D-record: Disaster Response and Relief Coordination Pipeline

TitleD-record: Disaster Response and Relief Coordination Pipeline
Publication TypeConference Paper
Year of Publication2018
AuthorsShruti Kar, Hussein S. Al-Olmat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, Srinivasan Parthasarathy
Conference NameProceedings of the ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018)
Date Published11/2018
PublisherACM
Conference LocationSeattle, Washington
Keywordsdisaster relief, flood mapping, location-centric processing, need matching
Abstract

We employ multi-modal data (i.e., unstructured text, gazetteers, and imagery) for location-centric demand/request matching in the context of disaster relief. After classifying the Need expressed in a tweet (the WHAT), we leverage OpenStreetMap to geolocate that Need on a computationally accessible map of the local terrain (the WHERE) populated with location features such as hospitals and housing. Further, our novel use of flood mapping based on satellite images of the affected area supports the elimination of candidate resources that are not accessible by road transportation. The resulting map-based visualization combines disaster-related tweets, imagery and pre-existing knowledge-base resources (gazetteers) to reduce decision-making latency and enhance resiliency by assisting individual decision-makers and first responders for relief effort coordination.

Full Text

Kar, S., Al-Olimat, HS . Thirunarayan, K., Shalin, V., Sheth, A., and Parthasarathy, S. "D-record: Disaster Response and Relief Coordination Pipeline". In Proceedings of the ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018). ACM, 2018

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