Optimization of Refuge Space in Urban High-density Area Based on Multi-agent Evacuation Simulation −Taking A University Campus in Nanjing as An Example
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摘要: 选取南京市某高校校园为研究对象，通过实地调研获取人口分布、道路网络、建筑布局、避难空间等基础数据，通过开展问卷调查获取人群避难场所选择偏好、避难路径选择等典型疏散行为参数。在Pathfinder应急疏散平台中建立多智能体疏散仿真模型，对白天和夜晚情况进行疏散模拟，基于疏散模拟结果，从空间环境、应急管理层面提出更新优化策略并完成仿真模拟验证。调查结果表明，校园内人群对避难场所的选择偏好依次为：场地型避难场所、建筑型避难场所、地下空间，避难场所偏好选择与调查对象性别相关；校园建筑全天的人口数量变化因建筑功能不同有较大差异，白天疏散时间显著少于夜晚，白天拥堵位置多出现在北园教学区，夜晚拥堵位置出现在南园宿舍区；宿舍区利用率高于教学区，大面积的避难场所（如操场、篮球场等）利用率反而处于较低水平。对改造后的校园区域进行疏散模拟验证，结果表明疏散完成时间显著减少、拥堵点人口密度下降，证明了改造措施的有效性。Abstract: Taking a university campus in Nanjing as the research object, the basic data of population distribution, road network, building layout, refuge space and so on were obtained through field investigation, and a questionnaire survey was carried out to obtain typical evacuation behavior parameters such as people's choice of refuge places and refuge paths. A multi-agent evacuation simulation model is established in the Pathfinder emergency evacuation platform to simulate the evacuation in the daytime and at night. Based on the evacuation simulation results, an update optimization strategy was proposed and validated from the spatial environment and emergency management levels. The results of the study show that the preference of the people on campus for the choice of refuge place is: site type shelter > building type shelter > underground space and the preference of shelter is related to the gender of the survey respondents; the change of the 24-hour population in campus buildings varies greatly depending on the building functions; the evacuation time during daytime is significantly less than that at night; the congested locations are mostly found in the North Campus teaching area during the daytime, and the congested locations at night are found in the South Campus dormitory area; the utilization rate of the dormitory area is higher than that of the teaching area, while the utilization rate of large evacuation areas such as playgrounds and basketball courts is at a lower level. The results show that the evacuation completion time is significantly reduced and the population density at the congestion point is reduced, which proves the effectiveness of the reconstruction measures.
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2 不同类型建筑24 h人口总数变化
2. Change of total population in different types of buildings in 24 hours
图 4 全天中不同时段完成疏散总时间
Figure 4. Total time to complete evacuation at different times of the day
图 10 增设入口提升避难空间可进入性
Figure 10. Add entrance to improve the accessibility of refuge space
图 11 改造前后疏散人数对比
Figure 11. Comparison of evacuation numbers before and after renovation
表 1 疏散行为决策问卷调查设计
Table 1. Design of questionnaire for evacuation behavior decision making
问题 选项 性别 ①男；②女 地震后倾向于逃往的避难场所（多选） ①大型体育馆；②操场；③公园绿地；④地下车库；⑤露天停车场 疏散过程中发生拥堵时的选择 ①排队等待；②寻找其他疏散通道 进入避难场所入口处发生拥堵的选择 ①排队等待；②寻找其他避难场所 
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表 2 避难场所选择偏好
Table 2. Choice preference of refuge place
性别 是否选择地下车库 是否选择大型体育馆 小计 是 否 男 是 占比2.78%，人数4 占比2.78%，人数4 人数144 否 占比13.89%，人数20 占比80.56%，人数116 女 是 占比0%，人数0 占比0%，人数0 人数123 否 占比6.50%，人数8 占比93.5%，人数115
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表 3 疏散过程拥堵时的路径选择
Table 3. Route selection during evacuation congestion
性别 避难通道拥堵 避难场所入口拥堵 小计 排队等待 另外寻找其他避难场所 男 排队等待 占比22.76%，人数33 占比2.76%，人数4 人数144 另外寻找其他疏散通道 占比30.34%，人数43 占比44.14%，人数64 女 排队等待 占比20.32%，人数25 占比3.25%，人数4 人数123 另外寻找其他疏散通道 占比39.84%，人数49 占比36.59%，人数45
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表 4 应急避难场所规划标准
Table 4. Planning standards for emergency shelters
场所类型 人均有效避难面积/m2 疏散距离/km 避难人口规模/万人 中心避难场所 >4.5 5.0～10.0 — 长期固定避难场所 4.5 ≤2.5 ≤9.0 中期固定避难场所 3.0 ≤1.5 ≤2.3 短期固定避难场所 2.0 ≤1.0 ≤0.5 紧急避难场所 1.0 ≤0.5 —
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