Time Use and Travel Behavior in Space and Time

2002 ◽  
Author(s):  
Ram Pendyala
Keyword(s):  
Time Use ◽  
Travel Behavior ◽  
Space And Time

scholarly journals MEASURING SPACE AND TIME USE, PHYSICAL AND SOCIAL ACTIVITIES AMONG NON-ENGLISH SPEAKING LATE-LIFE ASIAN IMMIGRANTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S196-S197
Author(s):  
Wenjun Li ◽  
Linda Churchill ◽  
Jie Cheng ◽  
Rachel Siden ◽  
Annabella Aguirre ◽  
...  
Keyword(s):  
Time Use ◽  
Healthy Aging ◽  
Specific Activity ◽  
Late Life ◽  
Asian Immigrants ◽  
Self Report ◽  
Social Activities ◽  
Space And Time ◽  
English Speaking ◽  
Gps Devices

Abstract Little is known about the health and health care needs of non-English Speaking late-life Asian immigrants. Due to language barriers and memory issues, self-report data are unreliable for investigating activity patterns in this population. In the ongoing NIA-funded Healthy Aging and Neighborhood Study, we developed a novel method to objectively measure space and time use, location- and time-specific physical and social activities using accelerometer (ACC) and Global Positioning System (GPS) devices. The study has recruited over 150 Caucasians and 150 minorities including 50 non-English speaking late-life Asian immigrants. The participants answered surveys in their preferred language (English, Spanish, traditional or simplified Chinese) and wore ACC/GPS devices for 7 to 10 full days. Activity levels and geographic locations are recorded every 30 seconds. Using the combined ACC/GPS data, time- and location-specific activity amounts, time use and mobility patterns are objectively measured. Baseline findings will be reported at the GSA conference.

Gender Differences in Activities and Mobility in the Netherlands, 1975 to 1990

1997 ◽  
Vol 1607 (1) ◽  
pp. 134-138 ◽  
Author(s):  
Paul van Beek ◽  
Nelly Kalfs ◽  
Ursula Blom
Keyword(s):  
Gender Differences ◽  
The Netherlands ◽  
Time Use ◽  
Travel Behavior ◽  
Time Budget ◽  
Paid Work ◽  
Men And Women ◽  
Male And Female ◽  
Car Use ◽  
The Difference

As in many other countries, a growing number of women in the Netherlands are entering the labor market. The difference between male and female participation in paid work is decreasing, and more men are taking care of domestic duties. It is expected that these changes will lead to growing numbers of task combiners and to more similar patterns of travel behavior for men and women. The intention of the present research is to investigate these expectations for the situation in the Netherlands. For this goal two groups of time budget data for the period from 1975 to 1990 were analyzed. The focus was on gender differences in trends in time use and mobility. The results indicate that between 1975 and 1990, the distribution of paid work and domestic work by men and women changed, more men and women were performing combinations of obligatory tasks, gender differences in mobility became smaller, and car use, both for men and for women, depended heavily on the workload of an out-of-home paid job.

scholarly journals OBJECTIVELY MEASURED SPACE AND TIME USE AMONG OLDER MEN AND WOMEN

2018 ◽  
Vol 2 (suppl_1) ◽  
pp. 676-676
Author(s):  
W Li ◽  
L Churchill ◽  
J Cheng ◽  
K Kane ◽  
E Procter-Gray ◽  
...  
Keyword(s):  
Time Use ◽  
Older Men ◽  
Men And Women ◽  
Space And Time ◽  
Objectively Measured ◽  
Older Men And Women

Telecommuting and Its Impact on Activity–Time Use Patterns of Dual-Earner Households

2017 ◽  
Vol 2658 (1) ◽  
pp. 17-25 ◽  
Author(s):  
Rajesh Paleti ◽  
Ivana Vukovic
Keyword(s):  
Time Use ◽  
Travel Behavior ◽  
Travel Demand ◽  
Demand Forecasting ◽  
Interaction Effects ◽  
Extreme Value ◽  
Activity Time ◽  
Household Level ◽  
Use Patterns ◽  
Dual Earner

Telecommuting choices of workers in multiworker households are likely to be interdependent. These telecommuting choices may also affect the activity–time use choices of all people in the household. From the standpoint of travel behavior and travel demand forecasting, it is important to test these hypotheses and quantify the relationship between telecommuting choices and activity–time use patterns. To do this, the present study developed a generalized extreme value–based joint count model for analyzing the monthly frequency of choosing to telecommute of workers in dual-earner households. A panel multiple discrete continuous extreme value model was also developed to study activity–time use decisions while accounting for household-level interaction effects. The study findings confirm the presence of strong intrahousehold interaction effects in both the telecommuting and activity–time use choices of workers. Telecommuting choices were found to have a significant influence on daily activity–time use decisions for both mandatory and nonmandatory activities.

Time Use, Disability, and Mobility of Older Americans

2017 ◽  
Vol 2650 (1) ◽  
pp. 58-65 ◽  
Author(s):  
Moyin Li ◽  
Nebiyou Tilahun
Keyword(s):  
Life Satisfaction ◽  
Time Use ◽  
Travel Behavior ◽  
Leisure Time ◽  
Leisure Activities ◽  
Negative Relationship ◽  
Time Data ◽  
Older Americans ◽  
Face To Face ◽  
Face Time

This study explored how disability, mobility, social and leisure engagement, and travel behavior influence older people’s life satisfaction. The study used the 2013 Disability and Use of Time data for people ages 50 years and older, many of whom reported physical impairments. The study developed a model that related life satisfaction with various time use, disability, and mobility variables. Summary statistics of time use showed that as people aged, they spent more time on solitary, passive leisure activities; social face-to-face time did not seem to change very much. Alone passive leisure time use was especially large for those who experienced a physical mobility-related disability and were carless. The study used an ordinal logistic regression and found that longer alone leisure time uses were associated with lower life satisfaction. Life satisfaction was positively affected by transportation variables, such as vehicle availability. The study also found that social face-to-face time use had a weak positive relationship with life satisfaction, and technology-mediated social activities had a strong negative relationship with life satisfaction.

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