Survey and Analysis of Metro Passenger's Dynamic Guidance Information Acceptability
Zhiqiang Wang, Yage Huang
Available Online July 2017.
- https://doi.org/10.2991/iccte-17.2017.59How to use a DOI?
- metro passenger; dynamic guidance information; acceptability; questionnaire survey
- When metro system encounter unforeseen circumstances leads to the system operating abnormally, passengers travel plan's adjustments need to rely on dynamic guidance information to complete, therefore, metro dynamic guidance information's completion degree have significant influence to network passengers' guidance and evacuation under abnormal circumstance. This paper use questionnaire survey method, collect metro passengers evaluation data to common dynamic guidance information, based on the survey result, analyze the availability, clarity and comprehensibility characteristics of dynamic guidance information in various medium, find strengths and weaknesses of various types dynamic information, puts forward its application condition and improvement direction, and combine with the passengers' individual characteristics data, find out the passenger's attributes which influence the information's acceptability. Understand passenger's acceptance preferences, can make dynamic guidance information release plan aim at the passengers' component characteristics, get passengers' organization and evacuation achieve better results, so that promote the passenger service level and strengthen metro system's emergency handling ability.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhiqiang Wang AU - Yage Huang PY - 2017/07 DA - 2017/07 TI - Survey and Analysis of Metro Passenger's Dynamic Guidance Information Acceptability BT - Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017) PB - Atlantis Press SP - 329 EP - 336 SN - 2352-5401 UR - https://doi.org/10.2991/iccte-17.2017.59 DO - https://doi.org/10.2991/iccte-17.2017.59 ID - Wang2017/07 ER -