The Mass Evacuation (MASSVAC) model was originally developed for analysis and evaluation of evacuation plan in a specific area facing natural disasters. It was later applied to deal with the problems of evacuation around nuclear power stations (MASSVAC 3.0). The purpose of this model is to simulate the network clearance time and evacuation routes. In the process, it employs the Dial's or the all-or-nothing method to assign the traffic on to the network. The major effort in this research is to include the user equilibrium assignment method to reduce the evacuation times and to improve highway network performance. Evacuation routes, number of links used, and evacuation times etc. are found to be influenced by the user equilibrium assignment method. Transportation System Management (TSM) strategies have also been incorporated in this enhanced model (MASSVAC 4.0) to improve the network performance during evacuation. The trip distribution process and the shortest path algorithm has been modified appropriately to suit the user equilibrium assignment. / Master of Science

Thesis (M.S.)--University of Alabama at Birmingham, 2009. / Title from PDF t.p. (viewed July 21, 2010). Includes bibliographical references (p. 90-93).

Thesis (Ph. D.)--Rutgers University, 2009. / "Graduate Program in Geography." Includes bibliographical references (p. 107-124).

Thesis (Ph. D.)--University of Illinois at Urbana-Champaign, 2006. / Title from PDF title screen. "April 2006." "Research report FHWA-ICT-07-004." "UILU-ENG-2007-2007." Includes bibliographical references (p. 251-256).

Thesis (Ph.D.)--University of Central Florida, 2008. / Adviser: Essam A. Radwan. Includes bibliographical references (p. 146-154).

Thesis (Ph. D.)--University of Texas at Austin, 2003. / Supervisor: Hani S. Mahmassani. Vita. Includes bibliographical references. Available also from UMI Company.

Thesis (Ph.D.)--University of California, Berkeley, 2010. / "Spring 2010." Includes bibliographical references (p. 35-36).

Thesis (Ph. D.)--Texas State University-San Marcos, 2006. / Vita. Appendices: leaves 104-117. Includes bibliographical references (leaves 118-124).

Thesis (Ph. D.)--Texas State University-San Marcos, 2006. / Vita. Appendices: leaves 104-117. Includes bibliographical references (leaves 118-124).

The goal of this research is to construct a system with the ability of helping decision makers make decisions while facing emergency or disaster evacuation conditions, that is, to build a decision support system for mass evacuation and emergency management. By combining MASSVAC2 and HEUPRAE2 analysis models, shortest path finding technique, computer graphic display technique, data structure and processing algorithms, and interactive computer dialog method, a system named Transportation Evacuation Decision Support System (TEDSS) has been built to achieve the goal of the research. TEDSS has been proved to be very useful and practical after it is applied on the Virginia Beach City flood evacuation project and the Mexico City earthquake project. A description of the structure of TEDSS and the theoretical and technical aspects behind it is included. There is also a manual of how to use TEDSS can be found in chapter 5. / M.S.