Effect of Land Use on Travel Behavior—A Case Study of Shenzhen Using the Structural Equation Modeling Framework

The process of land use and travel behavior interactions can help to solve transportation congestion problems and optimize the city infrastructure. This paper addresses the relations between travel behavior and land use patterns using a structural equations modeling (SEM) framework. Base on the Shenzhen household travel survey, this paper considers travel behavior data as the endogenous latent variable; travel distance, travel time, and trip times as the endogenous variables; land-use, social economic attributes and household attributes as the exogenous latent variables; land-use entropy, age, income, number of bus stops in the living area, and other factors as the exogenous variables. Taking trips of one person as the analysis object, this paper quantitatively qualified the relationship among these variables. The results showed that social economic characteristics have a greatest influence on the travel behavior, and land-use factors of developed area and developing area have opposite effects on travel behavior.