This paper reports the development of the service named “Konjyaku map distributing and browsing service on old topographic map tile images”. This service consists of the following three services. Firstly, we develop a web service to distribute tiled map images of old topographic maps as TMS. Secondly, we develop a web site to browse these tiled map images on the PC web browser or smartphone using Google Maps API. Thirdly, we develop a software working on Windows PC to browse these tiled map images with rich functions. By providing these services integrally, it is possible to provide an opportunity to view old topographic maps in a wide range of users.
This study aims to investigate the association between individual travel behaviors, neighborhood built environment, and social area type based on a geodemographics dataset. Neighborhood environment includes population density, land use mixture, road density, service level of public transportation, destination accessibility, and topography. By using person trip survey data for Kyoto Prefecture residents in 2010, the results of multilevel logistic analysis showed that social area type can explain the variations of travel mode choice for commuting behavior―particularly the use of public transportation and vehicle, even after controlling for neighborhood environment and individual characteristics such as gender, age, occupation, and household vehicle ownership. On the other hand, there was little evidence of association between mode choice for shopping and social area type.
Flood management is one of the most urgent problems in Southeast Asia. In this research, land use projection by GIS and statistical model, rainfall-runoff model and hydraulic model were integrated to analyze the impact of future urbanization and deforestation on flood vulnerability in a local scale. Based on land use scenarios, flood simulation was conducted. The results show that urbanization, deforestation and development of croplands will actually increase peak discharge during flood while reforestation will reduce it. Furthermore, the difference between the worst and best scenarios was estimated as 3.68km2 in inundated area and approximately 0.5m in flood depth in the study area. This result shows maximum difference in uncertain future. This integrated scheme would support land development plan or policy from the viewpoint of disaster risk reduction.
Geographical crime prediction have been the focus of much research in western countries over the past decade and crime prediction systems are already in use several countries including Japan where a prefectural police department have recently introduced a certain system. However there has been no prior research into this field in Japan. This paper presents a systematic review of geographical crime prediction and discusses their relevance to the Japanese context. We identify four categories of geographical crime prediction methods: (1) surveillance of space-time clusters of crime; (2) estimation of crime intensity based on space-time interaction; (3) prediction of crime risk based on environmental factors; and (4) prediction of crime numbers/possibilities. These categories are based on established theories and have been developed independently of each other. Finally, we suggest directions for future developments of this research field in Japan.