scholarly journals Housing Vacancy Rate in Major Cities in China: Perspectives from Nighttime Light Data

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Zhiru Tan ◽  
Donglan Wei ◽  
Zixu Yin
Keyword(s):  
Data Center ◽  
Housing Prices ◽  
Vacancy Rate ◽  
Nighttime Light Data ◽  
Building Information ◽  
Nighttime Light ◽  
Vacancy Rates ◽  
Second Tier ◽  
Nighttime Light Imagery ◽  
Housing Vacancy

In recent years, the phenomenon of housing vacancy rate (HVR) has attracted considerable attention, especially concerning unjustified expansions of Chinese cities. The aforementioned trend is disadvantageous in that it will ultimately lead to tremendous wastage of valuable land that could otherwise be more productively utilized. Consequently, the methods for accurately determining the HVR are of great importance. Based on nighttime light data from the Luojia 1-01 nighttime light imagery provided by Wuhan University in June 2018 and the building data obtained from the Resources and Environmental Sciences Data Center, we estimated the HVRs of 49 cities in China by determining the building areas and considering the floor height. The results revealed that (1) the lowest (15%) and highest (24.3%) HVRs occur in Shenzhen and Nanning, respectively. (2) The urban HVR correlates positively with the three production structures (0.3143) but is significantly negatively correlated with population (0.3841), GDP (0.6139), and urban average housing prices (0.5083). (3) The first-tier, new first-tier, and second-tier cities showed the lowest (16.9%), relatively concentrated (20.5%), and highest (21.3%) average vacancy rates, respectively. (4) The vacancy rate is relatively low in the eastern coastal areas, whereas high in the northeast and western inland areas. The proposed method can help urban planners by identifying vacant areas and providing building information.

scholarly journals International Real Estate Review

2018 ◽  
Vol 21 (3) ◽  
pp. 397-418
Author(s):  
Chin-Oh Chang ◽  
◽  
Shu-Mei Chen ◽  
Keyword(s):  
Housing Market ◽  
Home Ownership ◽  
Housing Prices ◽  
Housing Price ◽  
Poor Quality ◽  
Housing Demand ◽  
Vacancy Rate ◽  
Income Ratio ◽  
Holding Cost ◽  
Housing Vacancy

This paper discusses the contradicting phenomenon of housing demand in Taiwan. First, an introduction is given on the three primary characteristics of the housing market in Taiwan, which are a high housing vacancy rate, high housing prices and high home ownership. Secondly, we explore the motivation and preferences behind housing purchase. Since the housing price-income ratio continues to increase, unaffordable housing prices cause households to suffer from poor quality of life. The issues of housing justice are highlighted. Recently, the demographics and social values have rapidly changed. Therefore, even if homebuyers face unaffordable housing prices, they still prefer to buy housing instead of renting due to the traditional cultural belief that ¡§to have land is to have wealth¡¨. This has resulted in the phenomenon with high home ownership rate yet high housing prices. On the other hand, the low holding cost of housing and imbalance in urban and rural development perpetuate the high housing vacancy rate in the housing market. This results in an unhealthy housing market and misallocation of resources. Finally, recommendations for related government policy making are made based on the findings.

scholarly journals Planar Block Adjustment for China’s Land Regions with LuoJia1-01 Nighttime Light Imagery

2019 ◽  
Vol 11 (18) ◽  
pp. 2097 ◽  
Author(s):  
Xin Li ◽  
Taoyang Wang ◽  
Guo Zhang ◽  
Boyang Jiang ◽  
Peng Jia ◽  
...  
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
High Sensitivity ◽  
Experimental Results ◽  
Mean Square ◽  
Ground Control Points ◽  
Nighttime Light Data ◽  
Nighttime Light ◽  
Nighttime Light Imagery

The Luojia1-01 satellite provides high-resolution, high-sensitivity nighttime light data at a resolution of 130 m. To effectively use the Luojia1-01 nighttime light data for global applications, the problems of relative and absolute positioning accuracy should be solved. This paper proposes a high accuracy regional geometric processing method of nighttime light imagery. We utilized a nighttime light image matching algorithm to obtain tie points, which are used in the planar block adjustment with ground control points. Then, orthorectification of all images is implemented. Finally, we obtain the nighttime light map of China by mosaicking all the nighttime light orthoimages. According to the experimental results for 275 Luojia1-01 images, the root mean square error of the tie points is 0.983 pixels and the root mean square error of independent checkpoints is 195.491 m (less than 1.5 pixels) after the planar block adjustment. The experimental results prove the validity and feasibility of the proposed method.

scholarly journals ESTIMATING HOUSING VACANCY RATE IN QINGDAO CITY WITH NPP-VIIRS NIGHTTIME LIGHT AND GEOGRAPHICAL NATIONAL CONDITIONS MONITORING DATA

2018 ◽  
Vol XLII-3 ◽  
pp. 1319-1326 ◽  
Author(s):  
X. Niu
Keyword(s):  
Population Distribution ◽  
Monitoring Data ◽  
Basic Unit ◽  
Distribution Data ◽  
Vacancy Rate ◽  
Rapid Urbanization ◽  
Nighttime Light ◽  
Qingdao City ◽  
The City ◽  
Housing Vacancy

Accompanying China's rapid urbanization in recent decades, especially in the new millennium, the housing problem has become one of the most important issues. The estimation and analysis of housing vacancy rate (HVR) can assist decision-making in solving this puzzle. It is particularly significant to government departments. This paper proposed a practical model for estimating the HVR in Qingdao city using NPP-VIIRS nighttime light composed data, Geographic National Conditions Monitoring data (GNCMD) and resident population distribution data. The main steps are: Firstly, pre-process the data, and finally forming a series of data sets with 500*500 grid as the basic unit; Secondly, select 400 grids of different types within the city as sample grids for SVM training, and establish a reasonable HVR model; Thirdly, using the model to estimate HVR in Qingdao and employing spatial statistical analysis methods to reveal the spatial differentiation pattern of HVR in this city; Finally test the accuracy of the model with two different methods. The results conclude that HVR in the southeastern coastal area of Qingdao city is relatively low and the low-low clusters distributed in patches. Simultaneously, in other regions it shows the tendency of the low value accumulation in the downtown area and the increasing trend towards the outer suburbs. Meanwhile the suburban and scenery regions by the side of the sea and mountains are likely to be the most vacant part of the city.

scholarly journals Evaluating Urbanization and Spatial-Temporal Pattern Using the DMSP/OLS Nighttime Light Data: A Case Study in Zhejiang Province

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Pengfei Xu ◽  
Pingbin Jin ◽  
Yangfan Yang ◽  
Quan Wang
Keyword(s):  
Rapid Development ◽  
Urban Expansion ◽  
Zhejiang Province ◽  
Effective Measure ◽  
Nighttime Light Data ◽  
Economic Statistics ◽  
Urban Planning And Development ◽  
Nighttime Light ◽  
High Level ◽  
Nighttime Light Imagery

The application of DMSP/OLS nighttime light data provides an effective measure for characterizing urbanization and its spatial-temporal changes. Combined with the social economic statistics and calibrated nighttime data, the nighttime light imagery of Zhejiang province was fully intercalibrated during the period 1992–2013. The backgrounds were explained and the model of region light index (RLI) was built to make further research. The methods of mutation detection, regression analysis, and spatial analysis were adopted in this study. The results show that the urbanization progress of Zhejiang experienced a transformation from rapid development to steady improvement and was accompanied by a changing direction of urban expansion from coastal to inland areas from 2000. Further research indicated that Zhejiang province possessed a relative high level of urbanization, where a spatial pattern of urbanization with one center and four axes was initially formed. It is a novel attempt to investigate the urbanization of Zhejiang province on the basis of the DMSP/OLS night-lighting data, which may provide a significant guideline for the urban planning and development.

scholarly journals Delineating the Urban Areas of a Cross-Boundary City with Open-Access Data: Guangzhou–Foshan, South China

2021 ◽  
Vol 13 (5) ◽  
pp. 2930
Author(s):  
Pengfei Ban ◽  
Wei Zhan ◽  
Qifeng Yuan ◽  
Xiaojian Li
Keyword(s):  
Urban Area ◽  
Urban Areas ◽  
City Size ◽  
Border City ◽  
Point Of Interest ◽  
Nighttime Light Data ◽  
Profile Line ◽  
Point Analysis ◽  
Nighttime Light ◽  
Single Data

Cities defined mainly from the administrative aspect can create impact and problems especially in the case of China. However, only a few researchers from China have attempted to identify urban areas from the morphology dimension. In addition, previous studies have been mostly based on the national and regional scales or a single prefecture city and have completely ignored cross-boundary cities. Defining urban areas on the basis of a single data type also has limitations. To address these problems, this study integrates point of interest and nighttime light data, applies the breaking point analysis method to determine the physical geographic scope of the Guangzhou–Foshan cross-border city, and then compares this city with Beijing and Shanghai. Results show that Guangzhou–Foshan comprises one core urban area and six suburban counties, among which the core urban area extends across the administrative boundaries of Guangzhou and Foshan. The urban area and average urban radius of Guangzhou–Foshan are larger than those of Beijing and Shanghai, and this finding contradicts the city size measurements based on the administrative division system of China and those published on traditional official statistical yearbooks. In terms of urban density value, Shanghai has the steepest profile followed by Guangzhou–Foshan and Beijing, and the profile line of Guangzhou–Foshan has a bimodal shape.

scholarly journals Industrial Wastewater Discharge Retrieval Based on Stable Nighttime Light Imagery in China from 1992 to 2010

2014 ◽  
Vol 6 (8) ◽  
pp. 7566-7579 ◽  
Author(s):  
Zhaofu Li ◽  
Hongyu Liu ◽  
Chuan Luo ◽  
Panpan Li ◽  
Hengpeng Li ◽  
...  
Keyword(s):  
Industrial Wastewater ◽  
Wastewater Discharge ◽  
Nighttime Light ◽  
Nighttime Light Imagery
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