Public service resource allocation evaluation and site selection optimization decision making method using PCA-SOM based on autoencoder
The distribution of urban planning and allocation of public service resources currently lacks consistency and suffers from inefficient siting.Electricity consumption data for public service resources was combined with resource quantity and regional population size to evaluate the allocation of publi...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2024-02-01
|
| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024034/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841533677577699328 |
|---|---|
| author | Jun WEI Hua WANG Fanglin GUO Wenbo ZHANG Rong YANG |
| author_facet | Jun WEI Hua WANG Fanglin GUO Wenbo ZHANG Rong YANG |
| author_sort | Jun WEI |
| collection | DOAJ |
| description | The distribution of urban planning and allocation of public service resources currently lacks consistency and suffers from inefficient siting.Electricity consumption data for public service resources was combined with resource quantity and regional population size to evaluate the allocation of public service resources in each region using principal component analysis (PCA).Additionally, the self-organizing mapping (SOM) algorithm was utilized to optimize the siting of educational resources in Lanzhou City as a case.The power data demonstrated the inadequacy of resource allocation and offered accurate guidance for optimal allocation, especially in Lanzhou City.By utilizing the SOM algorithm, the efficiency of educational resource siting was enhanced, and resource allocation was fairly promoted.This study offers a well-researched justification for public service resource allocation in Gansu Province, and serves as a significant reference point for similar research in other regions. |
| format | Article |
| id | doaj-art-e1a097617a5e4768876d6ff29a520c02 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2024-02-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-e1a097617a5e4768876d6ff29a520c022025-01-15T02:57:28ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-02-014015816859556180Public service resource allocation evaluation and site selection optimization decision making method using PCA-SOM based on autoencoderJun WEIHua WANGFanglin GUOWenbo ZHANGRong YANGThe distribution of urban planning and allocation of public service resources currently lacks consistency and suffers from inefficient siting.Electricity consumption data for public service resources was combined with resource quantity and regional population size to evaluate the allocation of public service resources in each region using principal component analysis (PCA).Additionally, the self-organizing mapping (SOM) algorithm was utilized to optimize the siting of educational resources in Lanzhou City as a case.The power data demonstrated the inadequacy of resource allocation and offered accurate guidance for optimal allocation, especially in Lanzhou City.By utilizing the SOM algorithm, the efficiency of educational resource siting was enhanced, and resource allocation was fairly promoted.This study offers a well-researched justification for public service resource allocation in Gansu Province, and serves as a significant reference point for similar research in other regions.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024034/allocation of public service resourcepower dataprincipal component analysisself-organizing mappingsite selection optimization |
| spellingShingle | Jun WEI Hua WANG Fanglin GUO Wenbo ZHANG Rong YANG Public service resource allocation evaluation and site selection optimization decision making method using PCA-SOM based on autoencoder Dianxin kexue allocation of public service resource power data principal component analysis self-organizing mapping site selection optimization |
| title | Public service resource allocation evaluation and site selection optimization decision making method using PCA-SOM based on autoencoder |
| title_full | Public service resource allocation evaluation and site selection optimization decision making method using PCA-SOM based on autoencoder |
| title_fullStr | Public service resource allocation evaluation and site selection optimization decision making method using PCA-SOM based on autoencoder |
| title_full_unstemmed | Public service resource allocation evaluation and site selection optimization decision making method using PCA-SOM based on autoencoder |
| title_short | Public service resource allocation evaluation and site selection optimization decision making method using PCA-SOM based on autoencoder |
| title_sort | public service resource allocation evaluation and site selection optimization decision making method using pca som based on autoencoder |
| topic | allocation of public service resource power data principal component analysis self-organizing mapping site selection optimization |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024034/ |
| work_keys_str_mv | AT junwei publicserviceresourceallocationevaluationandsiteselectionoptimizationdecisionmakingmethodusingpcasombasedonautoencoder AT huawang publicserviceresourceallocationevaluationandsiteselectionoptimizationdecisionmakingmethodusingpcasombasedonautoencoder AT fanglinguo publicserviceresourceallocationevaluationandsiteselectionoptimizationdecisionmakingmethodusingpcasombasedonautoencoder AT wenbozhang publicserviceresourceallocationevaluationandsiteselectionoptimizationdecisionmakingmethodusingpcasombasedonautoencoder AT rongyang publicserviceresourceallocationevaluationandsiteselectionoptimizationdecisionmakingmethodusingpcasombasedonautoencoder |