On China's emergency resources storage region division based on the spatial clustering
Bibliographic record
Abstract
The present paper takes it as its research goal to make an ideal regional division for the emergency resource storage and management in our country.As is known,in recent years,it has become one of the key influential factors to store and manage emergency resources properly and effectively to meet the demands for storage and delivery of emergency goods and resources,which may influence and decide the success of the disaster relief and the rational distribution and delivery of emergency goods.Analyzing the emergency resources management and delivering experience from abroad let us know that the regional management of emergency goods has become one of the chief management patterns in the USA,Britain,Canada and other developed countries.Meanwhile the emergency resources reservation system should be taken in the regional mode so as to improve the efficient utilization of such resources and reduce the cost for their storage and distribution.At the same time,it should be more convenient and appropriate for each region to make the regional emergency response plan and designate its emergency resources storage location and allocation according to its own regional disaster-incidence characteristic features,which may become the primary and key problem for the urgent issue or issues for the place in a critical moment.In this paper,we have first of all analysed the feasibility of the spatial clustering method to solve the division problem.Then,we have set up an emergecy resources region division model by using the spatial clustering method to confirm the new clustering objective function to keep the balance the respective regions from the point of view of such resources storing and transportation cost and the scope of the different regions(including the rescuing missions).And,next,we have put forward an improved dynamic clustering algorithm based on the k-means clustering algorithm to solve the emergency resources division problem in the best way in terms of data extraction,the region division of natural disasters in our country in accordance with the proper regional division strategies.The rationality of the given region division results and the optimum region-division number has been analyzed so as to promote the solution of the problem in an ideal manner in accordance with the actual situation of China today.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".