Analysis and prediction of bus stop loss time under rainfall conditions

Yaping Yang; Baoyun Sun; Lin Ma

doi:10.1117/12.2690108

7 September 2023 Analysis and prediction of bus stop loss time under rainfall conditions

Yaping Yang, Baoyun Sun, Lin Ma

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 1279023 (2023) https://doi.org/10.1117/12.2690108
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

This research investigates the bus stop loss time under different rainfall intensities, discusses its influencing factors and introduces indicators such as the number of passengers getting on and off, the loss time and the total time of getting on and off. The change in the bus loss time is analyzed with daily rainfall intensity and the number of berths as independent variables. It explores whether the loss time differs at different bus stops. Based on Pearson correlation analysis, the regression prediction model of loss time is established by SPSS. The results show that the number of passengers getting on and off differs under different rainfall intensities. Generally, the number of passengers on light and moderate rainy days is more than that on heavy rainy days, and this change is more prominent during the weekend. For the same number of passengers, the bus stop loss time of heavy rain tended to be more than that of light and moderate rain. The bus transit system is affected by the drainage capacity of the bus stop, especially in heavy rain. With the same number of passengers, the total time of getting on and off in heavy rain is usually more than in light and moderate rain

Citation Download Citation

Yaping Yang, Baoyun Sun, and Lin Ma "Analysis and prediction of bus stop loss time under rainfall conditions", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 1279023 (7 September 2023); https://doi.org/10.1117/12.2690108

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