Modeling the daily activity pattern in the process of activity-based models

Articles in Press

Document Type : Original Article

Authors

1 School of Civil Engineering-Iran University of Science and Technology

2 School of Civil Engineering, Iran University of Science and Technology

10.22034/road.2024.424283.2218

Abstract

The aim of this study is to investigate the impact of socio-economic variables on the activity pattern of people during the day to predict their travel behavior. The data was obtained through 2007/2008 household travel survey conducted among families in Washington. Using seven activity purpose (work, school, escort, personal business (freelance work and virtual work with phone and internet), shopping, meal, and social/recreational) and variables in several categories (type of people, age group, household income, household composition, gender/child), a daily activity pattern model was created. For each of the seven activity purpose, three alternatives (one tour, two tours, and three or more tours) were created for the second model, which calculated an exact number of tours for each of the seven tour activity purpose. The third model, which is the model of the number and purpose of work-based sub-tours, looks at how certain aspects of people's daily activity patterns and some socioeconomic variables influence the selection of work-based sub-tours. According to the results of the model, the value of ρ^2 (C) in the daily activity pattern model was equal to 0.1527. According to similar studies in the field of activity pattern models as well as the large number of parameters of the present model, the value of 0.1527 is evaluated as very favorable. Finally, each of these models was analyzed and examined and it was observed that the sign and value of each of the estimated parameters of the model seems reasonable and significantly influences people's preferences and choices.

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