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College Students’ Shared Bicycle Use Behavior Based on the NL Model and Factor Analysis

Author

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  • Shuhong Ma

    (School of Highway, Chang’an University, Xi’an 710000, China)

  • Yechao Zhou

    (School of Highway, Chang’an University, Xi’an 710000, China)

  • Zhoulin Yu

    (Jiangshan City Transportation Bureau, Quzhou 324000, China)

  • Yan Zhang

    (School of Highway, Chang’an University, Xi’an 710000, China)

Abstract

The rise and rapid development of bicycle sharing brings great convenience to residents’ travel and transfer, and also has a profound impact on the travel structure of cities. As college students make up a major share of shared bicycle users, it is necessary to analyze the factors that influence their travel mode and riding frequency choice and to explore how these factors affect their riding behavior. To analyze the bicycle riding characteristics of college students, this paper processes many factors with unknown correlations by using a factor analysis method based on revealed preference (RP) questionnaire data. Then, taking the significant common factors as explanatory variables, a two-layer nested logit (NL) model combining riding frequency and travel mode is established to study college students’ riding behavior. The results suggest that the comprehensive hit rate of the upper and lower levels of the model (riding frequency and travel mode) are, respectively, 76.8% and 83.7%, and the two-layer NL model is applicable. It is also shown that environmental factors (“cheap,” “mixed traffic,” “signal lights at intersection,” and so on) have a significant impact on the choice of travel mode and riding frequency. Also, improving the level of bicycle service can increase the shift from walking to riding. Such findings are meaningful for policy-makers, planners, and others in formulating operational management strategies and policies.

Suggested Citation

  • Shuhong Ma & Yechao Zhou & Zhoulin Yu & Yan Zhang, 2019. "College Students’ Shared Bicycle Use Behavior Based on the NL Model and Factor Analysis," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4538-:d:259605
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    References listed on IDEAS

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    Cited by:

    1. Guangnian Xiao & Zihao Wang, 2020. "Empirical Study on Bikesharing Brand Selection in China in the Post-Sharing Era," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    2. Zhenzhen Xu & Chunfu Shao & Shengyou Wang & Chunjiao Dong, 2020. "Analysis and Prediction Model of Resident Travel Satisfaction," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    3. Jun Li & Jiachao Shen & Bicen Jia, 2021. "Exploring Intention to Use Shared Electric Bicycles by the Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 13(8), pages 1-13, April.
    4. Shuo Zhang & Li Chen & Yingzi Li, 2021. "Shared Bicycle Distribution Connected to Subway Line Considering Citizens’ Morning Peak Social Characteristics for Urban Low-Carbon Development," Sustainability, MDPI, vol. 13(16), pages 1-19, August.

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