Social Media Data Mining of Human Behaviour during Bushfire Evacuation
Junfeng Wu, Xiangmin Zhou, Erica Kuligowski, Dhirendra Singh, Enrico Ronchi, Max Kinateder

TL;DR
This paper reviews how social media data mining can enhance understanding of human behaviour during bushfire evacuations, addressing current limitations and proposing future research directions.
Contribution
It provides a comprehensive overview of recent data mining techniques for social media data in bushfire evacuation contexts and discusses open challenges and future applications.
Findings
Social media data offers rich, low-cost insights into evacuation behaviour.
Current limitations include data quality, bias, and geolocation accuracy.
Future applications include evacuation modeling and emergency communication.
Abstract
Traditional data sources on bushfire evacuation behaviour, such as quantitative surveys and manual observations have severe limitations. Mining social media data related to bushfire evacuations promises to close this gap by allowing the collection and processing of a large amount of behavioural data, which are low-cost, accurate, possibly including location information and rich contextual information. However, social media data have many limitations, such as being scattered, incomplete, informal, etc. Together, these limitations represent several challenges to their usefulness to better understand bushfire evacuation. To overcome these challenges and provide guidance on which and how social media data can be used, this scoping review of the literature reports on recent advances in relevant data mining techniques. In addition, future applications and open problems are discussed. We…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPublic Relations and Crisis Communication · Evacuation and Crowd Dynamics · Disaster Management and Resilience
