P+ Platform

The Challenge

Most disaster responses require manual processes to eliminate errors which currently are handled mainly by the government. This process though ensures the information quality, often results in time-delays.  There are three obvious drawbacks of reports from the public: error, duplication, and inconsistent format. The poor quality of disaster management directly reduces  the efficiency and quality of disaster responses.

The Outcome

We aimed to develop a crowd Intelligence platform to eliminate the low-level quality of the disaster report. We build the webpages and database to connect the typhoon disaster report by HTML, CSS, PHP, MySQL, and JavaScript in order to recruit volunteers to organize the raw report data. In the platform, we chose a response and asked the user to compare it to other responses from the same district. Through UX and UI design, we guide the volunteers to combine the disaster report correctly and motivate them to complete all of the combinations in the district they are familiar with during the typhoon in 2015 and 2016.


Jul 2015 – Oct 2016


UX Designer
Project Manager


Yu-Tzu Lin

What is P+ Platform ?

Gather everyone's power,
Turn impossible into possible

P+ project is supported by the Ministry of Science and Technology in Taiwan. The goal is to combine civilian human resources in and around the disaster area with mobile communications and network technology. From the perspective of social innovation, we will bring crowd-sourcing into the disaster prevention and relief workflow and establish a disaster prevention and relief collaboration platform and make it an indispensable part of the disaster prevention system.

Work Flow

01 | Collaborate with the Fire Agency to get disaster report

We worked with the National Fire Agency to obtain a large number of public notifications from multiple channels during the disaster, including those from the Internet.

02 | Computerized location of disaster report

We understand that the location of the disaster is very important to rescuers. Therefore, we have developed technology to use computer positioning to mark the collected reports on the map to make the location of the disaster report more obvious.

03 | Judge whether the notification is repeated or noise

The disaster notifications we collected earlier showed that when disasters occurred, people in almost every region repeatedly reported the same disaster event. In the past, several rescue workers judged which notifications were repeated. Now combining our strength and our calculation system, we will be able to obtain the results faster and more accurately.

Paper Prototype

We use the paper prototype to implement the work flow we had designed. We proposed several layout and display of information in every steps and invited users to test all of them in order to choose the most user-friendly interface and revise some details.

Final Design

Validation During Typhoons

We promoted our platform and recruited volunteers by Facebook. When the typhoon just landed, we kept sharing typhoon information and disaster news to increase the public's attention on the platform. When the report reached a certain amount, we published a crowdsourcing task and post again regularly (about every 8 hours) to recruit people to join the crowdsourcing task. We also worked with Youtubers to increase the number of fans.  

During five typhoons in 2015 and 2016,  a total of 520 people took part in the platform through Facebook, and 14,072 reports were integrated. The results of the project were published in the Journal of the Chinese Institute of Civil and Hydraulic Engineering.

User Log Analysis

We visualized the user log on the platform to analyze how much time users spend organizing the disaster report and the number of users in each hour during the typhoon to optimize the user interface design and promotion schedule.