Spatial heterogeneity analysis method for sensitivity of roadside parking demand to parking fee

Abstract

The invention discloses a spatial heterogeneity analysis method for the sensitivity of the roadside parking demand to the parking fee. The distribution rule of sensitivity of the roadside parking demand to the parking price in different spatial positions is analyzed based on a geographical weighted regression model and historical data, a spatial weight matrix is adopted to describe the spatial heterogeneity of the sensitivity of the parking demand to price, the factors affecting the spatial heterogeneity are analyzed based on a generalized linear regression model, and a roadside parking demand elasticity prediction model is built. The method makes up for the defect that the parameters are globally fixed and lacks the consideration on spatial heterogeneity in previous parking demand and parking fee relationship modeling, and a relationship model between road section and resident information and the demand elasticity is built, and the demand elasticity difference between different spatial positions can be analyzed in a differentiated manner. Instances show that the spatial heterogeneity analysis method for the sensitivity of the roadside parking demand to the parking fee put forward by the invention lays a good theoretical foundation for regional dynamic parking fee charging, and is better than previous models.

Description

technical field [0001] The invention relates to the field of urban road traffic parking management and control, in particular to a spatial heterogeneity analysis method for the sensitivity of roadside parking demand to charging price. Background technique [0002] In the parking system, the parking price is a key parameter affecting the driver's parking, so the dynamic adjustment of the parking rate becomes a powerful tool to increase the available parking space on the roadside in a big city. Existing research shows that the best parking occupancy level is about 85% or at least one or two public parking spaces are reserved in each block, so that drivers can find parking spaces faster. The ultimate goal of controlling parking supply and demand by adjusting parking fees is to make on-street parking spaces accurately reach the expected level of parking occupancy. Fully considering the impact of spatial heterogeneity on demand elasticity can effectively modify the relationship m...

AI Technical Summary

Problems solved by technology

[0003] The current dynamic parking charging method mainly considers the time attribute of demand elasticity. The parameters in the existing parking rate calculation model are globally fixed and not spatial. The impact of spatial factors on demand elasticity is insufficiently considered. Different spatial characteristics The impact on parking demand is quite different, and the demand elasticity is different in different regions. Therefore, the previous indiscriminate dynamic parking charging method may not be able to achieve the expected parking occupancy rate

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