Abstract
A signage system has been installed in large-scale facilities such as airport passenger terminals and stations in order to make facility users feel good comprehensively. Agent-based models of airport terminals as a typical large-scale facility have been proposed to represent the behavioral characteristics of passengers and the essential features of signs. They, however, are not enough to evaluate signage systems, since models have not described properly pedestrian agents’ characteristics especially including their view to get information from the signs. This paper develops the simulation system that includes the model to represent a relationship between pedestrian agent’s view and its information search behavior. The primary purpose of the simulation system is to support the facility manager’s decision to design the signage system before it is actually implemented. This paper provides some evaluation results focusing on information message and location arrangement, which are part of the essential components.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Akase, T.: Sign System Planning: Public Space and System of Sign. Kajima Institute Publishing (2013)
Foundation for Promoting Personal Mobility and Ecological Transportation: Public Transport Passenger Facility Sign System Guidebook, TAISEI-SHUPPAN CO., LTD. (2002)
Kaneda, T.: Pedestrian Agent Simulation Start with ArtiSoc, Kozo Keikaku Engineering Inc. (2010)
Ministry of Land, Infrastructure, Transport and Tourism, Movement facilitation improvement guideline Regarding Passenger Facilities of Public Transportation (2013). (in Japanese)
Salthouse, T.A., Siedlecki, K.L.: Efficiency of route selection as a function of adult age. Brain Cong. 63, 279–286 (2007)
Sanders, C., Schmitter-Edgecombe, M.: Identifying the nature of impairment in planning ability with normal aging. J. Clin. Exp. Neuropsychol. 34, 724–737 (2012)
Klencklen, G., et al.: What do we know about aging and spatial cognition? Reviews and perspectives. Ageing Res. Rev. 11, 125–135 (2012)
Shinar, D., Schieber, F.: Visual requirements for safety and mobility of older drivers. Hum. Fact.: J. Hum. Fact. Ergon. Soc. 33, 507–519 (1991)
Ohmi, G.: Model Psychology, Fukumura Shuppan Inc. (1984)
Salthouse, T.A., et al.: Executive functioning as a potential mediator of age-related cognitive decline in normal adults. J. Exp. Psychol.: Gener. 132, 566–594 (2003)
Utsumi, S., Takahashi, S., Ohori, K., Anai, H.: Agent-based analysis for design of signage systems in large-scale facilities. In: Proceedings of the 2015 Winter Simulation Conference (2015)
Ohori, K., Yamane, S., Anai, H., Utsumi, S., Takahashi, S.: An agent-based analysis of the effectiveness of signage system in a large-scale facility. In: Social Simulation Conference, vol. 32 (2016)
Fodness, D., Murray, B.: Passengers’ expectations of airport service quality. J. Serv. Mark. 21(7), 492–506 (2007)
Ushiro, M., Ueshima, K.: A basic study on evaluation for passenger usability in the airport terminals. Technical Note of NILIM, No. 313 (2006)
Narita International Airport Official Website: Next Generation Interactive Signage infotouch™ Now in Terminal 1! https://www.naa.jp/jp/20171012-infotouch.pdf. Accessed 7 Jan 2018
NTT DATA: “High precision indoor digital map system” to Narita International Airport. http://www.nttdata.com/jp/ja/news/services_info/2017/2017101201.html. Accessed 7 Jan 2018
NC State University: The Center for Universal Design. https://projects.ncsu.edu/ncsu/design/cud/about_ud/about_ud.htm. Accessed 7 Jan 2018
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Shimada, E., Yamane, S., Ohori, K., Yamada, H., Takahashi, S. (2018). Agent-Based Simulation for Evaluating Signage System in Large Public Facility Focusing on Information Message and Location Arrangement. In: Arai, S., Kojima, K., Mineshima, K., Bekki, D., Satoh, K., Ohta, Y. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2017. Lecture Notes in Computer Science(), vol 10838. Springer, Cham. https://doi.org/10.1007/978-3-319-93794-6_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-93794-6_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93793-9
Online ISBN: 978-3-319-93794-6
eBook Packages: Computer ScienceComputer Science (R0)