title: ÐÐµÑÐ¾Ð´Ð¸ÐºÐ° Ð¾Ð±Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð¸Ñ Ñ Ð°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸Ðº Ð·Ð°Ð²Ð¸ÑÐ¸Ð¼Ð¾ÑÑÐµÐ¹ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸ Ð¾Ñ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÑ Ð³Ð¾ÑÐ¾Ð´ÑÐºÐ¾Ð¹ ÑÑÐµÐ´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: Methodology for substantiating the characteristics of the dependences of safety indicators on the parameters of the urban environment infrastructure
Creators: name: ÐÐ¾ÑÐ¾Ð·Ð¾Ð²Ð°, ÐÐ²Ð°Ð½Ð³ÐµÐ»Ð¸Ð½Ð°
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: 2024
Subjects: ÐÑÐ°Ð´Ð¾ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÑÑÐ²Ð¾
ÐÐ²ÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½ÑÐ¹ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑ
Ð³Ð¾ÑÐ¾Ð´ÑÐºÐ°Ñ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÐ°
Ð½ÐµÐ»Ð¸Ð½ÐµÐ¹Ð½Ð°Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ
Ð³Ð¾ÑÐ¾Ð´ÑÐºÐ°Ñ ÑÑÐµÐ´Ð°
urban infrastructure
nonlinear optimization
urban environment

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description: The work is devoted to the development and description of a methodology for identifying the impact of the location of the urban environment infrastructure on traffic safety. Tasks that were solved during the research: 1. Analysis of the state of the problem under study and application of spatial modeling; 2. Identification and consideration of data used in modeling; 3. Development of a methodology for substantiating the characteristics of the dependences of safety indicators on the parameters of the urban environment infrastructure; 4. Application of the developed methodology on the example of St. Petersburg. Approbation of the developed methodology for substantiating the characteristics of the dependences of safety indicators on the parameters of the urban environment infrastructure on the example of St. Petersburg. Metro stations have been selected as target points, as centers of attraction for the flow of people. Based on the approximation of data by type of dependence of the specific indicator of the probability of occurrence of road accidents on the distance from the designated target points, clusters are identified and the causes of road accidents in different considered zones are analyzed. The interrelation of infrastructure features and the probability of an accident has been identified and substantiated. The developed methodology can be used in the activities of specialized government agencies to address issues of improving road safety.