The Research of Wayfinding in the 3D Underground Space of Taipei Main Station
| Autor: | Chia-Wen Wu, 吳嘉雯 |
|---|---|
| Rok vydání: | 2009 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 97 Taipei Main Station as an underground interchanged and complex station. These systems share the same space with each other in multi-transportational station and even with some commerce activities. Besides, due to the lack of external visual contact, people in the underground space always have wayfinding problems. However, in the particularly spatial construction users are easily confused with wayfinding. Therefore, this research hopes people who could find their way more smoothly and quickly through drawing Taipei Main Station underground 3D map in addition to the original sign system of Taipei Main Station. This research has two goals: First, investigate the reasons why cause wayfinding difficulties and where easily get lost in Taipei Main Station through the fisrt questionnaire survey; Second, according to the wayfinding task, realize the features of space which easily get wayfinding difficulties, the problems of sign system of Taipei Main Station, and the effects of Taipei Main Station underground 3D map to wayfinders. The participants of wayfing tasks are the users of Taipei Main Station, they are divided into four groups, according to the frequencies of going to Taipei Main Station and using 3D map or not. During the wayfinding task, it will record every participant’s routes, duration and behaviors. After the wayfinding task, they do the second questionnaire in order to realize the difference factors (frequency and the 3D map) how to influence their wayfinding performances. The results show that areas are easily getting lost are exits, choice points, directional changes and the joint area of different functions. Besides, the area which setting the insufficient informatiom of sign system is another wayfing problems. The participants who use the map show better performances on the wayfinding task and more accurate spatial knowledge. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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