Implementing a real-time Twitter-based system for resource dispatch in disaster management

Chen, Xiannian; Elmes, Gregory; Ye, Xinyue; Chang, Jinhua

doi:10.1007/s10708-016-9745-8

Cited by 41 publications

(19 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Palen et al (2009) examined the consequences of digital communication and information sharing on emergency response in the context of the Virginia Tech massacre. Chen et al (2016) proposed real-time geo-tagged tweet collection and recording in a distributed geodatabase as well as real-time data redistribution using a Web GIS application. This system was applied to a hypothetical mass evacuation using tweets from Hurricane Joaquin in 2015.…”

Section: Emergency Responsementioning

confidence: 99%

Social Media and Social Awareness

Zhao

Nguyen

et al. 2019

Manual of Digital Earth

Self Cite

View full text Add to dashboard Cite

The human behaviors and interactions on social media have maintained themselves as highly dynamic real-time social systems representing individual social awareness at fine spatial, temporal, and digital resolutions. In this chapter, we introduce the opportunities and challenges that human dynamics-centered social media bring to Digital Earth. We review the information diffusion of social media, the multi-faced implications of social media, and some real-world cases. Social media, on one hand, has facilitated the prediction of human dynamics in a wide spectrum of aspects, including public health, emergency response, decision making, and social equity promotion, and will also bring unintended challenges for Digital Earth, such as rumors and location spoofing on the other. Considering the multifaceted implications, this chapter calls for GIScientists to raise their awareness of the complex impacts of social media, to model the geographies of social media, and to understand ourselves as a unique species living both on the Earth and in Digital Earth. Keywords Social media • Human dynamics • Social awareness • Location spoofing 12.1 Introduction: Electronic Footprints on Digital Earth Geo-positioning system-enabled instruments can record and reveal personal awareness at fine spatial, temporal, and digital resolutions (Siła-Nowicka et al. 2016; Li et al. 2017; Ye and Liu 2019). With an exponential growth, human dynamics data are retrieved from location-aware devices, leading to a revolutionary research agenda regarding what happens where and when in the everyday lives of people in both real and virtual worlds (Batty 2013; Yao et al. 2019). Many location-based social media

show abstract

Section: Emergency Responsementioning

confidence: 99%

Social Media and Social Awareness

Zhao

Nguyen

et al. 2019

Manual of Digital Earth

Self Cite

View full text Add to dashboard Cite

show abstract

“…In recent years, global demand for near real-time (NRT) information on natural disasters has increased considerably [18][19][20]. Time is vital during a disaster event [21] in order to evacuate vulnerable people at risk, minimise the socio-economic, ecologic and cultural impact of the event and restore society to normal as soon as possible [21].…”

Section: Flood and Flood Impact Detectionmentioning

confidence: 99%

A Review of the Internet of Floods: Near Real-Time Detection of a Flood Event and Its Impact

Ackere

Verbeurgt

Sloover

et al. 2019

Water

View full text Add to dashboard Cite

Worldwide, flood events frequently have a dramatic impact on urban societies. Time is key during a flood event in order to evacuate vulnerable people at risk, minimize the socio-economic, ecologic and cultural impact of the event and restore a society from this hazard as quickly as possible. Therefore, detecting a flood in near real-time and assessing the risks relating to these flood events on the fly is of great importance. Therefore, there is a need to search for the optimal way to collect data in order to detect floods in real time. Internet of Things (IoT) is the ideal method to bring together data of sensing equipment or identifying tools with networking and processing capabilities, allow them to communicate with one another and with other devices and services over the Internet to accomplish the detection of floods in near real-time. The main objective of this paper is to report on the current state of research on the IoT in the domain of flood detection. Current trends in IoT are identified, and academic literature is examined. The integration of IoT would greatly enhance disaster management and, therefore, will be of greater importance into the future.

show abstract

“…Wang and Taylor [42,43] explored geo-tagged tweets to extract spatiotemporal human mobility patterns in different disasters such as a hurricane, typhoon, earthquake, storm, and wildfire. Real-time tools for relevant tweet discovery and their spatial visualization during emergency situations were developed in [6,7]. Martin et al [30] applied the techniques in [6,7] to a case study of hurricane Mathew to evaluate the potential for social media to assist in the quantification of evacuation participation and compliance by residents.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Real-time tools for relevant tweet discovery and their spatial visualization during emergency situations were developed in [6,7]. Martin et al [30] applied the techniques in [6,7] to a case study of hurricane Mathew to evaluate the potential for social media to assist in the quantification of evacuation participation and compliance by residents. Next, we describe the Hurricane Sandy Twitter dataset used in this study.…”

Section: Literature Reviewmentioning

confidence: 99%

Utilizing Geo-tagged Tweets to Understand Evacuation Dynamics during Emergencies

Kumar

Ukkusuri

2018

Companion of the the Web Conference 2018 on the Web Conference 2018 - WWW '18

View full text Add to dashboard Cite

Hurricane evacuation is a complex process and a better understanding of the evacuation behavior of the coastal residents could be helpful in planning better evacuation policy. Traditionally, various aspects of the household evacuation decisions have been determined by post-evacuation questionnaire surveys, which are usually time-consuming and expensive. Increased activity of users on social media, especially during emergencies, along with the geo-tagging of the posts, provides an opportunity to gain insights into user's decision-making process, as well as to gauge public opinion and activities using the social media data as a supplement to the traditional survey data. This paper leverages the geo-tagged Tweets posted in the New York City (NYC) in wake of Hurricane Sandy to understand the evacuation behavior of the residents. Based on the geo-tagged Tweet locations, we classify the NYC Twitter users into one of the three categories: outside evacuation zone, evacuees, and non-evacuees and examine the types of Tweets posted by each group during different phases of the hurricane. We establish a strong link between the social connectivity with the decision of the users to evacuate or stay. We analyze the geo-tagged Tweets to understand evacuation and return time and evacuation location patterns of evacuees. The analysis presented in this paper could be useful for authorities to plan a better evacuation campaign to minimize the risk to the life of the residents of the emergency hit areas.

show abstract

Implementing a real-time Twitter-based system for resource dispatch in disaster management

Cited by 41 publications

References 16 publications

Social Media and Social Awareness

Social Media and Social Awareness

A Review of the Internet of Floods: Near Real-Time Detection of a Flood Event and Its Impact

Utilizing Geo-tagged Tweets to Understand Evacuation Dynamics during Emergencies

Contact Info

Product

Resources

About