“Public Involvement” becomes a keyword in drafting comprehensive plan. However, it has been limited to putting together opinion by opening of workshop. There are no keys on this fact, when opinion of inhabitant can be accurately reflected. It is a problem of what is called “silent majority”.
Based on these backgrounds, this study proposes Public Involvement support system. To begin with, this system utilizes AHP, and it is quantitatively clarified on feeling value of all participation members of workshop. In addition, member is grouped by utilization of cluster analysis using feeling value data. Then, by clarifying of allelism structure, convergence directivity of discussion is presented.
By utilizing this system, it becomes possible that group consensus building is supported. And, it is possible to ease problem of the silent majority.
In addition, the case of concretely utilizing this support system is presented. In 4th comprehensive plan decision in Hokkaido Siraoi town, this system is utilized in scene which presents directivity of “future image of community planning”. Then, a posteriori estimated result from inhabitant is analyzed for directivity of “future image of community planning”.

抄録全体を表示

Questionnaire surveying has been one of the main means for surfacing the needs of local residents by the local government or community and these survey results have been utilized to make policies in almost all local governments in Japan. In this study, based on a questionnaire survey conducted in Shingu Town, Hyogo prefecture in 2004, we found questions that ask satisfaction and importance level of 55 living environment items by means of ordinal scale tend to overestimate residents' needs. This is because of external effects from local public facilities and services such as option values and prestige values. Therefore we propose the introduction of quantification methods such as CVM (Contingent Valuation Method), AHP (Analytic Hierarchy Process) and Conjoint Analysis to determine the local issues and create a local community that is effectively managed.
Particularly, we examined the applicability of an extended version of AHP named “Relative Position Measurement Approach” which has been proposed by A. Mori, S. Suzuki, K. Suzuki and H. Igarashi. To do this, firstly, we designed a question asking local residents for marking relative importance of 6 different living environment fields such as social infrastructure, health and welfare, education and culture, and public participation on a 0 to 10 cardinal scale. Then answers from 680 respondents out of 4,860 households in Shingu Town were processed through AHP weighting process to calculate importance weights for 6 living environment fields. Finally, statistical analysis such as multiple regression analysis and correlation analysis were applied to compare the relationship between estimated importance weights over 6 living environment fields calculated by applying AHP and importance levels evaluated over 55 living environment items which are grouped into 6 upper rank living environment fields. The results strongly supported our hypothesis that each importance evaluation on ordinal scale overestimates the real needs for local public facilities and services. Furthermore, a question that value of calculated weights might be affected by the structure of evaluation items or attributes hierarchy is raised.
As a further extension of this study, we discuss the viability of a GIS (Geographic Information Systems) based feedback system to provide questionnaire results to local residents.

JEL Classification: C35, R22, R58

抄録全体を表示