Agent-based modelling and simulation of urban evacuation: relative effectiveness of simultaneous and staged evacuation strategies

被引:207
作者
Chen, X. [1 ]
Zhan, F. B. [1 ,2 ]
机构
[1] SW Texas State Univ, Dept Geog, Texas Ctr Geog Informat Sci, San Marcos, TX 78666 USA
[2] Cent S Univ, Changsha 410083, Hunan, Peoples R China
关键词
agent-based modelling; simulation; evacuation; network; transportation;
D O I
10.1057/palgrave.jors.2602321
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This study investigates the effectiveness of simultaneous and staged evacuation strategies using agent-based simulation. In the simultaneous strategy, all residents are informed to evacuate simultaneously, whereas in the staged evacuation strategy, residents in different zones are organized to evacuate in an order based on different sequences of the zones within the affected area. This study uses an agent-based technique to model traffic flows at the level of individual vehicles and investigates the collective behaviours of evacuating vehicles. We conducted simulations using a microscopic simulation system called Paramics on three types of road network structures under different population densities. The three types of road network structures include a grid road structure, a ring road structure, and a real road structure from the City of San Marcos, Texas. Default rules in Paramics were used for trip generation, destination choice, and route choice. Simulation results indicate that (1) there is no evacuation strategy that can be considered as the best strategy across different road network structures, and the performance of the strategies depends on both road network structure and population density; (2) if the population density in the affected area is high and the underlying road network structure is a grid structure, then a staged evacuation strategy that alternates non-adjacent zones in the affected area is effective in reducing the overall evacuation time.
引用
收藏
页码:25 / 33
页数:9
相关论文
共 42 条
[1]   Complexity theory and organization science [J].
Anderson, P .
ORGANIZATION SCIENCE, 1999, 10 (03) :216-232
[2]  
[Anonymous], 1999, Swarm Intelligence
[3]   The discrete dynamics of small-scale spatial events: agent-based models of mobility in carnivals and street parades [J].
Batty, M ;
Desyllas, J ;
Duxbury, E .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2003, 17 (07) :673-697
[4]   Emergent fundamental pedestrian flows from cellular automata microsimulation [J].
Blue, VJ ;
Adler, JL .
TRAFFIC FLOW THEORY: SIMULATION MODELS, MACROSCOPIC FLOW RELATIONSHIPS, AND FLOW ESTIMATION AND PREDICTION, 1998, (1644) :29-36
[5]  
Bonabeau E, 2002, HARVARD BUS REV, V80, P109
[6]   Agent-based modeling: Methods and techniques for simulating human systems [J].
Bonabeau, E .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 :7280-7287
[7]  
BOXILL S, 2000, SWUTC001676021 SW RE
[8]   Large-scale multi-agent transportation simulations [J].
Cetin, N ;
Nagel, K ;
Raney, B ;
Voellmy, A .
COMPUTER PHYSICS COMMUNICATIONS, 2002, 147 (1-2) :559-564
[9]  
CHEN X, 2006, THESIS TEXAS STATE U
[10]   Agent-based modeling and analysis of hurricane evacuation procedures for the Florida Keys [J].
Chen, XW ;
Meaker, JW ;
Zhan, FB .
NATURAL HAZARDS, 2006, 38 (03) :321-338