著者
Jung-Eun LEE Yukio SADAHIRO
出版者
The Association of Japanese Geographers
雑誌
地理学評論 (ISSN:13479555)
巻号頁・発行日
vol.79, no.5, pp.237-250, 2006-04-01 (Released:2008-12-25)
参考文献数
18
被引用文献数
1

The availability of data set itself and the method of handling the data set are essential factors to achieve effective decision making in retail marketing, especially for small privately managed retail stores. In the field of retail and marketing geography, attractiveness of a store is analyzed with questionnaire survey and logit model in general. However, the problem is that huge cost is required for the process, which becomes more difficult under a micro scale retail environment. Considering the fact that small retail stores often have their own purchase history data of customers, the cost is reduced if an effective method exists that is applicable using purchase history data only. Hence, the purpose of this paper is focused on evaluating and detecting competitors of a small retail store, with limited data availability, to understand the status of its market area from the geographical aspect by clarifying where its own strong competitors are located. The method uses a probabilistic store choice model, which is usually estimated from the data of consumers' store choice behavior collected by a questionnaire survey. Instead of such detailed but costly data, this paper uses actual sales data of the target store to estimate the model. The method is applied to simulated choice behavior, then, to actual data based on the findings understood from the simulated choice behavior analysis. Results show that the method effectively detects strong competitors of a store. Furthermore, the result may provide a guideline for the store to establish an effective marketing strategy.
著者
Yukio SADAHIRO
出版者
The Association of Japanese Geographers
雑誌
Geographical review of Japan, Series B (ISSN:02896001)
巻号頁・発行日
vol.73, no.1, pp.85-90, 2000-06-30 (Released:2008-12-25)
参考文献数
11

This paper analyzes the accuracy of count data transferred through the areal weighting interpolation with respect to the geometrical properties of zonal systems used for aggregating spatial data. A stochastic model is employed to measure the estimation error caused in data transfer between incompatible zonal systems. The relationship between estimation error and the geometrical properties of zones is approximately represented in analytical forms. The major results are as follows: 1) the perimeter of the target zone and the area and perimeter of the source zones are crucial to the accuracy of the areal weighting interpolation; 2) estimation error increases in proportion to the square root of the perimeter of the target zone; 3) concerning the lattice system, estimation error is proportional to the square root of the perimeter and the biquadratic root of the area of the cell, and inversely proportional to the biquadratic root of the number of cells; 4) the hexagonal lattice yields the most accurate estimates among all lattices.