An Exploratory Study of the Functional and Intangible Factors in Decisions to Use Service Areas Attached to Motorways
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Abstract
The purpose of this study is to model the decision-making of users of service areas (SAs) attached to expressways in Fukui Prefecture and to propose a useful scale for understanding actual usage. The data used in the analysis are the results of a questionnaire survey conducted jointly by Central Nippon Expressway Company Limited (NEXCO Central Japan) and the University of Fukui on users from October 2021 to March 2022. NEXCO Central Japan is a company that manages and operates motorways and expressways in Central Japan. Resting facilities on motorways are often referred to as SAs, and many are operated by the NEXCO Central Japan corporate group.
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Takemoto, T., Tomohiro Honda, Syoma Kiyomitsu, Takuto Takayanagi, Yusuke Tonogaki, Kazuki Yamada, Ryota Yamamoto, Katsunobu Okamoto, & Hirioko Oe. (2022). An Exploratory Study of the Functional and Intangible Factors in Decisions to Use Service Areas Attached to Motorways. Economit Journal: Scientific Journal of Accountancy, Management and Finance, 2(3), 197-204. https://doi.org/10.33258/economit.v2i3.738
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References
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Heijden, J. V. (2015). From mechanism to virtue: evaluating Nudge-theory - Regulatory Institutions Network Australian National University. RegNet Research Papers, 80, 5-14.
Kii, M., Goda, Y., Tamaki, T., & Suzuki, T. (2021). Evaluating Public Transit Reforms for Shrinking and Aging Populations: The Case of Takamatsu, Japan. Future Transportation, 1: 3, 486-504.
Jinbo, H., Anzai, K., Yuki, S., & Nakamura, M. (2014). The Potential of Augmented Reality (AR) Technology for Learning in Museums. Tokyo City University Information Media Journal 2014, 4: 15 17-21.
Kojima, W. & Yanagi, H. (2019). Development of AR Guidance Signs. Information Processing Society of Japan Proceedings 2019, 758-760.
Matsushita, T. Kumagai, K., Nonaka, Y., & Ishida, T. (2011). Basic Analysis on the Selection Factors of Resting Facilities on Expressways, Journal of Civil Engineering and Planning, Proceedings, 44.
Mayahara, A., Akagi, T., & Suzuki, H. (2017). A Study on the Aspects of Resting Behavior at Expressway Service Areas: A Case Study of Elderly People and Families with Children. Transactions of the Architectural Institute of Japan, Planning Series, 82, 1639-1647.
Nakao, N., Yoshida, T., Tango, T., & Hori, S. (2018). A Study on Ranking of Attractiveness Evaluation of Service Area Internal Space by Psychological Experiment and its Factors, Landscape Research (Online Papers), 11. https://www.jstage.jst.go.jp/article/jilaonline/11/0/11_20/_pdf/-char/ja.
Rinova, D. (2022). Analysis of Tourist Attraction and Service Quality on Tourist Satisfaction. International Conference on Sustainable Development Goals (ISCIS), 1: 1, 45-156.
Sasaki, H. (2020). The Effect of Nudges on Purchasing Behavior of Organic Produce -Evidence from an Online Randomized Field Experiment. Research in Environmental Psychology, 8: 1, 1-9.
Shaaban, K., Shakeel, K., Rashidi, T. H., & Kim, I. (2021). Measuring users’ satisfaction of the road network using structural equation modeling. International Journal of Sustainable Transportation, 1-12.
Sirai, N., Kondo, L., Imura, T. (2020). Effects of visual information presented by augmented reality on children’s behavior. Scientific Reports, 10. https://www.nature.com/articles/s41598-020-63820-z.
Taddy, M. (2019). Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions. McGraw-Hill, 127-128.