基于改进PSO的保障性社区公共服务设施配置空间优化研究

发布时间：2018-06-29 06:07

本文选题：保障性社区 + 公共服务设施　；参考：《系统工程理论与实践》2017年01期

【摘要】：近年来,房地产价格持续快速上涨,居民住房问题日益突出,为了缓解中低收入居民住房问题,政府兴建了大批保障性社区.而当前保障性社区公共服务设施普遍存在配置不完善,供给滞后,低效与供给过剩同时存在的问题,导致人口入住过程缓慢,入住率低.这不仅影响到居民的生活质量,同时也影响到保障效果的实现及和谐社会的构建.文章以上海市保障性社区为研究对象,在多目标约束条件下,构建了可以清晰表达保障性社区公共服务设施配置空间的多目标微粒群算法(particle swarm optimization,PSO)优化模型,并基于所构建模型,实证分析保障性社区公共服务设施配置优化模拟,在此基础上求出了公共服务设施最优配置方案,这对于提高保障性社区公共服务设施配置的科学性和合理性,完善社区公共服务设施的配置理论,具有较大的理论意义和实践意义.
[Abstract]:In recent years, real estate prices continue to rise rapidly, the housing problem of residents is increasingly prominent, in order to alleviate the housing problem of low- and middle-income residents, the government has built a large number of affordable communities. At present, there are some problems in the public service facilities of the indemnificatory community, such as imperfect configuration, lagged supply, low efficiency and excess supply, which lead to the slow process of population occupancy and low occupancy rate. This not only affects the quality of life of the residents, but also affects the realization of the security effect and the construction of a harmonious society. In this paper, a multi-objective particle swarm optimization algorithm (particle swarm optimization PSO) optimization model, which can clearly express the allocation space of public service facilities in affordable community, is constructed under the condition of multi-objective constraints, and based on the above model, a multi-objective particle swarm optimization algorithm (PSO) is proposed. On the basis of analyzing the optimization simulation of the public service facilities allocation in the indemnificatory community, the optimal allocation scheme of the public service facilities is obtained, which can improve the scientific and reasonable allocation of the public service facilities in the indemnificatory community. It is of great theoretical and practical significance to perfect the allocation theory of community public service facilities.
【作者单位】：上海应用技术大学城市建设与安全工程学院;
【基金】：国家自然科学基金(71403173) 教育部基金(13YJC630183)~~
【分类号】：TU984.12

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