title: ÐÐµÑÐ¾Ð´ Ð¾ÑÐµÐ½ÐºÐ¸ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ ÑÐ°ÐºÑÐ¾ÑÐ¾Ð² ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð¾Ð¹ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÑ Ð½Ð° Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾-ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÐµ Ð¿ÑÐ¾Ð¸ÑÑÐµÑÑÐ²Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Method of assessing the impact of transport infrastructure factors on road accidents
Creators: name: ÐÑÑÐ°ÑÐ¾Ð²Ð°, ÐÐ°ÑÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð°Ñ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÐ°
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Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
Python
transport infrastructure
traffic accidents
big data analysis
regression modeling
programming

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ ÑÐ°ÑÐ¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐº-ÑÐ¾Ð² ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð¾Ð¹ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÑ Ð½Ð° Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾-ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÐµ Ð¿ÑÐ¾Ð¸ÑÑÐµÑÑÐ²Ð¸Ñ Ð½Ð° ÐºÐ¾Ð½ÐºÑÐµÑÐ½Ð¾Ð¼ Ð¿ÑÐ¸Ð¼ÐµÑÐµ Ð¸ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐ¼ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ð¸ ÑÐ½Ð¸Ð²ÐµÑÑÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð´Ð° Ð¾ÑÐµÐ½ÐºÐ¸ Ð´Ð»Ñ Ð´ÑÑÐ³Ð¸Ñ ÑÐ°Ð¹Ð¾Ð½Ð¾Ð². ÐÑÐ¾Ð±Ð»ÐµÐ¼Ð° Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾-ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÑ Ð¿ÑÐ¾Ð¸ÑÑÐµÑÑÐ²Ð¸Ð¹ Ð½Ðµ Ð½Ð¾Ð²Ð°, Ð½Ð¾ ÐµÐµ Ð°ÐºÑÑÐ°Ð»ÑÐ½Ð¾ÑÑÑ ÑÐ¾ Ð²ÑÐµÐ¼ÐµÐ½ÐµÐ¼ ÑÐ¾Ð»ÑÐºÐ¾ ÑÐ°ÑÑÐµÑ. Ð ÐµÑÐµÐ½Ð¸Ðµ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ñ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¾ Ð½Ð° Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¸ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐµ Ð¿ÑÐµÐ´Ð¾ÑÐ²ÑÐ°ÑÐµÐ½Ð¸Ðµ Ð°Ð²Ð°ÑÐ¸Ð¹ Ð² Ð³Ð¾ÑÐ¾Ð´Ð°Ñ Ð¿Ð¾ Ð²ÑÐµÐ¼Ñ Ð¼Ð¸ÑÑ. Ð ÑÐ°Ð±Ð¾ÑÐµ Ð±ÑÐ» Ð¿ÑÐ¸Ð²ÐµÐ´ÐµÐ½ Ð¿Ð¾ÑÐ°Ð³Ð¾Ð²ÑÐ¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐ¹ Ð¿Ð¾ Ð½ÐµÐ¼Ñ ÑÐ½Ð¸Ð²ÐµÑÑÐ°Ð»ÑÐ½ÑÐ¹ Ð¼ÐµÑÐ¾Ð´ Ð¾ÑÐµÐ½ÐºÐ¸ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ ÑÐ°ÑÐ¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð¾Ð¹ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÑ Ð½Ð° Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾-ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÐµ Ð¿ÑÐ¾Ð¸ÑÑÐµÑÑÐ²Ð¸Ñ. ÐÐµÑÐ¾Ð´ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÑÐµÑ ÑÐ¾-Ð±Ð¾Ð¹ Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ð¾Ðµ Ð¾Ð¿Ð¸ÑÐ°Ð½Ð¸Ðµ Ð´ÐµÐ¹ÑÑÐ²Ð¸Ð¹, ÐºÐ¾ÑÐ¾ÑÑÐµ Ð²ÑÐ¿Ð¾Ð»Ð½ÑÑÑÑÑ Ð¿Ð¾ ÑÑÐµÐ´ÑÑÐ²Ð°Ð¼ Ð¿ÑÐ¾-Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ ÐºÐ¾Ð´Ð° Ð½Ð° ÑÐ·ÑÐºÐµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python. Ð¢Ð°ÐºÐ¶Ðµ Ð±ÑÐ»Ð° Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð° ÑÐ°Ð±Ð¾ÑÐ° Ð¼ÐµÑÐ¾Ð´Ð° Ð½Ð° ÐºÐ¾Ð½ÐºÑÐµÑÐ½Ð¾Ð¼ Ð¿ÑÐ¸Ð¼ÐµÑÐµ: ÐÐ°ÑÐ¸Ð»ÐµÐ¾ÑÑÑÐ¾Ð²ÑÐºÐ¾Ð¼ ÑÐ°Ð¹Ð¾Ð½Ðµ Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³Ð°. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð±ÑÐ»Ð¸ Ð¿Ð¾Ð»ÑÑÐµÐ½Ñ Ð²ÐµÑÐ¾ÑÑÐ½Ð¾ÑÑÐ¸ Ð²Ð¾Ð·Ð½Ð¸ÐºÐ½Ð¾Ð²ÐµÐ½Ð¸Ñ Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾-ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÑ Ð¿ÑÐ¾Ð¸ÑÑÐµÑÑÐ²Ð¸Ð¹, ÐºÐ°ÑÑÐ° Ñ Ð¼ÐµÑÐºÐ°Ð¼Ð¸ Ð²ÑÐµÑ Ð°Ð²Ð°ÑÐ¸Ð¹ Ð·Ð° Ð¸ÑÑÐ»ÐµÐ´ÑÐµÐ¼ÑÐ¹ Ð¿ÐµÑÐ¸Ð¾Ð´, ÐºÐ°ÑÑÐ° Ñ Ð¼ÐµÑÐºÐ°Ð¼Ð¸ ÑÐµÐ½ÑÑÐ¾Ð² ÐºÐ»Ð°ÑÑÐµÑÐ¾Ð² Ñ Ð½Ð°Ð¸Ð±Ð¾Ð»ÑÑÐ¸Ð¼ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð¾Ð¼ ÐÐ¢Ð, ÐºÐ°ÑÑÐ° Ñ Ð¼ÐµÑÐºÐ°Ð¼Ð¸ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ ÑÐ°ÑÐ¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð½ÑÑ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð¾Ð¹ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÑ Ð½Ð° Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾-ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÐµ Ð¿ÑÐ¾Ð¸ÑÑÐµÑÑÐ²Ð¸Ñ Ð¸ Ð³Ð¸ÑÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð° Ð´Ð»Ñ Ð¾Ð±ÑÐµÐ¹ Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð², ÑÐ¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð° ÑÐ°Ð±Ð»Ð¸ÑÐ° Ñ Ð¿Ð»Ð¾ÑÐ½Ð¾ÑÑÑÑ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ Ð½Ð° ÐºÐ°Ð¶Ð´Ð¾Ð¹ ÑÐ»Ð¸ÑÐµ ÑÐ°Ð¹Ð¾Ð½Ð° Ð´Ð»Ñ Ð´Ð¾Ð¿Ð¾Ð»Ð½Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ Ð¾ÑÐµÐ½ÐºÐ¸ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð¾Ð¹ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÑ Ð½Ð° Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾-ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÐµ Ð¿ÑÐ¾Ð¸ÑÑÐµÑÑÐ²Ð¸Ñ Ð¿ÑÐ¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð½ÑÑ Ð¿Ð»Ð¾ÑÐ½Ð¾ÑÑÑÑ.
description: This work is devoted to the study of the influence of the location of transport infrastructure facilities on traffic accidents on a specific example and the further creation of a universal assessment method for other areas. The problem of road traf-fic accidents is not new, but its relevance is only growing with time. The solution to the problem is aimed at predicting and further preventing accidents in cities around the world. The paper presented a step-by-step algorithm and developed a universal method for assessing the impact of the location of the transport infrastructure on traffic accidents. The method is a detailed description of the actions that are per-formed by means of the program code in the Python programming language. The work of the method was also presented on a specific example: the Vasileostrovsky district of St. Petersburg. As a result, the probabilities of occurrence of road traffic accidents, a map with labels of all accidents for the study period, a map with labels of cluster centers with the largest number of accidents, a map with labels of the in-fluence of the location of certain transport infrastructure facilities on road traffic ac-cidents, and a histogram for the overall visualization of the obtained results, a table was compiled with the traffic density on each street of the district for additional as-sessment of the impact of transport infrastructure facilities on traffic accidents at certain densities.