Harness Human Sensor Networks for Situational Awareness in Disaster Reliefs: A Survey

Abstract Complete, accurate, and up-to-the-minute situational awareness can help disaster relief organizations stabilize the dangers and prevent further losses. Social media (SM) users can be regarded as human sensors since they are analogous to the response of physical sensors to stimuli. Human sensor network (HSN) provides a way to capture situational awareness information coming directly from the grassroots observers in the disasters. The disaster relief organizations can utilize the HSN data to gain the real-time live situations. It saves time and money. This paper surveys on the works of viewing SM as HSNs and extract the situational awareness information from HSN in disaster reliefs. It is found that HSN data, used together with other scientific data, can contribute to better situational awareness in the disaster reliefs.

[1]  A. Kansal,et al.  Building a Sensor Network of Mobile Phones , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[2]  Anupam Joshi,et al.  Characterization of social media response to natural disasters , 2012, WWW.

[3]  Deborah Bunker,et al.  Crowd Sourcing Challenges Assessment Index for Disaster Management , 2012, AMCIS.

[4]  Dave Yates,et al.  Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake , 2011, Int. J. Inf. Manag..

[5]  Jennie Wan Man Lai,et al.  Utilizing Facebook application for disaster relief: Social network analysis of American Red Cross cause joiners , 2010 .

[6]  Sameep Mehta,et al.  Harnessing the crowds for smart city sensing , 2012, CrowdSens '12.

[7]  Jie Yin,et al.  Using Social Media to Enhance Emergency Situation Awareness , 2012, IEEE Intelligent Systems.

[8]  Ying Zhang,et al.  Statistically Modeling the Effectiveness of Disaster Information in Social Media , 2011, 2011 IEEE Global Humanitarian Technology Conference.

[9]  Lei Shu,et al.  Sharing Worldwide Sensor Network , 2008, 2008 International Symposium on Applications and the Internet.

[10]  S. Gorman,et al.  Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake , 2010 .

[11]  Anthony Stefanidis,et al.  #Earthquake: Twitter as a Distributed Sensor System , 2013, Trans. GIS.

[12]  R. Merchant,et al.  Integrating social media into emergency-preparedness efforts. , 2011, The New England journal of medicine.

[13]  Helen L. Partridge,et al.  Exploring information experience using social media during the 2011 Queensland Floods: a pilot study , 2012 .

[14]  Jeannette N. Sutton,et al.  Twittering Tennessee: Distributed networks and collaboration following a technological disaster , 2010, ISCRAM.

[15]  Ashir Ahmed,et al.  Use of Social Media in Disaster Management , 2011, ICIS.

[16]  Michiaki Tatsubori,et al.  Social web in disaster archives , 2012, WWW.

[17]  Franco Zambonelli,et al.  Social sensors and pervasive services: Approaches and perspectives , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[18]  Theus Hossmann,et al.  Twitter in disaster mode: opportunistic communication and distribution of sensor data in emergencies , 2011 .

[19]  José A. Pino,et al.  MobileMap: A collaborative application to support emergency situations in urban areas , 2009, 2009 13th International Conference on Computer Supported Cooperative Work in Design.

[20]  Rongjuan Chen,et al.  Perspective Matters: Sharing of Crisis Information in Social Media , 2013, 2013 46th Hawaii International Conference on System Sciences.

[21]  Hiroko Wilensky.  Disaster symbolism and social media , 2012, CHI EA '12.

[22]  Amit P. Sheth,et al.  Citizen Sensing, Social Signals, and Enriching Human Experience , 2009, IEEE Internet Computing.

[23]  S. Cox,et al.  Citizen-based sensing of crisis events: sensor web enablement for volunteered geographic information , 2013 .

[24]  Takahiro Hara,et al.  The new challenge: mobile multimedia sensor networks , 2011, Int. J. Multim. Intell. Secur..

[25]  Tinghuai Ma,et al.  Review of Sensor-based Activity Recognition Systems , 2011 .

[26]  Larissa Hjorth,et al.  The Mourning After , 2011 .

[27]  Milton Halem,et al.  Human Sensor Networks for Improved Modeling of Natural Disasters , 2012, Proceedings of the IEEE.

[28]  Nancy Mock,et al.  Traditional and Social Media Coverage and Charitable Giving Following the 2010 Earthquake in Haiti , 2012, Prehospital and Disaster Medicine.

[29]  Tinghuai Ma,et al.  Grid Task Scheduling: Algorithm Review , 2011 .

[30]  E. Noji,et al.  (A335) Emergent use of Social Media: A New Age of Opportunity for Disaster Resilience , 2011, Prehospital and Disaster Medicine.

[31]  Nicki Dabner,et al.  'Breaking Ground' in the use of social media: A case study of a university earthquake response to inform educational design with Facebook , 2012, Internet High. Educ..

[32]  Starr Roxanne Hiltz,et al.  Introduction: Social media and collaborative systems for crisis management , 2011, TCHI.

[33]  Hichem Snoussi,et al.  Multi-layer Crisis Mapping: A Social Media-Based Approach , 2012, 2012 IEEE 21st International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises.

[34]  Huiji Gao,et al.  Harnessing the Crowdsourcing Power of Social Media for Disaster Relief , 2011, IEEE Intelligent Systems.

[35]  Chen Huang,et al.  Microblogging after a major disaster in China: a case study of the 2010 Yushu earthquake , 2011, CSCW.