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A simulation model for estimating train and passenger delays in large-scale rail transit networks 被引量:5
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作者 江志彬 李锋 +1 位作者 徐瑞华 高鹏 《Journal of Central South University》 SCIE EI CAS 2012年第12期3603-3613,共11页
A simulation model was proposed to investigate the relationship between train delays and passenger delays and to predict the dynamic passenger distribution in a large-scale rail transit network. It was assumed that th... A simulation model was proposed to investigate the relationship between train delays and passenger delays and to predict the dynamic passenger distribution in a large-scale rail transit network. It was assumed that the time varying original-destination demand and passenger path choice probability were given. Passengers were assumed not to change their destinations and travel paths after delay occurs. CapaciW constraints of train and queue rules of alighting and boarding were taken into account. By using the time-driven simulation, the states of passengers, trains and other facilities in the network were updated every time step. The proposed methodology was also tested in a real network, for demonstration. The results reveal that short train delay does not necessarily result in passenger delays, while, on the contrary, some passengers may get benefits from the short delay. However, large initial train delay may result in not only knock-on train and passenger delays along the same line, but also the passenger delays across the entire rail transit network. 展开更多
关键词 delay simulation passenger delay train delay rail transit network TIMETABLE
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Importance Analysis of Urban Rail Transit Network Station Based on Passenger 被引量:4
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作者 Jun Jin Man Li +4 位作者 Yanhui Wang Lingxi Zhu Liang Ping Bo Wang Ping Li 《Journal of Intelligent Learning Systems and Applications》 2013年第4期232-236,共5页
Current urban rail transit has become a major mode of transportation, and passenger is an important factor of urban rail transport, so this article is based on passenger and the degree of the road network structure, c... Current urban rail transit has become a major mode of transportation, and passenger is an important factor of urban rail transport, so this article is based on passenger and the degree of the road network structure, calculating the point intensity of stations of urban rail transit, and then reaching a station importance by integrating many point intensities in a survey cycle time, and getting the station importance of urban rail transit network through concrete examples. 展开更多
关键词 STATION IMPORTANCE Point INTENSITY passenger Urban rail transit Network
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Combination forecast for urban rail transit passenger flow based on fuzzy information granulation and CPSO-LS-SVM 被引量:3
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作者 TANG Min-an ZHANG Kai LIU Xing 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2018年第1期32-41,共10页
In order to obtain the trend of urban rail transit traffic flow and grasp the fluctuation range of passenger flow better,this paper proposes a combined forecasting model of passenger flow fluctuation range based on fu... In order to obtain the trend of urban rail transit traffic flow and grasp the fluctuation range of passenger flow better,this paper proposes a combined forecasting model of passenger flow fluctuation range based on fuzzy information granulation and least squares support vector machine(LS-SVM)optimized by chaos particle swarm optimization(CPSO).Due to the nonlinearity and fluctuation of the passenger flow,firstly,fuzzy information granulation is used to extract the valid data from the window according to the requirement.Secondly,CPSO that has strong global search ability is applied to optimize the parameters of the LS-SVM forecasting model.Finally,the combined model is used to forecast the fluctuation range of early peak passenger flow at Tiyu Xilu Station of Guangzhou Metro Line 3 in 2014,and the results are compared and analyzed with other models.Simulation results demonstrate that the combined forecasting model can effectively track the fluctuation of passenger flow,which provides an effective method for predicting the fluctuation range of short-term passenger flow in the future. 展开更多
关键词 urban rail transit passenger flow forecast least squares support vector machine(LS-SVM) fuzzy information granulation chaos particle swarm optimization(CPSO)
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The Research of Urban Rail Transit Sectional Passenger Flow Prediction Method 被引量:1
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作者 Qian Li Yong Qin +4 位作者 Ziyang Wang Zhongxin Zhao Minghui Zhan Yu Liu Zhiguo Li 《Journal of Intelligent Learning Systems and Applications》 2013年第4期227-231,共5页
This paper studies the short-term prediction methods of sectional passenger flow, and selects BP neural network combined with the characteristics of sectional passenger flow itself. With a case study, we design three ... This paper studies the short-term prediction methods of sectional passenger flow, and selects BP neural network combined with the characteristics of sectional passenger flow itself. With a case study, we design three different schemes. We use Matlab to realize the prediction of the sectional passenger flow of the Beijing subway Line 2 and make comparative analysis. The empirical research shows that combining data characteristics of sectional passenger flow with the BP neural network have good prediction accuracy. 展开更多
关键词 URBAN rail transit NEURAL Network Sectional passenger FLOW Prediction Method
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Short-term inbound rail transit passenger flow prediction based on BILSTM model and influence factor analysis
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作者 Qianru Qi Rongjun Cheng Hongxia Ge 《Digital Transportation and Safety》 2023年第1期12-22,共11页
Accurate and real-time passenger flow prediction of rail transit is an important part of intelligent transportation systems(ITS).According to previous studies,it is found that the prediction effect of a single model i... Accurate and real-time passenger flow prediction of rail transit is an important part of intelligent transportation systems(ITS).According to previous studies,it is found that the prediction effect of a single model is not good for datasets with large changes in passenger flow characteristics and the deep learning model with added influencing factors has better prediction accuracy.In order to provide persuasive passenger flow forecast data for ITS,a deep learning model considering the influencing factors is proposed in this paper.In view of the lack of objective analysis on the selection of influencing factors by predecessors,this paper uses analytic hierarchy processes(AHP)and one-way ANOVA analysis to scientifically select the factor of time characteristics,which classifies and gives weight to the hourly passenger flow through Duncan test.Then,combining the time weight,BILSTM based model considering the hourly travel characteristics factors is proposed.The model performance is verified through the inbound passenger flow of Ningbo rail transit.The proposed model is compared with many current mainstream deep learning algorithms,the effectiveness of the BILSTM model considering influencing factors is validated.Through comparison and analysis with various evaluation indicators and other deep learning models,the results show that the R2 score of the BILSTM model considering influencing factors reaches 0.968,and the MAE value of the BILSTM model without adding influencing factors decreases by 45.61%. 展开更多
关键词 rail transit passenger flow predict Time travel characteristics BILSTM Influence factor Deep learning model
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Estimating walking access area for rail transit station based on discrete choice model 被引量:1
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作者 Zhang Ning Shi Zhuangbin +1 位作者 Zhang Yunlong Zhang Xiaojun 《Journal of Southeast University(English Edition)》 EI CAS 2018年第3期377-385,共9页
The discrete choice model is used to estimate the walking access area of rail transit stations while considering the influence of existing competition from other traffic modes. The acceptable walking access area is de... The discrete choice model is used to estimate the walking access area of rail transit stations while considering the influence of existing competition from other traffic modes. The acceptable walking access area is determined according to the willingness of passengers to walk who prefer rail transit compared with bus and automobile. Empirical studies were conducted using the survey data of six stations from the rail transit in Nanjing, China. The results indicate that the rail transit is more preferable compared with bus and private automobile in this case when excluding the influence of individual and environmental factors. It is found that passengers tend to underestimate their willingness to walk. The acceptable walking access area of every rail transit station is different from each other. Suburban stations generally have a larger walking access area than downtown stations. In addition, a better walking environment and a scarcer surrounding traffic environment can also lead to a larger walking area. The model was confirmed to be effective and reasonable according to the model validation. This study can be of benefit to the passenger transportation demand estimation in the location planning and evaluation of rail transit stations. 展开更多
关键词 walking access area urban rail transit discretechoice model walking environment competing trafficmodes passenger transportation demand
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Last train timetable optimization for metro network to maximize the passenger accessibility over the end-of-service period 被引量:1
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作者 Fang Wen Yun Bai +2 位作者 Xin Zhang Yao Chen Ninghai Li 《Railway Sciences》 2023年第2期273-288,共16页
Purpose-This study aims to improve the passenger accessibility of passenger demands in the end-ofoperation period.Design/methodology/approach-A mixed integer nonlinear programming model for last train timetable optim... Purpose-This study aims to improve the passenger accessibility of passenger demands in the end-ofoperation period.Design/methodology/approach-A mixed integer nonlinear programming model for last train timetable optimization of the metro was proposed considering the constraints such as the maximum headway,the minimum headway and the latest end-of-operation time.The objective of the model is to maximize the number of reachable passengers in the end-of-operation period.A solution method based on a preset train service is proposed,which significantly reduces the variables of deciding train services in the original model and reformulates it into a mixed integer linear programming model.Findings-The results of the case study of Wuhan Metro show that the solution method can obtain highquality solutions in a shorter time;and the shorter the time interval of passenger flow data,the more obvious the advantage of solution speed;after optimization,the number of passengers reaching the destination among the passengers who need to take the last train during the end-of-operation period can be increased by 10%.Originality/value-Existing research results only consider the passengers who take the last train.Compared with previous research,considering the overall passenger demand during the end-of-operation period can make more passengers arrive at their destination.Appropriately delaying the end-of-operation time can increase the proportion of passengers who can reach the destination in the metro network,but due to the decrease in passenger demand,postponing the end-of-operation time has a bottleneck in increasing the proportion of passengers who can reach the destination. 展开更多
关键词 Urban rail transit Last train of metro Timetable optimization End-of-operation period passenger demand OD reachability
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National Standards for Urban Rail Transit
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作者 Chen Yanshen Qin Guodong Zhang Suyan 《China Standardization》 2008年第2期27-31,共5页
In this paper, we suggest the creation of passenger service standards for urban rail transit. We put forward standards suited for China's actual conditions, aimed at meeting an international level of service based... In this paper, we suggest the creation of passenger service standards for urban rail transit. We put forward standards suited for China's actual conditions, aimed at meeting an international level of service based on customer-oriented principles. 展开更多
关键词 Public transit Urban rail transit passenger service Service quality STANDARDS
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Analysis on Passenger Flow Characteristics of Subway Station Pedestrian Facilities
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作者 DONG Shunhui HU Hua 《International English Education Research》 2017年第3期20-22,共3页
It is possible to improve the service level of the new subway station by analysing the passenger flow characteristics and optimizing the design of the pedestrian facilities of a station. In this paper, through the inv... It is possible to improve the service level of the new subway station by analysing the passenger flow characteristics and optimizing the design of the pedestrian facilities of a station. In this paper, through the investigation of passenger flow status of different types of subway station on different sections, and analysis of the passenger flow characteristics of pedestrian facilities, such as station channels, stairs and escalators, some suggestions of pedestrian facilities parameters of the station design are put forward. 展开更多
关键词 rail transit subway station pedestrian facilities passenger flow characteristics
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Coupling analysis of passenger and train flows for a large-scale urban rail transit system 被引量:1
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作者 Ping ZHANG Xin YANG +3 位作者 Jianjun WU Huijun SUN Yun WEI Ziyou GAO 《Frontiers of Engineering Management》 CSCD 2023年第2期250-261,共12页
Coupling analysis of passenger and train flows is an important approach in evaluating and optimizing the operation efficiency of large-scale urban rail transit(URT)systems.This study proposes a passenger–train intera... Coupling analysis of passenger and train flows is an important approach in evaluating and optimizing the operation efficiency of large-scale urban rail transit(URT)systems.This study proposes a passenger–train interaction simulation approach to determine the coupling relationship between passenger and train flows.On the bases of time-varying origin–destination demand,train timetable,and network topology,the proposed approach can restore passenger behaviors in URT systems.Upstream priority,queuing process with first-in-first-serve principle,and capacity constraints are considered in the proposed simulation mechanism.This approach can also obtain each passenger’s complete travel chain,which can be used to analyze(including but not limited to)various indicators discussed in this research to effectively support train schedule optimization and capacity evaluation for urban rail managers.Lastly,the proposed model and its potential application are demonstrated via numerical experiments using real-world data from the Beijing URT system(i.e.,rail network with the world’s highest passenger ridership). 展开更多
关键词 urban rail transit coupling analysis passenger–train interaction large-scale simulation
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Optimization method of urban rail train operational plan based on O-D time-varying demand 被引量:1
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作者 Feng Shi Xian Tu Shuo Zhao 《Railway Sciences》 2022年第1期148-166,共19页
Purpose–Under the constraints of given passenger service level and coupling travel demand with train departure time,this study optimizes the train operational plan in an urban rail corridor to minimize the numbers of... Purpose–Under the constraints of given passenger service level and coupling travel demand with train departure time,this study optimizes the train operational plan in an urban rail corridor to minimize the numbers of train trips and rolling stocks considering the time-varying demand of urban rail passenger flow.Design/methodology/approach–The authors optimize the train operational plan in a special network layout,i.e.an urban rail corridor with dead-end terminal yard,by decomposing it into two sub-problems:train timetable optimization and rolling stock circulation optimization.As for train timetable optimization,the authors propose a schedule-based passenger flow assignment method,construct the corresponding timetabling optimization model and design the bi-directional coordinated sequential optimization algorithm.For the optimization of rolling stock circulation,the authors construct the corresponding optimization assignment model and adopt the Hungary algorithm for solving the model.Findings–The case study shows that the train operational plan developed by the study’s approach meets requirements on the passenger service quality and reduces the operational cost to the maximum by minimizing the numbers of train trips and rolling stocks.Originality/value–The example verifies the efficiency of the model and algorithm. 展开更多
关键词 Urban rail transit Train operational plan Time-varying passenger demand passenger assignment passenger service quality
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Real-Time Analysis and Prediction System for Rail Transit Passenger Flow Based on Deep Learning
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作者 Xujun Che Gang Cen +2 位作者 Shuhui Wu Jiaming Gu Keying Zhu 《国际计算机前沿大会会议论文集》 EI 2023年第2期130-138,共9页
With the rapid development of urban rail transit,rail transit plays an important role in alleviating city congestion.In recent years,with increasing pas-sengerflow,there has been huge pressure on passengerflow managemen... With the rapid development of urban rail transit,rail transit plays an important role in alleviating city congestion.In recent years,with increasing pas-sengerflow,there has been huge pressure on passengerflow management.To address this problem,we propose a novel system to provide real-time statistics and predictions of passengerflow based on big data technology and deep learning technology.Moreover,the passengerflow is visualized efficiently in this system.It can provide refined passengerflow information so that people can make more rational decisions in terms of operation and planning,deploy contingency plans to avoid emergency situations,and integrate passengerflow analysis with train production,scheduling and operation to achieve cost reduction and efficiency enhancement. 展开更多
关键词 rail transit passenger Flow Deep Learning Big Data
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2023年世界城市轨道交通运营统计与分析综述 被引量:7
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作者 韩宝明 余怡然 +8 位作者 习喆 孙亚洁 鲁放 李思苇 李卓一 黄思齐 胡江枫 桑雁翎 赵韵熙 《都市快轨交通》 北大核心 2024年第1期1-9,共9页
参考国际上较为通用的统计标准,将城市轨道交通分为地铁、轻轨和有轨电车三大类,对世界城轨交通运营现状进行统计。分析表明:截至2023年底,全球有79个国家和地区的563座城市开通了城市轨道交通系统,总里程超过43400.40 km,其中地铁、轻... 参考国际上较为通用的统计标准,将城市轨道交通分为地铁、轻轨和有轨电车三大类,对世界城轨交通运营现状进行统计。分析表明:截至2023年底,全球有79个国家和地区的563座城市开通了城市轨道交通系统,总里程超过43400.40 km,其中地铁、轻轨、有轨电车分别占50.07%、10.69%和39.24%;中国(含港澳台)累计有66座城市开通运营轨道交通,运营里程达11900.29 km,其中中国内地运营里程11232.65 km。2022年,全球59个国家的183座城市地铁累计运送乘客586.52亿人次,平均负荷强度0.81万人次/(km·d),其中中国(含港澳台)地铁年客流量为212.51亿人次。我国城市轨道交通持续稳步发展,线网规模和客流规模继续居全球第一。统计国务院52号文件发布后的中国轨道交通的线网规模数据,预测低运量城市轨道交通系统将在中国内地有较好的发展前景,特别是中西部地区,以促进城市绿色、可持续发展。同时,根据疫情前后全球主要国家(地区)和城市的客流数据,预计中国内地客流量将在2024—2025年恢复至疫情前水平。 展开更多
关键词 世界城市轨道交通 线网规模 客流量 统计分析 负荷强度 客流规模
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基于组合深度学习的轨道交通短时进站客流预测模型 被引量:4
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作者 李淑庆 李伟 +1 位作者 刘耀鸿 马波 《重庆交通大学学报(自然科学版)》 CAS CSCD 北大核心 2024年第2期92-99,共8页
针对轨道交通短时进站客流考虑不充分和特征学习不全面而导致预测精度不高的问题,选取客流特征、天气、空气质量和道路交通拥堵指数等多个因素,提出了一种基于组合深度学习的轨道交通短时进站客流预测模型(CNN-ResNet-BiLSTM)。基于卷... 针对轨道交通短时进站客流考虑不充分和特征学习不全面而导致预测精度不高的问题,选取客流特征、天气、空气质量和道路交通拥堵指数等多个因素,提出了一种基于组合深度学习的轨道交通短时进站客流预测模型(CNN-ResNet-BiLSTM)。基于卷积神经网络(CNN)对多因素客流时间序列进行自动提取,在CNN网络中插入多个残差神经网络(ResNet)来加深网络深度,利用双向长短时记忆神经网络(BiLSTM)捕捉前后两个方向的客流时间序列特征并得到预测结果;以杭州市全网80个站点工作日的进站客流为例,验证了该模型的有效性。研究结果表明:与常用的几种模型相比,多因素CNN-ResNet-BiLSTM组合模型的均方根误差(E RMS)至少降低了8.50%,平均绝对误差(E MA)至少降低了6.74%,平均绝对百分比误差(E MPA)至少降低了6.52%。 展开更多
关键词 交通工程 短时客流预测 组合深度学习 轨道进站客流
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基于迁移学习的轨道交通特殊OD客流预测研究 被引量:1
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作者 王欣 王志飞 王煜 《铁道运输与经济》 北大核心 2024年第3期182-188,共7页
客流预测一直是轨道交通运营公司关注的重点,由于受到运输能力的限制等因素影响,部分OD的实际客流数据与真实需求有偏差,出现异常或者样本缺失,从而造成总体样本量偏小,直接采用这些样本进行预测会明显影响预测精度,但通过还原样本值增... 客流预测一直是轨道交通运营公司关注的重点,由于受到运输能力的限制等因素影响,部分OD的实际客流数据与真实需求有偏差,出现异常或者样本缺失,从而造成总体样本量偏小,直接采用这些样本进行预测会明显影响预测精度,但通过还原样本值增加样本量难度太大。根据上述特点选择基于实例的迁移学习,先确定源域的对象和范围,从源域中选择合适的样本补充到总体样本中,共同组成最终的训练样本数据集,完成迁移学习。同时选择改进的Boost算法,通过误差调整样本权重,不断迭代,得到最终的预测模型。结果表明:基于实例的迁移学习结合改进Boost算法的预测精度要好于传统集成学习、ARIMA模型、多元回归模型,为轨道交通运营公司对特定OD的客流预测提供新的有益尝试。 展开更多
关键词 轨道交通 客流预测 改进Boost算法 迁移学习 样本筛选
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基于数据融合的城市轨道交通大客流预警研究 被引量:1
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作者 孙佩 武可心 《电子设计工程》 2024年第4期135-139,共5页
为了降低因节假日或突发时间导致的客流拥堵,促进客运部门快速应对客流波动,提出了一种基于数据融合的城市轨道交通大客流预警方法。通过对客流参数预测信息进行融合,获得符合实际客流瓶颈点的参数信息,以完成轨道交通大客流预警。提出... 为了降低因节假日或突发时间导致的客流拥堵,促进客运部门快速应对客流波动,提出了一种基于数据融合的城市轨道交通大客流预警方法。通过对客流参数预测信息进行融合,获得符合实际客流瓶颈点的参数信息,以完成轨道交通大客流预警。提出的方法利用动态贝叶斯网络,实现了历史数据与运输服务信息的融合。以城市假期期间五条线路每日客流量为例,通过对比实验验证了提出方法的有效性与准确性。 展开更多
关键词 数据融合 轨道交通 贝叶斯网络 数据分析 客流
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考虑动态随机客流的城市轨道交通列车时刻表仿真优化
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作者 张雨洁 闫海峰 +2 位作者 骆泳吉 朱蕾 施润宇 《铁道运输与经济》 北大核心 2024年第5期161-170,共10页
为更加精准刻画动态随机客流与列车时刻表编制间的复杂匹配过程,综合考虑乘客动态随机到达过程、列车容量限制、车内拥挤度对乘客上下车速率影响、停站时间动态调整和列车运行安全防护等重要运营特征,构建城市轨道交通列车运行离散仿真... 为更加精准刻画动态随机客流与列车时刻表编制间的复杂匹配过程,综合考虑乘客动态随机到达过程、列车容量限制、车内拥挤度对乘客上下车速率影响、停站时间动态调整和列车运行安全防护等重要运营特征,构建城市轨道交通列车运行离散仿真模型。在此基础上,建立以最小化乘客平均候车时间为目标的随机非线性优化模型,并设计一种基于仿真的有限差分随机逼近算法,用于优化城市轨道交通发车方案。以国内某条线路的实际运营数据为例验证仿真模型及优化方法,结果表明所构建模型及算法具有较好的优化效果和计算效率,优化后的列车实绩运行时刻能更好地适应客流需求的动态随机性,且在不增加发车频次的前提下有效降低乘客平均候车时间,提升城市轨道交通运营管理水平。 展开更多
关键词 城市轨道交通 动态随机客流 列车时刻表 系统仿真 有限差分算法
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基于多维可预知特征的TCN-LSTM城轨短期客流预测
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作者 赵利强 李瑞森 +2 位作者 唐水雄 唐金金 张涛 《北京化工大学学报(自然科学版)》 CAS CSCD 北大核心 2024年第5期86-96,共11页
地铁客流量波动受众多因素影响,准确的客流预测数据有利于制定更高效的行车控制方案和客流管控方案。为提高客流预测精度,提出一种基于多维可预知特征的时序卷积神经网络-长短期记忆神经网络模型(TCNLSTM)地铁短期客流预测方法。考虑外... 地铁客流量波动受众多因素影响,准确的客流预测数据有利于制定更高效的行车控制方案和客流管控方案。为提高客流预测精度,提出一种基于多维可预知特征的时序卷积神经网络-长短期记忆神经网络模型(TCNLSTM)地铁短期客流预测方法。考虑外部因素的影响,引入Spearman相关系数分析并提取日期、天气等可预知特征及其状态集,以提升预测精度,缩小特征空间,克服了冗余特征数据导致的模型过于复杂问题;通过融合时序卷积神经网络(TCN)提取的客流时间序列特征和可预知特征状态集构建了长短期记忆神经网络(LSTM)层输入,组合模型学习客流与外部影响因素的长短期依赖,从而实现常规日、节假日、不同天气等多场景下的短期客流预测。基于某西南城市地铁刷卡交易数据,对比差分整合移动平均自回归模型(ARIMA)、TCN、LSTM及TCN-LSTM模型的短期客流预测结果,得出组合模型的总体平均绝对误差(MAE)值比其他方法低27%~48%,均方误差(MSE)值低13%~35%,平均绝对百分比误差(MAPE)值低2.8%~6.7%,上述3项指标均表明TCN-LSTM模型的客流预测效果更好。此外,对比实验表明通过融入提取的可预知特征数据,TCN-LSTM模型在测试集上的预测误差评价指标明显降低,所提方法能有效提高地铁短期客流预测精度。 展开更多
关键词 城市轨道交通 客流预测 长短期记忆神经网络(LSTM) 时序卷积神经网络(TCN) Spearman相关系数
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城市轨道交通线网客流管控系统设计及实现
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作者 韩庆龙 姚向明 刘楠 《铁路计算机应用》 2024年第5期80-83,共4页
为提高轨道交通运营企业抵御大客流风险的能力,设计研发城市轨道交通线网客流管控系统。面向客流调度员的实际业务需求,设计管控方案管理、方案智能编制、方案预评估、方案后评估等4项核心功能,通过动态客流分配、客流控制算法等技术,... 为提高轨道交通运营企业抵御大客流风险的能力,设计研发城市轨道交通线网客流管控系统。面向客流调度员的实际业务需求,设计管控方案管理、方案智能编制、方案预评估、方案后评估等4项核心功能,通过动态客流分配、客流控制算法等技术,对线网级客流进行科学化、智能化、全流程管理。该系统已在北京地铁试点应用,应用表明,该系统弥补了既有经验式管理的不足,提高了客流安全风险防控水平,能够为智能化运营管理提供技术支持。 展开更多
关键词 城市轨道交通 客流管控 运营安全 协同管控 智能决策
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短时疾增客流下的轨道交通换乘空间应变研究
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作者 褚冬竹 董志凌 《地下空间与工程学报》 CSCD 北大核心 2024年第5期1401-1417,共17页
伴随着以通勤为目的的城市轨道公共交通使用人数的增加,高峰期轨道交通站点内出现的快速变化的、大流量的短时疾增客流使得换乘站点难以安全、稳定、有效地承载客流并满足客流换乘需要。本研究通过实地调研与借助Anylogic平台的仿真来... 伴随着以通勤为目的的城市轨道公共交通使用人数的增加,高峰期轨道交通站点内出现的快速变化的、大流量的短时疾增客流使得换乘站点难以安全、稳定、有效地承载客流并满足客流换乘需要。本研究通过实地调研与借助Anylogic平台的仿真来剖析短时疾增客流的特点及其对站内空间的作用效果,将现有的预制式、组装式、折叠式等应变技术或设备作为基础,提出建筑空间层面与站内设备设施层面的分类应变思路。建立应变应用场景与应变技术及措施的对应关系,并探究空间可变在动态优化地下轨道交通站内换乘空间方面的应用。研究成果可为未来既有轨道交通站点的优化设计提供参考。 展开更多
关键词 客流 轨道交通 换乘 应变 装配式建筑
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