scholarly journals Study on land-use rail transit stations based on TOD theory

2020 ◽  
Author(s):  
Xin Li ◽  
◽  
Chunxi Zhu ◽  
Yujia Zhong ◽  
◽  
...  
Keyword(s):  
Rapid Development ◽  
Land Development ◽  
Current Situation ◽  
Urban Traffic ◽  
Urban Transport ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Commercial Space ◽  
Urban Rail ◽  
Residential Space

With the rapid development of Beijing's economy and society and the continuous expansion of urban space. In this regard, the government proposes to vigorously develop public transport, especially to increase the construction of rail transit network to solve urban transport problems. Transit-oriented development（TOD ）mode is a land development mode dominated by rail transit. Through the mixed use of land, a good walking environment is established, so as to achieve the coordination of transportation and space. This paper analyses the current situation and problems of Beijing's urban rail transit development, and concludes Beijing's urban traffic problems. Based on the study of TOD mode and in-depth study of the theory of urban rail transit construction and the experience of rail transit construction at home and abroad, This paper summarizes the current situation of the traffic space, residential space, commercial space and recreational space around the west entrance of Qinghua East Road of Beijing Metro, and puts forward the redesign of the traffic space, residential space, commercial space and recreational space. I hope that the analysis of Wudaokou metro station under TOD mode can provide reference for others to do TOD theory for urban rail transit station planning.

scholarly journals Problems and Countermeasures of Urban Rail Transit Construction in China

2020 ◽  
Vol 6 (2) ◽  
pp. 30
Author(s):  
Jingzhi Guo
Keyword(s):  
Traffic Congestion ◽  
Rapid Development ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Planning ◽  
Transit System ◽  
Financing Mode ◽  
Urban Rail ◽  
Investment And Financing

In the 21st century, the over dependence on cars in China’s urban development has led to a series of problems, which have seriously affected the development of contemporary cities. The problem of communication has become the bottleneck of the development of many cities in China. Therefore, the rise of urban rail transit is an inevitable trend. The construction and development of rail transit is an effective way to solve urban diseases, such as traffic congestion, traffic pollution, poor green travel environment and difficult parking. In the period of great development opportunity of rail transit, it is necessary to discuss how to scientifically plan urban rail transit system, promote urban intensive development and improve urban traffic conditions. Combined with the current situation of rapid development of urban rail transit in China, this article analyzes the main problems existing in the development of urban rail transit at present, and puts forward the guiding ideology and main countermeasures for the development of urban rail transit in the future: do what you can and develop steadily to effectively avoid the hidden dangers brought about by blind development; further strengthen the scientific nature of urban rail transit planning and maintain the seriousness of planning; further improve the investment and financing mode of urban rail transit. Some suggestions are also put forward for the key problems to be solved in the near future.

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.

Mechanism Analysis of the Impact on Chinese Urban Rail Transit Construction on the Surrounding Real Estate Prices

2012 ◽  
Vol 178-181 ◽  
pp. 1866-1869
Author(s):  
Jian Liang Lv ◽  
Ying Jiang
Keyword(s):  
Real Estate ◽  
Land Development ◽  
Value Added ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Mechanism Analysis ◽  
The Real Estate ◽  
Urban Rail ◽  
Real Estate Prices ◽  
The Impact

This paper first studies the real estate prices and and its effecting factors, and point out the construction of urban rail transit effects large on its surrounding real estate prices. Then, the paper clarifies the theoretical basis of its effects, and finally analyzes mechanism that construction of rail transit can make its surrounding real estate value-added. The urban rail transit construction can improve surrounding property accessibility, the residents travel convenient, increasing the intense of land development, changing nature of land use, adjusting industrial layout, accelerating expanded urbanized areas, raising employment opportunities, promoting socio-economic prosperity and development. It provides reference for the reasonable allocation of late-stage value-added benefits, and people can get a comprehensive and systematic understanding of the impact of urban rail transit construction and its surrounding real estate prices.

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.

scholarly journals Exploratory Data Analysis and Data Envelopment Analysis of Urban Rail Transit

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1270
Author(s):  
Guillermo L. Taboada ◽  
Liangxiu Han
Keyword(s):  
Data Envelopment Analysis ◽  
Open Data ◽  
Urban Transport ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Data Envelopment ◽  
Urban Rail ◽  
Exploratory Data ◽  
Transport For London ◽  
Occupancy Rates

This paper deals with the efficiency and sustainability of urban rail transit (URT) using exploratory data analytics (EDA) and data envelopment analysis (DEA). The first stage of the proposed methodology is EDA with already available indicators (e.g., the number of stations and passengers), and suggested indicators (e.g., weekly frequencies, link occupancy rates, and CO2 footprint per journey) to directly characterize the efficiency and sustainability of this transport mode. The second stage is to assess the efficiency of URT with two original models, based on a thorough selection of input and output variables, which is one of the key contributions of EDA to this methodology. The first model compares URT against other urban transport modes, applicable to route personalization, and the second scores the efficiency of URT lines. The main outcome of this paper is the proposed methodology, which has been experimentally validated using open data from the Transport for London (TfL) URT network and additional sources.

Design for Urban Rail Transit Energy Efficiency Management System

2013 ◽  
Vol 749 ◽  
pp. 629-633
Author(s):  
Jian Bin Ye ◽  
Zhi Yan Ding ◽  
Qi Zhu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Management System ◽  
Rapid Development ◽  
Chinese Economy ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Service Architecture ◽  
Urban Rail ◽  
Emission Reduction Strategies

With the rapid development of Chinese economy and the speeding up urbanization, urban rail transit has entered a rapid development period, which results in more and more energy consumption. Meanwhile affected by energy source and environment factors, the state has implemented energy-saving emission reduction strategies in various fields, so energy efficient management for urban rail transit becomes more important. Based on the analysis of energy consumption problems in urban rail transit, the paper designs urban rail transit energy efficiency management system from the aspects of overall architecture, service architecture and application function, and provides technical support for the realization of the software system.

Adaptive Spectrum Management of Cognitive Radio in Intelligent Transportation System

2015 ◽  
Vol 743 ◽  
pp. 765-773 ◽  
Author(s):  
Cheng Wu ◽  
Y.M. Wang ◽  
Xiang Qiang ◽  
Z.Y. Zhang
Keyword(s):  
Cognitive Radio ◽  
Ad Hoc ◽  
Intelligent Transportation System ◽  
Environmental Changes ◽  
Rapid Development ◽  
Spectrum Management ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Value Functions ◽  
Urban Rail

With the rapid development of urban rail transit, the demand of the public in rail transportationto take real-time, reliable and efficient wireless access services, has become the focus of mobilebroadband communications. Wireless cognitive radio (CR) over urban rail transit is a newly emergingparadigm that attempts to opportunistically transmit in licensed frequencies, without affecting the preassignedusers of these bands. To enable this functionality, such a radio must predict its operationalparameters, such as transmit power and spectrum. These tasks, collectively called spectrum management,is difficult to achieve in a dynamic distributed environment, in which CR users may only takelocal decisions, and react to the environmental changes. In this paper, we propose a reinforcementlearning based approach for spectrum management. Our approach uses value functions to evaluate thedesirability of choosing different transmission parameters, and enables efficient assignment of spectrumsand transmit powers by maximizing long-term reward. We then investigate various real-worldscenarios, and compare the communication performance using different sets of learning parameters.The results proves our reinforcement learning based spectrum management can significantly reduceinterference to licensed users, while maintaining a high probability of successful transmissions in acognitive radio ad hoc network.

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