Bayesian Network Analysis for the Questionnaire Investigation on the Needs at Fuji Shopping Street Town under the View Point of Service Engineering
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 5
Abstract
Shopping streets at local city in Japan became old and are generally declining. In this paper, the area rebirth and/or regional revitalization of shopping street are handled. Fuji city in Japan is focused. Four big festivals are held at Fuji city (two for Fuji Shopping Street Town and two for Yoshiwara Shopping Street Town). Many people visit these festivals including residents in that area. Therefore a questionnaire investigation to the residents and visitors is conducted during these periods in order to clarify residents and visitors’ needs for the shopping street, and utilize them to the plan building of the area rebirth and/or regional revitalization of shopping street. There is a big difference between Fuji Shopping Street Town and Yoshiwara Shopping Street Town. Therefore Fuji Shopping Street Town is focused in this paper. These are analyzed by using Bayesian Network. These are analyzed by sensitivity analysis and odds ratio is calculated to the results of sensitivity analysis in order to obtain much clearer results. The analysis utilizing Bayesian Network enabled us to visualize the causal relationship among items. Furthermore, sensitivity analysis brought us estimating and predicting the prospective visitors. Sensitivity analysis is performed by back propagation method. These are utilized for constructing a much more effective and useful plan building. Fruitful results are obtained. To confirm the findings by utilizing the new consecutive visiting records would be the future works to be investigated.
Authors and Affiliations
Tsuyoshi Aburai, Akane Okubo, Daisuke Suzuki, Kazuhiro Takeyasu
Keywords
Related Articles
- EP ID EP578993
- DOI 10.14569/IJACSA.2019.0100573
- Views 94
- Downloads 0
An Agent-based Simulation for Studying Air Pollution from Traffic in Urban Areas: The Case of Hanoi City
In urban areas, traffic is one of the main causes of air pollution. Establishing an effective solution to raise public awareness of this phenomenon could help to significantly reduce the level of pollution in urban areas...
Impact of Web 2.0 on Digital Divide in AJ&K Pakistan
Digital divide is normally measured in terms of gap between those who can efficiently use new technological tools, such as internet, and those who cannot. It was also hypothesized that web 2.0 tools motivate people to us...
Dynamic Matrix Control DMC using the Tuning Procedure based on First Order Plus Dead Time for Infant-Incubator
The concept of Model Predictive Control (MPC) is considered as one of the most important controlling strategies. It is used in several fields, such as petrochemical, oil refinery, fertilizer and chemical plants. It is al...
TPACK Adaptation among Faculty Members of Education and ICT Departments in University of Sindh, Pakistan
Technological Pedagogical Content Knowledge (TPACK) framework has been to investigate the technological and instructive knowledge of teachers. Many researchers have found this framework a useful tool to explore teachers’...
Real-Time Intelligent Parking Entrance Management
To help improve the situation of urban transport in the city of Casablanca, we have studied and set up a smart parking system. In this paper, we evaluate the management of the parking entrance utilising artificial intell...