bet365 Play online games The official website of Texas Agricultural University of China recently introduced the new achievements published by the school's researchers on the Journal of the British Royal Society。Analysis of Hurricane Harvey Harvey's Pharmacy in 2017、Access mode of grocery stores and other places，Researchers have developed a framework，Evaluate the recovery of the community after the natural disaster in a near -time manner。

Research Call，After the bet365 best casino games occurrence of natural disasters，Even the nearby community in the affected area，The impact of the affected may also be different。So，What areas need to be identified are even more affected，so as to allocate resources more reasonably。Traditionally，People use "elasticity" as an indicator of the recovery of the community from natural disasters，That is the ability of the community to return to the state before the disaster。To evaluate elasticity，Resource allocation、The connection between residents in the community and the preparation of unknown disasters in the community are all important，The standard method for obtaining the required data required Bet365 app download for elastic assessment is to implement surveys，The problems involved include the degree of affected by enterprises or families affected by natural disasters and recovery.。But，Researcher said，These survey -based methods are useful，But it takes a long time to implement，Because the results of the survey may not be obtained several months after the disaster。Government agencies need to be fast、Get information in time。For this，Researchers' solution is to find new data sources，Analysis of the community recovery from a new perspective。

Researchers start with community -level big data，Position data of the residents of Harris County, Harris County, Harchi, Harchi, Bet365 lotto review Harvis, Harvis, Harvis, in Harvey, in cooperation with communication companies。Researchers first determine the hospital、gas station、Stores, such as the changes in traffic changes caused by hurricanes as "interest points"，Then excavate big data to get the number of people who flow at each interest point before the hurricane and the hurricane period，After calculating the visits of each interest point, the time required to return to the pre -disaster level was calculated and the overall elasticity was obtained。results show，The level of affected may not be related to elasticity。For example，The recovery speed of the company that was affected before would be slower，Bet365 lotto review But it is not actually that。Significantly decreased visits in some places，But soon recover。

Although the research focuses on hurricanes，But its framework is also applicable to other natural disaster research。Researcher said，Next, I hope to create a smart instrument board，Being able to show the affected and recovery of different regions in time，and predict future disaster impact and recovery mode。

　　（Wang Xiaozhen/Compilation）