Difference between revisions of "IS428 AY2019-20T1 Assign Nurul Khairina Binte Abdul Kadir"
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== Problem and Motivation == | == Problem and Motivation == | ||
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| + | St. Himark has been hit by an earthquake, leaving officials scrambling to determine the extent of the damage and dispatch limited resources to the areas in most need. The city has released a new damage reporting mobile application before the earthquake which allows citizens to provide more timely information to the city to help them understand the damage and prioritize their response. The app responses and shake maps of the earthquake strength will be used to identify areas of concern and advise emergency planners. | ||
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| + | Emergency responders can benefit greatly from using crowdsourced data. However, the reliability and quality of the reports made by citizens are a key concern. It can be a challenge for emergency responders to use crowdsourced data for decision making since conflicting information or false reports could have been made. This can potentially affect their rescue efforts since resources could have been used in a neighborhood that needs more help. | ||
== Dataset Analysis & Transformation Process == | == Dataset Analysis & Transformation Process == | ||
Revision as of 15:34, 28 September 2019
Contents
Problem and Motivation
St. Himark has been hit by an earthquake, leaving officials scrambling to determine the extent of the damage and dispatch limited resources to the areas in most need. The city has released a new damage reporting mobile application before the earthquake which allows citizens to provide more timely information to the city to help them understand the damage and prioritize their response. The app responses and shake maps of the earthquake strength will be used to identify areas of concern and advise emergency planners.
Emergency responders can benefit greatly from using crowdsourced data. However, the reliability and quality of the reports made by citizens are a key concern. It can be a challenge for emergency responders to use crowdsourced data for decision making since conflicting information or false reports could have been made. This can potentially affect their rescue efforts since resources could have been used in a neighborhood that needs more help.
