CrowdSA — towards adaptive and situation-driven crowd-sensing for disaster situation awareness

2015 ◽  
Author(s):  
Andrea Salfinger ◽  
Werner Retschitzegger ◽  
Wieland Schwinger ◽  
Birgit Pröll
Keyword(s):  
Situation Awareness ◽  
Crowd Sensing ◽  
Disaster Situation

Towards a Crowd-Sensing Enhanced Situation Awareness System for Crisis Management

2016 ◽  
pp. 177-211 ◽  
Author(s):  
Andrea Salfinger ◽  
Werner Retschitzegger ◽  
Wieland Schwinger ◽  
Birgit Pröll
Keyword(s):  
Crisis Management ◽  
Situation Awareness ◽  
Crowd Sensing ◽  
Awareness System

Citizen-to-Citizen Resource Sharing in Emergency Response

Crowdsourcing ◽  
2019 ◽  
pp. 578-605
Author(s):  
Soon Ae Chun ◽  
Jaideep S. Vaidya ◽  
Vijayalakshmi Atluri ◽  
Basit Shafiq ◽  
Nabil R. Adam
Keyword(s):  
Citizen Participation ◽  
Emergency Response ◽  
Situation Awareness ◽  
Resource Sharing ◽  
Large Scale ◽  
Situational Awareness ◽  
Government Agencies ◽  
Mobile Crowdsourcing ◽  
Disaster Situation ◽  
The Government

During large-scale manmade or natural disasters, such as Superstorm Sandy and Hurricanes Harvey and Irma, collaborations among government agencies, NGOs, and businesses need to be coordinated to provide necessary resources to respond to emergency events. However, resources from citizens themselves are underutilized, such as their equipment or expertise. The citizen participation via social media enhanced the situational awareness, but the response management is still mainly handled by the government or government-sanctioned partners. By harnessing the power of citizen crowdsourcing, government agencies can create enhanced disaster situation awareness and facilitate effective utilization of resources provided by citizen volunteers, resulting in more effective disaster responses. This chapter presents a public engagement in emergency response (PEER) framework that provides an online and mobile crowdsourcing platform for incident reporting and citizens' resource volunteering as well as an intelligent recommender system to match-make citizen resources with emergency tasks.

Citizen-to-Citizen Resource Sharing in Emergency Response

2018 ◽  
pp. 130-164 ◽  
Author(s):  
Soon Ae Chun ◽  
Jaideep S. Vaidya ◽  
Vijayalakshmi Atluri ◽  
Basit Shafiq ◽  
Nabil R. Adam
Keyword(s):  
Citizen Participation ◽  
Emergency Response ◽  
Situation Awareness ◽  
Resource Sharing ◽  
Large Scale ◽  
Situational Awareness ◽  
Government Agencies ◽  
Mobile Crowdsourcing ◽  
Disaster Situation ◽  
The Government

During large-scale manmade or natural disasters, such as Superstorm Sandy and Hurricanes Harvey and Irma, collaborations among government agencies, NGOs, and businesses need to be coordinated to provide necessary resources to respond to emergency events. However, resources from citizens themselves are underutilized, such as their equipment or expertise. The citizen participation via social media enhanced the situational awareness, but the response management is still mainly handled by the government or government-sanctioned partners. By harnessing the power of citizen crowdsourcing, government agencies can create enhanced disaster situation awareness and facilitate effective utilization of resources provided by citizen volunteers, resulting in more effective disaster responses. This chapter presents a public engagement in emergency response (PEER) framework that provides an online and mobile crowdsourcing platform for incident reporting and citizens' resource volunteering as well as an intelligent recommender system to match-make citizen resources with emergency tasks.

scholarly journals Post Disaster Situation Awareness and Decision Support Through Interactive Crowdsourcing

2016 ◽  
Vol 159 ◽  
pp. 167-173 ◽  
Author(s):  
Moumita Basu ◽  
Somprakash Bandyopadhyay ◽  
Saptarshi Ghosh
Keyword(s):  
Decision Support ◽  
Situation Awareness ◽  
Disaster Situation ◽  
Post Disaster

Role of human behaviour attributes in mobile crowd sensing: a systematic literature review

2017 ◽  
Vol 19 (2) ◽  
pp. 168-185 ◽  
Author(s):  
Neetima Agarwal ◽  
Sumedha Chauhan ◽  
Arpan Kumar Kar ◽  
Sandeep Goyal
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Situation Awareness ◽  
Human Behaviour ◽  
New Paradigm ◽  
Mobile Crowd Sensing ◽  
Content Type ◽  
Crowd Sensing ◽  
Mobile Crowd

Purpose Mobile crowd sensing (MCS) is a new paradigm enabled by Internet of Things (IoT) in which sensor-rich ubiquitous devices collect and share the data over a large geography. Human behaviour attributes (perception, comprehension and projection) play a key role in the decision-making process for sharing and processing the data. This study aims to understand how situation awareness plays an important role in MCS in an IoT ecosystem. Design/methodology/approach A systematic literature review was conducted by following a rigorous search protocol that identified a total of 470 peer-reviewed research papers. These papers were further filtered and finally 31 relevant papers were selected. Findings The major issues and concerns arising due to human participation in the MCS system were identified. Further, probable strategies were explored to deal with the challenges resulting due to certain human behaviour attributes. Practical implications This study provides the recommendations to address the major challenges related to the MCS system, which in turn may enhance the adoption of emerging smart technology-driven services. Originality/value The study is original and is based on the existing literature and its interpretation.

scholarly journals A Twitter Data Credibility Framework—Hurricane Harvey as a Use Case

2019 ◽  
Vol 8 (3) ◽  
pp. 111 ◽  
Author(s):  
Jingchao Yang ◽  
Manzhu Yu ◽  
Han Qin ◽  
Mingyue Lu ◽  
Chaowei Yang
Keyword(s):  
Social Media ◽  
Situation Awareness ◽  
Text Messages ◽  
Use Case ◽  
Social Media Data ◽  
The Past ◽  
Twitter Data ◽  
Disaster Situation ◽  
Data Credibility ◽  
Media Data

Social media data have been used to improve geographic situation awareness in the past decade. Although they have free and openly availability advantages, only a small proportion is related to situation awareness, and reliability or trustworthiness is a challenge. A credibility framework is proposed for Twitter data in the context of disaster situation awareness. The framework is derived from crowdsourcing, which states that errors propagated in volunteered information decrease as the number of contributors increases. In the proposed framework, credibility is hierarchically assessed on two tweet levels. The framework was tested using Hurricane Harvey Twitter data, in which situation awareness related tweets were extracted using a set of predefined keywords including power, shelter, damage, casualty, and flood. For each tweet, text messages and associated URLs were integrated to enhance the information completeness. Events were identified by aggregating tweets based on their topics and spatiotemporal characteristics. Credibility for events was calculated and analyzed against the spatial, temporal, and social impacting scales. This framework has the potential to calculate the evolving credibility in real time, providing users insight on the most important and trustworthy events.

scholarly journals Cognitive Scout Node for Communication in Disaster Scenarios

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Rajesh K. Sharma ◽  
Anastasia Lavrenko ◽  
Dirk Kolb ◽  
Reiner S. Thomä
Keyword(s):  
Situation Awareness ◽  
Access Point ◽  
Base Station ◽  
Surveillance Systems ◽  
Processing Unit ◽  
Leading Role ◽  
Primary Network ◽  
Disaster Situation ◽  
Disaster Scenario ◽  
New Applications

The cognitive radio (CR) concept has appeared as a promising technology to cope with the spectrum scarcity caused by increased spectrum demand due to the emergence of new applications. CR can be an appropriate mean to establish self-organization and situation awareness at the radio interface, which is highly desired to manage unexpected situations that may happen in a disaster scenario. The scout node proposed in this paper is an extended concept based on a powerful CR node in a heterogeneous nodes environment which takes a leading role for highly flexible, fast, and robust establishment of cooperative wireless links in a disaster situation. This node should have two components: one is a passive sensor unit that collects and stores the technical knowledge about the electromagnetic environment in a data processing unit so-called “radio environment map” in the form of a dynamically updated database, and other is an active transceiver unit which can automatically be configured either as a secondary node for opportunistic communication or as a cooperative base station or access point for primary network in emergency communications. Scout solution can be viable by taking advantage of the technologies used by existing radio surveillance systems in the context of CR.

Crowd-Sensing Meets Situation Awareness: A Research Roadmap for Crisis Management

2015 ◽  
Author(s):  
Andrea Salfinger ◽  
Sylva Girtelschmid ◽  
Birgit Proll ◽  
Werner Retschitzegger ◽  
Wieland Schwinger
Keyword(s):  
Crisis Management ◽  
Situation Awareness ◽  
Crowd Sensing
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