Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues
Abstract
:1. Introduction
2. Background
Publication | Year | Crowdsensing with Smartphone Sensors | Disaster Management Cycle | Disaster Management Categories | Review of Social Media Aid | Review of Decision Support Systems |
---|---|---|---|---|---|---|
Kamel Boulos et al. [22] | 2011 | X | X | X | √ | X |
Chatzimilioudis et al. [24] | 2012 | X | X | X | X | X |
Poblet et al. [21] | 2014 | X | √ | X | √ | X |
Albuquerque et al. [20] | 2016 | Geo-sensors only | X | X | √ | X |
Kankanamge et al. [9] | 2019 | Geo-sensors only | √ | X | √ | X |
This Article | 2022 | √ | √ | √ | √ | √ |
3. Review Methodology
3.1. Research Questions
- How does mobile crowdsensing support disaster management through smartphone sensors?
- (a)
- Which smartphone sensors are used to address what types of disaster management problems?
- (b)
- Where do mobile crowdsensing efforts concentrate on the disaster management cycle (mitigation, preparedness, response, and recovery)?
- What kind of guidance is proposed to the disaster management authorities by the mobile crowdsensing-aided disaster management solutions to use crowdsensed data in their decision-support systems?
3.2. Search Strategy
3.3. Inclusion/Exclusion Criteria
- Recruitment of agents/incentives only;
- Non-mobile crowdsensing tools;
- Traffic accidents only;
- Trustworthiness only;
- Cloud/edge/fog-focused works only;
- Sensing network infrastructure only;
- Social media crowdsourcing only;
- No or limited mention of sensors.
3.4. Quality Assessment
- Is the research question or objective clearly stated?
- Is there a documented research methodology?
- Are the research findings supported?
- Is the contribution of the work clearly explained?
3.5. Composition of Studies
4. Results
- 4.1 Use of smartphone sensors in addressing disaster management categories—RQ1.a;
- 4.2 Disaster management cycle phases targeted—RQ1.b;
- 4.3 Guidance for disaster management authorities—RQ2.
4.1. Use of Smartphone Sensors in Addressing Disaster Management Categories
4.2. Disaster Management Phases Targeted
4.3. Guidance for Disaster Management Authorities
- Existence of a data flow process: Are the data generation, data collection, data processing, or data storage processes explained? Are there references on the server technology, communication infrastructure, data collection or generation platform, bandwidth requirements or data quality measures to let the authorities make realistic choices?
- Definition of an information exchange mechanism: How does the information dissemination take place? Is there a two-way communication mechanism built in the solution between volunteers and disaster authorities or are there subordinate units?
- Incorporation of human factors: Is human behaviour modelling or user feedback taken into consideration in the design or improvement of the solution?
- Evaluation of the proposed solution: Is there any type of evaluation performed for the solution such as prototyping, simulation, or field testing?
5. Open Issues and Challenges
5.1. Application
5.2. Architecture
5.3. Sensors
6. Limitations and Threats
7. Summary and Lessons Learned
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Phases in Disaster Management Cycle | |||||||
---|---|---|---|---|---|---|---|
Publication | Proposed Solution | Disaster Management Categories Addressed | Sensors Used | Mitigation | Preparedness | Response | Recovery |
Bhattacharjee et al. [32] | System architecture | Evacuation/Mapping | GPS | X | |||
Asiminidis et al. [33] | Bluetooth | X | |||||
Sarbajna et al. [36] | GPS | X | X | ||||
Frommberger and Schmid [29] | Information exchange | GPS, camera, crowd as reporters | X | X | X | ||
Vahdat-Nejad et al. [37] | GPS, camera, crowd as reporters | X | |||||
Villela et al. [13] | GPS, camera, crowd as reporters | X | X | ||||
Piscitello et al. [34] | Situational awareness | Microphone, pedometer | X | X | X | ||
Sadhu et al. [35] | Camera, microphone, gyroscope accelerometer, GPS | X | |||||
Salfinger et al. [38] | Crowd as reporters | X | X | ||||
Anagnostopoulos et al. [31] | Resource sharing/allocation | Crowd as reporters | X | X | |||
Visuri et al. [30] | Hazard/Risk detection | Accelerometer | X | ||||
Gao et al. [26] | Organization of rescue teams | Crowd as reporters | X | ||||
Ae Chun et al. [43] | Framework | Resource sharing/allocation | GPS, camera, crowd as reporters | X | |||
Fahim et al. [44] | Efficient data transfer | Crowd as reporters | X | ||||
Kielienyu et al. [45] | Hazard/Risk detection | GPS | X | ||||
Kitazato et al. [39] | Method | Evacuation/Mapping | Bluetooth | X | |||
Zabota and Kobal [41] | Hazard/Risk Detection | GPS, camera, crowd as reporters | X | ||||
Li et al. [40] | Hazard/Risk Detection | Accelerometer, camera | X | X | |||
Burkard et al. [42] | Hazard/Risk Detection | Accelerometer, gyroscope, camera | X | ||||
Nguyen et al. [27] | Mobile application | Data Fusion | Crowd as reporters | X | X | X | |
Fajardo and Oppus [14] | Evacuation/Mapping | GPS, crowd as reporters | X | ||||
Di Felice and Iessi [46] | Software service | Efficient data transfer | GPS, crowd as reporters | X | X | ||
Ludwig et al. [23] | Web application | Organization of rescue teams | Crowd as reporters | X | |||
Choi et al. [47] | Process | Hazard/Risk detection | Camera, GPS | X | X | ||
Tripathi and Singh [48] | Model | Data Fusion | Crowd as reporters | X | |||
Total | 2 | 6 | 21 | 8 |
Data Fusion | Efficient Data Transfer | Evacuation/Mapping | Hazard/Risk Detection | Information Exchange | Organization of Rescue Teams | Resource Sharing/ Allocation | Situational Awareness | |
---|---|---|---|---|---|---|---|---|
GPS | X | [46] | [14,32,36] | [41,45,47] | [13,29,37] | X | [43] | [35] |
Camera | X | X | X | [40,41,42,47] | [13,29,37] | X | [43] | [35] |
Crowd as reporter | [27,48] | [44,46] | [14] | [41] | [13,29,37] | [23,26] | [31,43] | [38] |
Accelerometer | X | X | X | [30,40,42] | X | X | X | [35] |
Microphone | X | X | X | X | X | X | X | [34,35] |
Bluetooth | X | X | [33,39] | X | X | X | X | X |
Gyroscope | X | X | X | [42] | X | X | X | [35] |
Pedometer | X | X | X | X | X | X | X | [34] |
Reference | Contribution of the Paper | Data Flow Process | Information Exchange | Human Factors Integration | Evaluation |
---|---|---|---|---|---|
Frommberger and Schmid [29] | System Architecture: Mobile4D Crowdsourced Disaster System | Yes | Yes | Yes | Yes |
Ae Chun et al. [43] | Framework: PEER Citizen-to-Citizen Resource Sharing in Emergency | Yes | Yes | Yes | Yes |
Bhattacharjee et al. [32] | System Architecture: Post-disaster digital pedestrian map builder | Yes | Yes | Yes | Yes |
Vahdat-Nejad et al. [37] | System Architecture: Information Gathering of Earthquake Disasters | Yes | Yes | Yes | Yes |
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Cicek, D.; Kantarci, B. Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues. Sensors 2023, 23, 1699. https://doi.org/10.3390/s23031699
Cicek D, Kantarci B. Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues. Sensors. 2023; 23(3):1699. https://doi.org/10.3390/s23031699
Chicago/Turabian StyleCicek, Didem, and Burak Kantarci. 2023. "Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues" Sensors 23, no. 3: 1699. https://doi.org/10.3390/s23031699
APA StyleCicek, D., & Kantarci, B. (2023). Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues. Sensors, 23(3), 1699. https://doi.org/10.3390/s23031699