Analysis of Factors Affecting Travel Time Change Using the Time Use Survey Data in Seoul

Author(s):  
Ja hun Koo ◽  
◽  
Sangho Choo
Author(s):  
Simona Jokubauskaitė ◽  
Alyssa Schneebaum

AbstractWe propose an improved method to assess the economic value of unpaid housework and childcare. Existing literature has typically assigned a minimum, generalist or specialist’s wage, or the performer’s opportunity cost to the hourly value of these activities. Then it was used to calculate macro-level value based on the number of hours spent in this work. In this paper, instead of imputing an average or minimum wage for housework and childcare to determine a value to the work, we use the actual local wage rate requested for these services from providers on online platforms. Applying this method to Austrian Time Use Survey data shows that the value of unpaid childcare and housework, had it been paid, would be equivalent to about 22% of the 2018 GDP.


2016 ◽  
Vol 28 (1) ◽  
pp. 175-199 ◽  
Author(s):  
Jacopo Torriti ◽  
Isabel Santiago

Recent research and policy studies on the low-carbon future highlight the importance of flexible electricity demand. This might be problematic particularly for residential electricity demand, which is related to simultaneous consumers’ practices in the household. This paper analyses issues of simultaneity in residential electricity demand in Spain. It makes use of the 2011 Spanish Time Use Survey data with comparisons from the previous Spanish Time Use Survey and the Harmonised European Time Use Surveys. Findings show that media activities are associated with the highest levels of continuity and simultaneity, particularly in the early and late parts of the evening during weekdays.


2020 ◽  
Author(s):  
Kamila Kolpashnikova

In this paper, I will demonstrate how to create tempograms using the original American Time Use Survey data from the US Bureau of Labor Statistics2. For this project, the 2003-2018sample of diaries is used (file names: atusact0318 and atussum0318).Additionally, I identify the bottleneck, where the performance of Stata’s underlying functions could be optimised to improve the work with time-use data for researchers who use Stata.


2019 ◽  
Author(s):  
Yu-Jin Cha

Abstract Background: The purpose of this study was to identify whether there is a difference in time use between a group of subjects with occupational balance, the occupational balance group (OB group) and a group of subjects lacking occupational balance, the occupational imbalance group (OI group), and what factors influence the life satisfaction of the OB group. This study used raw data from the 2014 Time Use Survey of the Korea National Statistical Office (KOSTAT). Methods: This study sorted detailed activities of the 9.228 subjects who were over 65 years of age. We conducted an independent sample t-test to confirm the time difference by areas between the OB group and the OI groups. In order to confirm the effect of variables on life satisfaction, we performed regression analysis by applying an ordered probit model (OPM). Results: The analysis of time use corresponding to eight activity areas showed the greatest time use for the instrumental activities of daily living (IADL), followed by rest and sleep, leisure, and activities of daily living (ADL). The largest effect size (ES) was social participation, followed by leisure, IADL, and work. As a result of analyzing the factors affecting the life satisfaction of the OB group, we found that lower age, females, a higher level of education, a lower need for care, higher income, and agricultural residence tended to correspond to higher life satisfaction. Conclusions : This study may provide a basis for the development of the time‐use management and lifestyle redesign programs to assist older adults in pursuing disease prevention and health maintenance roles by themselves.


2019 ◽  
Vol 202 ◽  
pp. 109355 ◽  
Author(s):  
Kyriaki Foteinaki ◽  
Rongling Li ◽  
Carsten Rode ◽  
Rune Korsholm Andersen

2021 ◽  
Vol 252 ◽  
pp. 111440
Author(s):  
Bongchan Jeong ◽  
Jungsoo Kim ◽  
Richard de Dear
Keyword(s):  
Time Use ◽  

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