Mining passenger-seeking road patterns of high-occupancy taxis based on cross-tabulation analysis

Huan Xiong; Dan Zhou; Shiyu Wang; Xiaolu Feng; Guobin Gu; Benxiao Lou

doi:10.1117/12.3031123

19 July 2024 Mining passenger-seeking road patterns of high-occupancy taxis based on cross-tabulation analysis

Huan Xiong, Dan Zhou, Shiyu Wang, Xiaolu Feng, Guobin Gu, Benxiao Lou

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 131811C (2024) https://doi.org/10.1117/12.3031123
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

In order to explore the characteristics of choosing passenger-seeking roads in the taxi passenger-seeking process and improve the operational efficiency of taxis, this paper proposes a method of mining the passenger-seeking road laws of high-occupancy taxis based on cross-tabulation analysis. The representative city of Chengdu is selected as the research area, and the stable taxi operation data in Chengdu is used as the research basis. Using the cross-tabulation analysis method, the correlation analysis between the number of passengers and the factors of road hotspot and road class is carried out in the form of Sankey diagrams, and it is found that the number of passengers is strongly correlated with the attraction of hotspot. In contrast, the correlation with the attraction of road class is weaker. We summarise the road selection rules for high occupancy taxis, such as "pay attention to road sections with many road hotspots," "pay attention to bus stop areas," and "pay attention to roads around primary roads," which are of strong practicality and reference value. It has strong practicality and reference value.

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

Citation Download Citation

Huan Xiong, Dan Zhou, Shiyu Wang, Xiaolu Feng, Guobin Gu, and Benxiao Lou "Mining passenger-seeking road patterns of high-occupancy taxis based on cross-tabulation analysis", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131811C (19 July 2024); https://doi.org/10.1117/12.3031123

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