Abstract
The congestion in metro cars not only reduces the commuting experience of passengers during the transportation process but also poses a threat to passenger safety. The purpose of this study is to explore a way to even out the distribution of passengers in the carriage. First, we determined the mechanism of passenger distribution and the typical layout of carriages through real train statistics and a questionnaire survey, and obtained the unitized space of seven types of typical carriage interior layouts in four regions; based on this, we introduced the concept of spatial attractiveness, defined the calculation method of the attractiveness of each facility, determined the prediction model parameters, and derived the prediction model method that can calculate the distribution of passengers in trains. Based on the validation, the prediction model can fit the corresponding real train statistics within 0.06 error. We used this method to redesign the interior layout of a particular carriage, and after the optimized interior design solution was applied, the distribution results of the real train statistics indicated a more homogeneous distribution of passengers. The findings of this study provide an algorithm that can quantitatively calculate the distribution of passengers in the carriage, which can provide assistance in the design of the carriage interior layout, help promote the uniform distribution of passengers in the carriage, improve the user's riding experience in the public space of the carriage, and provide a methodological model for designing interventions in the travel experience of urban rail trains.
Keywords
Commuting experience, cabin congestion, design interventions, interior design
DOI
https://doi.org/10.21606/iasdr.2023.548
Citation
Ji, P., Wen, Y.,and Zhou, L.(2023) Metro interior design to reduce the occurrence of metro congestion, in De Sainz Molestina, D., Galluzzo, L., Rizzo, F., Spallazzo, D. (eds.), IASDR 2023: Life-Changing Design, 9-13 October, Milan, Italy. https://doi.org/10.21606/iasdr.2023.548
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
fullpapers
Included in
Metro interior design to reduce the occurrence of metro congestion
The congestion in metro cars not only reduces the commuting experience of passengers during the transportation process but also poses a threat to passenger safety. The purpose of this study is to explore a way to even out the distribution of passengers in the carriage. First, we determined the mechanism of passenger distribution and the typical layout of carriages through real train statistics and a questionnaire survey, and obtained the unitized space of seven types of typical carriage interior layouts in four regions; based on this, we introduced the concept of spatial attractiveness, defined the calculation method of the attractiveness of each facility, determined the prediction model parameters, and derived the prediction model method that can calculate the distribution of passengers in trains. Based on the validation, the prediction model can fit the corresponding real train statistics within 0.06 error. We used this method to redesign the interior layout of a particular carriage, and after the optimized interior design solution was applied, the distribution results of the real train statistics indicated a more homogeneous distribution of passengers. The findings of this study provide an algorithm that can quantitatively calculate the distribution of passengers in the carriage, which can provide assistance in the design of the carriage interior layout, help promote the uniform distribution of passengers in the carriage, improve the user's riding experience in the public space of the carriage, and provide a methodological model for designing interventions in the travel experience of urban rail trains.