The “ghost neighborhood” phenomenon in China—geographic locations and intra-urban spatial patterns
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[1] Matthew E. Kahn,et al. “Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive? , 2021, Regional Science and Urban Economics.
[2] Jingwei Shen,et al. Evaluation of ghost cities based on spatial clustering: a case study of Chongqing, China , 2021, Arabian Journal of Geosciences.
[3] Xianjin Huang,et al. Measuring the spatial hierarchical urban system in China in reference to the Central Place Theory , 2020 .
[4] Min Zhou,et al. Comparisons of three‐dimensional urban forms in different urban expansion types: 58 sample cities in China , 2020 .
[5] B. Fu,et al. Geographical transformations of urban sprawl: Exploring the spatial heterogeneity across cities in China 1992–2015 , 2020 .
[6] Lu Zhang,et al. What is the developmental level of outlying expansion patches? A study of 275 Chinese cities using geographical big data , 2020 .
[7] Xianjin Huang,et al. Urbanization that hides in the dark – Spotting China’s “ghost neighborhoods” from space , 2020 .
[8] B. Shaw,et al. The peri-urbanization of Europe: A systematic review of a multifaceted process , 2020, Landscape and Urban Planning.
[9] Conferencia de las Naciones Unidas sobre Comercio y Desarrollo. World Economic Situation and Prospects 2020 , 2020, World Economic Situation and Prospects (WESP).
[10] Sarah Williams,et al. Ghost cities of China: Identifying urban vacancy through social media data , 2019, Cities.
[11] Xiao Xiang Zhu,et al. Has Dongying developed to a ghost city? - Evidence from multi-temporal population estimation based on VHR remote sensing and census counts , 2019, Comput. Environ. Urban Syst..
[12] S. Dech,et al. Inferring floor area ratio thresholds for the delineation of city centers based on cognitive perception , 2019, Environment and Planning B: Urban Analytics and City Science.
[13] Min Xu,et al. Landscape pattern indices for evaluating urban spatial morphology – A case study of Chinese cities , 2019, Ecological Indicators.
[14] Wei Zhang,et al. Housing ownership and housing wealth: new evidence in transitional China , 2019 .
[15] Yan Song,et al. The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical ‘big data’ , 2018, Land Use Policy.
[16] Jianguo Wu,et al. What drives urban growth in China? A multi-scale comparative analysis , 2018, Applied Geography.
[17] Xianjin Huang,et al. Exploring the relationship between urban land supply and housing stock: Evidence from 35 cities in China , 2018, Habitat International.
[18] Xinyue Ye,et al. Mapping China's Ghost Cities through the Combination of Nighttime Satellite Data and Daytime Satellite Data , 2018, Remote. Sens..
[19] Wei Ge,et al. Ghost City Extraction and Rate Estimation in China Based on NPP-VIIRS Night-Time Light Data , 2018, ISPRS Int. J. Geo Inf..
[20] Sicong Liu,et al. A Multisource Remotely Sensed Data Oriented Method for “Ghost City” Phenomenon Identification , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[21] H. Taubenböck,et al. The morphology of the Arrival City - A global categorization based on literature surveys and remotely sensed data , 2018 .
[22] R. Corstanje,et al. Linking ecosystem services, urban form and green space configuration using multivariate landscape metric analysis , 2018, Landscape Ecology.
[23] Ke Wang,et al. Monitoring and assessing “ghost cities” in Northeast China from the view of nighttime light remote sensing data , 2017 .
[24] Ying Long,et al. Evaluating cities' vitality and identifying ghost cities in China with emerging geographical data , 2017 .
[25] Jingsong Deng,et al. “Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River Delta , 2017 .
[26] Sylvia Y. He,et al. Shrinking cities and resource-based economy: The economic restructuring in China's mining cities , 2017 .
[27] Alexander Zipf,et al. Identifying the city center using human travel flows generated from location-based social networking data , 2016 .
[28] D. Floyd. Planning for growth , 2015 .
[29] Yu Liu,et al. Ghost Cities Analysis Based on Positioning Data in China , 2015, ArXiv.
[30] Wade Shepard,et al. Ghost Cities of China: The Story of Cities without People in the World's Most Populated Country , 2015 .
[31] B. Liu,et al. A 2010 update of National Land Use/Cover Database of China at 1:100000 scale using medium spatial resolution satellite images , 2014 .
[32] C. Couch,et al. Housing Vacancy and the Shrinking City: Trends and Policies in the UK and the City of Liverpool , 2013 .
[33] Christian Dreger,et al. Is there a Bubble in the Chinese Housing Market? , 2010 .
[34] C. Spivey,et al. The Mills—Muth Model of Urban Spatial Structure: Surviving the Test of Time? , 2008 .
[35] D. McMillen. Testing for Monocentricity , 2007 .
[36] Jiahui Fan. Space-Time Analysis and Factors Attribution of Urban Shrinkage in Northeast China , 2019, The Urban Book Series.
[37] Xun Li,et al. Measuring Growth and Shrinkage in a Rapidly Urbanized Area: The Case of Dongguan , 2019, The Urban Book Series.
[38] Fulong Wu. Planning for Growth: Urban and Regional Planning in China , 2015 .
[39] F. Al-Shamali,et al. Author Biographies. , 2015, Journal of social work in disability & rehabilitation.