A Framework for the Study of Integrated Design of Rail Transit and Urban Public Space

2013 ◽  
Vol 357-360 ◽  
pp. 1949-1952
Author(s):  
Ya Wei Zhang ◽  
Jun Li ◽  
Yang Yu
Keyword(s):  
Public Space ◽  
Influence Factors ◽  
Integrated Design ◽  
Urban Traffic ◽  
Rail Transit ◽  
Wuhan City ◽  
Urban Transit ◽  
Urban Public Space ◽  
Urban Rail ◽  
Planning And Construction

The planning and construction of urban transit often pay more attention to the needs of urban traffic, and less to the needs of urban public space, which lead to the contradiction between rail transit and urban public space. The paper develops a theoretical framework for the integrated design of rail transit and public space, based on the analysis of contradictions and problems between them. First, an integrated planning method is put forward in a macro level through analyzing the interaction between rail transit network and public space system. Second, the influence factors are identified by analyzing the relationship between urban transit nodes and public spaces in all types and levels. Thus the integrated solution and pattern of rail transit nodes and public space are developed in a micro level. Third, the conceptual pattern has been applied in Wuhan city as a study case, putting forward the strategies of the integrated design of urban rail and public space of Wuhan city.

Operation Organization at Urban Rail Transit Station under Large Passenger Flow

2012 ◽  
Vol 253-255 ◽  
pp. 1995-2000
Author(s):  
Qiao Mei Tang ◽  
Li Ping Shen ◽  
Xian Yong Tang
Keyword(s):  
Transport Process ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Common Condition ◽  
Urban Transit ◽  
Passenger Flow ◽  
Operation Process ◽  
Urban Rail ◽  
Transit Station ◽  
Transit Operation

large passenger flow is a common condition of urban transit operation, and the station bears the pressure of large passenger flow directly. This paper analyzes the reason for the appearance of large passenger flow and the characteristics of it, discusses the principles and methods that the station can apply under large passenger flow combined with the passenger’s transport process and the operation process.

Collaborative passenger flow control of urban rail transit network considering balanced distribution of passengers

2021 ◽  
pp. 2150461
Author(s):  
Xiang Li ◽  
Yan Bai ◽  
Kaixiong Su
Keyword(s):  
Flow Control ◽  
Programming Model ◽  
Flow Characteristics ◽  
Service Level ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Control Measures ◽  
Rail Transit ◽  
Passenger Flow ◽  
Urban Rail

The increase of urban traffic demands has directly affected some large cities that are now dealing with more serious urban rail transit congestion. In order to ensure the travel efficiency of passengers and improve the service level of urban rail transit, we proposed a multi-line collaborative passenger flow control model for urban rail transit networks. The model constructed here is based on passenger flow characteristics and congestion propagation rules. Considering the passenger demand constraints, as well as section transport and station capacity constraints, a linear programming model is established with the aim of minimizing total delayed time of passengers and minimizing control intensities at each station. The network constructed by Line 2, Line 6 and Line 8 of the Beijing metro is the study case used in this research to analyze control stations, control durations and control intensities. The results show that the number of delayed passengers is significantly reduced and the average flow control ratio is relatively balanced at each station, which indicates that the model can effectively relieve congestion and provide quantitative references for urban rail transit operators to come up with new and more effective passenger flow control measures.

scholarly journals Low-Carbon Impact of Urban Rail Transit Based on Passenger Demand Forecast in Baoji

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 782
Author(s):  
Na Zhang ◽  
Zijia Wang ◽  
Feng Chen ◽  
Jingni Song ◽  
Jianpo Wang ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Quantitative Research ◽  
Carbon Emission ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Low Carbon ◽  
Demand Forecast ◽  
Passenger Demand ◽  
Urban Rail

There are increasing traffic pollution issues in the process of urbanization in many countries; urban rail transit is low-carbon and widely regarded as an effective way to solve such problems. The passenger flow proportion of different transportation types is changing along with the adjustment of the urban traffic structure and a growing demand from passengers. The reduction of carbon emissions brought about by rail transit lacks specific quantitative research. Based on a travel survey of urban residents, this paper constructed a method of estimating carbon emissions from two different scenarios where rail transit is and is not available. This study uses the traditional four-stage model to forecast passenger volume demand at the city level and then obtains the basic target parameters for constructing the carbon emission reduction model, including the trip origin-destination (OD), mode, and corresponding distance range of different modes on the urban road network. This model was applied to Baoji, China, where urban rail transit will be available from 2023. It calculates the changes in carbon emission that rail transit can bring about and its impact on carbon emission reductions in Baoji in 2023.

Influence factors analysis of rail potential in urban rail transit

2018 ◽  
Vol 88-90 ◽  
pp. 1300-1304 ◽  
Author(s):  
Jingda Gu ◽  
Xiaofeng Yang ◽  
Trillion Q. Zheng
Keyword(s):  
Influence Factors ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Factors Analysis ◽  
Urban Rail

scholarly journals Integration of Microclimate into the Multi-Agent System Simulation in Urban Public Space

Smart Cities ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 421-432
Author(s):  
Xu ◽  
Tong ◽  
Xu
Keyword(s):  
Public Space ◽  
Human Behavior ◽  
Influence Factors ◽  
Multi Agent System ◽  
Thermal Perception ◽  
Agent System ◽  
Winter Solstice ◽  
Urban Public Space ◽  
Outdoor Spaces ◽  
Multi Agent

Urban public space is the main place for human outdoor activities. Simulating human behavior through the Multi-Agent System (MAS) is one of the most important methods for studying public space. However, most of the research on this topic is concerned with the way people behave and the connection to spatial layouts. It ignores the fact that in outdoor spaces, microclimate factors tend to have a more important impact on human behavior. In this study, microclimate factors were narrowed down into two main factors: outdoor thermal perception and sunshine perception. Both of these factors are integrated into the traditional MAS, together with visual perception as the influence factors of agent action. The new MAS was developed in Processing language and can dynamically and visually show agents activities in the space. Taking Gulou Square in Nanjing, China, as a case, the simulations were carried out with three typical meteorological days of spring equinox, summer solstice, and winter solstice. Through comparing the simulation results at different times, we found that the new MAS exhibits a significant impact of microclimate on human behavior. The new MAS can be used reasonably and effectively for the design and evaluation of urban public space.

Research on Walking Time of Transfer Pedestrians in Urban Rail Transit Station

2014 ◽  
Vol 610 ◽  
pp. 1053-1056 ◽  
Author(s):  
Jin Chu Zheng ◽  
Chang Xu Ji ◽  
Long Gao
Keyword(s):  
Traffic Congestion ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Statistical Point ◽  
Practical Applications ◽  
Urban Rail ◽  
Basic Work ◽  
Transit Station ◽  
Walking Time

The urban rail transport is the backbone of urban public transport. It alleviates urban traffic congestion and plays an important role. Survey and determination of the passenger walking time in urban rail transit station passages is the basic work to realize train coordination between lines and to reduce the passenger waiting time in transferring. The paper focuses on the passenger walking time on transfer pedestrians from the statistical point of view. Finally, Beijing Dongdan transfer station is selected as an example. This study has some practical applications.

A financing mode of Urban Rail transit based on land value capture: A case study in Wuhan City

2017 ◽  
Vol 57 ◽  
pp. 59-67 ◽  
Author(s):  
Jun Sun ◽  
Tian Chen ◽  
Zuchen Cheng ◽  
Cynthia C. Wang ◽  
Xin Ning
Keyword(s):  
Urban Rail Transit ◽  
Rail Transit ◽  
Land Value ◽  
Wuhan City ◽  
Value Capture ◽  
Financing Mode ◽  
Urban Rail

scholarly journals Short-term passenger flow forecast for urban rail transit based on multi-source data

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Wei Li ◽  
Liying Sui ◽  
Min Zhou ◽  
Hairong Dong
Keyword(s):  
Traffic Flow ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Support Vector ◽  
Rail Transit ◽  
Short Term ◽  
Passenger Flow ◽  
Flow Prediction ◽  
Urban Rail ◽  
Svm Model

AbstractShort-term passenger flow prediction in urban rail transit plays an important role because it in-forms decision-making on operation scheduling. However, passenger flow prediction is affected by many factors. This study uses the seasonal autoregressive integrated moving average model (SARIMA) and support vector machines (SVM) to establish a traffic flow prediction model. The model is built using intelligent data provided by a large-scale urban traffic flow warning system, such as accurate passenger flow data, collected using the Internet of things and sensor networks. The model proposed in this paper can adapt to the complexity, nonlinearity, and periodicity of passenger flow in urban rail transit. Test results on a Beijing traffic dataset show that the SARI-MA–SVM model can improve accuracy and reduce errors in traffic prediction. The obtained pre-diction fits well with the measured data. Therefore, the SARIMA–SVM model can fully charac-terize traffic variations and is suitable for passenger flow prediction.

Complexity Analysis of Beijing Urban Rail Transit Network

2014 ◽  
Vol 998-999 ◽  
pp. 1366-1369
Author(s):  
Xiao Han Li
Keyword(s):  
Path Length ◽  
Complexity Analysis ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Network ◽  
Urban Rail ◽  
Special Complex ◽  
Planning And Construction ◽  
Urban Rail Transit Network ◽  
Beijing Subway

Urban rail transit network is a special complex kind of network, The lines and nodes' layout determine the entire network's features. This paper analyzes the topologic properties, degree distribution, average path length and robustness of Beijing subway network by matlab and it also analyzes the evolution of Beijing subway network, which can be worked for the future development of urban subway network planning and construction.

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