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23 November 2022 Analysis of influencing factors of users' choice of online car-hailing and taxi
Luqiang Cheng, Xingguang Chen, Jinxuan Zhang
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Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 123022V (2022) https://doi.org/10.1117/12.2645636
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China
Abstract
Online car-hailing and taxi, as two typical modes of non-public transportation in the urban passenger transport market, are showing an increasingly obvious competitive situation. In order to accurately understand the selection characteristics and preferences of online car-hailing and taxi users, this paper analyzes the results of the RP questionnaire based on SPSS analysis software. For the two travel modes, correlation analysis is carried out between user attributes, service evaluation and order attributes, and cross-analysis is carried out on user attributes and usage characteristics. Finally, compare the differences in user selection characteristics of the two travel modes. The analysis results show that users have obvious differences in characteristics and preferences under these two travel modes. For example, female users use more aggregation platforms, while male users gradually increase their use of aggregation platforms as they age. They prefer to choose taxis for short-distance travel, and online car-hailing for long-distance travel. The research results can provide valuable reference for the relevant government departments to formulate more reasonable traffic travel management policies.
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Luqiang Cheng, Xingguang Chen, and Jinxuan Zhang "Analysis of influencing factors of users' choice of online car-hailing and taxi", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 123022V (23 November 2022); https://doi.org/10.1117/12.2645636
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KEYWORDS
Analytical research
Statistical analysis
Factor analysis
Carbon
Social networks
Data analysis
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