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Method for quantifying spatial and temporal distribution of traffic accidents based on built environment and micro-blog data

A technology of traffic accidents and time-space distribution, applied in traffic flow detection, data processing applications, instruments, etc., can solve problems such as lack of discussion on impact, insufficient comprehensiveness of research, and failure to explore the mechanism of traffic accidents

Inactive Publication Date: 2018-01-23
DALIAN UNIV OF TECH
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Problems solved by technology

There are two problems in the current research methods. One is that this kind of research focuses on the independent effect of accident factors, and there is a lack of discussion on the influence of various factors, resulting in insufficient comprehensiveness of the research. The other is that traffic accidents are often not explored. understanding of the main factors affecting the spatio-temporal distribution of traffic accidents

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  • Method for quantifying spatial and temporal distribution of traffic accidents based on built environment and micro-blog data
  • Method for quantifying spatial and temporal distribution of traffic accidents based on built environment and micro-blog data
  • Method for quantifying spatial and temporal distribution of traffic accidents based on built environment and micro-blog data

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Embodiment Construction

[0038] The specific implementation manners of the present invention will be further described below in conjunction with the technical solutions and accompanying drawings.

[0039] 1. Research object

[0040]Select 97 townships within the fifth ring road in the center of Beijing as the research area, including some township-level administrative units included in the "eight urban districts" such as Dongcheng District, Xicheng District, and Chaoyang District, covering a total area of ​​668.814 square kilometers and a population of 8.75 million people. The research directly adopts the result of township division in this area as the traffic analysis area TAZ, that is, 97 traffic districts. Basic data include Weibo data, land use data and road network data. Weibo data includes traffic accident data from 2014 to 2016, including 1217 traffic accident data in 2014, 773 traffic accident data in 2015, and 705 traffic accident data in 2016, totaling 2695 accident data, including their l...

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Abstract

The invention provides a method for quantifying the spatial and temporal distribution of traffic accidents based on a built environment and micro-blog data, which belongs to the technical field of urban traffic planning and traffic safety system. A built environment is added as an explanatory variable of the spatial and temporal distribution of traffic accidents, and the interpretability of the built environment to the temporal and spatial distribution of traffic accidents is proved by examples. The method considers the built environment variable as the explanatory variable of the spatial andtemporal distribution of traffic accidents, and proves the interpretability of the built environment variable to the temporal and spatial distribution of traffic accidents. Communities from differentgeographical locations show spatial heterogeneity under the influence of different built urban environments. The invention further presents a method for quantifying the spatial and temporal distribution of traffic accidents.

Description

technical field [0001] The invention belongs to the technical field of urban traffic planning and traffic safety systems, and relates to the analysis of traffic accident rules, in particular to the interpretation and quantification method of the temporal and spatial distribution of traffic accidents in the built environment. Background technique [0002] In "Negative Binomial Analysis of Intersection-Accident Frequencies", Poch M and Mannering F conducted a negative binomial regression analysis of the accident frequency on the seven-year historical data of 63 intersections in Bellevue, revealing traffic influence elements such as road geometry characteristics The important impact on accident frequency; Zhang Liyan and Chen Wenjie explored the impact of traffic flow characteristics and environmental factors on traffic accidents by establishing classification regression tree models and negative binomial regression in "Data mining of tree-based models to analyze freeway accident...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G08G1/01
Inventor 钟绍鹏王仲邹延权王亚澜程荣李旭丰
Owner DALIAN UNIV OF TECH
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