Analysis on influencing factors of taxi driver's decision based on cluster analysis and analytic hierarchy process

Likai Dong; Yuling Fan

doi:10.1117/12.3031055

19 July 2024 Analysis on influencing factors of taxi driver's decision based on cluster analysis and analytic hierarchy process

Likai Dong, Yuling Fan

Author Affiliations +

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 131814P (2024) https://doi.org/10.1117/12.3031055
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

In this paper, eight factors affecting taxi drivers' decision-making are divided into two categories by cluster analysis: first, factors affecting drivers' waiting time; The second factor is the one that affects the driver’s income. Secondly, this paper uses AHP to establish a hierarchical structure model for analyzing the influencing factors. A large amount of data from Shanghai Pudong Airport and its urban taxis is used to modify the model. In this paper, four factors that are suitable for evaluating taxi drivers' decision-making are finally obtained, including the number of cars queuing, the number of people queuing, the weather, the time slot and the dependent factors that affect drivers' decision-making.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Likai Dong and Yuling Fan "Analysis on influencing factors of taxi driver's decision based on cluster analysis and analytic hierarchy process", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131814P (19 July 2024); https://doi.org/10.1117/12.3031055

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