Spatio-temporal Characterization of Urban On-street Illegal Parking and Modeling of Role Influencing Factors
To reveal the spatio-temporal patterns and influence mechanisms of on-street illegal parking in cities,a total of 10396 electronic police parking violation capture data for two months were combined,and 16 influencing factors were selected from the three dimensions of land use,parking supply and road design.Standard ellipse method,hierarchical clustering method and Pearson correlation test are used to analyze the spatial and temporal characteristics of on-street parking violations and screen the influencing factors,and a Bayesian quantile regression model is further constructed based on the characteristics of the dependent variable to analyze the relationship between the number of parking violations and the influencing factors in the morning and evening peaks.The results of the study show that:(1)From the perspective of the temporal characteristics of the number of parking violations,the number of parking violations on weekdays is significantly higher than that on weekends,and is mainly concentrated in the middle of the week.The results of the hourly clustering of the number of weekday parking violations show that the number of parking violations is divided into three time patterns,which are the morning and evening peak time periods(8:00-10:00 and 17:00-19:00),as well as morning and evening peak convergence time periods(10:00-11:00 and 15:00-17:00),and other time periods.(2)In terms of the spatial characteristics of the number of violations,the overall spatial distribution of the number of weekday violations is mainly concentrated in the middle of the week,and the number of weekend violations is mainly concentrated in the middle of the week.The overall spatial distribution of the number of parking violations on weekdays is mainly concentrated in areas with high commercial and residential densities.The spatial change trend of the number of parking violations in a day shows the trend of"expanding-stabilising-contracting".(3)The quantile regression results show that the three dimensions of land use,parking supply,and road design have a non-linear impact and a threshold effect on on-street parking violations.There is a difference in the mechanism between the morning and evening peak parking violation.The management of parking violation needs to take into account the spatial and temporal characteristics of the differentiated management.
urban trafficnon-linear relationshipBayesian quantile regressionillegal parkingspatial and temporal characteristics
NETL
NSTL
万方数据
维普
