We considered the specification of temporal geospatial information, and produced a temporal geospatial dataset of the area close to Kenkyu-Gakuen Station of the Tsukuba Express in Tsukuba City. Using geospatial data of each year generated from the temporal geospatial dataset, we conducted a temporal spatial analysis of human impacts such as the development of a new traffic network and land surface change such as land use. Effective temporal spatial analysis is possible using a temporal geospatial dataset if the dataset is revised with high temporal resolution.

This paper aims to analyze an appropriate operation for the local public transport such as community bus and demand responsive transit (DRT) having been or being operated by Joso city, Ibaraki prefecture. Detailed operation data of DRT including service routes, operation time, geographic pick-up and drop points of travels are used. Our analysis focuses on service level of users, service distance, carbon dioxide emission and fuel consumption calculated from GPS-based log data. By simulating comparison between community bus and DRT, and the effect of changes in operation parameters, for instance, the number/size of vehicles, we discuss whether the operation of local public transport is appropriate.

In recent years, there has been a growing interest in field museums, which has led to local communities rediscovering their cultural identity, history, and ecology. However, a field museum guide system has not been researched extensively. The purpose of this study is to develop a field museum guide system by smartphone using digitalized old maps and old photographs. An evaluation of the prototype by users yielded roughly satisfactory results. As a result, we clarified the following design features of the guide system. Based on the following designs, we have developed a guide system in Field Museum of Morioka. The guide system has four functions: push-type information providing using GPS, use of old map/photograph, story-based navigation and cooperation among on-site mobile applications and Websites to visitors before/after the visit. And, the system was evaluated by viewpoint of the visitor and operator groups of the field museum. As a result, it was evaluated that the system is useful for town walking.

Server Ping Map, a system to monitor reply from public internet servers and to map the monitoring results on the Digital Japan Map System, was developed in order to detect unusual situation. A method to select position-known servers is also proposed. Therefor we can graphically grasp unusual locations. When we estimate earthquake damaged area, the estimation will be wrong, if (1) communication lines through the damaged area are physically destroyed, (2) traffic in non-damaged areas is selectively congested, or (3) servers in non-damaged area are suffered by power failure which caused by accident(s) in damaged are far from the servers.

Since 2007, East Japan Railway Company has been selling sets of an IC transit card called “Suica” and discounted tickets for an airport shuttle N'EX (Narita Express) to foreign tourists coming to Japan. In this paper, we use the transit data of Suica & N'EX to investigate the behavior of inbound tourists in the Tokyo Metropolitan Area. From our sequence alignment analysis, the movement of inbound tourists has been identified as two patterns: (1) spending longtime in one area, and (2) being around multiple areas. In addition, a list of stations where tourists frequently mistakenly enter has been extracted. Furthermore, we compared the actual length of time between stations with the expected travel time when using the shortest path and identified several routes where tourists tended to take unnecessary detours.

We study a frequency of passing through the global choke points, that is, a dependence on the choke points by means of the sea lane network and the LMIU's vessel movement database. The choke points such as the Straits of Malacca, the Bosphorus Straits, and the Suez Canal are important sea lanes for the maritime transport of energy resource. It is, therefore, necessary to reduce the dependence on the choke points for the transport energy security. We show the effect of the change in transport volume on the dependence.

In order to increase quality of spatial data and improve productivity of data creation, it is important to reduce the time spent handling errors during data preparation.

This research considers a method of automatically correcting certain errors in spatial data as the first step of establishing a data creation method which reduces the manual correction of errors. Research shows that intersection redundancy with local dimensions of 1 to 50 cm make up over half of all errors. A correction tool was developed which recognizes the patterns of this type of error and automatically corrects them.

The correction tool was used with real data to determine the effectiveness of this method. Results show that 73% of the total errors could be corrected automatically, greatly reducing the overall time required to process the spatial data.

Many Asian countries have faced real challenge to provide people with safe drinking water. Predicting the impact of dynamic and rapid change of land-use on water resources on local scale is a pressing issue, especially in developing countries where available data is very limited. In order to support water and land management and local policy making, a methodology to simulate future land-use and water demand was developed. A tool was developed as a GIS-based tool by integrating a series of analysis, for predicting future land-use based on local land-use change trends using multi logistic regression analysis. The model was applied to 2003 land-use to forecast 2033 land-use and water demand. With the Mekong River 3S sub-basins used as a study area, this paper presents the land-use forecast tool; simulated 2033 land-use and water demand: as well as estimated impact of the forecasted future water demand on the local stream flow.

We aim to analyze and evaluate an evacuation range in Misa Oita-shi using three-dimensional geospatial information at the time of tsunami caused by the earthquake in Beppu Bay and the Nankai Trough. In addition, the analysis and evaluation are performed separately for healthy and vulnerable people. Features of our research are considering evacuation to a safe height of tsunami evacuation building and the distance to a connecting point of road network from the building. As a result of the analysis and evaluation, we indicate that all residents of Misa area including vulnerable people can evacuate from Beppu Bay Tsunami if every tsunami evacuation building is able to be used.