A TWITTER-INTEGRATED WEB SYSTEM TO AGGREGATE AND PROCESS EMERGENCY-RELATED DATA
A major challenge when encountering time-sensitive, information critical emergencies is to source raw volunteered data from on-site public sources and extract information which can enhance awareness on the emergency itself from a geographical context. This research explores the use of Twitter in...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Year Project |
| Language: | English |
| Published: |
UNIVERSITI TEKNOLOGI PETRONAS
2012
|
| Online Access: | http://utpedia.utp.edu.my/6347/1/FYP2%20Dissertation%20Yong%20Chang%20Yi%2012906.pdf http://utpedia.utp.edu.my/6347/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | A major challenge when encountering time-sensitive, information critical
emergencies is to source raw volunteered data from on-site public sources and
extract information which can enhance awareness on the emergency itself from a
geographical context. This research explores the use of Twitter in the emergency
domain by developing a Twitter-integrated web system capable of aggregating and
processing emergency-related tweet data. The objectives of the project are to collect
volunteered tweet data on emergencies by public citizen sources via the Twitter API,
process the data based on geo-location information and syntax into organized
informational entities relevant to an emergency, and subsequently deliver the
information on a map-like interface. The web system framework is targeted for use
by organizations which seek to transform volunteered emergency-related data
available on the Twitter platform into timely, useful emergency alerts which can
enhance situational awareness, and is intended to be accessible to the public through
a user-friendly web interface. Rapid Application Development (RAD) is the
methodology of choice for project development. The developed system has a system
usability scale score of 84.25, after results were tabulated from a usability survey on
20 respondents. Said system is best for use in emergencies where the transmission
timely, quantitative data is of paramount importance, and is a useful framework on
extracting and displaying useful emergency alerts with a geographical perspective
based on volunteered citizen Tweets. It is hoped that the project can ultimately
contribute to the existing domain of knowledge on social media-assisted emergency
applications. |
|---|