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A Statistical Framework for Measurin...

Dong, Zhihang.

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A Statistical Framework for Measuring the Temporal Stability of Human Mobility Patterns.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Statistical Framework for Measuring the Temporal Stability of Human Mobility Patterns./
作者:	Dong, Zhihang.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	38 p.
附註:	Source: Masters Abstracts International, Volume: 82-02.
Contained By:	Masters Abstracts International82-02.
標題:	Statistics. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27832729
ISBN:	9798664706987

A Statistical Framework for Measuring the Temporal Stability of Human Mobility Patterns.
Dong, Zhihang.

A Statistical Framework for Measuring the Temporal Stability of Human Mobility Patterns. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 38 p.

Source: Masters Abstracts International, Volume: 82-02.

Thesis (Master's)--University of Washington, 2020.

This item must not be sold to any third party vendors.

Despite the growing popularity of human mobility studies that collect GPS location data, the problem of determining the minimum required length of GPS monitoring has not been addressed in the current statistical literature. In this paper we tackle this problem by laying out a theoretical framework for assessing the temporal stability of human mobility based on GPS location data. We define several measures of the temporal dynamics of human spatiotemporal trajectories based on the average velocity process, and on activity distributions in a spatial observation window. We demonstrate the use of our methods with data that comprise the GPS locations of 185 individuals over the course of 18 months. Our empirical results suggest that GPS monitoring should be performed over periods of time that are significantly longer than what has been previously suggested. Furthermore, we argue that GPS study designs should take into account demographic groups.

ISBN: 9798664706987Subjects--Topical Terms:

517247
Statistics.
Subjects--Index Terms:

Human mobility patterns

A Statistical Framework for Measuring the Temporal Stability of Human Mobility Patterns.
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300 $a 38 p.
500 $a Source: Masters Abstracts International, Volume: 82-02.
500 $a Advisor: Dobra, Adrian;Crowder, Kyle.
502 $a Thesis (Master's)--University of Washington, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Despite the growing popularity of human mobility studies that collect GPS location data, the problem of determining the minimum required length of GPS monitoring has not been addressed in the current statistical literature. In this paper we tackle this problem by laying out a theoretical framework for assessing the temporal stability of human mobility based on GPS location data. We define several measures of the temporal dynamics of human spatiotemporal trajectories based on the average velocity process, and on activity distributions in a spatial observation window. We demonstrate the use of our methods with data that comprise the GPS locations of 185 individuals over the course of 18 months. Our empirical results suggest that GPS monitoring should be performed over periods of time that are significantly longer than what has been previously suggested. Furthermore, we argue that GPS study designs should take into account demographic groups.
590 $a School code: 0250.
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650 4 $a Demography. $3 614991
650 4 $a Sociology. $3 516174
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653 $a Temporal stability
653 $a GPS location data
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