ホッカイドウ カイハツチョウ ニ オケル キロク カンリ システム ノ ケイセイ トクシュウ センゴ チュウオウ ショウチョウ ニ オケル キロク カンリ システム ノ ケイセイ ニ ツイテ

研究ノー

ミハラ エイジロウ オウベイ シュヨウ ショコク ガイムショウ ブンショ セイリ ホウホウ ガイヨウ 1934ネン 9ガツ ホンコク ト カイダイ

戦前期の日本における記録事務に対する改革構想、アーカイブズに関する理論や技術の導入過程には、必ずしも明らかではない部分も多く、公文書の管理や公開、アーカイブズ制度の整備の遅れから、日本の後進性のみを強調したネガティブな評価が先行しがちである。当時の人々が改善を模索し、試行錯誤を繰り返したその軌跡をたどることで、今日の我々が直面する問題の所在の見定めが可能となろう。　「記録管理」理論が形成期を迎えた第一次世界大戦後における海外の動向を、フランスの「国立文書学校（École Nationale des Chartes）」での在外研究などを通して吸収し、自らの組織に還元しようとした外務官僚・三原英次郎の報告書「欧米主要諸国外務省文書整理方法概要」（一九三四年九月）は、そのような研究上の課題を解決する糸口となる好事例である。This article is to reprint a report of a foreign bureaucrat, Mihara Hidejiro, who studied in France in 1931 and studied archival sciences at “École Nationale des Chartes,” and explains the report including the background for it. 　Through his report, it is possible to understand how Japan at that time accepted state-of-the-art record management theory and applied it to organizational reform.資料解

Synthesized trade-off analysis of flood control solutions under future deep uncertainty: An application to the central business district of Shanghai.

Coastal mega-cities will face increasing flood risk under the current protection standard because of future climate change. Previous studies seldom evaluate the comparative effectiveness of alternative options in reducing flood risk under the uncertainty of future extreme rainfall. Long-term planning to manage flood risk is further challenged by uncertainty in socioeconomic factors and contested stakeholder priorities. In this study, we conducted a knowledge co-creation process together with infrastructure experts, policy makers, and other stakeholders to develop an integrated framework for flexible testing of multiple flood-risk mitigation strategies under the condition of deep uncertainties. We implemented this framework to the reoccurrence scenarios in the 2050s of a record-breaking extreme rainfall event in central Shanghai. Three uncertain factors, including precipitation, urban rain island effect and the decrease of urban drainage capacity caused by land subsidence and sea level rise, are selected to build future extreme inundation scenarios in the case study. The risk-reduction performance and cost-effectiveness of all possible solutions are examined across different scenarios. The results show that drainage capacity decrease caused by sea-level rise and land subsidence will contribute the most to the rise of future inundation risk in central Shanghai. The combination of increased green area, improved drainage system, and the deep tunnel with a runoff absorbing capacity of 30% comes out to be the most favorable and robust solution which can reduce the future inundation risk by 85% (±8%). This research indicates that to conduct a successful synthesized trade-off analysis of alternative flood control solutions under future deep uncertainty is bound to be a knowledge co-creation process of scientists, decision makers, field experts, and other stakeholders