housing vacancy
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2022 ◽  
Vol 14 (2) ◽  
pp. 922
Author(s):  
Jaekyung Lee ◽  
Galen Newman ◽  
Changyeon Lee

Urban shrinkage is a critical issue in local small- and medium-sized cities in Korea. While there have been several studies to analyze the causes and consequences of vacancy increases, most have only focused on socioeconomic associations at larger scale and failed to consider individual housing level characteristics, primarily due to a lack of appropriate data. Based on data including 52,400 individual parcels, this study analyzes the primary contributors to vacant properties and their spatial distribution through a multilevel model design based on data for each parcel. Then, we identify areas at high risk of vacancy in the future to provide evidence to establish policies for improving the local environment. Results indicate that construction year, building structure, and road access conditions have a significant effect on vacant properties at the individual parcel level, and the presence of schools and hypermarket within 500 m are found to decrease vacant properties. Further, prediction outcomes show that the aged city center and areas with strict regulations on land use are expected to have a higher vacancy rate. These findings are used to provide a set of data-based revitalization strategies through the development of a vacancy prediction model.


2021 ◽  
pp. 107808742110650
Author(s):  
Victoria Morckel ◽  
Noah Durst

We highlight the use of a newer method—emerging hot spot analysis of space-time cubes from defined locations—for examining the spread of housing vacancy in large, Ohio MSAs. Using this method, we discovered that many Ohio MSAs concurrently experienced spread, contraction, and vacancy stabilization in census tracts located adjacent to, or within close proximity of, one another. These results indicate that vacancy proliferation is not solely a matter of geographic determinism, whereby high vacancy in one tract predicts high vacancy in neighboring tracts in future years. We also found that vacancy spread at the tract level is associated with population dynamics at the neighborhood, city, and MSA levels. Our findings suggest that vacancy reduction initiatives should account for population trends at various geographic scales, not just physical conditions within a particular neighborhood or tract.


2021 ◽  
Vol 5 (6) ◽  
pp. 49-54
Author(s):  
Xiaoli Yue ◽  
Yang Wang ◽  
Hong’ou Zhang

In this paper, nine indicators selected from three perspectives (convenience, environmental and location characteristics) and three regression models (OLS, SLM and SEM) are used to explore the influencing factors of housing sales vacancy in the Guangzhou Metropolitan Area, China. The results show that subway accessibility, peripheral aversion municipal facilities and distance from the CBD (Central Business District) are consistent with theoretical expectations. Subway accessibility is negatively correlated with the housing sales vacancy rates, while peripheral aversion municipal facilities and distance from the CBD are positively correlated with housing vacancy rates.


2021 ◽  
Vol 5 (6) ◽  
pp. 47-51
Author(s):  
Xiaoli Yue ◽  
Yang Wang ◽  
Yabo Zhao ◽  
Hong’ou Zhang

Housing vacancy can reflect the destocking degree of the real estate market. Based on the data of 57 opened residential quarters (46,622 units) from 2015 to 2018, this paper constructs a calculation formula of the sales vacancy rate and then analyzes the spatial pattern in Guangzhou’s urban district. The results show that there is obvious differentiation in the spatial pattern of housing sales vacancy in Guangzhou’s urban district, showing a higher spatial pattern in the old area and urban district and a lower spatial pattern in the core area. Subdistricts with high vacancy rates are mainly located in the east of the old area, the south and east of the urban district and near Baiyun Mountain in the north.


2021 ◽  
Vol 13 (7) ◽  
pp. 3783
Author(s):  
Liyuan Zhao ◽  
Xingping Wang

With the rapid development of industrialization and urbanization, rural housing vacancy (RHV) has become an increasingly universal phenomenon in China, causing many economic and social problems. Despite many studies on RHV, relatively little attention has been paid to distinguishing the types of vacant rural houses as well as RHV in metropolitan suburbs. Drawing upon survey data from 23 sampled villages of the Nanjing metropolitan area in China, this paper differentiates RHV into permanent vacancy and temporary vacancy and analyzes the influences of location, government interventions, and the villages’ characteristics on the two types of RHV. The empirical results show that villages located in inner suburbs and with medium travel time to city centers have higher permanent RHV rates, while those located further away from city centers usually have higher temporary RHV rates. The local government’s restrictive plans and housing construction restrictions do not increase the permanent RHV rate nor temporary RHV rate, whereas supportive plans and financial investment reduce the permanent RHV rate and increase the temporary RHV rate. Permanent RHV rates are relatively lower in villages that are less reliant on agricultural development. Those villages usually have higher sublet rates of farmland, a lower proportion of agriculture laborers, and better development of manufacturing or tourism. However, temporary RHV rates do not differ significantly between agricultural villages and non-agricultural villages. The paper finds an unusual “middle bump” phenomenon of permanent RHV rate and explains it with the law of commuting circles. Some policy implications are put forward to promote the transformation and sustainable development of rural areas in China’s metropolitan suburbs.


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