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Empirical analysis and comparisons about time-allocation patterns across segments based on mode-specific preferences

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Abstract

A three-stage approach, i.e., factor-cluster-multi-group Structural Equation Modeling (SEM), is designed to explore the commonalities and diversities with respect to relationships between socio-demographic characteristics and time-use patterns across different segments. Factor-cluster analysis is conducted to extract meaningful factors from attitudinal statements, and then group the sample population into three segments, each with a unique combination of mode preferences for public transit, private car, and motorcycle. By virtue of multi-group SEM, the relationships between socio-demographics and time allocated to activities and travel are found to be significantly different across segments. This study highlights the importance of latent psychological factors in segmentation. For policy implication, specific population with unique psychological features must be targeted in order to efficiently and effectively design and implement transport measures.

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Acknowledgments

This research is sponsored by the National Natural Science Foundation of China (No. 51278301) and the Shanghai Foundation of Soft Science for Development of Science and Technology, China (No. 13692107700). The authors would like to express their appreciation to anyone who has provided suggestions and comments on this paper.

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  1. Antai College of Economics & Management, Shanghai Jiao Tong University, Room 202 South Building, No. 535 Fahuazhen Road, Changning District, Shanghai, China

    Xuemei Fu & Zhicai Juan

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  1. Xuemei Fu
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  2. Zhicai Juan
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Correspondence to Xuemei Fu.

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Fu, X., Juan, Z. Empirical analysis and comparisons about time-allocation patterns across segments based on mode-specific preferences. Transportation 43, 37–51 (2016). https://doi.org/10.1007/s11116-014-9561-2

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