After the Kumamoto earthquake, the government implemented a temporary subsidy system “Fukkouwari” for tourists to reduce damage by harmful rumors. It has been reported that many travelers used it, but the effect of “Fukkouwari” is not evaluated quantitatively. Hence, this study analyzed the impact of restoration measures “Fukkouwari” to recovery process of tourism industry using “Travel and Staying Statistics” in each prefecture of Kyushu region. As a result, Kumamoto prefecture showed less increase in tourists than Oita prefecture, although Kumamoto and Oita prefectures had the same subsidy rate. Effect of subsidy system to the recovery process had been seemingly affected by the damage of sightseeing resources, accommodation facilities, road networks, etc. In addition, the areas other than Kumamoto and Oita prefectures did not have enough effect to significantly alter the recovery trend. The results of analysis provided useful information to improve design of subsidy system such as budget scale, target district, discount rate, and discount period.
Through appropriate maintenance work, railway track irregularities must be kept at a satisfactory level in terms of train derailment accident risk. Therefore, we have developed an optimal decision making model for setting upper bound for the irregularities, track inspection period and tamping work schedules in accordance with the magnitude of the risk. In order to determine them, the model was developed based on the result of statistical model analyses in consideration of the influence of the accident and the probability of the accidents caused by track irregularities. Using the model, we can obtain an optimal track maintenance policy and schedule in consideration of the risk.
Population movement is mainly attributable to advancement to university and employment. University involvement in both has been regarded as an important factor. Nevertheless, no population movement analysis conducted on an individual university basis has been reported. By particularly examining hometowns of enrolled students and places of employment for graduates from individual universities, we analyzed migration among districts. Results revealed the following: (1) differences exist among regions in terms of population inflow and outflow; (2) Tokyo's many universities cause a population inflow. Results suggest the difficulty of rectifying population overconcentration in Tokyo merely by limiting the increase of university admission quotas.
The decline of commercial districts rooted in a region has occurred in many cities throughout Japan because of suburbanization, activation of online shopping, etc. Some specialty shop streets, such as Akihabara, operate with wide area attractiveness by handling specialized products. This study was conducted to gain information related to future policies to maintain commercial districts by clarifying their economic realities with the distribution of specialty shopping streets nationwide. Results demonstrate the feasibility of using the proposed method of identifying specialty shop streets using commercial data and phonebook data. Furthermore, results of analyses revealed that the rate of decrease in annual commodity sales amount in specialty shop streets is higher than that throughout commercial accumulation areas.