【摘要】 随着城市地铁及城市规划的持续扩建,伴随出现一些建设较早的地铁站人流增多而引起的大客流现象。针对这一现象,从地铁站内、外两方面系统地分析了客流增多的原因,应用工业工程方法提出了优化思维导图与地铁再优化原则。以西安地铁二号线运动公园站为例,运用AnyLogic行人库仿真技术进行了全尺寸、全数据仿真建模研究,在对进站人流特性进行分析的基础上,以密度图拥堵点、进出站用时和服务用时及它的队长等为指标,体现了优化前后的效果。结果表明:两侧入口人流得到明显均衡、瓶颈处人流密度降低,A侧、D侧行人安检耗时缩短4.48 min,进站时间缩短4.08 min,整体人流出站时间缩短了0.62 min。地铁再优化思路以及案例具体的优化意见能够为现今地铁站的再优化提供一定的解决思路。更多还原

【Abstract】 With the continuous expansion of urban subways and urban planning, the increase of people flow in some subway stations built earlier is emerging. The reasons behind were systematically analyzed both from the inside and outside of the subway stations. The principles of optimized mind mapping and subway re-optimization were put forward by applying industrial engineering methods. Taking the Sports Park Station of Xi’an Metro Line 2 as an example, a full-scale and full-data simulation modeling research was carried out by using AnyLogic pedestrian library simulation technology. Based on the analysis of the inbound people flow characteristics, taking the density map congestion points, time to enter and exit the station, service time, and the length of the queue etc as indicators, the effect before and after optimization were reflected. The results show that the flow of inlets on both sides is obviously balanced, and the flow density at the bottleneck is reduced. The pedestrian inspection time on A side and D side is shortened by 4.48 min, the time to enter the station is shortened by 4.08 min, and the overall outflow time is shortened by 0.62 min. The subway re-optimization idea and the case-specific optimization opinions can provide certain solutions for the re-optimization of today’s subway stations.更多还原