New seasonal measurement with stability and clustering seasonal patterns: A case study in Japan from 2011 to 2019

Ogasawara, Yu

doi:10.1371/journal.pone.0267453

Cited by 5 publications

(3 citation statements)

References 35 publications

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“…The analysis used in this step is similar to those performed by [97][98][99][100], who used cluster analysis to minimize within-group variation and maximize between-group variation.…”

Section: Multivariate Analysismentioning

confidence: 99%

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The Contribution of Green Marketing in the Development of a Sustainable Destination through Advanced Clustering Methods

Gheorghe,

Tudorache,

Roşca

2023

Sustainability

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Against the backdrop of increasing concern for the environment, tourism activities have had a mixed impact. For example, in the field of marketing communications, the last few years have seen many companies promoting “green” tourism. In this context, this article aims to identify the group(s) focused on green tourism or sustainable development in order to predict their future trends. To achieve this objective, quantitative research was conducted based on an online survey distributed through social media. Several objectives were considered in the research, focusing on the behavior of the respondents, the decisive elements in choosing a destination, the analysis of socio-demographic characteristics, and the identification of groups oriented to the practice of green tourism. Univariate analysis was applied to the collected data (to identify the most appropriate variables for clustering) and multivariate analysis (using three types of methods: Ward, Centroid, and Two-Step Cluster). The following results emerged from the research analysis: characteristics of each segment in relation to question nine and profiles of all segments, of which the most representative (two, five, and six) stand out. The segments extracted with Ward’s method were created by the authors to highlight the most important characteristics: Smilers, Ecologists, Villagers, Relaxed, Luxury, Ecotourists, and Jobless. The research results contribute to a deeper understanding of Romanian customers’ needs when choosing a green destination, but also support the business community by providing economic actors with access to data to segment their solutions and services offered to customers, as well as the possibility to develop tailored products/services. The study represents a new approach to tourism and ‘green marketing’ in Romania by being the only one that shows to interested parties the seven specific consumer segments for the green tourism market in Romania, one that approaches the two fields in close connection. The results represent a significant theoretical advance for travel and tourism studies and provide valuable insights into the green tourism sector.

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“…The analysis used in this step is similar to those performed by [97][98][99][100], who used cluster analysis to minimize within-group variation and maximize between-group variation.…”

Section: Multivariate Analysismentioning

confidence: 99%

“…From the current research and the analysis of [100], the authors specified characteristics and names were given for each segment related to question nine. Thus, the characteristics of each segment were highlighted.…”

Section: H8mentioning

confidence: 99%

The Contribution of Green Marketing in the Development of a Sustainable Destination through Advanced Clustering Methods

Gheorghe,

Tudorache,

Roşca

2023

Sustainability

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“…A graphical analysis was performed to verify the results. This simple method intuitively captures peaks, valleys, and patterns in a line graph of time-series data [Ogasawara 2022]. The estimated number of vacancies was used to confirm the pattern of fluctuation and consistency with the number of vacancies in official statistics (hereafter, official number of vacancies).…”

Section: Verification Of Estimationmentioning

confidence: 99%

Estimation of accommodation performance by region using data from online travel agencies

Suzuki

2023

JGTR

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This study identified the lack of data available to destination marketing organizations and other organizations in Japan. To enable strategic planning based on an immediate and detailed understanding of the situation, data beyond official statistics are required. Therefore, this study focused on plan data from online travel agencies. As online travel agency websites can be accessed free of charge, they can provide data, such as vacancies and plan types. This study proposed a methodology for estimating the number of vacancies at accommodations in Japan based on plan information. Accuracy was verified using graphical, autocorrelation, and regression analyses. The results indicated that the estimation was accurate. In addition, the estimated number of vacancies could predict accommodation performance in various regions. A comparison of the methods revealed that if the number of vacancies is unknown, using the number of rooms in a facility improves estimation accuracy. However, this method requires significant preliminary work compared to the method that assigns a constant. Therefore, analysts should select appropriate methods based on the aims.

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Rental car reservation patterns in island tourism: Case study in Shodoshima, Japan

Ogasawara,

Tamaki,

Suzuki

et al. 2024

Journal of Vacation Marketing

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The tourism industry plays a pivotal role in the local economies of island communities and offers many attractive activities for tourists. As public transportation tends to be less developed in such island regions, one of the main modes of transportation is rental cars. The supply of rental cars is limited, and tourism demand tends to be seasonal in the island regions. In addition, there is a possibility that some customers may not use rental cars regardless of the price, and others may not make reservations if it is the season when rental cars can be rented without reservations. Therefore, car rental companies need to develop products that match the demand situation, such as peak season and off-season, and tourist characteristics during the seasons to improve profitability. However, little attention has been paid in the academic community to seasonal changes in customers’ car rental reservation behavior in islands. This study investigated the changes in customers’ rental car reservation behavior during the peak and off-peak seasons on Shodoshima Island, Japan, using a questionnaire survey. The results indicated that there are three factors that affect reservation behavior and that there are four patterns of reservation changes depending on the combination of these factors. By comparing the characteristics of segmented groups with different patterns of reservation change, it is suggested that a dynamic change in rental car reservation behavior occurs around retirement age in Japan. The results of this study provide insights into product development to improve the profitability of the tourism industry in island regions.

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New seasonal measurement with stability and clustering seasonal patterns: A case study in Japan from 2011 to 2019

Cited by 5 publications

References 35 publications

The Contribution of Green Marketing in the Development of a Sustainable Destination through Advanced Clustering Methods

The Contribution of Green Marketing in the Development of a Sustainable Destination through Advanced Clustering Methods

Estimation of accommodation performance by region using data from online travel agencies

Rental car reservation patterns in island tourism: Case study in Shodoshima, Japan

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