kostakos, V., Karapanos, E., Laredo, J., CrisisTracker: Crowdsourced social media curation for disaster awareness. IBM Journal of Research and Development 57:5 (2013), 4:1–4:13.
76. Roick, O., Heuser, S., Location based social networks — Definition, current state of the art and research agenda. Transactions in GIS 17:5 (2013), 763–784.
77. Rutherford, A., Cebrian, M., Dsouza, S., Moro, E., Pentland, A., Rahwan, I., Limits of social mobilization. Proceedings of the National Academy of Sciences of the USA 110:16 (2013), 6281–6286.
78. Sagl, G., Blaschke, T., Beinat, E., Resch, B., Ubiquitous geo-sensing for context-aware analysis: Exploring relationships between environmental and human dynamics. Sensors 12 (2012), 9800–9822.
79. Santamaria, E., Segor, F., Tchouchenkov, I., Rapid aerial mapping with multiple heterogeneous unmanned vehicles. Proceedings of the 10th international ISCRAM conference – Baden-Baden, Germany, 2013.
80. Scarletto, E.A., Mapping the literature of GIS. College and Research Libraries 75:2 (2014), 179–201.
81. Schade, S., Díaz, L., Ostermann, F., Spinsanti, L., Luraschi, G., Cox, S.,.. De Longueville, B., Citizen-based sensing of crisis events: Sensor web enablement for volunteered geographic information. Applied Geomatics 5:1 (2013), 3–18.
82. Schelhorn, S.J., Herfort, B., Leiner, R., Zipf, A., De Albuquerque, J.P., Identifying elements at risk from OpenStreetMap: The case of flooding. Proceedings of the 11th international ISCRAM conference, 2014, University Park, USA, 508–512.
83. Schulz, A., Paulheim, H., Probst, F., Crisis information management in the Web 3.0 age. Proceedings of the 9th international ISCRAM conference. Vancouver, Canada, 2012.
84. Shelton, T., Poorthuis, A., Graham, M., Zook, M., Mapping the data shadows of Hurricane Sandy: Uncovering the sociospatial dimensions of ‘big data. Geoforum 52 (2014), 167–179.
85. Shih, G., Twitter activity spiked during Hurricane Sandy: Over 20 million tweets about the disaster this week. 2012, The Huffington Post (11/02/2012. http://www.huffingtonpost.com/2012/11/02/twitter-hurricane-sandy_n_2066281.html).
86. Spinsanti, L., Ostermann, F., Automated geographic context analysis for volunteered information. Applied Geography 43 (2013), 36–44.
87. Stefanidis, A., Cotnoir, A., Croitoru, A., Crooks, A., Rice, M., Radzikowski, J., Demarcating new boundaries: Mapping virtual polycentric communities through social media content. Cartography and Geographic Information Science 40:2 (2013), 116–129.
88. Steiger, E., Porto de Albuquerque, J., Zipf, A., An advanced systematic literature review on spatiotemporal analysis of Twitter data. Transactions in GIS 19 (2015), 809–834.
89. Stephens, M., Poorthuis, A., Follow thy neighbor: Connecting the social and the spatial networks on Twitter. Computers, Environment and Urban Systems 53 (2015), 87–95.
90. Tatsubori, M., Watanabe, H., Shibayama, A., Sato, S., Imamura, F., Social web in disaster archives. Proceedings of the 21st international conference on World Wide Web. New York, USA, 2012, 715–716.
91. Tsou, M.H., Leitner, M., Visualization of social media: Seeing a mirage or a message?. Cartography and Geographic Information Science 40:2 (2013), 55–60.
92. Wachowicz, M., New frontiers for geomatics. GIM International, 27(10), 2013.
93. Wang, J., Pierce, M., Yu, M., Fox, G., Donnellan, A., Parker, J., Glasscoe, M., Using service-based GIS to support earthquake research and disaster response. Computing in Science & Engineering 14:5 (2012), 21–30.
94. Wirz, M., Franke, T., Roggen, D., Mitleton-Kelly, E., Lukowicz, P., Tröster, G., Probing crowd density through smartphones in city-scale mass gatherings. EPJ Data Science, 2, 2013, 5.
95. Zaltz Austwick, M., O'Brien, O., Strano, E., Viana, M., The Structure of Spatial Networks and Communities in Bicycle Sharing Systems. PLoS ONE, 8(9), 2013, e74685.
96. Zhang, C., Zhao, T., Li, W., Towards an interoperable online volunteered geographic information system for disaster response. Journal of Spatial Science 60:2 (2014), 257–275.
97. Zielinski, A., et al. Social media text mining and network analysis for decision support in natural crisis management. Proceedings of the 10th international ISCRAM conference. Baden-Baden, Germany, 2013.