摘要
为实现旅游景区行人的安全疏散,提高行人疏散效率,文章以实际适用性和行人动态疏散为要点,提出一种基于Dijkstra算法,兼顾道路长度、宽度、坡度、实时人群密度等行人疏散效率影响因素的景区行人动态最短时间应急疏散路线规划(DSTEERP)算法。文章选取南宁市青秀山风景区和广西大学作为仿真区域,运用MATLAB软件进行人群疏散仿真和结果比对。结果表明:在实验设定下,DSTEERP算法与静态最短时间应急疏散路线规划(SSTEERP)算法和静态最短距离应急疏散路线规划(SSDEERP)算法相比,总疏散时间和人均疏散时间在青秀山风景区中缩短40%以上,在广西大学中缩短70%以上,验证了DSTEERP算法的可行性和有效性。
To evacuate tourists efficiently and safely at tourist attractions,the paper proposed a Dijkstrabased algorithm for dynamic shortest-time emergency evacuation route planning(DSTEERP)based on practical application and pedestrian dynamic evacuation and the algorithm was enabled to simultaneously consider the effect of road length,width,slope and real-time crowd density on pedestrian evacuation efficiency.It selected two cases in point namely Qingxiu Mountain and the Campus of Guangxi University,to simulate the crowd evacuation process and compare the evacuation efficiency by MATLAB.The results verify the feasibility and effectiveness of the proposed algorithm under the experimental setting.In detail,compared with the static shortest time emergency evacuation route planning(SSTEERP)algorithm and the static shortest distance emergency evacuation route planning(SSDEERP)algorithm,both the total evacuation time and evacuation time per capita by DSTEERP algorithm are reduced more than 40%in the Qingxiu Mountain,and more than 70%in the Campus of Guangxi University.
作者
胡明明
李新娥
杨丽梅
HU Mingming;LI Xin’e;YANG Limei(School of Business,Guangxi University,Guangxi Nanning 530004,China;School of Economics,Guangxi University,Guangxi Nanning 530004,China)
出处
《旅游科学》
北大核心
2023年第6期163-179,共17页
Tourism Science
基金
国家自然科学基金地区科学基金项目“景区游客时空分布管理熵测度、拥堵预警及优化疏导研究”(71761001)
国家社会科学基金项目“数字化创新驱动民族地区旅游业高质量发展的路径与支持体系研究”(21BJY193)
广西重点研发计划项目“基于大数据的景区客流高频预测、评估与智能引导研究及应用示范”(桂科AB20297040)。
关键词
景区
应急疏散
动态路线规划
DIJKSTRA算法
疏散时间
tourist attractions
emergency evacuation
dynamic route planning
Dijkstra algorithm
evacuation time
