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- W4387251121 abstract "As the development of urban rail transit moves towards the stage of networked operation, the factors which affect path selection of passengers in emergency situations are becoming an important focus of research. For revealing the laws of passengers path selection under urban rail transit emergencies, a semi-compensated multinominal logit (MNL) model is proposed to analyze the impact factors of path selection of passengers. The main factors affecting passengers’ path selection are confirmed depending on three aspects including individual attributes of passengers, travel characteristics, and rail transit service level, and sensitivity analysis is conducted to explore passengers path selection behavior. The experimental results show that the individual attributes, travel characteristics, and rail transit service level of passengers have a significant impact on their path selection. Commuters are more willing to choose a travel plan with more transfer times but shorter travel time. For leisure travelers, they are more willing to choose a travel plan with fewer transfers but relatively longer travel time. The research results can provide theoretically and practically scientific basis for predicting passenger flow under emergencies." @default.
- W4387251121 created "2023-10-03" @default.
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- W4387251121 date "2023-08-12" @default.
- W4387251121 modified "2023-10-06" @default.
- W4387251121 title "Impact Factors Analysis on Path Selection of Passengers in Urban Rail Transit Emergencies" @default.
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- W4387251121 doi "https://doi.org/10.1109/ccis59572.2023.10263025" @default.
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