|
KMID : 1001320210480040051
|
|
Social Welfare Policy
2021 Volume.48 No. 4 p.51 ~ p.77
|
|
|
Sociological Exploration of Daily Movement - Patterns of Seoul Citizens and Differences -
|
|
Song Ki-Ho
Jo Nam-Kyoung
|
|
|
Abstract
|
|
|
Whilst general and academic interest in mobility is recently growing, movement in everyday life has received little academic attention. In this study we analyzed location information data collected through personal mobile devices in order to deepen our understanding of ‘daily movements’. As there are few prior sociological empirical studies both focusing on daily movement and using so-called ‘Big data’ of location information, this study was conducted from an exploratory and ‘big data analysis’ approach. This means that we focused on revealing the actual (collective) aspects of cases themselves, not finding a kind of causational relation inferred from a sample.
The location information data of SKT users who live in Seoul for the whole month of February 2019 were analysed here. It was found that Seoul citizens move more on weekdays than weekends, but move longer on weekends than weekdays. The patterns of daily movement differ across gender, age, and disability: the daily movement of the disabled, female, the elderly and elderly women with disabilities is more limited in that order if compared with that of men; women’s daily movement is atrophied and fixed after entering their 30s, compared with men’s daily movement; and the excessively limited daily movement of teenagers appears to be repressed if compared with that of 20s; finally, unlike other age groups, the daily movement of persons with disabilities in teenagers is longer than that of teenagers without disabilities, implying ‘repressed daily movement’ in another direction, that is, ‘unwanted movement’ due to inequality in educational opportunities.
This study attempted to contribute to our understanding of people’s daily movement from a sociological perspective by analyzing the actual information of moving in everyday lives and confirming the differences between daily movements across gender, age, and disability.
|
|
|
KEYWORD
|
|
|
daily movement, location information data, big data analysis, exclusion of movement, disability, female, teenager
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|