| Project/Area Number |
24241054
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Nanzan University |
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Principal Investigator |
SUZUKI Atsuo 南山大学, 理工学部, 教授 (70162922)
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| Co-Investigator(Kenkyū-buntansha) |
LI Mingzhe 福岡大学, 経済学部, 教授 (00320268)
SASAKI Mihiro 南山大学, 理工学部, 教授 (20319297)
UKAI Takamori 東海大学, 医学部, 助教 (20453540)
OYAMA Tatsuo 政策研究大学院大学, その他の研究科, 教授 (30134323)
MIURA Hidetoshi 南山大学, 理工学部, 教授 (30306253)
KURITA Osamu 慶應義塾大学, 理工学部, 教授 (40211891)
TAGUCHI Azuma 中央大学, 理工学部, 教授 (50114533)
INAKAWA Keisuke 秋田県立大学, システム科学技術学部, 助教 (50410759)
KOICHI Shungo 南山大学, 理工学部, 准教授 (50513602)
FURUTA Takehiro 奈良教育大学, 教育学部, 准教授 (60453825)
TORIUMI Shigeki 中央大学, 理工学部, 准教授 (60455441)
FUJIWARA Yoshihiro 愛知医科大学, 医学部, 教授 (70238640)
TAKAMATSU Mizuyo 中央大学, 理工学部, 准教授 (70580059)
Tanaka Ken-ichi 慶應義塾大学, 理工学部, 講師 (90408724)
腰塚 武志 南山大学, 理工学部, 教授 (50011094)
石崎 文雄 南山大学, 情報理工学部, 教授 (60257970)
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| Research Collaborator |
FUSHIMI Masanori 南山大学, 名誉教授
KOSHIZUKA Takeshi 筑波大学, 名誉教授
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| Project Period (FY) |
2012-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥46,930,000 (Direct Cost: ¥36,100,000、Indirect Cost: ¥10,830,000)
Fiscal Year 2015: ¥9,880,000 (Direct Cost: ¥7,600,000、Indirect Cost: ¥2,280,000)
Fiscal Year 2014: ¥10,140,000 (Direct Cost: ¥7,800,000、Indirect Cost: ¥2,340,000)
Fiscal Year 2013: ¥11,570,000 (Direct Cost: ¥8,900,000、Indirect Cost: ¥2,670,000)
Fiscal Year 2012: ¥15,340,000 (Direct Cost: ¥11,800,000、Indirect Cost: ¥3,540,000)
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| Keywords | 都市のオペレーションズ・リサーチ / 防災 / 都市計画 / 交通 / GIS / オペレーションズ・リサーチ / 都市のOR / 都市内交通ネットワーク / 都市内・都市間流動 / コンパクトな都市空間 / 最適配置問題 / シミュレーション / 時空間ネットワーク |
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| Outline of Final Research Achievements |
As a comprehensive study on the flow of people in the event of a disaster in the city, it was set three themes in this study. 1) Evaluation of transportation network robustness and efficiency: We have evaluated the robustness and efficiency of roads, railways, and aviation networks by using GIS, timetable and traffic data. 2) Making traffic flow models in the event of an emergency: We have developed a mathematical model that describes the railway of the delay of when an excessive amount of traffic is flowing. Also, we have analized the path in the city to progress the study of when serious accidents as required immediate evacuation. 3) Compact urban space design principles: We have mathematicallyanalyzed that travel times on the plane are shortend by railway networks.
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