Spatiotemporal Effects of Main Impact Factors on Residential Land Price in Major Cities of China

Yang, Sen; Hu, Shougeng; Li, Weidong; Zhang, Chuanrong; Torres, José Alfredo

doi:10.3390/su9112050

Cited by 32 publications

(27 citation statements)

References 63 publications

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“…Other indicators with a significant impact can be "GDP", "unemployment", and "number of started flats". It partially corresponds to the results of Yang [12], where the influence of immigrant population, GDP, and investment in residential buildings were observed. However, the influence of "net income per capita" is not significant for land price changes in Olomouc as compared to results that were obtained by Mou [10] in his analysis, which also includes the influence of average wages of employees on land price in selected cities.…”

Section: Discussionsupporting

confidence: 85%

“…This is one of the main reasons why land price sustainability issues have been previously addressed by other authors (e.g., [2,3]). The research centres on issues linked to land price volatility [4,5], inflation [3], structure [6], changes [7][8][9], and factors influencing land price [1,[10][11][12]. An estimation of the effect of environmental factors on the real estate prices caused by environmental change has been analysed in the research of Del Giudice and Massimo [13,14].…”

Section: Land Price Sustainabilitymentioning

confidence: 99%

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Spatio-Temporal Changes and Dependencies of Land Prices: A Case Study of the City of Olomouc

et al. 2018

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Land price sustainability issues have been addressed by many authors in the past. Most of these researchers used land prices (from land price maps) as the primary data source in their studies. Only a few papers analysed official land price maps, which are available very rarely. For this reason, we studied the spatial and temporal changes of land prices in the city of Olomouc based in an analysis of official land price maps from 1993 to 2017. We proposed several research hypotheses to confirm some general statements about land price changes. We concluded that some economic indicators had a significant impact on changes in land prices. In the residential and commercial areas and historical centre, land prices are significantly higher than in other monitored aspects (land-use types). We also concluded that no link existed between land-use stability and land price stability. Surprisingly, no long-term stable areas were found in the area of interest. The analysis also confirmed that land price and its change over time varied in different spatial aspects. Unexpectedly, the smallest influence was reflected in the economic aspect. Regarding natural events in recent decades, we observed a significant drop in land prices in the vicinity of watercourses threatened by flooding. These findings can assist in better understanding local development and changes in land price. The results of this study can help in gaining better understanding of economic, social, and environmental aspects of sustainability of land price changes.

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Section: Discussionsupporting

confidence: 85%

Section: Land Price Sustainabilitymentioning

confidence: 99%

Spatio-Temporal Changes and Dependencies of Land Prices: A Case Study of the City of Olomouc

et al. 2018

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“…Among other things, in the paper [24] GWR model has been adopted for analyzing the housing market in the city of Potenza (Basilicata, southern Italy), in order to identify homogeneous areas and to define the marginal contribution that a single location (outlined by these areas) gives to the market value of the property. Spatiotemporal effects of main impact factors on residential land price in major cities of China have been the topic of research [25]. In this study, it has been provided a perspective analysis of the changes of residential land prices in 2008, 2011 and 2014 based on the land price monitoring records of 105 cities and then conducted a geographically weighted regression (GWR) analysis on the relationships between residential land price and three major impact factors (i.e., immigrant population, gross domestic product (GDP) and investment in residential buildings).…”

Section: Theoretical Basic Of Conducted Researchmentioning

confidence: 99%

Impact of a Vicinity of Airport on the Prices of Single-Family Houses with the Use of Geospatial Analysis

Cellmer

Bełej

Konowalczuk

2019

IJGI

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This article analyses the adverse impact of Chopin Airport in Warsaw on the prices of single-family houses located within the aircraft noise impact zone. The specific feature of the largest airport in Poland is its location within the city limits and the resulting direct surroundings of both multi-and single-family housing developments. Not only is the nuisance due to the proximity of the airport resulting from the actual exposure to an excessive noise level but also from legal restrictions associated with the Limited Use Area (LUA). The study used statistical modeling by applying a classic multiple regression model, spatial autoregressive model and geographically weighted regression model. Moreover, Geographical Information System (GIS) tools and geostatic modeling were used to visualise the results. The modeling results clearly show the significant impact of the neighborhood nuisance and the related spatial distribution of real estate prices. In addition, the geographically weighted regression model indicates that the proximity to an airport adversely affects the rate of price changes over time.

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“…China's urbanization rate has increased from 17.92% in 1978 to 57.35% in 2016 [1], which was also accompanied by massive housing developments and continuous growth of urban traffic pressure [2][3][4][5][6]. The gated housing block has also been developed in this background and has become the dominant residential form in China.…”

Section: General Context and Its Peculiaritiesmentioning

confidence: 99%

Comparing Characteristics of Environmental Behaviors and Spatial Types in Open and Gated Housing Blocks: A Case Study of Changchun, China

2018

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Physical characteristics of residential areas affect many aspects of living sustainability, including the environmental behavior of residents. Based on the policy issued in China in 2016, the guideline of transforming existing gated housing blocks into open mode is being gradually implemented in some cities. However, the transforming of boundary walls and internal roads has changed the living environment such as the open space that residents have been accustomed to and has affected environmental behaviors correspondingly. From perspectives of spatial types and environmental behaviors, this research compared an open housing block (which is reconstructed from gated one) with a comparable original gated housing block. The Behavior Mapping Method was used to capture environmental behaviors in two housing blocks; factor analysis and cluster analysis were used to extract spatial characteristics and classify spatial types; and finally differences between the open housing block and the gated housing block were shown by comparing the distribution of environmental behaviors in each space type. The results indicate that the presence or absence of the enclosing walls affects the division of space types and environmental behaviors in housing blocks. For gated housing blocks, spaces with strong privacy attract various types of activities, which are overwhelming in categories and the number of people, while in the open housing blocks, this situation is not as obvious as in the former.

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Spatiotemporal Effects of Main Impact Factors on Residential Land Price in Major Cities of China

Cited by 32 publications

References 63 publications

Spatio-Temporal Changes and Dependencies of Land Prices: A Case Study of the City of Olomouc

Spatio-Temporal Changes and Dependencies of Land Prices: A Case Study of the City of Olomouc

Impact of a Vicinity of Airport on the Prices of Single-Family Houses with the Use of Geospatial Analysis

Comparing Characteristics of Environmental Behaviors and Spatial Types in Open and Gated Housing Blocks: A Case Study of Changchun, China

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