流动性偏差指数:将地理环境纳入人类流动性分析

IF 2.8 3区 地球科学 Q1 GEOGRAPHY
Milad Malekzadeh, Jed A. Long
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引用次数: 0

摘要

许多研究试图研究社会经济因素与人口流动指标之间的关系。然而,有资料表明,流动水平也受个人流动所处的地理环境的影响。在此,我们检验了在研究与社会经济因素的关联时,考虑地理环境是否会对人类流动行为产生新的或不同的解释。具体来说,我们将流动性偏差指数定义为特定地点观察到的流动性与预期流动性相比的相对水平,其中预期流动性考虑了地理环境因素。我们的研究结果凸显了在解释人类流动的空间模式时,环境所起的重要作用。我们证明,控制地理环境的影响将极大地影响我们对人口流动性和社会经济变量之间关联的解释。这些结果标志着我们在进一步理解地点对人类流动模式的作用方面迈出了重要一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mobility deviation index: incorporating geographical context into analysis of human mobility

Mobility deviation index: incorporating geographical context into analysis of human mobility

Many studies seek to study the relationship between socioeconomic factors and human mobility indicators. However, it is well documented that mobility levels are also driven by the geographical context where individual movement takes place. Here we test whether accounting for geographical context leads to new or different interpretations of human mobility behavior when studying associations with socioeconomic factors. Specifically, we define mobility deviation index as the relative level of observed mobility when compared to expected mobility for a specific location, where expected mobility accounts for geographical context. Our results highlight the significant role of context when interpreting spatial patterns of human mobility. We demonstrate that controlling for the effects of geographical context will substantially impact our interpretation of associations between measures of human mobility and socioeconomic variables. These results represent an important step in furthering our understanding of the role of place on human mobility patterns.

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来源期刊
CiteScore
5.40
自引率
6.90%
发文量
33
期刊介绍: The Journal of Geographical Systems (JGS) is an interdisciplinary peer-reviewed academic journal that aims to encourage and promote high-quality scholarship on new theoretical or empirical results, models and methods in the social sciences. It solicits original papers with a spatial dimension that can be of interest to social scientists. Coverage includes regional science, economic geography, spatial economics, regional and urban economics, GIScience and GeoComputation, big data and machine learning. Spatial analysis, spatial econometrics and statistics are strongly represented. One of the distinctive features of the journal is its concern for the interface between modeling, statistical techniques and spatial issues in a wide spectrum of related fields. An important goal of the journal is to encourage a spatial perspective in the social sciences that emphasizes geographical space as a relevant dimension to our understanding of socio-economic phenomena. Contributions should be of high-quality, be technically well-crafted, make a substantial contribution to the subject and contain a spatial dimension. The journal also aims to publish, review and survey articles that make recent theoretical and methodological developments more readily accessible to the audience of the journal. All papers of this journal have undergone rigorous double-blind peer-review, based on initial editor screening and with at least two peer reviewers. Officially cited as J Geogr Syst
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