莫斯科地区循环劳动力流动监测方法

Q2 Social Sciences
Yuliia Shitova
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引用次数: 1

摘要

本文以莫斯科地区为例,介绍了原作者监测一个地区通勤劳动力迁移的方法。该方法基于从Yandex.Probki平台定期收集关于区域交通网络状态的实时信息,通过查询和节省覆盖研究区域的一组固定汽车路线(基本样本)的旅行时间。通过对过去两年收集的数据进行分析,可以研究通勤劳动力移民旅行时间损失的结构和动态。损失的时间动态对封锁和假期等事件很敏感。所获得的估计值显示,旅行时间损失在一天和一周内具有稳定的周期性,这证实了作者提出的指标的有效性。研究表明,高峰时段通勤时间的损失是没有交通堵塞时的2.5倍。最后,本文讨论了将作者的方法扩展到Yandex.Probki平台所在的任何地区的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodology for Monitoring the Mobility of Circular Labour Migrants in Moscow Region
The paper presents the original author’s methodology for monitoring commuting labour migration in a region on the example of Moscow Region. The methodology is based on regular collection of real-time information from the Yandex.Probki platform on the regional transport network state by querying and saving travel time for a fixed set of car routes (basic sample) covering the region under study. An analysis of the data collected over the past two years enabled studying the structure and dynamics of travel time losses by commuting labour migrants. The time dynamics of losses are sensitive to events such as lockdowns and holidays. The estimates obtained show a stable cyclicity of travel time losses within a day and a week, which confirms the validity of the indicator proposed by the author. The study demonstrates that the loss of time on the commute during peak hours is 2.5 times higher than the loss when driving without traffic jams. In conclusion, the paper discusses the prospects for scaling the author’s methodology to any regions in which the Yandex.Probki platform is present.
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来源期刊
Naselenie i ekonomika
Naselenie i ekonomika Social Sciences-Gender Studies
CiteScore
2.10
自引率
0.00%
发文量
19
审稿时长
12 weeks
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