1,056
Views
17
CrossRef citations to date
0
Altmetric
Articles

Rapid estimation of an earthquake impact area using a spatial logistic growth model based on social media data

, , &
Pages 1265-1284 | Received 08 Jan 2018, Accepted 02 Jul 2018, Published online: 12 Jul 2018

References

  • Amit, Sheth, Purohit Hemant, Smith Gary Alan, Brunn Jeremy, Jadhav Ashutosh, Kapanipathi Pavan, Lu Chen, and Wang Wenbo. 2014. “Twitris: A System for Collective Social Intelligence.” In Encyclopedia of Social Network Analysis and Mining, edited by Alhajj Reda, and Rokne Jon, 2240–2253. New York: Springer-Verlag New York.
  • Atkinson, Gail M., and David J. Wald. 2007. ““Did You Feel It?” Intensity Data: A Surprisingly Good Measure of Earthquake Ground Motion.” Seismological Research Letters 78 (3): 362–368. doi:10.1785/gssrl.78.3.362.
  • Badal, José, Miguel Vázquez-prada, and Álvaro González. 2005. “Preliminary Quantitative Assessment of Earthquake Casualties and Damages.” Natural Hazards 34 (3): 353–374. doi:10.1007/s11069-004-3656-6.
  • Baranyi, József, and Carmen Pin. 2001. “A Parallel Study on Bacterial Growth and Inactivation.” Journal of Theoretical Biology 210 (3): 327–336. doi:10.1006/jtbi.2001.2312.
  • Bhowmick, Amiya Ranjan, and Sabyasachi Bhattacharya. 2014. “A new Growth Curve Model for Biological Growth: Some Inferential Studies on the Growth of Cirrhinus Mrigala.” Mathematical Biosciences 254: 28–41. doi:10.1016/j.mbs.2014.06.004.
  • Bright, Eddie A., Amy N. Rose, and Marie L. Urban. 2013. “LandScan 2012.” In. Oak Ridge, TN: Oak Ridge National Laboratory. http://www.ornl.gov/landscan/.
  • Burks, L., M. Miller, and R. Zadeh. 2014. “Rapid Estimate of Ground Shaking Intensity by Combining Simple Earthquake Characteristics with Tweets.” Paper presented at the 10th US Nat. conf. earthquake Eng., front. earthquake Eng., Anchorage, AK, USA, Jul. 21Y25.
  • Carlos, Castillo, Mendoza Marcelo, and Poblete Barbara. 2013. “Predicting Information Credibility in Time-Sensitive Social Media.” Internet Research: Electronic Networking Applications and Policy 23 (5): 560–588. doi:10.1108/IntR-05-2012-0095.
  • Cresci, Stefano, Andrea Cimino, Felice Dell’Orletta, and Maurizio Tesconi. 2015. “Crisis Mapping During Natural Disasters via Text Analysis of Social Media Messages.” In Web Information Systems Engineering – WISE 2015: 16th International Conference, Miami, FL, USA, November 1-3, 2015, Proceedings, Part II, edited by Jianyong Wang, Wojciech Cellary, Dingding Wang, Hua Wang, Shu-Ching Chen, Tao Li and Yanchun Zhang, 250–258. Cham: Springer International Publishing. doi:10.1007/978-3-319-26187-4_21.
  • Cresci, Stefano, Maurizio Tesconi, Andrea Cimino, and Felice Dell’Orletta. 2015. “A Linguistically-driven Approach to Cross-Event Damage Assessment of Natural Disasters From Social Media Messages.” In Proceedings of the 24th International Conference on World Wide Web, ACM, New York, NY, USA, 1195–1200. Florence: ACM. doi:10.1145/2740908.2741722.
  • Crooks, Andrew, Arie Croitoru, Anthony Stefanidis, and Jacek Radzikowski. 2013. “#Earthquake: Twitter as a Distributed Sensor System.” Transactions in GIS 17 (1): 124–147. doi:10.1111/j.1467-9671.2012.01359.x.
  • Dawed, Mohammed Yiha, Purnachandra Rao Koya, and Ayele Taye Goshu. 2014. “Mathematical Modelling of Population Growth: The Case of Logistic and Von Bertalanffy Models.” Open Journal of Modelling and Simulation 2 (04): 113–126. doi:10.4236/ojmsi.2014.24013.
  • Earle, Paul S., Daniel C. Bowden, and Michelle R. Guy. 2011. “Twitter Earthquake Detection: Earthquake Monitoring in a Social World.” Annals of Geophysics 54 (6): 708–715. doi:10.4401/ag-5364.
  • Earle, Paul, Michelle Guy, Richard Buckmaster, Chris Ostrum, Scott Horvath, and Amy Vaughan. 2010. “OMG Earthquake! Can Twitter Improve Earthquake Response?” Seismological Research Letters 81 (2): 246–251. doi:10.1785/gssrl.81.2.246.
  • Enrico, Steiger, Albuquerque João Porto, and Zipf Alexander. 2015. “An Advanced Systematic Literature Review on Spatiotemporal Analyses of Twitter Data.” Transactions in GIS 19 (6): 809–834. doi:10.1111/tgis.12132.
  • Fontugne, Romain, Kenjiro Cho, Youngjoon Won, and Kensuke Fukuda. 2011. “Disasters Seen Through Flickr Cameras.” In Proceedings of the Special Workshop on Internet and Disasters, ACM, New York, NY, USA, 1–10. Tokyo: ACM. doi:10.1145/2079360.2079365.
  • Goodchild, Michael F. 2007. “Citizens as Sensors: the World of Volunteered Geography.” GeoJournal 69 (4): 211–221. doi:10.1007/s10708-007-9111-y.
  • Goodchild, Michael F., and J. Alan Glennon. 2010. “Crowdsourcing Geographic Information for Disaster Response: A Research Frontier.” International Journal of Digital Earth 3 (3): 231–241. doi:10.1080/17538941003759255.
  • Goolsby, Rebecca. 2010. “Social Media as Crisis Platform: The Future of Community Maps/Crisis Maps.” ACM Transactions on Intelligent Systems and Technology 1 (1): 1–11. doi:10.1145/1858948.1858955.
  • Guy, Michelle, Paul Earle, Chris Ostrum, Kenny Gruchalla, and Scott Horvath. 2010. “Integration and Dissemination of Citizen Reported and Seismically Derived Earthquake Information via Social Network Technologies.” International Conference on Advances in Intelligent Data Analysis 2010: 42–53. doi:10.1007/978-3-642-13062-5_6.
  • Huang, Qunying, and Yu Xiao. 2015. “Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery.” ISPRS International Journal of Geo-Information 4 (3): 1549–1568. doi:10.3390/ijgi4031549.
  • Judith, Gelernter, and Mushegian Nikolai. 2011. “Geo-Parsing Messages From Microtext.” Transactions in GIS 15 (6): 753–773. doi:10.1111/j.1467-9671.2011.01294.x.
  • Kim, Kyoung-Sook, Ryong Lee, and Koji Zettsu. 2011. “mTrend:Discovery of Topic Movements on geo-Microblogging Messages.” ACM Sigspatial International Conference on Advances in Geographic Information Systems 2011: 529–532. doi:10.1145/2093973.2094066.
  • Kropivnitskaya, Yelena, Kristy F. Tiampo, Jinhui Qin, and Michael A. Bauer. 2017. “The Predictive Relationship Between Earthquake Intensity and Tweets Rate for Real-Time Ground-Motion Estimation.” Seismological Research Letters 88 (3): 840–850. doi:10.1785/0220160215.
  • Kryvasheyeu, Yury, Haohui Chen, Nick Obradovich, Esteban Moro, Pascal Van Hentenryck, James Fowler, and Manuel Cebrian. 2016. “Rapid Assessment of Disaster Damage Using Social Media Activity.” Science Advances 2 (3), doi:10.1126/sciadv.1500779.
  • Li, Zhenlong, Cuizhen Wang, Christopher T. Emrich, and Diansheng Guo. 2018. “A Novel Approach to Leveraging Social Media for Rapid Flood Mapping: a Case Study of the 2015 South Carolina Floods.” Cartography and Geographic Information Science 45 (2): 97–110. doi:10.1080/15230406.2016.1271356.
  • Mizunuma, Yuhiro, Shuhei Yamamoto, Yutaro Yamaguchi, Atsushi Ikeuchi, Tetsuji Satoh, and Satoshi Shimada. 2014. “Twitter bursts: Analysis of their occurrences and classifications.” Paper presented at the ICDS. http://www.thinkmind.org/download.php?articleid=icds_2014_7_40_10139.
  • Murakami, Akiko, and Tetsuya Nasukawa. 2012. “Tweeting About the Tsunami?: Mining Twitter for Information on the Tohoku Earthquake and Tsunami.” International World Wide Web Conferences 2012: 709–710. doi:10.1145/2187980.2188187.
  • Nagarajan, Meenakshi, Karthik Gomadam, Amit P. Sheth, Ajith Ranabahu, Raghava Mutharaju, and Ashutosh Jadhav. 2009. “Spatio-Temporal-Thematic Analysis of Citizen Sensor Data: Challenges and Experiences.” Lecture Notes in Computer Science 5802: 539–553. doi:10.1007/978-3-642-04409-0_52.
  • Panagiota, Matsuka, Chanussot Jocelyn, and Pathier Erwan. 2011. “State of the art on remote sensing for vulnerability and damage assessment on urban context.” URBASIS Consort: Grenoble, France.
  • Re, Giuseppe Del. 2000. “Models and Analogies in Science.” Hyle International Journal for Philosophy of Chemistry 6 (1): 5–15. http://www.hyle.org/journal/issues/6/delre.pdf.
  • Resch, Bernd, Florian Usländer, and Clemens Havas. 2018. “Combining Machine-Learning Topic Models and Spatiotemporal Analysis of Social Media Data for Disaster Footprint and Damage Assessment.” Cartography and Geographic Information Science 45 (4): 362–376. doi:10.1080/15230406.2017.1356242.
  • Robinson, Bella, Robert Power, and Mark Cameron. 2013. “A Sensitive Twitter Earthquake Detector.” In Proceedings of the 22nd International Conference on World Wide Web, ACM, New York, NY, USA, 999–1002. Rio de Janeiro: ACM. doi:10.1145/2487788.2488101.
  • Ryoo, KyoungMin, and Sue Moon. 2014. “Inferring Twitter User Locations with 10 km Accuracy.” In Proceedings of the 23rd International Conference on World Wide Web, ACM, New York, NY, USA, 643–648. Seoul: ACM. doi:10.1145/2567948.2579236.
  • Sakaki, Takeshi, Makoto Okazaki, and Yutaka Matsuo. 2010. “Earthquake Shakes Twitter Users: Real-Time Event Detection by Social Sensors.” In Proceedings of the 19th International Conference on World Wide Web, ACM, New York, NY, USA, 851–860. Raleigh, NC: ACM. doi:10.1145/1772690.1772777.
  • Sakaki, T., M. Okazaki, and Y. Matsuo. 2013. “Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development.” IEEE Transactions on Knowledge and Data Engineering 25 (4): 919–931. doi:10.1109/TKDE.2012.29.
  • Sakaki, Takeshi, Fujio Toriumi, and Yutaka Matsuo. 2011. “Tweet Trend Analysis in an Emergency Situation.” In Proceedings of the Special Workshop on Internet and Disasters, ACM, New York, NY, USA, 1–8. Tokyo: ACM. doi:10.1145/2079360.2079363.
  • Sheth, Amit. 2009. “Citizen Sensing, Social Signals, and Enriching Human Experience.” IEEE Internet Computing 13 (4): 87–92. doi:10.1109/mic.2009.77.
  • Steiger, Enrico, Rene Westerholt, and Alexander Zipf. 2016. “Research on Social Media Feeds – A GIScience Perspective.” In European Handbook of Crowdsourced Geographic Information, edited by C. Capineri, M. Haklay, H. Huang, V. Antoniou, J. Kettunen, F. Ostermann, and R. Purves, 237–254. London: Ubiquity Press.
  • Suykens, J. A. K., and J. Vandewalle. 1999. “Least Squares Support Vector Machine Classifiers.” Neural Processing Letters 9 (3): 293–300. doi:10.1023/a:1018628609742.
  • Symonds, Matthew R. E., and Adnan Moussalli. 2011. “A Brief Guide to Model Selection, Multimodel Inference and Model Averaging in Behavioural Ecology Using Akaike’s Information Criterion.” Behavioral Ecology and Sociobiology 65 (1): 13–21. doi:10.1007/s00265-010-1037-6.
  • Tourres, Marie-Aimee. 2003. “Technological Revolutions and Financial Capital: The Dynamics of Bubbles and Golden Ages.” Journal of Economic Issues 37 (3): 833–835. doi:10.1080/00213624.2003.11506628.
  • Tsoularis, A., and J. Wallace. 2002. “Analysis of Logistic Growth Models.” Mathematical Biosciences 179 (1): 21–55. doi:10.1016/S0025-5564(02)00096-2.
  • Wang, Yuan Zhi, Jia Jie Sun, Lian Xing Liu, and Fei Sheng. 2007. “Thinking About Introducing Space Sequence Concept.” [In Chinese.] Journal of Shenyang Institute of Engineering 3 (2): 179–180. doi:10.13888/j.cnki.jsie(ns).2007.02.026.
  • Wood, H. O., and F., Neumann. 1931. “Modified Mercalli Intensity Scale of 1931.” Bulletin of the Seismological Society of America 21 (4): 277–283. http://www.bssaonline.org/content/21/4/277.accessible-long.
  • Xu, Chong, Xiwei Xu, Fuchu Dai, Zhide Wu, Honglin He, Feng Shi, Xiyan Wu, and Suning Xu. 2013. “Application of an Incomplete Landslide Inventory, Logistic Regression Model and its Validation for Landslide Susceptibility Mapping Related to the May 12, 2008 Wenchuan Earthquake of China.” Natural Hazards 68 (2): 883–900. doi:10.1007/s11069-013-0661-7.
  • Xu, Zhiheng, Yang Zhang, Yao Wu, and Qing Yang. 2012. “Modeling User Posting Behavior on Social Media.” In Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, New York, NY, USA, 545–554. Portland, OR: ACM. doi:10.1145/2348283.2348358.
  • Yang, Tian Qing, X. I. Nan, Yi Zhang, and L. I. Jie-Fei. 2016. “Fast Determination Method of Seismic Intensity Distribution Based on Discrete Disaster Information.” [In Chinese.] Earthquake 36 (2): 48–59. doi:10.3969/j.issn.1000-3274.2016.02.005.
  • Zhu, J., F. Xiong, D. Piao, Y. Liu, and Y. Zhang. 2011. “Statistically Modeling the Effectiveness of Disaster Information in Social Media.” Paper presented at the 2011 IEEE global humanitarian technology conference, Oct. 30 2011–Nov. 1 2011.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.