Simulation of spatialization of population in urban living areas

Abstract

Population distribution is an important aspect of analyzing urban spatial structure. Nowadays, spatialization simulation of urban living area population is on the rise, this paper focuses on the delineation of living area and simulation of heterogeneous population characteristics, taking Lanzhou main city as an example, using multi-source data and function fitting to analyze the state of population distribution in the urban living area. The study shows that: (1) within the 5-min, 10-min, and 15-min living area, the total population and the population with different characteristics have a roughly equal relationship between the population mean and the population standard deviation of 1:4:10 and 1:3.5:8, and that the male population has the same relationship between the population mean and the population standard deviation of the male population as that of the female population, while the proportion of the population mean for the child population is slightly lower than that of the elderly population, and the proportion of the population standard deviation is slightly higher than that of the elderly population. is slightly higher than that of the elderly population. (2) With the expansion of 5-min, 10-min and 15-min living circles, the ratio of the elderly to the young and the sex ratio has evolved from a fragmented feature to a concentrated and piecemeal spatial pattern. The core area of urban development has a high level of age-age ratio, and the peripheral area of the city has a low level of age-age ratio, presenting a “higher-medium-lower” intertwined circle structure; the value of the sex ratio of the population in the three-level living circle of the peripheral area of the city is high, and the value of the sex ratio of the population in the inner core area is low, and the high value area is nested in the higher value area. High-value areas are nested in higher-value areas and low-value areas are nested in lower-value areas, and in some areas there is a phenomenon of high-value and low-value “poles next to each other”. (3) The ratio of the total population in the central, marginal and peripheral zones is 1:0.74:0.24, and the ratio of the number of living circles is 1:0.72:0.32. The peaks and valleys of the total population in the sample zone and the number of population with different characteristics occur alternately, and the spatial distribution of the sample zone is characterized by the sparseness of the north-western part of the country and the density of the southeastern part of the country.