Winter Sabotage: The Three-Way Interactive Effect of Gender, Age, and Season on Public Bikesharing Usage

Jinyi Zhou, Changyuan Jing, Xiangjun Hong and Tian Wu
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Jinyi Zhou: Department of Business Administration, Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China
Changyuan Jing: International School, Beijing University of Posts and Telecommunications, Beijing 100876, China
Xiangjun Hong: School of Economics and Management, Tsinghua University, Beijing 100084, China
Tian Wu: NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China

Sustainability, 2019, vol. 11, issue 11, 1-14

Abstract: Public bikesharing is an environmentally friendly transportation mode that can remedy the urban “last mile” problem to some extents. Prior studies have investigated many predictors of the public bikesharing usage. For example, researchers find that gender, age, and physical conditions are significantly related to the public bikesharing usage. However, few studies have tested the characteristics of each ride and no integrative theoretical framework has been provided to explain these findings. In the current study, based on the conservation of resource theory, we suggest that the reason why these factors can predict public bikesharing usage is people’s inner needs of resource conservation. Based on this theoretical framework, we propose that: first, gender, age, and season will have direct impacts on public bikesharing usage (i.e., distance and user type); second, gender, age, and season will interactively predict public bikesharing usage as well. A relatively large sample with 1,383,773 rides in 2018 from New York City is used to test our hypotheses. The results indicate that old females indeed use public bicycle less intensively in the winter than young males do in other seasons and thus support the three-way interaction effect. Implications for the emerging public transport systems and limitations of this study are also discussed.

Keywords: public bicycle; emerging public transport systems; mobility; predictor; three-way interaction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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