氣候變遷在近年來已經成為相當重要的議題，且氣候變遷導致自然災害的發生越來越頻繁，也越來越嚴重。由於交通建設在災害下是非常脆弱的，所以必須擬定計畫來增強其恢復力。然而恢復力的概念較模糊且較難被量化，永續性議題也較少被納入考慮，所以本研究之目的在於探討運輸系統中恢復力與永續性間的關聯，並提出一個數學模型以量測運輸系統於災害下之恢復力及永續性。
本研究著重於不同假設與限制下，災前及災後的運輸路網恢復力最佳化，並納入永續性做為考量因子，主要目標為建立一個能夠連結恢復力及永續性之最佳化模式。此最佳化模式是根據多指標系統建立，欲藉由有效率的資源分配來執行災前準備及災後復原工作，以提升運輸系統之恢復力。
災害下之恢復力指標數據藉由交通指派模擬軟體DynaTAIWAN模擬求得，而恢復力與永續性指標間之權重由分析層級程序法(AHP)來求得。本研究將以2014年高雄市氣爆事件進行實證研究分析，以應用及驗證此整合性模式，並且設定多個情境來實驗。最後依據求得之結果可擬訂相關建議，供有效資源分配計畫及災前防範計畫參考之用，且可納入永續性作為考慮的一環。所以執行災前準備及災後復原工作不僅可以改善災害下的路網績效，還能提升永續程度，尤其是災前的準備工作。另外，預算的增加能使永續程度快速提升，因此考慮永續必須先有充足的經費預算考量。

Climate change has become a critical issue in recent year, and lead to natural disasters happen more frequently and seriously. Transportation infrastructures are vulnerable under disasters, so resilience enhancement plan is necessary to conduct. However, resilience is a relative vague concept and hard to quantify, and seldom takes sustainability into consideration, so the purpose of this research is to discuss the connection of resilience and sustainability in transportation systems and to formulate the mathematical model for measuring transportation resilience with the consideration of sustainability under disasters.
This research focuses on the pre-disaster and post-disaster optimization of network resilience and sustainability under different assumptions and constraints. The main objective is to establish an optimization model that can both consider transportation resilience and sustainability. The optimization model based on multiple indicators are proposed to improve transportation resilience by efficient resource allocation for pre-disaster preparedness and post-disaster recovery actions.
DynaTAIWAN is used to evaluate the resilience index under disasters, and AHP method is used to combine multiple indicators. The experts think coping capacity is the most important indicator. Empirical study of Kaohsiung Gas Explosions in 2014 is carried out to illustrate the application, and different scenarios are carried out in experiments. The results can offer some advices for efficient resource allocation plans and disaster prevention enforcement plans when sustainability is considered. Taking preparedness and recovery actions can not only improve network performance under disaster but also increase the level of sustainability, especially for preparedness. Further, level of sustainability increases most rapidly with respect to budget. Thus, enough budget is needed for considering sustainability.

高雄市政府交通局 (民 98)，高雄都會區家戶旅次訪問調查與旅次特性分析報告書。
交通部運研所 (民101)，永續運輸之量化指標研究。
Adams, T. M., Bekkem, K. R., and Toledo-Durán, E. J. (2012), “Freight resilience measures,” Journal of Transportation Engineering, 138(11), 1403-1409.
Alberti, M. and Marzluff, J.M. (2004), “Ecological resilience in urban ecosystems: linking urban patterns to human and ecological functions,” Urban Ecosystems, 7 (3), 241–265.
Awasthi, A. and Chauhan, S. S. (2011), “Using AHP and Dempster–Shafer theory for evaluating sustainable transport solutions,” Environmental Modelling and Software, Vol. 26, No. 6, 787–796.
Black, W.R. (1996), “Sustainable transportation: a US perspective,” Journal of Transport Geography 4, 151–159.
Chen, L. and Miller-Hooks, E. (2012), “Resilience: An indicator of recovery capability in intermodal freight transport,” Transportation Science, 46(1), 109-123.
Cox, A., Prager, F., and Rose, A. (2011), “Transportation security and the role of resilience: A foundation for operational metrics,” Transport Policy, 18(2), 307-317.
CST (2005), “Sustainable Transportation Performance Indicators,” Centre for Sustainable Transportation, www.cstctd.org
Department of Homeland Security National Infrastructure Protection Plan (DHS), (2009), http://www.dhs.gov/national-infrastructure-protection-plan
Faturechi, R., Levenberg, E., and Miller-Hooks, E. (2014), “Evaluating and optimizing resilience of airport pavement networks,” Computers and Operations Research, 43, 335-348.
Faturechi, R. and Miller-Hooks, E. (2013), “A Mathematical Framework for Quantifying and Optimizing Protective Actions for Civil Infrastructure Systems,” Computer-Aided Civil and Infrastructure Engineering Systems, 29(8), 572-589.
Folke, C., Carpenter, S. R., Walker, B., Scheffer, M., Chapin, T., and Rockström, J. (2010), “Resilience thinking: integrating resilience, adaptability and transformability,” Ecology and Society, 15(4): 20.
Goepel, K. D. (2013), “Implementing the Analytic Hierarchy Process as a Standard Method for Multi-Criteria Decision Making in Corporate Enterprises – A New AHP Excel Template with Multiple Inputs”, Proceedings of the International Symposium on the Analytic Hierarchy Process 2013.
Haghshenas, H. and Vaziri, M. (2012), “Urban sustainable transportation indicators for global comparison,” Ecological Indicators, 15(1), 115-121.
Holling, C. S. (1973), “Resilience and Stability of Ecological Systems,” Annual Review of Ecology and Systematics. Vol. 4: 1-23.
Holling, C. S. (1995), “What Barriers? What Bridges?” in Barriers and Bridges to the Renewal of Ecosystems and Institutions. Edited by L. Gunderson, C. S. Holling, and S. Light. New York: Columbia University Press.
Iida, Y. and Wakabayashi, H. (1989), “An approximation method of terminal reliability of road network using partial minimal path and cut sets.” Transport Policy, Management and Technology towards 2001: Selected Proceedings of the Fifth World Conference on Transport Research, 4, 367-380.
Ip, W. H. and Wang, D. (2009), “Resilience evaluation approach of transportation networks,” International Joint Conference on Computational Sciences and Optimization, 2, 618-622.
Ip, W. H. and Wang, D. (2011), “Resilience and friability of transportation networks: evaluation, analysis and optimization,” Systems Journal, IEEE, 5(2), 189-198.
Kennedy, C., Miller, E., Shalaby, A., Maclean, H., and Coleman, J. (2005), “The four pillars of sustainable urban transportation,” Transport Reviews, Vol. 25, No. 4, 393–414.
Litman, T. (2003), “Sustainable transportation indicators,” Victoria Transport Policy Institute, 100.
Lokuge, W. and Setunge, S. (2013), “Evaluating disaster resilience of bridge infrastructure when exposed to extreme natural events,” In Proceedings of the 3rd International Conference on Building Resilience 2013 (pp. 1-12). University of Salford.
Madhusudan, C. and Ganapathy, G. P. (2011), “Disaster resilience of transportation infrastructure and ports – An overview,” International Journal of Geomatics and Geosciences, 2(2), 443-455.
Mattsson, L. G. and Jenelius, E. (2015), “Vulnerability and resilience of transport systems: A discussion of recent research.”
McDaniels, T., Chang, S., Cole, D., Mikawoz, J., and Longstaff, H. (2008), “Fostering resilience to extreme events within infrastructure systems: Characterizing decision contexts for mitigation and adaptation,” Global Environmental Change, 18(2), 310-318.
MCEER (2005), White Paper on the SDR Grand Challenges for Disaster Reduction. MCEER, Buffalo, NY.
Miller-Hooks, E., Zhang, X., and Faturechi, R. (2012), “Measuring and maximizing resilience of freight transportation networks,” Computers and Operations Research, 39(7), 1633-1643.
Murray-Tuite, P. M. (2006), “A comparison of transportation network resilience under simulated system optimum and user equilibrium conditions,” Simulation Conference, 2006. WSC 06. Proceedings of the Winter, 1398-1405.
OECD (1996), Towards Sustainable Transportation. OECD Publications, Paris.
Omer, M., Mostashari, A., and Nilchiani, R. (2011), “Measuring the Resiliency of the Manhattan Points of Entry in the Face of Severe Disruption,” American Journal of Engineering and Applied Sciences, 4(1), 153-161.
Ouyang, M., Dueñas-Osorio, L., and Min, X. (2012), “A three-stage resilience analysis framework for urban infrastructure systems,” Structural Safety, 36, 23-31.
Parry, M. L., Canziani, O. F., Palutikof, J. P., Van der Linden, P. J., and Hanson, C. E. (2007), “Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change, 2007,” Climate Change 2007: Working Group II: Impacts, Adaptation and Vulnerability.
Paul, J. A. and Maloni, M. J. (2010), “Modeling the effects of port disasters,” Maritime Economics and Logistics, 12(2), 127-146.
Pierce, J. C., Budd, W. W., and Lovrich, N. P. (2011), “Resilience and sustainability in US urban areas,” Environmental Politics, 20:4, 566-584.
Redman, C. L. (2014), “Should sustainability and resilience be combined or remain distinct pursuits.” Ecology and Society, 19(2), 37.
Reggiani, A. (2013), “Network resilience for transport security: Some methodological considerations,” Transport Policy, 28, 63-68.
Richardson, B. C. (2005), “Sustainable transport: analysis frameworks,” Journal of Transport Geography, Vol. 13, No. 1, 29–39.
Ruckelhaus, W. D. (1992), “Toward a sustainable world,” The Energy-environment connection, 365-382.
Saunders, W. S. A., and Becker, J. S. (2015), “A discussion of resilience and sustainability: Land use planning recovery from the Canterbury earthquake sequence, New Zealand,” International Journal of Disaster Risk Reduction.
Tamvakis, P. and Xenidis, Y. (2012), “Resilience in transportation systems,” Procedia-Social and Behavioral Sciences, 48, 3441-3450.
Tierney, K. and Bruneau, M. (2007), “Conceptualizing and measuring resilience: A key to disaster loss reduction,” TR news, (250).
Transport Research Laboratory(TRL), “Resilient Mobility” http://www.resilientmobility.com/about
Turnquist, M. and Vugrin, E. (2013), “Design for resilience in infrastructure distribution networks,” Environment Systems and Decisions, 33(1), 104-120.
UNESCO World Heritage Centre, “Prevention, preparedness, response, recovery – Unesco,” http://webworld.unesco.org/safeguarding/en/pdf/txt_sini.pdf
Walker, B. H. and Salt, D. (2006), “Resilience Thinking: Sustaining Ecosystems and People in a Changing World. 174p.” Island Press, Washington, D.C., USA.
World Commission on Environment and Development (WCED), (1987). “Our common future,” Oxford University Press, Oxford.
Zhang, L., Wen, Y., Huang, Z., and Jin, M. (2010), “Framework of calculating the measures of resilience (MOR) for intermodal transportation systems,” No. FHWA/MS-DOT-RD-10-220.