机动化对城市人口影响的特点

Y. Fornalchyk, V. Hilevych
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引用次数: 0

摘要

众所周知,维护公民健康最重要的是使他们的生命免受可能发生的致命道路事故的伤害,确保空气空间的清洁,隔离过度的噪声污染和电磁场。上述负面影响会产生密集的交通流,而交通流是交通系统的主要组成部分。确定过去五年机动化的变化模式已成为一项重要任务。以前认为,机动化是人口福祉的特征之一。在大城市中,机动车的增长已经伴随着一些负面现象,例如:造成生命损失的交通事故;空气质量恶化;交通噪音过大;电磁场过大导致交通流量过大。机动化水平提高的所有这些负面特征构成了本研究的主题。首先,在统计数据的基础上,发现了机动化指标逐年增长的时序模式(通过显示丝状方程和直线方程来描述):从 2017 年到 2022 年期间,机动化指标持续增长。此外,还发现了机动化水平对每种危害的影响的函数依赖关系:机动化对致命道路交通事故和空气污染的影响用指数方程描述,而噪声和电磁的影响用直线非递减方程描述。根据所获得的结果,得出了用包含人工智能元素的智能交通系统取代传统交通系统以减少其影响的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics of motorization's impact on the urban population
It is known that the most important thing in maintaining the good health of citizens is to save their lives from possible fatal road accidents, ensure the cleanliness of the air space, isolation from excessive noise pollution, electromagnetic fields. The listed negative impacts generate intensive traffic flows, which are the main component of transport systems. The task of identifying the patterns of changes in motorization over the past five years has become important. Motoriization, as it was previously believed, is one of the characteristics of the well-being of the population. Growth is already accompanied in large cities by negative phenomena, such as: road accidents with loss of life; deterioration of air pool quality; excessive traffic noise; excessive electromagnetic fields that cause intense traffic flows. All these negative characteristics of the increase in the level of motorization formed the subject of this study. First of all, on the basis of statistical data, a chronological pattern of growth in the indicator of motorization has been found by year were revealed based of statistical data (they are described by showing filamentous and rectilinear equations): there is a constant increase for the period from 2017 to 2022. Functional dependencies of the influence of motorization levels on each of the hazards were also found: the influence of motorization on fatal road accidents and air pollution is described by exponential equations, and noise and electromagnetic ones are described by straight-line non-decreasing equations. Based on the obtained results, conclusions were drawn regarding the reduction of their impact by replacing conventional transport systems with intelligent transport systems with elements of artificial intelligence.
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