TY - JOUR
T1 - An empirical analysis of children's after school out-of-home activity-location engagement patterns and time allocation
AU - Paleti, Rajesh
AU - Copperman, Rachel B.
AU - Bhat, Chandra R.
N1 - Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2011/3
Y1 - 2011/3
N2 - Children are an often overlooked and understudied population group, whose travel needs are responsible for a significant number of trips made by a household. In addition, children's travel and activity participation during the post-school period have direct implication for adults' activity-travel patterns. A better understanding of children's after school activity-travel patterns and the linkages between parents and children's activity-travel needs is necessary for accurate prediction and forecasting of activity-based travel demand modeling systems. In this paper, data from the 2002 Child Development Supplement of the Panel Study of Income Dynamics is used to undertake a comprehensive assessment of the post-school out-of-home activity-location engagement patterns of children aged 5-17 years. Specifically, this research effort utilizes a multinomial logit model to analyze children's post-school location patterns, and employs a multiple discrete-continuous extreme value model to study the propensity of children to participate in, and allocate time to, multiple activity episode purpose-location types during the after-school period. The results show that a wide variety of demographic, attitudinal, environmental, and others' activity-travel pattern characteristics impact children's after school activity engagement patterns.
AB - Children are an often overlooked and understudied population group, whose travel needs are responsible for a significant number of trips made by a household. In addition, children's travel and activity participation during the post-school period have direct implication for adults' activity-travel patterns. A better understanding of children's after school activity-travel patterns and the linkages between parents and children's activity-travel needs is necessary for accurate prediction and forecasting of activity-based travel demand modeling systems. In this paper, data from the 2002 Child Development Supplement of the Panel Study of Income Dynamics is used to undertake a comprehensive assessment of the post-school out-of-home activity-location engagement patterns of children aged 5-17 years. Specifically, this research effort utilizes a multinomial logit model to analyze children's post-school location patterns, and employs a multiple discrete-continuous extreme value model to study the propensity of children to participate in, and allocate time to, multiple activity episode purpose-location types during the after-school period. The results show that a wide variety of demographic, attitudinal, environmental, and others' activity-travel pattern characteristics impact children's after school activity engagement patterns.
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U2 - 10.1007/s11116-010-9300-2
DO - 10.1007/s11116-010-9300-2
M3 - Article
AN - SCOPUS:79951812222
SN - 0049-4488
VL - 38
SP - 273
EP - 303
JO - Transportation
JF - Transportation
IS - 2
ER -