A Study on Planning of Regional Network System of Day Facilities for the Elderly

在日本老龄化社会，以足够密集、高效和系统的方式为老年人选址日间设施在社区规划中的重要性日益增加。考虑到这种情况，本研究旨在提出一种规划系统的区域日间设施网络的建议。为此，进行了以下四个研究课题：1.考虑剩余教室可转换容量的日间设施选址规划研究--在多摩的须和-长山区和东京都的Setagagaya市的Karasuyama区，这项研究估计了从2000年到2025年每五年的人口。在此基础上，计算了利用中小学剩余教室可转换容量的日间设施容量和服务面积的时间序列变化。老年人日间服务设施现状调查：札幌市西市丸山医院、滋贺县约果镇约戈-山上中心、滋贺县志贺镇日间服务中心、宫城县田集日镇日间服务中心。日间设施用户分布调查分析了东京都杉中市日间设施的用户分布情况。预测日间设施未来使用特征的模拟研究在上述研究结果的基础上，建立了用户对设施的偏好和设施对用户的接受的随机模型。基于该模型的模拟预测了未来日间设施的使用特征。

In Japanese aging society, locating day facilities for the elderly in a sufficiently dense, efficient and systematic way is increasing its importance in community planning. Considering this situation, the research aims at a proposal on planning a systematic regional network of day facilities. To this end, the following four study subjects were conducted:1. A study on location-allocation planning of day facilities considering convertible capacity of surplus classroomsIn Suwa-Nagayama District in Tama City and Karasuyama District in Setagaya City of Tokyo Metropolis, the study estimated their population at every five years from 2000 to 2025. Based on the estimation, the study calculated the time series change of the capacity and the serving areas of day facilities which utilizing convertible capacity of surplus classrooms of elementary and secondary schools.2. A survey of day facilities for the elderlyThe situation of the following four day facilities were surveyed: Nishi-Maruyama Hospital in Sapporo City; Yogo-Yamanami Center in Yogo Town of Shiga Prefecture: Day Service Center in Shiga Town of Shiga Prefecture; and SKIP Center in Tajiri Town of Miyagi Prefecture.3. A survey of user distribution of day facilitiesIn Suginami City of Tokyo Metropolis, the user distribution of day facilities was analyzed.4. A simulation study for forecasting future characteristics of use of day facilitiesBased on the results of the above-mentioned study, a stochastic model of users' preference for facilities and acceptance of users by facilities is developed. A simulation based on this model forecasted future characteristics of use of day facilities.