Impacts of the Urban Rail Transit on the Real Estate Values

2014 ◽  
Vol 13 (5) ◽  
pp. 960-965
Author(s):  
Tang Hong ◽  
Wang Hong-Ping
Keyword(s):  
Real Estate ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
The Real ◽  
The Real Estate ◽  
Urban Rail

scholarly journals Study on the Influence of Urban Rail Transit on the Value of Real Estate Based on Information System

2015 ◽  
Vol 9 (1) ◽  
pp. 73-80
Author(s):  
Jiao Lichao
Keyword(s):  
Information System ◽  
Real Estate ◽  
Real Estate Market ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Market Information ◽  
The Real ◽  
The Real Estate ◽  
Urban Rail ◽  
The Impact

Urban rail transit has strong transportation capability, but little environmental pollution. Besides, it also saves land resource. These advantages make the urban rail transit gradually becomes an effective measure to solve city traffic problems. In order to analyze the impact of the scope and extent of urban rail transit on the real estate, this paper first introduces the composition of real estate market information system, explains the process of how the urban rail transit influences the value of real estate by taking the 1st project of line 1 of Zhengzhou urban rail transit in Henan province for example, finds the semi logarithmic model which has the best regression effects with three hedonic price models and the collected data from the real estate market information system, and finally works out the added value of real estate generated by the above urban rail transit.

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 the Impacts of Zhengzhou Urban Rail Transit to Residential Price

2011 ◽  
Vol 255-260 ◽  
pp. 4119-4122
Author(s):  
Hong Lei Zhao ◽  
Ji Peng Liu ◽  
Yan Fei Sun
Keyword(s):  
Real Estate ◽  
Traffic Congestion ◽  
Quantitative Data ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Important Method ◽  
The Real Estate ◽  
Real Estate Price ◽  
Urban Rail ◽  
Congestion Problems

Urban Rail Transit is an important method of reliving traffic congestion problems of large and medium-sized cities and at the same time brings an increase in real estate price. Based on the relative researches from overseas and China, this paper, taking residential price around the first-stage stations of Zhengzhou Metro Line 1 as the example, by qualitative analysis and quantitative analysis, reveals the different impacting regulations of the Zhengzhou Urban Rail Transit to the residential price along the route. Finally, this paper assesses the price increase of the buildings and obtains the quantitative data, which will be helpful reference to persons of Urban Rail Transit and the real estate business.

scholarly journals Passengers Flow Forecasting Model of Urban Rail Transit Based on the Macro-Factors

2012 ◽  
Vol 6-7 ◽  
pp. 688-693 ◽  
Author(s):  
Bin Shang ◽  
Xiao Ning Zhang
Keyword(s):  
Real Data ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Estimation Model ◽  
Population Total ◽  
Transit System ◽  
The Real ◽  
Passenger Flow ◽  
Urban Rail ◽  
Multiple Variables

In China, many cities are planning urban rail transit system, but a comprehensive passenger flow estimation model is still lacking. The total passenger flow of urban rail transit in a city depends on many factors, such as urban population, total length of rail lines, gross domestic production of the city etc. To estimate the total passenger flow of urban rail transit, a linear regression model with multiple variables is established in the paper, based on the real data collected in many cities with urban rail transit operating. The comparison of the estimated flow and the real flow in many cities shows that the model is very accurate in passenger flow forecasting.

scholarly journals Research and Application of Intelligent Monitoring System Platform for Safety Risk and Risk Investigation in Urban Rail Transit Engineering Construction

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yong Wu ◽  
Liang-Yun Zhao ◽  
Ye-Xiang Jiang ◽  
Wei Li ◽  
Ye-Sheng Wang ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Dual Control ◽  
Intelligent Monitoring ◽  
Safety Risk ◽  
Engineering Construction ◽  
The Real ◽  
Urban Rail

In recent years, the construction scale of urban rail transit project is still in a high growth stage. In addition, the geology and surrounding environment of crossing lines are complex, and all kinds of safety accidents are still in a high incidence stage. Based on the investigation and summary of safety risk events and their causes in urban rail transit engineering construction at home and abroad, this paper fully combines the current national security management policies, introduces the “dual control” concept of safety risk classification and hidden danger investigation, and develops the intelligent monitoring system platform for urban rail transit engineering construction based on advanced technologies such as intelligent Internet of Things, 3D visualization, and artificial intelligence. It realizes the intelligent collection and analysis of engineering field monitoring data, the dynamic early warning management of engineering risk sources, the process embedding “dual control” mechanism of safety risk and hidden danger investigation, the real-time supervision of large equipment operations such as shield and hoisting, and the real-time control of high-risk operation sections such as contact channels. At the same time, the traceability and assessment management of the safety supervision process are strengthened. The parties involved in the project can realize the synchronous sharing of information through the platform and improve the efficiency of on-site safety and quality control.

Mean-variance model for optimization of the timetable in urban rail transit systems

2017 ◽  
Vol 232 (4) ◽  
pp. 1005-1020
Author(s):  
Hui Yang ◽  
Xiang Li ◽  
Xin Yang
Keyword(s):  
Real Life ◽  
Urban Rail Transit ◽  
Data Driven ◽  
Rail Transit ◽  
Variance Model ◽  
The Real ◽  
Urban Rail ◽  
Mean Variance ◽  
Cooperative Scheduling ◽  
Operational Data

Regenerative braking is an energy-efficient technology that converts kinetic energy to electrical energy during braking phases. For more efficient recovered energy utilization, the stochastic cooperative scheduling approach has been proposed for determining the dwell times at stations, wherein the accelerating trains can use the energy recovered from the adjacent braking trains as much as possible. Here, running times at the sections are considered as random variables with given probability functions. In this paper, the authors develop a data-driven stochastic cooperative scheduling approach in which the real data of the speed of trains are recorded and used in the place of motion equations. First, the authors formulate a stochastic mean-variance model, which maximizes the expected utilization and minimizes the variance of the quantity of the recovered energy. Second, a genetic algorithm that utilizes particle swarm optimization has been designed to find the optimal dwell times at stations. Finally, numerical examples are presented based on the real-life operational data from Beijing Yizhuang urban rail transit line in China. The results illustrate that the real-life operational data in the data-driven stochastic cooperative scheduling approach can provide a more accurate description about the movement of trains, which would result in more efficient energy saving, i.e. by 1.66%, in comparison with the stochastic cooperative scheduling approach. Most importantly, the data-driven stochastic cooperative scheduling approach results in lower variance by 68.69% and higher robustness.

scholarly journals How Does Urban Rail Transit Influence Residential Property Values? Evidence from An Emerging Chinese Megacity

2019 ◽  
Vol 11 (2) ◽  
pp. 534 ◽  
Author(s):  
Dongfang Zhang ◽  
Jingjuan Jiao
Keyword(s):  
Real Estate ◽  
Positive Impact ◽  
Property Values ◽  
Urban Rail Transit ◽  
Residential Property ◽  
Rail Transit ◽  
Data Set ◽  
Real Estate Markets ◽  
Urban Rail ◽  
Residential Property Values

Urban rail transit (URT) plays crucial economic, social, and environmental roles and may generate positive externalities that can influence the residential property values (RPVs) in real estate markets. Little attention has been given to exploring the impacts with respect to both the spatial and temporal perspectives. This paper explores the impacts of URT on the RPVs of 480 gated communities with respect to the spatial and temporal dimensions using the hedonic price model and a panel data set from Zhengzhou for 2012–2016. The results show the following: (1) URT does have a significant positive impact on the RPVs in all the selected years from 2012 to 2016, and the influencing strength was a “U-shape” with the increased travel time to the nearest URT stations in most of the selected years. Specially, there is quite some interaction between the temporal and spatial dimensions. (2) The influencing strength of URT during its early stages of planning and construction was higher than that during the operation periods, which is quite different from previous research that uses these first-tier cities such as Beijing and Shanghai in China. (3) Regarding the operating period, the influencing strength reached its peak point after two years of the URT line operating. The results of this paper could provide some new ideas for policy-makers, real estate developers, and even the consumers in real estate markets.

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