Abstract
AbstractThe impacts of work characteristics on travel mode choice behavior has been studied for a long time, focusing on the work type, income, duration, and working time. However, there are no comprehensive studies on the influence of travel behavior. Therefore, this study examines the influence of work environment as a mediator of socio-economic variables, trip characteristics, transportation infrastructure and services, the environment and choice of transportation mode on work trips. The mode of transportation consists of three variables, including public transportation (bus rapid transit and mass rapid transit), private vehicles (cars and motorbikes), and online transportation (online taxis and motorbike taxis online). Multivariate analysis using the partial least squares-structural equation modeling method was used to explain the relationship between variables in the model. According to the results, the mediating impact of work environment is significant on transportation choices only for environmental variables. The mediating mode choice effect is negative for public transportation and complimentary for private vehicles and online transportation. Other variables directly affect mode choice, including the influence of work environment.
Highlights
To forecast transportation demand, a thorough understanding of travel behavior is necessary
This study examines the effect of latent variables work environment (WE), socio-economic (SE), trip characteristics (TC), transportation infrastructure and services (TIS) and the environment (Env) on the choice of transportation modes
Other parameters were used to assess convergent validity based on the average variance extracted (AVE) value > 0.5 [46]
Summary
To forecast transportation demand, a thorough understanding of travel behavior is necessary. From various mode choice studies, several models have been developed. There debates on the right model as choices relates to the inconsistency of people’s behavior [6]. Various studies reviewed travel demand management to reduce private vehicles’ use for satisfaction since 2000 [7]. Travel model development is mainly used to overcome transportation problems, such as traffic jams, accidents, and pollution [8]. Studies related to mode choice on work trips have increased tremendously. Most of them have emphasized on factors influencing workers to use modes and policy solutions in controlling mode choice behavior and realized workers’ smart mobility. Travel distance relates to the existing road network structure and affects time and transportation mode [19]
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