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

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1330
Author(s):  
Pengyu Ren ◽  
Zhaoji Li ◽  
Weiguang Cai ◽  
Lina Ran ◽  
Lei Gan

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.

2012 ◽  
Vol 178-181 ◽  
pp. 1866-1869
Author(s):  
Jian Liang Lv ◽  
Ying Jiang

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.


2021 ◽  
Vol 14 (1) ◽  
pp. 563-582
Author(s):  
Wenbin Tang ◽  
Qingbin Cui ◽  
Feilian Zhang ◽  
Hongyan Yan

Accurate evaluation of land value-added benefit brought by urban rail transit (URT) is critical for project investment decision making and value capture strategy development. Early studies have focused on the value impact strength under the assumption of the same impact range for all stations. However, the value impact range at different stations may vary owing to different accessibilities. Therefore, the present study releases this assumption and incorporates the changed impact range into the land value-added analysis. It presents a method to determine the range of land value-added impact and sample selection using the generalized transportation cost model, then spatial econometric models are further developed to estimate the impact strength. On the basis of these models, the entire value-added benefit brought by URT is evaluated. A case study of the Changsha Metro Line 2 in China is discussed to demonstrate the procedure, model, and analysis of spatial impact. The empirical analysis shows a dumbbell-shaped impact on the land value-added benefit along the transit line with a distance-dependent pattern at each station. In addition, the land value-added benefit from Changsha Metro Line 2 reached 12.099 billion USD. Lastly, two main value-added benefit capture modes are discussed, namely, land integration development and special land tax.


2015 ◽  
Vol 9 (1) ◽  
pp. 73-80
Author(s):  
Jiao Lichao

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.


2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Lin Zhang

In order to investigate the intrinsic relationship between residence choice and urban rail transit, this paper establishes a housing valuation model, explores the interface link between the rail transit and other transport modes by the establishment of a model, and also obtains the family transportation impedance. According to the balanced housing price, the various districts’ hedonic cost, and the generalized transportation impedance, the attractiveness of the various districts with respect to each mobile home is obtained. Satisfaction of any resident is received by establishing a close degree model. Due to the satisfaction and the price, we construct a largest consumer surplus model and then obtain the residence of the greatest consumer surplus for mobile home. Numerical example’s result indicates that all high-income mobile homes will chose the residence for the commute destination district, especially the one in the suburbs. Furthermore, the low-income families chose the residence for the commute destination district, which has the rail transit if the income is allowed, or the nearest district to the destination with rail transportation if not. This illustrates that whether a road having urban rail transit plays a significant impact only on the low-income family residence choice when the commuter routes pass through the road and almost has no influence for other families. Hence, it is shown that the reasonable urban planning is important and that urban rail transit should form a network that will play a key role.


Author(s):  
Billie Ann Brotman

The Game of Thrones television program was widely seen throughout the world. The show acted as an advertisement for travel and home purchases in the Republic of Croatia. A hedonic least squares regression model adjusted for autocorrelation is used to consider the impact of the television show, tourist visits to the country and domestic personal income on the housing price index. The descriptive statistics and regression results suggest that the television show and tourism impact existing housing prices. Visitors to the country purchased or rented enough housing to cause demand to increase for residential properties which results in a higher housing price index. Per capita domestic income is not a significant factor influencing the housing price index for existing dwellings.


2020 ◽  
Vol 12 (19) ◽  
pp. 8275
Author(s):  
Hyejin Lee ◽  
Byoungkil Lee ◽  
Sangkyeong Lee

Natural landscape views have positive sides, such as providing restorative effects to urban residents, and negative sides, such as deepening wealth inequality. Previous studies have mainly focused on the positives and rarely on the negatives. From this perspective, this study aimed to analyze the unequal impact of natural landscape views on housing prices for apartments in Seoul. We proposed a visual perception model to analyze natural landscape views and, based on a hedonic price model, we used ordinary least squares and quantile regression to estimate the marginal impacts on housing prices. The results show that: (1) natural landscape views had positive impacts on housing prices, but their impacts did not reach the level of structural and locational characteristics such as apartment area and the distance to subway stations; (2) natural landscape views had different marginal impacts by housing price range and, in particular, had much higher value-added effects on higher-priced apartments, meaning that if old apartment complexes are redeveloped into high-rise ones, the improvement in natural landscape views generates great profit for apartment owners and intensifies wealth inequality; (3) the geographic information system-based visual perception model effectively quantified the natural landscape views of wide areas and is thus applicable for the rigorous analysis of various landscape views.


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