Quantitative research on the increase of residential price alongside the urban rail transit cased studies in Zhengzhou metro line 1

2011 ◽  
Author(s):  
Zhao Honglei ◽  
Sun Yanfei
Keyword(s):  
Quantitative Research ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Urban Rail

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.

Diagnosing urban rail transit vehicles with FMEA and fuzzy set

2015 ◽  
Vol 21 (3) ◽  
pp. 332-345
Author(s):  
Wei Zhu ◽  
Chen-yu Li ◽  
Xiao-yan Xiao ◽  
Wen-bin Xu
Keyword(s):  
Fuzzy Set ◽  
Quantitative Research ◽  
Rapid Development ◽  
Theory And Practice ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Maintenance Strategy ◽  
Content Type ◽  
Initial Application ◽  
Urban Rail

Purpose – The purpose of this paper is to develop an effective treatment to analyze and diagnose urban rail transit (URT) vehicle maintenance strategy. Design/methodology/approach – In this paper, the technique of Failure Mode and Effects Analysis (FMEA) is introduced into the examination of URT trains, first. Then the method of fuzzy-set-based assessment for FMEA is presented, which is the quantitative tool of Fuzzy-Set-based treatment for FMEA in analysis and diagnoses to URT maintenance strategy. Moreover, recommendations for further improvement of the proposed approach are also provided. Initial application into the vehicle maintenance of Shanghai URT System shows, that the proposed approach has a good performance and consequently is worth further development. Findings – The paper presents a FMEA and fuzzy-set-based theoretical approach for analyzing and diagnosing current methods in URT vehicle maintenance strategy. Practical implications – With rapid development of URT systems in the world especially in those highly populated areas, much more attentions are turning to researches on URT maintenance, nevertheless, few quantitative research achievement are mentioned or applied. This paper is a tentative attempt at introducing fuzzy-set theory into quantitative analysis and diagnoses of URT maintenance strategy. Originality/value – The study in this paper is helpful in theory and practice of URT maintenance and its methodology could be further applied into a broad family of facility group or system in other engineering fields.

Influence of Built Environment on Urban Rail Transit Connection Mode

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Zhao Gao ◽  
Min Yang ◽  
Guoqiang Li ◽  
Jinghua Tai
Keyword(s):  
Built Environment ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Urban Rail

Study on Improvement of Urban Rail Transit Access Based on Pareto-IPA Model

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Yucheng Wang ◽  
Mo Chen ◽  
Zhi Dong ◽  
Liang Tian ◽  
Kuo Guan ◽  
...  
Keyword(s):  
Urban Rail Transit ◽  
Rail Transit ◽  
Urban Rail
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