Impact Of Urban Rail Transit Research Articles

Analysis of Low-Carbon, Energy-Saving, and Emission Reduction Models Based on Rail Transit

It is difficult to define scientific applicability conditions when dealing with different evaluation objects and scope. This article is based on multi-source big data such as the Automatic Fare Collection System (AFC) of urban rail transit, comprehensively considering the multidimensional impact of urban rail transit on the urban transportation system, and conducting a quantitative analysis of the energy-saving and emission reduction effects of urban rail transit. This study adopts a traffic emission model based on specific driving forces and a traffic demand prediction model, coupling the model and data to establish an urban rail transit energy conservation and emission reduction evaluation model suitable for different urban rail transit setting scenarios. Finally, this study selected six districts in Beijing as model application cases and used a combination of RP (display preference) survey and SP (state preference) survey to complete model parameter calibration for application cases.

The non-linear impact of urban rail transit on commercial property prices: Based on a spatial heterogeneity perspective

Urban rail transit (URT) can boost population and business agglomeration, and increase premiums for surrounding properties. Commercial properties with an operational nature typically gain higher premiums and have the potential to capture value. However, the relationship between URT and commercial property price (CPP) has not been fully explored. Therefore, this paper takes Shanghai as an example, based on URT travel data, property sales information, and other multi-source geographic data, comprehensively analyses the intrinsic mechanism of URTs affecting CPPs. The results confirm that URTs have a significant positive effect on CPPs, but the degree of impact varies in the presence of spatial heterogeneity and submarket effects. On the urban scale, the effect increases and then decreases as one moves away from the CBD; at the station area scale, URTs have a non-linear step-decreasing effect on CPPs. Furthermore, the premium that URTs can generate is limited and subject to multiple constraints in terms of location, built environment, residents' travel habits and expectations. The findings can provide a reference for formulating value capture policy, planning URT routes, and enhancing urban economic vitality.

The Externality Impact of Urban Rail Transit on Urban Real Estate Prices in China

China has the largest and fastest growing urban rail transit system in the world. The system plays an important role in China's urbanization process, city governance and residents' daily commutes. The development of urban rail transit (URT) has influenced China's urban spatial structure and real estate supply, and has produced externalities on real estate value, including both positive and negative externalities. The research shows a positive correlation between URT and China’s real estate prices in general. The closer rail transit systems are, the greater the premium on real estate prices. In addition, the impact of rail transit on real estate prices shows a trend of first increasing and then decreasing. Different land use types and urban areas will also be affected. The research also found that the three stages of URT construction: planning, engineering construction and traffic operation have different effects on housing prices. At the same time, the impact of URT on land price will also change with China's economic situation and urbanization process. These influencing mechanisms above between URT and real estate prices may be linked to some factors. This research attempts to explain it by introducing urban spatial and land rent transformation, changes in real estate supply and demand, gentrification process, and different employment and housing pattern. This research points out the shortcomings and possible research directions of existing studies. In order to provide a reference for academic research and government policy making.

A Synthesis of Research on the Impact of Urban Rail Transit on the Price of Commercial Residences Along the Line

While urban rail transit relieves traffic pressure and improves the urban transportation network, it also has a certain impact on the prices of commercial residential properties along the line, and more and more scholars have begun to pay attention to the relationship between rail transit and real estate prices. By sorting out the relevant domestic and foreign research, the existing research results are analyzed from three aspects: research objects, research methods, and research contents, and it is found that Hedonic Price Model is most commonly adopted, and the research in the fields of spatial effect, temporal effect and sub-market effect of rail transit on real estate prices is gradually becoming a hot spot.

The impact of new metro on travel behavior: Panel analysis using mobile phone data

The impact of urban rail transit on changes in various travel behavior outcomes has long been debated. However, few studies have used large-scale panel data to investigate how urban rail transit affects travel behavior. In the case of the new metros in Shenzhen, China, we constructed a four-wave panel of 7,799 residents across two years by using mobile phone data. We used a treatment–control group research design and a difference-in-differences analysis to evaluate the impact of the new metros on travel behavior in catchment areas of 0–1, 1–2, and 2–3 km, respectively. The results show that the appearance of the new metros increased the metro trips and activity space for the residents living in the 0–3 km range, but only increased total trip frequency and distance for the residents living in the 0–1 km range. New metro trips mainly replaced bike, e-bike, and bus trips, and slowed the growth trend of car trips. The findings help planners and policymakers better understand the impact of urban rail transit on the residents’ mobilities.

Heterogeneity Analysis of Urban Rail Transit on Housing with Different Price Levels: A Case Study of Chengdu, China

The impact of urban rail transit on housing prices has attracted the extensive attention of scholars, but few studies have explored the heterogeneous impact of rail transit on housing prices with different price levels. To solve this problem, we adopted the hedonic price model based on ordinary least squares regression as a supplementary method of quantile regression to study the heterogeneous impact of the Chengdu Metro system on low-, middle-, and high-priced housing. The result shows that the housing price rises first, then falls with the distance from the housing to the nearest subway station. Besides, the influence of transportation accessibility on low-, middle-, and high-priced housing decreases progressively. This research can provide a reference for the government’s transportation planning and decision-making.

Research on the Impact of Urban Rail Transit on the Financing Constraints of Enterprises from the Perspective of Sustainability

Urban rail transit (URT) is closely related to the sustainable development of the city. In addition to the traffic improvements, it also brings social and economic benefits. From the perspective of sustainability, we discuss the effect of urban rail transit on financing constraints of companies listed on the China A-share stock market (A-share, common stocks issued by companies registered in China for domestic institutions, organizations or individuals to subscribe and trade in RMB) and further explore whether the level of financial development has an effect on the above relationship. The results show that: (1) Financing constraints are common among sample enterprises, and the later the opening year of urban rail transit, the greater the degree of financing constraints; (2) The development of urban rail transit is beneficial to alleviate the level of financing constraints of listed companies, and this mitigating effect mainly exists in the samples with high relevance to urban rail transit; (3) The higher the level of financial development, the smaller the degree of corporate financing constraints; (4) Financial development may influence the relationship between financing constraints and urban rail transit. With the improvement of the financial development level, the alleviating effect of urban rail transit on corporate financing constraints is less pronounced. This study gives some references to improve the financing constraints of listed companies and for promoting the sustainable development of urban rail transit.

The Impact of Urban Rail Transit on Industrial Agglomeration Based on the Intermediary Effects of Factor Agglomeration

Urban rail transit is an important form of infrastructure for a city or even a country. This paper uses location entropy to measure the industrial agglomeration level of cities at the prefecture level or above in China from 2006 to 2018 and empirically tests the mechanisms of urban rail transit construction, factor agglomeration, and industrial agglomeration. The empirical results show the following: (1) the construction of urban rail transit infrastructure has a significant positive effect on the agglomeration of the labor force, capital, and technological innovation; (2) urban rail transit construction effectively induces agglomeration in the urban manufacturing industry and consumer service industry; and (3) the impact of urban rail transit construction on agglomeration in the urban manufacturing industry and consumer services industry is primarily due to the intermediary effects of factor agglomeration. The results show that gradually improving the urban rail transit network, strengthening the construction of comprehensive rail transit hubs, and optimizing capital allocation within urban rail transit allow for the full utilization of urban rail transit construction in promoting industrial agglomeration.

Study on the Impact of Urban Rail Transit on Tourism Economy in Guangdong Based on Urban Functional Network Model

Urban rail transit is a new type of rail transit, between railway and urban rail transit, mainly used to solve the traffic problems between cities. By using the urban functional network model, this paper analyzes the complementary coefficient changes of Guangzhou, Zhuhai and Macao before and after the completion of urban rail transit in Guangdong Province. Through quantitative data, it intuitively shows the objective changes brought by urban rail transit to urban planning and development, and also brings development space for urban tourism economy, and deepens the economic ties between cities.

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

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.

Impact of Urban Rail Transit on Business Districts Based on Time Distance: Urumqi Light Rail

AbstractBased on metacartography, this study establishes a model to convert the time distance of taking light rail to the spatial distance in meters. On this basis, this study uses the spatial tran...

The impact of urban rail transit on commercial property value: New evidence from Wuhan, China

The interaction between rail transit and the urban property market is a vital foundation for planning transit-based policy such as Value Capture and Transit Oriented Development (TOD). Yet only few studies have reported the impact of transit access on commercial property value. This paper presents empirical evidence from Wuhan, China, to enrich the knowledge in the subject area. Spatial autoregressive models were employed to estimate the commercial value capture, based on 676 observations along Wuhan’s metro rail line through the main business districts. Value appreciation was discovered within the 400m radius of road network distance from Metro stations. The transit access premiums present as two tiers: 16.7% for the 0–100m core area and approximately 8.0% within the 100–400m radius. The result demonstrates the potential benefit of adopting value capture and optimising TOD planning to support sustainable urban rail transit investment. Amid rapid urbanisation in China, the evidence reported here could help better inform cities, across the developing world and beyond, of the benefits of adopting rail transit-based policy.

Impact of Urban Rail Transit on Residential Property Values in Hangzhou

This research investigates the impact of the first metro line (Line 1) in Hangzhou on its station-area residential property values. A hedonic pricing model shows that Line 1 had a statistically significant and positive effect on residential prices in its operation period. Compared with its construction phase, the impact did not change significantly, indicating that metro rail transit had a long-term positive influence on the station-area property values. These findings suggest that such capitalization is likely to lead to high-density and transportation-oriented development. While planning the urban rail transit system, such impact should be fully considered.

Urban rapid rail transit and gentrification in Canadian urban centres: A survival analysis approach

Despite the existing knowledge that urban rapid rail transit has many effects on surrounding areas, and despite some attempts to understand the links between transit and gentrification, there remain methodological gaps in the research. This study addresses the relationship between the implementation of urban rapid rail transit and gentrification, which is conceived of as an event. As such, an event analysis approach using ‘survival analysis’ is adopted as the statistical analytical tool. It tests whether proximity to rail transit is related to the onset of gentrification in census tracts in Canada’s largest cities. It is found that proximity to rail transit, and to other gentrifying census tracts, have a statistically significant effect on gentrification in two of the three cities analysed. By providing a methodological framework for the empirical analysis of the impact of urban rail transit on gentrification, this paper is a reference for both researchers and transportation planners.

The Impact of Urban Rail Transit on Surrounding Residential Prices--Line 1 of Chengdu Metro as an Example

This article aims to build a hedonic price model of the research region by making a summary of relevant research in this field, and taking the running Line 1 of Chengdu Metro as an example. To be specific, the research discusses the influence of Line 1 of Chengdu Metro on surrounding residential prices taking samples of the estates within 2 km of Line 1 within a spatiotemporal perspective. The results shows that: after the operation of Line 1 (from July in 2010 to June in 2011), the growth rate of the residential prices has been increased by 5.89%, 9.44%, 12.45% and 11.03% from 1st ring to the third ring respectively, reaching at an average rising rate of 9.51%. Besides, the residential prices far away from the downtown area were more likely to be found ahead than those around the city center and represented a far more sensitivity to the metro operation. By quantitative calculating, it finds that: regions that are closer to subway stations per meter from 1st ring to the third, the residential prices increased 0.91 Yuan/m2, 1.16 Yuan/m2 and 1.21 Yuan/m2, respectively. At the same time, Line 1 of Chengdu Metro has been increased a total number of 7.814 billion Yuan up to now of surrounding residential value.

The Division of Labor is Limited by the Extent of the Market

The Division of Labor is Limited by the Extent of the Market