Abstract
Based on the basic theory and methods of disaggregate choice model, the influencing factors in travel mode choice for migrant workers are analyzed, according to 1366 data samples of Xi’an migrant workers. Walking, bus, subway, and taxi are taken as the alternative parts of travel modes for migrant workers, and a multinomial logit (MNL) model of travel mode for migrant workers is set up. The validity of the model is verified by the hit rate, and the hit rates of four travel modes are all greater than 80%. Finally, the influence of different factors affecting the choice of travel mode is analyzed in detail, and the inelasticity of each factor is analyzed with the elasticity theory. Influencing factors such as age, education level, and monthly gross income have significant impact on travel choice mode for migrant workers. The elasticity values of education degree are greater than 1, indicating that it on the travel mode choice is of elasticity, while the elasticity values of gender, industry distribution, and travel purpose are less than 1, indicating that these factors on travel mode choice are of inelasticity.
Highlights
Migrant workers refer to the people who came from the countryside, who used to be farmers, but work in cities
The validity of the model is verified by the hit rate, and the hit rates of four travel modes are all greater than 80%
The multinomial logit (MNL) model could be verified by hit rate (HitR), which refers to the fit between the actual choice result of travel mode and the predicted choice result of that obtained by using the model
Summary
Migrant workers refer to the people who came from the countryside, who used to be farmers, but work in cities They are mainly distributed in construction industry, manufacturing industry, accommodation industry, and so forth and are a special labor group in the process of industrialization and urbanization in China. Discrete Dynamics in Nature and Society based on individual activities and travel plans to predict urban passenger travel, combined with the 1991 Boston travel survey data as an example, and the result shows that the expected maximum utility affects travelers on travel mode choice [7]. Since the attention and studies on migrant workers of researchers are not enough, there is a lack of modeling and analysis of their travel mode choice in urban traffic planning. The current studies focusing on travel mode choice of migrant workers in Xi’an will provide a reference and theoretical guidance for formulation of rational transport policy
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