National Institute of Informatics, Chiyoda-ku, Tokyo, Japan.
JST, ERATO, Kawarabayashi Large Graph Project, c/o Global Research Center for Big Data Mathematics, NII, Chiyoda-ku, Tokyo, Japan.
PLoS One. 2018 May 9;13(5):e0197144. doi: 10.1371/journal.pone.0197144. eCollection 2018.
Population dynamics in urban and rural areas are different. Understanding factors that contribute to local population changes has various socioeconomic and political implications. In the present study, we use population census data in Japan to examine contributors to the population growth of residential clusters between years 2005 and 2010. The data set covers the entirety of Japan and has a high spatial resolution of 500 × 500 m2, enabling us to examine population dynamics in various parts of the country (urban and rural) using statistical analysis. We found that, in addition to the area, population density, and age, the shape of the cluster and the spatial distribution of inhabitants within the cluster are significantly related to the population growth rate of a residential cluster. Specifically, the population tends to grow if the cluster is "round" shaped (given the area) and the population is concentrated near the center rather than periphery of the cluster. Combination of the present results and analysis framework with other factors that have been omitted in the present study, such as migration, terrain, and transportation infrastructure, will be fruitful.
城乡人口动态存在差异。了解导致当地人口变化的因素具有各种社会经济和政治意义。在本研究中,我们使用日本的人口普查数据,研究了 2005 年至 2010 年期间居住小区人口增长的促成因素。该数据集涵盖了日本全境,具有 500×500m²的高空间分辨率,使我们能够使用统计分析方法研究全国各地(城乡)的人口动态。我们发现,除了面积、人口密度和年龄外,小区的形状和小区内居民的空间分布与居住小区的人口增长率显著相关。具体而言,如果小区是“圆形”(给定面积)且人口集中在小区中心附近而不是周边,那么人口就会增长。将本研究中忽略的其他因素(如迁移、地形和交通基础设施)与本研究的结果和分析框架相结合,将会产生丰硕的成果。