遥感技术与应用 2020, Vol. 35 Issue (4): 820-831 DOI: 10.11873/j.issn.1004-0323.2020.4.0820 |
甘肃遥感学会专栏 |
|
|
|
|
基于遥感和微博签到数据的住房空置空间识别 |
贺蕾1(),潘竟虎1(),董磊磊2 |
1.西北师范大学 地理与环境科学学院,甘肃 兰州 730070 2.中国科学院西北生态环境资源研究院 中国科学院黑河遥感试验研究站,甘肃省遥感重点实验室,甘肃 兰州 730000 |
|
Study on the Spatial Identification of Housing Vacancy |
Lei He1(),Jinghu Pan1(),Leilei Dong2 |
1.College of Geography and Environmental Sciences, Northwest Normal University, Lanzhou 730070,China 2.Key Laboratory of Remote Sensing in Gansu Province,Heihe Remote Sensing Experimental Research Station, Chinese Academy of Sciences,Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences,Lanzhou 730000,China |
1 |
Xi Jinping. Secure a Decisive Victory in Building a Moderately Prosperous Society in All Respect and Strive for the Great Success of Socialism with Chinese Characteristics for a New Ear[M]. Beijing: People's Publishing House, 2017.习近平. 决胜全面建成小康社会,夺取新时代中国特色社会主义伟大胜利[M]. 北京:人民出版社,2017.
|
2 |
Wang Chunmeng, Gu Renxu. Research on the Path to Achieve “Urban and Industrial Integration” of Kangbashi[J]. Chinese Journal of Population, Resources and Environment, 2014, 24(11): 287-290.
|
2 |
王春萌, 谷人旭. 康巴什新区实现“产城融合”的路径研究[J]. 中国人口·资源与环境, 2014, 24(11): 287-290.
|
3 |
Shepard W. Ghost Cities of China[M]. London: Zed Books, 2015.
|
4 |
Liang Qian. Ministry of Land: Urbanization Scale Should be Controlled by "Land Use Limit"[N]. Economic Information Daily, 2013-04-30(1).梁倩. 国土部: 应以“用地极限”控制城镇化规模[N]. 经济参考报, 2013-04-30(1).
|
5 |
Zhu Jianhong. Ministry of Construction: China will Improve Housing Vacancy Statistic[N]. The People's Daily, 2003-09-19(2).朱剑红. 建设部: 我国将改进房屋空置统计方法[N]. 人民日报, 2003-09-19(2).
|
6 |
Vakili-Zad C, Hoekstra J. High Dwelling Vacancy Rate and High Prices of Housing in Malta, A Mediterranean Phenomenon[J]. Journal of Housing & the Built Environment, 2011, 26(4): 441-455. doi:10.1007/s10901-011-9232-y.
doi: 10.1007/s10901-011-9232-y
|
7 |
Gabriel S A, Nothaft F E. Rental Housing Markets and the Natural Vacancy Rate[J]. Real Estate Economics, 2010, 16(4): 419-429. doi: 10.1111/1540-6229.00465.
doi: 10.1111/1540-6229.00465
|
8 |
Dipasquale D, Wheaton W C. Urban Economics and Real Estate Markets[M]. Englewood: Prentice Hall, 1996.
|
9 |
Chen Yang.Summary of Domestic and Foreign Research on Housing Vacanc[J]. Information of Economics and Law, 2015(2): 57-64.
|
9 |
陈洋. 国内外住宅空置问题研究综述[J]. 财经政法资讯, 2015(2): 57-64.
|
10 |
Zhao Fengjun, Wang Xianzhu. International Experience and Preliminary Estimation of Urban Housing Vacancy Rate Statistic[J]. Modern Economic Research, 2011(9): 18-22.
|
10 |
赵奉军, 王先柱. 城市住房空置率统计的国际经验与初步估计[J]. 现代经济探讨, 2011(9): 18-22.
|
11 |
Nie Xiangyu, Liu Xinjing. Types of “Ghost Towns” in the Process of Urbanization and Countermeasures[J]. Journal of Nantong University: Social Sciences Edition, 2013, 29(4): 111-117.
|
11 |
聂翔宇, 刘新静. 城市化进程中“鬼城”的类型分析及其治理研究[J]. 南通大学学报: 社会科学版, 2013, 29(4): 111-117.
|
12 |
Gao Wei, Gao Meiling. Exploration on the Formation Reasons and Types of "Ghost City" in China[J]. Rural Economy and Science,2016, 27(22): 184-184.
|
12 |
高卫, 高美玲. 我国“鬼城”形成原因和类型探索[J]. 农村经济与科技, 2016, 27(22): 184-184.
|
13 |
Xiao P, Wang X, Feng X, et al. Detecting China's Urban Expansion over the Past Three Decades Using Nighttime Light Data[J]. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2014, 7(10): 4095-4106. doi: 10.1109/jstars.2014.2302855.
doi: 10.1109/jstars.2014.2302855
|
14 |
Chi G, Liu Y, Wu Z, et al. Ghost Cities Analysis based on Positioning Data in China[J]. Computer Science, 2015, 68(12): 1150-1156.
|
15 |
Zheng Q, Ying Z, Deng J, et al. “Ghost Cities” Identification Using Multi-source Remote Sensing Datasets: A Case Study in Yangtze River Delta[J]. Applied Geography, 2017, 80: 112-121. doi: 10.1016/j.apgeog.2017.02.004.
doi: 10.1016/j.apgeog.2017.02.004
|
16 |
Niu X. Estimating Housing Vacancy Rate in Qingdao City with NPP-VIIRS Nighttime Light and Geographical National Conditions Monitoring Data[C]∥ The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3. doi: 10.5194/isprs-archives-XLII-3-1319-2018.
doi: 10.5194/isprs-archives-XLII-3-1319-2018
|
17 |
Lu H, Zhang C, Liu G, et al. Mapping China’s Ghost Cities through the Combination of Nighttime Satellite Data and Daytime Satellite Data[J]. Remote Sensing, 2018, 10(7): 1037. doi: 10.3390/rs10071037.
doi: 10.3390/rs10071037
|
18 |
Chen Z, Yu B, Hu Y, et al. Estimating House Vacancy Rate in Metropolitan Areas Using NPP-VIIRS Nighttime Light Composite Data[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2015, 8(5): 2188-2197. doi: 10.1109/jstars.2015.2418201.
doi: 10.1109/jstars.2015.2418201
|
19 |
Chen Zuoqi. A Multiscale Analysis on Urban Area and Spatial Structure based on Nighttime Light Data[D]. Shanghai: East China Normal University, 2017: 81-85.
|
19 |
陈佐旗. 基于多源夜间灯光遥感影像的多尺度城市空间形态结构分析[D]. 上海:华东师范大学, 2017: 81-85.
|
20 |
Zhang Yongnian, Pan Jinhu. Spatio-temporal Simulation and Differentiation Pattern of Carbon Emissions in China based on DMSP/OLS Nighttime Light Data[J]. China Environmental Science, 2019, 39(4): 1436-1446.
|
20 |
张永年, 潘竟虎. 基于DMSP/OLS数据的中国碳排放时空模拟与分异格局[J]. 中国环境科学, 2019, 39(4): 1436-1446.
|
21 |
Yu Le, Wang Jie, Li Xuecao, et al. A Multi-resolution Global Land Cover Dataset through Multisource Data Aggregation[J]. Scientia Sinica Terrae, 2014, 44(8): 1646-1660.
|
21 |
俞乐, 王杰, 李雪草, 等. 基于多源数据集成的多分辨率全球地表覆盖制图[J]. 中国科学: 地球科学, 2014, 44(8): 1646-1660.
|
22 |
Dong Leilei, Pan Jinhu, Feng Yaya, et al. Spatial Difference Pattern of House Vacancy in China from Nighttime Light View[J]. Economic Geograph,2017, 37(9): 62-69.
|
22 |
董磊磊, 潘竟虎, 冯娅娅, 等. 基于夜间灯光的中国房屋空置的空间分异格局[J]. 经济地理, 2017, 37(9): 62-69.
|
23 |
Letu H, Hara M, Yagi H, et al. Estimating Energy Consumption from Night-time DMPS/OLS Imagery after Correcting for Saturation Effects[J]. International Journal of Remote Sensing,2010,31(16):4443-4458.doi:10.1080/014311609032 77464.
doi: 10.1080/014311609032 77464
|
24 |
Shi X. Selection of Bandwidth Type and Adjustment Side in Kernel Density Estimation over Inhomogeneous Backgrounds[J].International Journal of Geographical Information Science,2010,24(5):643-660.doi:10.1080/136588109029 50625.
doi: 10.1080/136588109029 50625
|
25 |
Anant R, Sunita J, Jalal A S, et al. A Density based Algorithm for Discovering Ddensity Varied Clusters in Large Spatial Databases[J]. International Journal of Computer Applications, 2011, 3(6): 1-4. doi: 10.5120/739-1038.
doi: 10.5120/739-1038
|
26 |
Liu Tao, Cao Guangzhong. Determinants of City Size of China: Development, Government and Location[J]. Resources Science,2011, 33(8): 1570-1577.
|
26 |
刘涛, 曹广忠. 中国城市用地规模的影响因素分析——以2005年县级及以上城市为例[J]. 资源科学,2011, 33(8):1570-1577.
|
27 |
Gong Yanhao, Zhen Feng, Xi Guangliang. Spatial Pattern of Focus and Response of the Belt and Road Initiative Empirical Analysis of Sina Micro-blog[J]. Areal Research and Development, 2018, 37(2): 29-35.
|
27 |
龚言浩, 甄峰, 席广亮. “一带一路”倡议关注与响应的空间格局——基于新浪微博数据的分析[J]. 地域研究与开发, 2018, 37(2): 29-35.
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|