Purpose The purpose of this paper is to develop a method for diagramming a base camp or space for emergency workers and a staging area to be used during sorting, storing, loading, and unloading of relief goods in a humanitarian logistics base airport. Design/methodology/approach A method is developed based on a synthesis of the relevant literature and current practices of airports. This provides a means for estimating the area required for each facility and visualizes the layout of the base through an adjacency diagram and a bubble diagram. The method is applied to the Shizuoka Airport in Japan as a case study. Findings The proposed method can be used to determine the approximate size and layout of a humanitarian logistics base in an airport based on the affected population and the number of emergency workers. Research limitations/implications Airport operation regulations and mathematical models from architectural planning need to be reflected further. Practical implications The method provides potential operational improvements for policies and standards for airport operations and enables government officials and humanitarian logistics organizations to identify concerns in facilitating and managing constraints in existing airports. Originality/value This study addresses the detailed phases in a diagramming for a humanitarian logistics base airport by integrating an architectural approach and airport disaster management. The results highlight the importance of managing the flexible use of space to improve effective humanitarian logistics.

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In tourism accommodation statistics, accuracy (variance and bias) is fundamental. However, minimizing both the variance and bias of the estimate is a challenge due to the trade-off between the two. In many countries, tourism accommodation statistics, which popularly developed with the unbiased linear estimator, are less accurate. This study recommends an integration of bootstrap and regression to overcome the challenge. An unbiased linear estimator is used as a benchmark to investigate the integration method's effectiveness. With realistic accommodation data in Japan, we found that the integration method yields more than two times more accurate results than the unbiased linear estimator. The integration method contributes to an innovation in accommodation statistics in tourism.

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