The article has been referenced a few times since it was published, however the recent publication, lack of research being done on this topic, or the lack of definitive results from this paper have prevented it from being referenced extensively.
I looked into Underwriter Laboratories, as the work that they do is both interesting and important in mitigating future disasters.
The article did not give a definitive answer as to the decided cause of the towers collapse, so I researched the prominent theories. There still exists some controversy on the subject but it is largely believed that a combination of the direction the plane faced upon impact, which allowed the keel beam to destroy several support columns of the building, and the heat form the fire causing thermal expansion of the remaining steel reinforcements, overtaxed the supports which led to a systematic failure of supports on each lower floor.
Finally, I looked at the legal changes after 9/11 to see if there were any laws put into place defining the responsibility and authority of government agencies in the aftermath of a disaster. The laws passed directly in response to 9/11 however only seem to be relating to search, seizure, and detention of suspected terrorists.
Due to the mass destruction of the area, the first few days’ data were not able to collect (not only the destruction, but the rescue was the first priority). Therefore, the scientific committee used models to simulate and analyse the data (might not be accurate on the early stage). After the rescue, many countries have provided data to assist the works. For the long‐live radioactive substances, the data was able to collect with the ground soils. Furthermore, prediction can be made with the pass experiences and the basic models.
The system was built to serve organizations and individuals with humanitarian goals. The system gathers data from report, reviews, and users and compiles it into comprehensible information to help inform decision-making for humanitarian concerns. Portions of the app also focus on education and technical support for field researchers looking to collect large quantities of data.
The received data can be managed and visualised into charts or map tiles (e.g. open street maps or satellite maps). The data is visualized in the panel of “Visualize Your Story “with four modes of visual features.
The article uses historical statistics to support the claims of physical displacement and the psychological feelings of displacement, as well as accounts of the government programs that were put in place and the public’s lack of faith in the ability of these programs.
“… the murders occurred where it all began — in the remote forests of southeast Guinea, where superstition overwhelms education and whispers of Ebola stoke fear and sometimes violence.”
“The increase in violence marks a new dark chapter in the fight against Ebola…”
The main argument is supported through several methods, first the use of demographic statistics on the patients suffering from mental illness after several significant disasters. The experiences of patients with severe mental illness are also presented as supporting evidence of the complicated causes of disaster related mental illness. Finally the article includes data and theories presented in several other papers to provide a basis for the claims of the authors regarding the future studies of mental illness and the support systems that would be ideal in minimizing the trauma of a disaster.
Since the article reported that this is the fourth edition of the design, most of the problems are solved during the refurbishment of product. So there are not many problems with the design as they tested with the publics. But they plan to make the bridge “stronger, longer, lighter, more compact and quicker to set up”.