Method for dynamically measuring distribution density of city population in real time

Abstract

The invention discloses a method for dynamically measuring distribution density of city population in real time.The method specifically comprises the steps that firstly, real-time data of signaling cell ranges of base stations in a city and the number of base station service mobile phone terminals is acquired through anonymous mobile phone signaling data provided by a mobile phone communication service provider; secondly, building area and land usage of all blocks of base station signaling cells are acquired through a city space database based on a geographical information system; thirdly, space population density in all buildings of all the blocks is obtained by converting the number of real-time service mobile phone terminals of the signaling cells and the building area of the blocks of the cells.The method solves the problem that in a traditional population density calculation method, interference is caused by a building scale factor; the precision of population density distribution calculation of a city, especially a center area and other public building agglomerations is increased, and the method can achieve early warning for traffic jams, crowd trampling, group confliction and other city disasters.

Description

technical field [0001] The invention belongs to the technical field of urban planning, in particular to a real-time dynamic measurement method for urban population distribution density based on mobile phone signaling data. Background technique [0002] The spatial distribution of the population refers to the distribution of the population at a certain time node, and it is the manifestation of the population in space. With the advancement of urbanization, the urban population density is increasing day by day, which brings urban problems such as crowd flow and traffic congestion, as well as various urban hidden dangers such as stampede incidents and group conflicts. At the same time, the city monitors the real-time population density distribution of cities. need. [0003] With the gradual popularization of the application of mobile phone data, people at home and abroad have gradually realized the possibility of using mobile phone data for dynamic records of population distrib...

AI Technical Summary

Problems solved by technology

This method has high operability on the macro-regional scale, but it implies a default premise that the signaling users are uniformly distributed within the plane range of the base station, which is not true on the meso-micro spatial scale , in the actual measurement, the same population density is obtained from the measurement of 1 hectare of green space and 1 hectare of floor area ratio commercial block, and it is difficult to reflect the difference in population density due to different floor area ratios

With the increase of building density in the monitoring area, due to the difference in block volume ratio, the measurement error of this method is greater in areas with higher building volume ratio, and it is often difficult to obtain specific population data in a spatial range on the meso-micro scale

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