SEM application to the household travel survey on weekends versus weekdays: the case of Seoul, South Korea

Abstract

Purpose This study analyzes the relationship that land use has with weekend travel in comparison to weekday travel. Unlike previous studies, it uses the same sample for two models that are specified to test the relationship separately for weekday and weekend travel. Methods Structural equation modeling is employed to test the land use-travel relationship. A comparison is made using two mode-specific travel measures: trip frequency and travel time.Results On weekday travel, land use in Seoul tends to reduce automobile trips and to add transit and nonmotorized trips. This does not lead to a reduction in the total frequency of weekday trips. Instead, an overall reduction occurs in the frequency of weekend trips because the addition of transit and nonmotorized trips is less than the reduction of automobile trips. Conclusions The application of structural equation modeling to a Seoul household travel survey confirms the opposing role of land use in travel mode choices on weekdays versus weekends.

Perceptions of Pedestrian and Cyclist Environments, Travel Behaviors, and Social Networks

“…Structural Equation Modeling (SEM) is a very powerful tool that it is increasingly used in travel behavior research [30][31][32][33][34][35]. In SEM, the relationships between theoretical constructs are represented by regression or path coefficients between the factors [36].…”

Designing pandemic resilient cities: Exploring the impacts of the built environment on infection risk perception and subjective well-being

“…specified as linear combinations of the observed variables ( Delbosc et al, 2020 , Golob, 2003 ). Additionally, SEM allows the assessment of highly collinear built environment variables in the same setting ( Gim, 2018 ). SEM can examine the distinctions between the total, direct, and indirect effects among the variables included in the analysis ( Chen and Akar, 2017 , Van Acker et al, 2007 ).…”

An analysis of the role of residential location on the relationships between time spent online and non-mandatory activity-travel time use over time

“…For modeling purposes (see Section 4), along with the time spent on each of the aforementioned activities and trips, the time spent on "other" activities that included any other types of daily activities, such as in-home activities without travel needs, was also computed by subtracting the total amount of time spent on mandatory and nonmandatory outdoor activities and associated trips, as well as daily sleep duration (assumed to be 7 hours a day) from the total daily time budget (24 × 60 = 1,440 minutes). Moreover, the date of the activity and trip-making (weekdays or weekends) was also included as an independent variable in this study, as many studies (Bhat & Misra, 1999;Schlich & Axhausen, 2003;Zhong et al, 2008;Gim, 2018;) have shown that individuals' activity-travel patterns for different purposes vary greatly between weekdays and weekends.…”