Population employment distribution prediction method and device based on land and traffic multi-source data

Abstract

The invention discloses a population and employment distribution prediction method and device based on land and traffic multi-source data, and belongs to the technical field of traffic. The implementation method comprises the steps of calculating the per capita space occupation rate according to reference year population and employment data and reference year classification building area data; calculating accessibility data of a traffic cell according to the travel time and the driving cost; obtaining reference year classified building price data, planning year classified building area data and planning year population and employment data; establishing a population and employment distribution model; performing parameter calibration on the population and employment distribution model according to the per capita space occupation rate, the accessibility data, the classified building house price data, the population and employment data of a reference year and a planning year and the classified building area data; and predicting population and employment distribution in the future year according to the calibrated population and employment distribution model. According to the method, land utilization and traffic accessibility are systematically considered at a traffic zone level to accurately predict future population and employment change trends.

Description

technical field [0001] The invention belongs to the technical field of transportation, and more specifically relates to a population and employment distribution prediction method and device based on land and transportation multi-source data. Background technique [0002] With the rapid development of the economy and the continuous advancement of the urbanization process, the urban population and employment have increased rapidly. This has not only caused urban expansion and uneven land use, but also caused problems such as traffic congestion, traffic accidents and environmental pollution. However, grasping the trend of urban population and employment changes is the prerequisite for land use planning, traffic planning, and traffic management. If the distribution of population and employment in urban traffic areas in the next year cannot be accurately predicted, it will be impossible to curb land use problems and traffic problems from the root. congestion, traffic accidents a...

AI Technical Summary

Problems solved by technology

The above method only relies on real-time data collection for traffic population distribution calculation, and does not have the function of advance and accurate prediction; moreover, since users tend to take the non-traffic-jammed route recommended by the APP, it often causes crowds during peak traf

Images