基于自编码器的PCA-SOM公共服务资源配置评价与选址优化决策方法

doi:10.11959/j.issn.1000-0801.2024034

摘要/Abstract

摘要：

当前城市规划和公共服务资源配置存在分配不均和选址效率低下的问题。将公共服务资源的电力消耗数据与其资源数量、区域人口数量相结合，基于主成分分析（principal component analysis，PCA）评估各区域公共服务资源的配置状况，并以兰州市为案例，运用自组织映射（self-organizing mapping，SOM）算法进行教育资源的优化选址。研究发现，电力数据能有效指示资源配置的不足，并为优化分配提供精确的指导。尤其在兰州市，SOM算法的应用不仅提高了教育资源选址的效率，还促进了资源的公平分配。不仅为甘肃省提供了公共服务资源配置的科学决策依据，也为其他地区在相似领域的研究提供了参考。

关键词: 公共服务资源配置, 电力数据, 主成分分析, 自组织映射, 选址优化

Abstract:

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.

Key words: allocation of public service resource, power data, principal component analysis, self-organizing mapping, site selection optimization

中图分类号:

TP29
V241

魏军, 王华, 郭芳琳, 张文波, 杨蓉. 基于自编码器的PCA-SOM公共服务资源配置评价与选址优化决策方法[J]. 电信科学, 2024, 40(2): 158-168.

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[J]. Telecommunications Science, 2024, 40(2): 158-168.

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指标	权重系数
大学教师数	0.022 533 281
大学生数	0.022 477 434
2022年人均道路长度	0.021 844 54
人均文体月用电量	0.021 598 028
人均大学数	0.021 495 013
人均紧急避难所数	0.021 326 954
人均服务区数	0.021 283 944
2022年人均公共照明灯数	0.021 244 765
人均教育月用电量	0.021 214 884
人均运动场馆数	0.020 887 709
人均加气站数	0.020 529 923
人均博物馆数	0.020 527 99
2022年人均绿化面积	0.020 458 732
人均加油站数	0.020 328 201
人均医疗月用电量	0.020 266 524
人均图书馆数	0.020 241 783
人均疾病预防机构数	0.020 104 298
2022年人均道路面积	0.019 996 246
人均科研机构数	0.019 917 651
人均纪念馆数	0.019 860 909
人均公园数	0.019 846 462
人均文化宫数	0.019 698 677
人均公交车站数	0.019 639 895

地市	综合得分	教育得分
兰州市	100	48
酒泉市	85	19
嘉峪关市	85	14
金昌市	74	19
张掖市	74	19
庆阳市	68	33
白银市	67	31
平凉市	67	30