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51.
Discretionary activity time allocation of individuals between in-home and out-of-home and between weekdays and weekends 总被引:1,自引:2,他引:1
This paper formulates a model for the allocation of total weekly discretionary time of individuals between in-home and out- of-home locations and between weekdays and the weekend. The model formulation takes the form of a continuous utility-maximizing resource allocation problem. The formulation is applied to an empirical analysis using data drawn from a 1985 time-use survey conducted in the Netherlands. This survey gathered time-use information from individuals over a period of one week and also collected detailed household-personal socio-demographic data. The empirical analysis uses household socio-demographics, individual socio-demographics, and work-related characteristics as the explanatory variables. Among the explanatory variables, age of the individual and work duration during the weekdays appear to be the most important determinants of discretionary time allocation. 相似文献
52.
The purpose of this study is to examine the spatial and temporal characteristics of weekend work episodes. Specifically, we
examine whether individuals work over the weekend and, if they work, whether they work at home or outside the home. We also
model the time of day of weekend work. The empirical analysis in the paper is based on the 2000 San Francisco Bay Area Travel
Survey. The results indicate the important effects of day of week/seasonal effects, individual demographics, work-related
variables, household characteristics, and location variables on weekend work participation characteristics. The models estimated
in the paper may be embedded within a larger weekend activity-travel pattern forecasting model system. 相似文献
53.
An analysis of the social context of children’s weekend discretionary activity participation 总被引:3,自引:1,他引:2
This paper examines the discretionary time-use of children, including the social context of children’s participations. Specifically,
the paper examines participation and time investment in in-home leisure as well as five different types of out-of-home discretionary
activities: (1) shopping, (2) social, (3) meals, (4) passive recreation (i.e., physically inactive recreation, such as going
to the movies or a concert), and (5) active recreation (i.e., physically active recreation, such as playing tennis or running).
The social context of children’s activity participation is also examined by focusing on the accompanying individuals in children’s
activity engagement. The accompanying arrangement is classified into one of six categories: (1) alone, (2) with mother and
no one else, (3) with father and no one else, (4) with both mother and father, and no one else, (5) with other individuals,
but no parents, and (6) with other individuals and one or both parents. The utility-theoretic Multiple Discrete-Continuous
Extreme Value (MDCEV) is employed to model time-use in one or more activity purpose–company type combinations. The data used
in the analysis is drawn from the 2002 Child Development Supplement (CDS) to the U.S. Panel Study Income Dynamics (PSID).
The results from the model can be used to examine the time-use choices of children, as well as to assess the potential impacts
of urban and societal policies on children’s activity participation and time-use decisions. Our findings also emphasize the
need to collect, in future travel surveys, more extensive and higher quality data capturing the intra- and inter-household
interactions between individuals (including children). To our knowledge, the research in this paper is the first transportation-related
study to rigorously and comprehensively analyze the social dimension of children’s activity participation.
Ipek Nese Sener is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Dr. Chandra R. Bhat has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE). 相似文献
Chandra R. Bhat (Corresponding author)Email: |
Ipek Nese Sener is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Dr. Chandra R. Bhat has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE). 相似文献