文章编号： 1672-5328（2018）01-0078-07

牟玲玲，齐丹，周晓冬
(河北工业大学经济管理学院，天津300401)

摘要： 城市是人口稠密、经济发达、社会财富高度集中的地区，同时也是自然灾害社会脆弱性较高 的地区。突发事件的不可预测性和随机性对自然灾害下城市应急交通提出了更高要求。为降低自然 灾害给城市带来的损失，有序实施交通管理，提高应急疏散效率，对比分析国内外突发事件应急疏 散中交通行为与交通仿真技术应用。重点聚焦中国经济发达地区发生的自然灾害以及灾后相关研 究，探寻国外先进研究方法在中国实际环境中的可借鉴之处。

关键词： 智能交通系统；交通行为与仿真；文献法；自然灾害

中图分类号： U491

文献标识码：A

A Review of Post-Disaster Travel Behaviors and Simulation

Mu Lingling, Qi Dan, Zhou Xiaodong
(School of Economics and Management, Hebei University of Technology, Tianjin 300401, China)

Abstract： Cities are not only an area with dense population, advanced economy, and highly concentrated social wealth, but also encounter with a high social vulnerability during natural disasters. The unpredictability and randomness of such the emergency condition always place a huge challenge to cities, especially to its transportation system. To be less affected by nature disasters, better organize transportation, and improve the efficiency of emergency evacuation, this paper unfolds a series of comparisons in terms of travel behaviors and the application of transportation simulation technology during emergency evacuation between China and abroad. Focusing on the studies in relation to evacuation in developed areas in China, the paper summarizes the experience and lessons.

Keywords： intelligent transportation systems; travel behaviors and simulation; literature research; natural disaster