A DISCUSSION ABOUT EFFECTIVE WAYS OF BASIC RESIDENT REGISTER ON GIS
Keywords: GIS, Basic Resident Register, Address Dictionary, Geocoding, Address Points
Abstract. In Japan, each municipality keeps a database of every resident’s name, address, gender and date of birth called the Basic Resident Register.
If the address information in the register is converted into coordinates by geocoding, it can be plotted as point data on a map. This would enable prompt evacuation from disaster, analysis of distribution of residents, integrating statistics and so on. Further, it can be used for not only analysis of the current situation but also future planning. However, the geographic information system (GIS) incorporating the Basic Resident Register is not widely used in Japan because of the following problems:
– Geocoding In order to plot address point data, it is necessary to match the Basic Resident Register and the address dictionary by using the address as a key. The information in the Basic Resident Register does not always match the actual addresses. As the register is based on applications made by residents, the information is prone to errors, such as incorrect Kanji characters.
– Security policy on personal information In the register, the address of a resident is linked with his/her name and date of birth. If the information in the Basic Resident Register were to be leaked, it could be used for malicious purposes.
This paper proposes solutions to the above problems. The suitable solutions for the problems depend on the purpose of use, thus it is important that the purpose should be defined and a suitable way of the application for each purpose should be chosen. In this paper, we mainly focus on the specific purpose of use: to analyse the distribution of the residents.
We provide two solutions to improve the matching rate in geocoding. First, regarding errors in Kanji characters, a correction list of possible errors should be compiled in advance. Second, some sort of analyses such as distribution of residents may not require exactly correct position for the address point. Therefore we set the matching level in order: prefecture, city, town, city-block, house-code, house, and decided to accept up to city-block level for the matching.
Moreover, in terms of security policy on personal information, some part of information may not be needed for the distribution analysis. For example, the personal information like resident’s name should be excluded from the attribute of address point in order to secure the safety operation of the system.