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The Role of Mobility in the Socio-Sp...
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Liu, Qingsong.
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The Role of Mobility in the Socio-Spatial Segregation Assessment with Social Media Data.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Role of Mobility in the Socio-Spatial Segregation Assessment with Social Media Data./
作者:
Liu, Qingsong.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
126 p.
附註:
Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
Contained By:
Dissertations Abstracts International82-12B.
標題:
Geography. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28581890
ISBN:
9798728266020
The Role of Mobility in the Socio-Spatial Segregation Assessment with Social Media Data.
Liu, Qingsong.
The Role of Mobility in the Socio-Spatial Segregation Assessment with Social Media Data.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 126 p.
Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
Thesis (Ph.D.)--Kent State University, 2021.
This item must not be sold to any third party vendors.
We are now in an information age. The ubiquitous smartphones and location-aware technologies generate vast amounts of geotagged big data on peoples' spatial activities and movement trajectories. With these geotagged big data, researchers can include population movement into socio-spatial segregation assessment in finer spatial and temporal scales. However, further study is still needed to apply the patterns and structural characteristics of population mobility to research on socio-spatial segregation assessment. Therefore, this research aims to understand and quantify the socio-spatial segregation from activity spaces and human mobility perspective using Volunteered Geographic Information (VGI). I designed a comprehensive analytical framework to evaluate and analyze socio-spatial segregation using human mobility information obtained from VGI. It includes collecting VGI data, classifying VGI users, extracting mobility information from VGI, constructing and analyzing interaction networks, evaluating dynamic socio-spatial segregation, representativeness analysis of VGI, and results' visualization and mapping. This dissertation focuses on analyzing mobility patterns for different VGI user groups, evaluating dynamic socio-spatial segregation, and representativeness analysis of VGI.
ISBN: 9798728266020Subjects--Topical Terms:
524010
Geography.
Subjects--Index Terms:
Dynamic socio-spatial segregation
The Role of Mobility in the Socio-Spatial Segregation Assessment with Social Media Data.
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We are now in an information age. The ubiquitous smartphones and location-aware technologies generate vast amounts of geotagged big data on peoples' spatial activities and movement trajectories. With these geotagged big data, researchers can include population movement into socio-spatial segregation assessment in finer spatial and temporal scales. However, further study is still needed to apply the patterns and structural characteristics of population mobility to research on socio-spatial segregation assessment. Therefore, this research aims to understand and quantify the socio-spatial segregation from activity spaces and human mobility perspective using Volunteered Geographic Information (VGI). I designed a comprehensive analytical framework to evaluate and analyze socio-spatial segregation using human mobility information obtained from VGI. It includes collecting VGI data, classifying VGI users, extracting mobility information from VGI, constructing and analyzing interaction networks, evaluating dynamic socio-spatial segregation, representativeness analysis of VGI, and results' visualization and mapping. This dissertation focuses on analyzing mobility patterns for different VGI user groups, evaluating dynamic socio-spatial segregation, and representativeness analysis of VGI.
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