TY - JOUR
T1 - A household-level activity pattern generation model with an application for Southern California
AU - Bhat, Chandra R.
AU - Goulias, Konstadinos G.
AU - Pendyala, Ram
AU - Paleti, Rajesh
AU - Sidharthan, Raghuprasad
AU - Schmitt, Laura
AU - Hu, Hsi Hwa
PY - 2013/9/1
Y1 - 2013/9/1
N2 - This paper develops and estimates a multiple discrete continuous extreme value model of household activity generation that jointly predicts the activity participation decisions of all individuals in a household by activity purpose and the precise combination of individuals participating. The model is estimated on a sample obtained from the post census regional household travel survey conducted by the South California Association of Governments in the year 2000. A host of household, individual, and residential neighborhood accessibility measures are used as explanatory variables. The results reveal that, in addition to household and individual demographics, the built environment of the home zone also impacts the activity participation levels and durations of households. A validation exercise is undertaken to evaluate the ability of the proposed model to predict participation levels and durations. In addition to providing richness in behavioral detail, the model can be easily embedded in an activity-based microsimulation framework and is computationally efficient as it obviates the need for several hierarchical sub-models typically used in extant activity-based systems to generate activity patterns.
AB - This paper develops and estimates a multiple discrete continuous extreme value model of household activity generation that jointly predicts the activity participation decisions of all individuals in a household by activity purpose and the precise combination of individuals participating. The model is estimated on a sample obtained from the post census regional household travel survey conducted by the South California Association of Governments in the year 2000. A host of household, individual, and residential neighborhood accessibility measures are used as explanatory variables. The results reveal that, in addition to household and individual demographics, the built environment of the home zone also impacts the activity participation levels and durations of households. A validation exercise is undertaken to evaluate the ability of the proposed model to predict participation levels and durations. In addition to providing richness in behavioral detail, the model can be easily embedded in an activity-based microsimulation framework and is computationally efficient as it obviates the need for several hierarchical sub-models typically used in extant activity-based systems to generate activity patterns.
KW - Activity-based travel demand modeling
KW - Intrahousehold interactions
KW - Joint activity participation
KW - Multiple-discreteness
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U2 - 10.1007/s11116-013-9452-y
DO - 10.1007/s11116-013-9452-y
M3 - Article
AN - SCOPUS:84883132465
SN - 0049-4488
VL - 40
SP - 1063
EP - 1086
JO - Transportation
JF - Transportation
IS - 5
ER -