Passenger Position Selection and Spatial Data Analysis Based on Spatial Perception

DOI

10.2991/978-94-6239-737-8_75How to use a DOI?

Keywords

spatial behavior research; data analysis; ergonomics; subway carriage; spatial perception

Abstract

To address passenger crowding and uneven spatial utilization in metro carriages during peak hours, this study investigates B-type metro carriages and examines passenger location choice behavior from a spatial perception perspective. Based on spatial perception theory and ergonomics, a “spatial perception–behavioral response–spatial competition” framework is proposed. Questionnaire surveys and SPSS statistical analysis were used to evaluate passengers’ perceptions of efficiency, comfort, and safety across different carriage areas. The results indicate that passenger location choice exhibits significant spatial clustering. Door-adjacent areas show an efficiency-oriented tendency, whereas middle-carriage areas demonstrate higher comfort and safety perception. Spatial facility configuration, handrail arrangement, and buffer space significantly affect regional preference, among which comfort perception is the most influential factor. The findings suggest that passenger location choice is essentially a dynamic trade-off among efficiency, comfort, and safety under limited spatial resources. The findings may provide empirical support for future human-centered metro carriage design and spatial optimization in high-density urban rail transit systems.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jiaxin Sun
AU  - Dan Wang
PY  - 2026
DA  - 2026/08/18
TI  - Passenger Position Selection and Spatial Data Analysis Based on Spatial Perception
BT  - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)
PB  - Atlantis Press
SP  - 639
EP  - 645
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-737-8_75
DO  - 10.2991/978-94-6239-737-8_75
ID  - Sun2026
ER  -