Accessibility and the evaluation of investments on the Beijing subway by Haibing Jiang, David M Levinson

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Resilience Assessment of Beijing Subway Lines under Extreme Precipitation Weather by Yun Wei, Jingyu Liang, Yongxin Deng, Fei Dou, Yao Ning, Dong Zhou, Jie Liu

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Understanding Daily Travel Patterns of Subway Users – An Example from the Beijing Subway by Hainan Huang, Jian Rong, Pengfei Lin, Jiancheng Weng

“…The data-mining procedure is applied to a large weekly sample from the Beijing Subway to understand DTPs. The results show that more than 93% SUs of the Beijing Subway travel in 7 DTPs, which are remarkably stable in share and distribution. …”
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Weighted Complex Network Analysis of the Difference Between Nodal Centralities of the Beijing Subway System by Ruiyong Tong, Qi Xu, Runbin Wei, Junsheng Huang, Zhongsheng Xiao

“…In this paper, we apply a two-layered model to identify the most central stations in the Beijing Subway System, in which the lower layer is the physical infrastruc-ture and the upper layer represents the passenger flows. …”
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The Effective Use of the Piston Effect, Natural Cold Sources, and Energy Saving in Beijing Subways by Zhenzhen Li, Chao Chen, Song Pan, Le Yan, Kang Li

“…To solve this problem, this paper describes the environment of a subway station in Beijing subway line no. 2 from July to September, 2011, and uses numerical methods to quantitatively analyze and evaluate the contributions of the subway piston effect and natural outdoor cold sources to energy saving in the air-conditioning system and improvement of the subway environment. …”
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A BIM-based identification and classification method of environmental risks in the design of Beijing subway by Mingke Zhou, Yuegang Tang, Huai Jin, Bo Zhang, Xuewen Sang

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A Bayesian Network Modeling for Departure Time Choice: A Case Study of Beijing Subway by Xian Li, Haiying Li, Xinyue Xu

“…A real-world case study of Beijing subway is illustrated, which proves that the proposed model has higher prediction accuracy than typical discrete choice models. …”
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Design and Verification of Safety Monitoring Device for Emergency Braking of Beijing Subway Capital Airport Line Vehicles by Gongde XU, Ao LIU, Meng GAI, Fayun MA, Feng MIAO, Lei CUI

“…[Objective] To reduce friction brake wear and ensure emergency braking performance under electric braking, a safety monitoring device based on a two-stage emergency braking control is installed on Beijing Subway Airport Line vehicles to manage the emergency braking process. …”
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A Key Station Identification Method for Urban Rail Transit: A Case Study of Beijing Subway by Shiwei Sun, Haiying Li, Xinyue Xu

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How Does Rail Transit Affect the Spatial Differentiation of Urban Residential Prices? A Case Study of Beijing Subway by Dehui Shi, Meichen Fu

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An Improved Multi-Sensor MTI Time-Series Fusion Method to Monitor the Subsidence of Beijing Subway Network during the Past 15 Years by Li Duan, Huili Gong, Beibei Chen, Chaofan Zhou, Kunchao Lei, Mingliang Gao, Hairuo Yu, Qun Cao, Jin Cao

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Ground Deformation Associated with Deep Excavations in Beijing, China by Shu Li, Chenhe Ge, Pengfei Li, Meng Yang

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Mechanical response and parametric analysis of a deep excavation structure overlying an existing subway station: A case study of the Beijing subway station expansion by Jianyong Han, Jianyong Han, Jun Wang, Cheng Cheng, Chaozhe Zhang, Erbin Liang, Zhikang Wang, Jae-Joon Song, Jae-Joon Song, Junsu Leem

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Flood Risk Assessment of Subway Systems in Metropolitan Areas under Land Subsidence Scenario: A Case Study of Beijing by Guangpeng Wang, Yong Liu, Ziying Hu, Guoming Zhang, Jifu Liu, Yanli Lyu, Yu Gu, Xichen Huang, Qingyan Zhang, Lianyou Liu

“…The proposed method was used to evaluate the flood risk of the Beijing subway system. The results show that the flood risks of the Beijing subway show a ring-like distribution pattern—risk levels decreasing from the central urban area to the suburbs. …”
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Scheduling overnight trains for improving both last and first train services in an urban subway network by Yuqiang Wang, Yuguang Wei, Qi Zhang, Hua Shi, Pan Shang

“…Finally, we adopt Beijing Subway Network as a practical case study. The results show that both the number of failed transfer passengers for last train service and the passenger transfer waiting time for first train service decrease significantly if the operators can schedule the overnight trains in Beijing Subway Network according to the optimization results of the proposed model.…”
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Research on the Complex Characteristics of Urban Subway Network and the Identification Method of Key Lines by Yilei Pan, Mengying Chang, Shumin Feng, Dongsheng Hao

“…The concept of the “line importance index” is proposed to identify the key lines in the Beijing subway network. The network is characterized by scale-free and small-world characteristics under Space P, and scale-free network characteristics but no small-world characteristics under Space L and Space C. …”
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Directional Signage Location Optimization of Subway Station Based on Big Data by Qun Tu, Zhenji Zhang, Qianqian Zhang

“…In this paper, we use big data to analyze the problem of signages in Beijing subway, and propose the optimization model of signages in subway stations based on particle swarm optimization algorithm. …”
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Proactive resilience building through route diversity: a close look at the metro system from the travelers’ perspective by Xu, Y, Chan, H-Y, Chen, A, Ni, Y-Q

“…We consider route diversity (i.e., the numbers of alternative routes for all origin–destination (OD) pairs) as a measure of the network’s capability to accommodate route choice behavioral change and look for potential proactive travelers from the spatial distribution of OD pairs with alternative routes in the Beijing subway network. We further investigate how proactive resilience can be built by choosing alternative routes with the least extra time cost.…”

The modeling of attraction characteristics regarding passenger flow in urban rail transit network based on field theory. by Man Li, Yanhui Wang, Limin Jia

“…Regarding the computation of potential energy, Compound Simpson's Rule Formula is applied to get a solution to the function. Taking No. 10 Beijing Subway as a practical example, an analysis of simulation and verification is conducted, and the results shows in the following ways. …”
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Real-time energy-saving metro train rescheduling with primary delay identification. by Hangfei Huang, Keping Li, Paul Schonfeld

“…Then, based on the infrastructure data of Beijing Subway Line 4 of China, case studies are presented to demonstrate the effectiveness and efficiency of the solution approach. …”
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