| 研究生: |
陳奕瑋 Chen, Yi-Wei |
|---|---|
| 論文名稱: |
考慮路網可靠度之動態緊急疏散模式 A Dynamic Evacuation Model with Network Reliability |
| 指導教授: |
胡大瀛
Hu, Ta-Yin |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 交通管理科學系 Department of Transportation and Communication Management Science |
| 論文出版年: | 2013 |
| 畢業學年度: | 101 |
| 語文別: | 英文 |
| 論文頁數: | 76 |
| 中文關鍵詞: | 路網可靠度 、緊急疏散 、降雨量 、道路阻斷 |
| 外文關鍵詞: | Network Reliability, Emergency Evacuation, Precipitation, Link Closure |
| 相關次數: | 點閱:152 下載:10 |
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| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
隨著地球暖化影響,極端氣候逐漸出現在世界各地區,天然災害之威力也隨之增強導致人民財產損失以及生命安全受到威脅。儘管天然災害具有強大殺傷力以及不可預測性,但人類還是有辦法可以降低其所帶來之衝擊。緊急疏散便是其中一項辦法。在緊急災害發生期間,如果能疏散居住在危險地區的災民,是能有效的降低災害所產生的傷亡人數。然而在災害發生的環境底下,路網系統裡面的道路可能因此受到損壞而導致無法通行。台灣是特別容易受到颱風的侵襲的地方,而颱風往往伴隨著大量雨量,導致山區土石鬆軟進而容易發生土石流以及山崩現象。所以降雨量多寡是一個很重要的衡量指標。然而在過去的很多有關疏散的研究裡面,並沒有考慮到路網可能在災害環境底下受損的可能,多半均假設路網在緊急疏散時皆是完好無損。因此本研究即是在以雨量為指標下考慮路網之可靠度,同時建立一套動態疏散模型來模擬現實在天災環境底下,進行疏散工作之成效並利用CPLEX來求解。本研究在進行一連串實驗過後,驗證了考量路網可靠度會對緊急疏散有相當之影響,同時也加入了一條疏散改良策略來加強疏散效率。
Nature disaster may happen everywhere at any time and cause lots of property and casualties lost. Although they are “harmful” and “unpredictable”, there are still many ways to decrease the damage. Emergency evacuation is one of the strategies. During the disaster, according to emergency evacuation management, evacuating residents who live in the hazard zones is necessary and this strategy is effective in lower down the casualties. Under disasters condition, the links may close and network is be unstable. Especially Taiwan is often hit by typhoon. The heavy precipitation is one of the important measurements to evaluate the network reliability. However, few researches were considered about network reliability issue and most of them assumed that all of links can work in disaster condition. Therefore, the research considers precipitation as network reliability measurement and also constructs the dynamic evacuation model to optimal the evacuation performance. So it can be close to the real-world evacuation scenario under disaster. Through a series of experiments, the research verifies that the network reliability affects the evacuation performance and an optimal strategy is also been proposed to help adding evacuation efficiency.
1.Berdica, K. (2002), “An Introduction to road vulnerability: what has been done, is done and should be done ,” Transport Policy, Vol. 9, pp.117-127.
2.Chen, A., Zhou, Z., Chootinan, P. and Wong, S. C. (2008), “A Bi-Objective Reliable Network Design Problem,” Transportation Research Board Annual Meeting, National Academies Press, Washington, D. C., USA.
3.Chen, B.Y., Lam, W.H.K., Sumalee, A., Li, Q. and Li, Z. C. (2012), “Vulnerability analysis for large-scale and congested road networks with demand uncertainty,” Transportation Research Part A, Vol.46, pp.501-516.
4.Chiu, Y.C. and Zheng, H. (2007), “Real-time Mobilization Decisions for Multi-priority Emergency Response Resources and Evacuation Groups: Model Formulation and Solution,” Transportation Research Part E, Vol. 43, No. 6, pp.710-736.
5.Church, R.L. and Cova, T.J. (2000), “Mapping evacuation risk on transportation networks using a spatial optimization model, ” Transportation Research Part C ,Vol. 8, pp. 321-336.
6.Cova, T.J. and Johnson, J.P. (2003), “A network flow model for lane-based evacuation routing,” Transportation Research Part A, Vol.37, pp. 579–604.
7.Feng, C.M., Hsieh, C.H. and Ke, M.C. (2011), “ Constructing an assessment model for transportation network vulnerability in the metropolitan areas,” 2011 Conference and Annual Meeting of Chinese Institute of Transportation.
8.Hu, T.Y. and Ho, W.M., (2012),“Prediction of Typhoon Impact on Transportation Networks with Support Vector Regression,”the 92nd Annual Meeting of the Transportation Research Board.
9.Iida Y. (1999), “Basic Concepts And Future Directions Of Road Network Reliability Analysis,” Journal of Advanced Transportation, Vol. 33, No. 2, pp. 125-134.
10.Knoop V.L., Hoogendoorn S.P. and van Zuylen H.J. (2007), “Quantification of the impact of spillback modeling in assessing network reliability,” Transportation Research Board Annual Meeting, National Academies Press, Washington, D. C., USA.
11.Noh, H., Chiu, Y.C., Zheng, H., Hickman, M. and Mirchandani, P.B. (2009), “An Approach to Modeling Demand and Supply for A Short-Notice Evacuation,” Transportation Research Record, No. 2091, pp. 91-99.
12.Sanchez-Silva, M., Daniels, M., Lleras, G. and Patino, D. (2005) “A transport network reliability model for the efficient assignment of resources,” Transportation Research Part B, Vol. 37, pp. 47-63.
13.So, S.K. and Daganzo, F.S. (2010), “Managing evacuation routes,” Transportation Research Part B, Vol. 44, pp. 514-520.
14.So, S.K., and Daganzo, F.S. (2011) “Managing evacuation network,” Transportation Research Part B, Vol. 45, pp. 1424-1432.
15.Wang, C.Y. and Yen, K.C. (2006), “A Study on Network Reliability Evaluation and Restoration Model for Victims Evacuation from Disaster Area,” Journal of the Chinese Institute of Transportation, Vol. 18, No. 3, Sept. 2006, pp. 297-330.
16.FEMA (2010) “Evacuation Plans and Evacuation Guidelines” (http:// coop.fema.gov/plan/prepare/evacuation.shtm)