Shelter location and transportation planning under hurricane conditions

American Red Cross, 2002. Standards for hurricane evacuation shelter selection. ARC 4496. Bard, 1991, Some properties of the bilevel programming problem, Journal of Optimization Theory and Applications, 68, 371, 10.1007/BF00941574 Camerini, 1975, On improving relaxation methods by modified gradient techniques, Mathematical Programming Study, 3, 26, 10.1007/BFb0120697 Chiu, 2008, Evaluating regional contra-flow and phased evacuation strategies for Texas using a large-scale dynamic traffic simulation and assignment approach, Journal of Homeland Security and Emergency Management, 5, 10.2202/1547-7355.1409 Cova, 2003, A network flow model for lane-based evacuation routing, Transportation Research Part A, 37, 579 Crowder, 1976, Computational improvements for subgradient optimization, Symposia Mathematica, 19, 357 Daganzo, C.F., 1994. The Cell Transmission Model. Part I: a simple dynamic representation of highway traffic. Technical Report UCB-ITS-PRR-93-7, Institute of Transportation Studies, University of California, Berkeley. Daganzo, 1995, The cell transmission model. Part II: network traffic, Transportation Research Part B, 29, 79, 10.1016/0191-2615(94)00022-R Dunn, 1992, Optimal routes in GIS and emergency planning applications, Area, 24, 259 Fan, 2010, Solving stochastic transportation network protection problems using the progressive hedging-based method, Networks and Spatial Economics, 10, 193, 10.1007/s11067-008-9062-y FEMA, 2006. Multi-hazard loss estimation methodology: hurricane model. HAZUS-MH MR2 User Manual, FEMA, Washington, DC. Fletcher, 2004, Solving mathematical programs with complementarity constraints as nonlinear programs, Optimization Methods and Software, 19, 15, 10.1080/10556780410001654241 Fletcher, 2006, Local convergence of SQP methods for mathematical programs with equilibrium constraints, SIAM Journal on Optimization, 1, 259, 10.1137/S1052623402407382 Franzese, O., Sorensen, J., 2004. Fast deployable system for consequence management: the emergency evacuation component. Emergency Management Center at Oak Ridge National Laboratory <http://emc.ornl.gov/CSEPPweb/evac_files/>. Gartner, 1980, Pilot study of computer based urban traffic management, Transportation Research Part B, 14, 203, 10.1016/0191-2615(80)90045-4 Hansen, P., Kochetov, Y., Mladenovic, N., 2004. Lower bounds for the uncapacitated facility location problem with user preferences. In: Proceedings of Discrete Optimization Methods in Production and Logistics (DOM’2004) 2nd International Workshop, Omsk, pp. 50–55. Held, 1974, Validation of subgradient optimization, Mathematical Programming, 6, 62, 10.1007/BF01580223 Hobeika, 1998, Comparison of traffic assignments in evacuation modeling, IEEE Transactions on Engineering Management, 45, 192, 10.1109/17.669768 Huang, 2001, Hurricane simulation techniques for the evaluation of wind speeds and expected insurance losses, Journal of Wind Engineering and Industrial Aerodynamics, 89, 605, 10.1016/S0167-6105(01)00061-7 Janson, 1991, Dynamic traffic assignment for urban road networks, Transportation Research Part B, 25, 143, 10.1016/0191-2615(91)90020-J Janson, 1995, Network design effects of dynamic traffic assignment, Journal of Transportation Engineering, 121, 1, 10.1061/(ASCE)0733-947X(1995)121:1(1) Kalafatas, 2009, Planning for evacuation: Insights from an efficient network design model, Journal of Infrastructure System, 15, 21, 10.1061/(ASCE)1076-0342(2009)15:1(21) Karoonsoontawong, 2005, A comparison of system- and user-optimal stochastic dynamic network design models using Monte Carlo bounding techniques, Transportation Research Record, 1923, 91, 10.3141/1923-10 Karoonsoontawong, 2006, Dynamic continuous network design problem – linear bilevel programming and metaheuristic approach, Transportation Research Record, 1964, 104, 10.3141/1964-12 Kongsomaksakul, 2005, Shelter location-allocation for flood evacuation planning, Journal of the Eastern Asia Society for Transportation Studies, 6, 4237 Lawphongpanich, 2004, An MPEC approach to second-best toll pricing, Mathematical Programming, 101, 33, 10.1007/s10107-004-0536-5 Legg, 2010, Optimizing the selection of hazard-consistent probabilistic scenarios for long-term regional hurricane loss estimation, Structural Safety, 32, 90, 10.1016/j.strusafe.2009.08.002 Li, A.C.Y., Nozick, L., Davidson, R., Wolshon, B., Brown, N., Jones, D.A., submitted for publication. A computationally efficient algorithm for dynamic traffic assignment. Journal of Transportation Research Part C. Luo, 1996 Meng, 2008, Microscopic traffic simulation model-based optimization approach for the contraflow lane configuration problem, Journal of Transportation Engineering, 134, 41, 10.1061/(ASCE)0733-947X(2008)134:1(41) Mileti, 1992, Toward an explanation of mass care shelter use in evacuations, International Journal of Mass Emergencies and Disasters, 10, 25, 10.1177/028072709201000102 Ng, 2010, A hybrid bilevel model for the optimal shelter assignment in emergency evacuations, Computer-Aided Civil and Infrastructure Engineering, 25, 547, 10.1111/j.1467-8667.2010.00669.x Patriksson, 2002, A mathematical model and descent algorithm for bilevel traffic management, Transportation Science, 36, 271, 10.1287/trsc.36.3.271.7826 Sbayti, 2006, Optimal scheduling of evacuation operations, Transportation Research Record, 1964, 238, 10.3141/1964-26 Sherali, 1991, A location-allocation model and algorithm for evacuation planning under hurricane/flood conditions, Transportation Research Part B, 25, 439, 10.1016/0191-2615(91)90037-J Smith, L., Beckman, R., Anson, D., Nagel, K., Williams, M., 1995. TRANSIMS: transportation analysis and simulation system. LA-UR-95-1641, US Department of Transportation, Washington, DC. Tuydes, 2006, Tabu-based heuristic approach for optimization of network evacuation contraflow, Transportation Research Record, 1964, 157, 10.3141/1964-17 Tweedie, 1986, A methodology for estimating emergency evacuation times, Social Science Journal, 23, 189, 10.1016/0362-3319(86)90035-2 Ukkusuri, S., 2002. Linear programs for user optimal dynamic traffic assignment problem. Master’s thesis, University of Illinois at Urbana Champaign. Ukkusuri, 2007, Robust transportation network design under demand uncertainty, Computer-Aided Civil and Infrastructure Engineering, 22, 6, 10.1111/j.1467-8667.2006.00465.x Ukkusuri, 2008, Linear programming models for the user and system optimal dynamic network design problem: formulations, comparisons and extensions, Network and Spatial Economics, 8, 383, 10.1007/s11067-007-9019-6 US Census Bureau, 2002. Census 2000 US Gazetter Files, 10 January 2002. Geography Division, US Census Bureau. Waller, 2001, Stochastic dynamic network design problem, Transportation Research Record, 1771, 106, 10.3141/1771-14 Wang, 2009, Location and design decisions of facilities in a distribution system with elastic customer demand, Journal of Shanghai Jiaotong University (Science), 14, 606, 10.1007/s12204-009-0606-1 Yamada, 1996, A network flow approach to a city emergency evacuation planning, International Journal of Systems Science, 27, 931, 10.1080/00207729608929296 Yang, 1992, Estimation of origin-destination matrices from link traffic counts on congested networks, Transportation Research Part B, 26, 417, 10.1016/0191-2615(92)90008-K Yang, 1995, Heuristic algorithms for the bi-level origin-destination matrix estimation problem, Transportation Research Part B, 29, 231, 10.1016/0191-2615(95)00003-V Yazici, 2007, Impact of probabilistic road capacity constraints on the spatial distribution of hurricane evacuation shelter capacities, Transportation Research Record, 2022, 55, 10.3141/2022-07 Yin, 2009, Robust improvement schemes for road networks under demand uncertainty, European Journal of Operational Research, 198, 470, 10.1016/j.ejor.2008.09.008