東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A Statistical Framework for Measurin...

Dong, Zhihang.

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Statistical Framework for Measuring the Temporal Stability of Human Mobility Patterns./
Author:	Dong, Zhihang.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	38 p.
Notes:	Source: Masters Abstracts International, Volume: 82-02.
Contained By:	Masters Abstracts International82-02.
Subject:	Statistics. -
Online resource:	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.
LDR:02067nmm a2200349 4500 001 2284806
005 20211124093227.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798664706987
035 $a (MiAaPQ)AAI27832729
035 $a AAI27832729
040 $a MiAaPQ $c MiAaPQ
100 1 $a Dong, Zhihang. $3 3564004
245 1 0 $a A Statistical Framework for Measuring the Temporal Stability of Human Mobility Patterns.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
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.
650 4 $a Statistics. $3 517247
650 4 $a Demography. $3 614991
650 4 $a Sociology. $3 516174
653 $a Human mobility patterns
653 $a Temporal stability
653 $a GPS location data
690 $a 0463
690 $a 0938
690 $a 0626
710 2 $a University of Washington. $b Sociology. $3 3169394
773 0 $t Masters Abstracts International $g 82-02.
790 $a 0250
791 $a Master's
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27832729