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Gliebe, John; Koppelman, Frank S.

doi:10.1023/a:1012995509777

Cited by 149 publications

(13 citation statements)

References 16 publications

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“…Similarly, employed adults are also found to be less likely to undertake in-home discretionary activities and male students are less likely to undertake out-of-home discretionary activities during the day, possibly because of overall time constraints imposed by the work and school activities respectively. Finally, the availability of a personal vehicle increases the propensity of both men and women to undertake independent out-of-home activities, a finding also reported by Gliebe and Koppelman (2002). Further, we find that the impact of this variable for men is greater than for women.…”

Section: Individual Characteristicssupporting

confidence: 80%

“…Also, adults in households with more children are less likely to undertake joint out-of-home discretionary activities, as indicated by the negative coefficients on all the three children-related variables. Gliebe and Koppelman (2002) also report a similar influence of the presence of children, which is likely to be a reflection of household caretaking and care-sharing responsibilities. Further, we also find that the negative impact of the children of school-going age (i.e., 5-15 years) on the joint activity participation of their parents is stronger than that of younger children (of less than 5 years of age).…”

Section: Household Characteristicsmentioning

confidence: 76%

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A multiple discrete-continuous model for independent- and joint-discretionary-activity participation decisions

Srinivasan

Bhat

2006

Transportation

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This paper presents a multiple discrete-continuous econometric structure to model the daily time-investment decisions of couples in solo-and joint-discretionary activities incorporating intra-personal and inter-personal inter-dependencies. The empirical model was estimated using data from the 2000 Bay Area Travel Survey. The results indicate evidence of the positive impact of vehicle availability on independent activity participation and the negative impacts of the presence of children and mandatory time investments on the joint discretionary-activity engagement of the spouses. In addition, we also find the mandatory-and maintenance-activityparticipation characteristics of the spouse to influence the discretionary activity choices of individuals. Finally, the analysis also indicates a strong impact of common unobserved factors on the decisions of couples. From a policy analysis perspective, these results imply that demand-management actions directly impacting one adult could also result in changes to the activity patterns of his/her spouse and to changes in joint activity participation characteristics.

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Section: Individual Characteristicssupporting

confidence: 80%

Section: Household Characteristicsmentioning

confidence: 76%

A multiple discrete-continuous model for independent- and joint-discretionary-activity participation decisions

Srinivasan

Bhat

2006

Transportation

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“…From an activity purpose viewpoint, several previous studies have focused on discretionary activity participation (8,14), while others have focused on maintenance activity participation (15)(16)(17). In addition, some studies have investigated the tradeoffs and substitution effects between in-home and out-of-home activity participation (16,18), and several recent research studies are starting to examine time-use in the context of such related dimensions of activity-travel behavior as inter-personal interdependencies (19) and multiday/weekly time-use behavior (20,21).…”

Section: Activity Time-use Analysismentioning

confidence: 99%

Comprehensive Model of Worker Nonwork-Activity Time Use and Timing Behavior

Rajagopalan

Pinjari

Bhat

2009

Transportation Research Record: Journal of the Transportation R

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This study contributes to the literature on activity time-use and activity timing analysis by developing a comprehensive, high resolution, out-of-home non-work activity generation model that considers daily activity time-use behavior and activity timing preferences in a unified random utility framework. The empirical analysis is undertaken using data from the 2000 Bay Area Travel Survey. Several important household and commuter demographics, commute characteristics, and activity-travel environment attributes are found to be significant determinants of workers' non-work activity time-use and timing behavior. The comprehensive model developed in this paper can serve as an activity generation module in an activity-based travel demand microsimulation framework.Rajagopalan, Pinjari, and Bhat 1 INTRODUCTIONA fundamental difference between the trip-based and the activity-based approaches to travel modeling is in the way "time" is considered and treated in the analysis framework (1, 2). In the trip-based approach, time is reduced to being simply a "cost" of making a trip. The activitybased approach, on the other hand, treats time as an all-encompassing entity within which individuals make activity/travel participation decisions (3). Because of the treatment of time as the "building block" for activity-travel patterns in the activity-based approach, a significant amount of research has focused on two specific aspects of the time-dimension of activity participation behavior: (1) Activity time-use, and (2) Activity timing. Each of these is discussed in turn in the next two sections.

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“…First, compared to people in the work force, most seniors have a more flexible schedule, which is relatively easier for them to schedule activities with people due to much less constraints [29][30][31][32]. This, however, is inconsistent to the fact that seniors showed lower social contacts as observed.…”

Section: Conclusion and Discussionmentioning

confidence: 92%