The IAB-SMART-Mobility Module: An Innovative Research Dataset with Mobility Indicators Based on Raw Geodata

IF 1.1 4区 经济学 Q3 ECONOMICS
Florian Zimmermann, Andreas Filser, G. Haas, Sebastian Bähr
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引用次数: 0

Abstract

Abstract The ubiquity of smartphones has enabled the collection of novel data through their built-in sensors, including geolocation data which can be used to understand mobility behavior. In this project, we leveraged longitudinal geolocation data collected from participants in the 2018 German app study IAB-SMART to develop a set of mobility indicators, such as visited unique locations and traveled distance. The indicators can be linked to the Panel Study Labour Market and Social Security (PASS) survey and administrative employment histories. The resulting novel dataset offers a unique opportunity to study the relationship between mobility and labor market outcomes. This article provides an overview of the study, outlines the data preparation process, and the socio-demographic characteristics of the 398 participants of the IAB-SMART-Mobility module. We present the mobility indicators generated from the geolocation data and provide guidance for accessing the Institute for Employment Research’s (IAB) data.
智能交通模块:基于原始地理数据的交通指标创新研究数据集
智能手机的普及使得通过其内置传感器收集新数据成为可能,其中包括可用于了解移动行为的地理位置数据。在这个项目中,我们利用从2018年德国应用程序研究IAB-SMART的参与者那里收集的纵向地理定位数据来开发一套移动性指标,例如访问的独特地点和行驶距离。这些指标可以与劳动力市场和社会保障小组研究(PASS)调查和行政就业历史联系起来。由此产生的新数据集为研究流动性与劳动力市场结果之间的关系提供了一个独特的机会。本文概述了该研究,概述了数据准备过程,以及IAB-SMART-Mobility模块398名参与者的社会人口特征。我们提出了从地理位置数据生成的流动性指标,并为访问就业研究所(IAB)数据提供指导。
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来源期刊
CiteScore
2.70
自引率
23.10%
发文量
31
期刊介绍: Die Jahrbücher für Nationalökonomie und Statistik existieren seit dem Jahr 1863. Die Herausgeber fühlen sich der Tradition verpflichtet, die Zeitschrift für kritische, innovative und entwicklungsträchtige Beiträge offen zu halten. Weder thematisch noch methodisch sollen die Veröffentlichungen auf jeweils herrschende Lehrmeinungen eingeengt werden.
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