FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2966629941> ?p ?o ?g. }

• W2966629941 endingPage "101372" @default.
• W2966629941 startingPage "101372" @default.
• W2966629941 abstract "Abstract With ongoing growth and continuous development of cities, the world is turning into an urban society. In this context, urbanization, population growth and migration towards urban areas are global trends. These processes are highly dynamic especially in China, with highest rates of urbanization worldwide. In contrast to these well-known trends, a recently emerging and rarely studied side effect is “ghost cities”, which became a notable phenomenon in China recently. A ghost city is commonly defined as a new urban development that is running at severe undercapacity with respect to population and businesses and where the availability of housing and public infrastructure significantly exceeds the practical demand. Against this background, this study presents a framework based on remote sensing for the assessment of the presence or absence of the ghost city phenomenon in a typical highly dynamic Chinese city. For this purpose, remote sensing data with very-high resolution (VHR) are employed for establishment of a 4d functional city model. Subsequently population capacity estimates are based on a statistical approach. The components of the functional 4d city model, i.e. the multi-temporal building model and the classification of building types associated with residential and non-residential function returned very high accuracies with κ of 0.73 and 0.89, respectively. The number of floors was estimated with coefficient of determination of 0.91. Compared to the numbers of official census counts, the multi-temporal population capacity estimation revealed a considerable mismatch of available living space based on VHR remote sensing data and actual population counts. According to the conceptual framework of this study, this disagreement indicates a high likelihood and significant evidence for the emergence and presence of the ghost city phenomenon for the city of Dongying. In addition, a detailed spatial assessment was conducted in terms of an index comparing the dynamics of residential developments and population numbers to provide an impression of specific regions of the urban area which are most likely to suffer from the ghost city phenomenon." @default.
• W2966629941 created "2019-08-13" @default.
• W2966629941 creator A5046449632 @default.
• W2966629941 creator A5050481792 @default.
• W2966629941 creator A5068384981 @default.
• W2966629941 creator A5078698089 @default.
• W2966629941 date "2019-11-01" @default.
• W2966629941 modified "2023-09-29" @default.
• W2966629941 title "Has Dongying developed to a ghost city? - Evidence from multi-temporal population estimation based on VHR remote sensing and census counts" @default.
• W2966629941 cites W1541774929 @default.
• W2966629941 cites W1625772672 @default.
• W2966629941 cites W1806509580 @default.
• W2966629941 cites W1971891344 @default.
• W2966629941 cites W1977091958 @default.
• W2966629941 cites W1979597490 @default.
• W2966629941 cites W1984408895 @default.
• W2966629941 cites W1996329616 @default.
• W2966629941 cites W2002264765 @default.
• W2966629941 cites W2004056710 @default.
• W2966629941 cites W2009740566 @default.
• W2966629941 cites W2009857240 @default.
• W2966629941 cites W2012838735 @default.
• W2966629941 cites W2019317643 @default.
• W2966629941 cites W2032338257 @default.
• W2966629941 cites W2034906331 @default.
• W2966629941 cites W2042556163 @default.
• W2966629941 cites W2073936917 @default.
• W2966629941 cites W2079713931 @default.
• W2966629941 cites W2083863337 @default.
• W2966629941 cites W2084079845 @default.
• W2966629941 cites W2114828048 @default.
• W2966629941 cites W2129521039 @default.
• W2966629941 cites W2137825465 @default.
• W2966629941 cites W2141409967 @default.
• W2966629941 cites W2142453803 @default.
• W2966629941 cites W2149914199 @default.
• W2966629941 cites W2157163776 @default.
• W2966629941 cites W2157666883 @default.
• W2966629941 cites W2164750283 @default.
• W2966629941 cites W2221257734 @default.
• W2966629941 cites W2224544540 @default.
• W2966629941 cites W2261059368 @default.
• W2966629941 cites W2412983935 @default.
• W2966629941 cites W2514037362 @default.
• W2966629941 cites W2519960185 @default.
• W2966629941 cites W2529139408 @default.
• W2966629941 cites W2539320077 @default.
• W2966629941 cites W2560960592 @default.
• W2966629941 cites W2581341326 @default.
• W2966629941 cites W2589797206 @default.
• W2966629941 cites W2610884537 @default.
• W2966629941 cites W2766349417 @default.
• W2966629941 cites W2791465688 @default.
• W2966629941 cites W2802187966 @default.
• W2966629941 cites W2883348805 @default.
• W2966629941 cites W2911964244 @default.
• W2966629941 doi "https://doi.org/10.1016/j.compenvurbsys.2019.101372" @default.
• W2966629941 hasPublicationYear "2019" @default.
• W2966629941 type Work @default.
• W2966629941 sameAs 2966629941 @default.
• W2966629941 citedByCount "20" @default.
• W2966629941 countsByYear W29666299412020 @default.
• W2966629941 countsByYear W29666299412021 @default.
• W2966629941 countsByYear W29666299412022 @default.
• W2966629941 countsByYear W29666299412023 @default.
• W2966629941 crossrefType "journal-article" @default.
• W2966629941 hasAuthorship W2966629941A5046449632 @default.
• W2966629941 hasAuthorship W2966629941A5050481792 @default.
• W2966629941 hasAuthorship W2966629941A5068384981 @default.
• W2966629941 hasAuthorship W2966629941A5078698089 @default.
• W2966629941 hasBestOaLocation W29666299412 @default.
• W2966629941 hasConcept C127413603 @default.
• W2966629941 hasConcept C201995342 @default.
• W2966629941 hasConcept C205649164 @default.
• W2966629941 hasConcept C2908647359 @default.
• W2966629941 hasConcept C41008148 @default.
• W2966629941 hasConcept C52130261 @default.
• W2966629941 hasConcept C58640448 @default.
• W2966629941 hasConcept C62649853 @default.
• W2966629941 hasConcept C71924100 @default.
• W2966629941 hasConcept C96250715 @default.
• W2966629941 hasConcept C99454951 @default.
• W2966629941 hasConceptScore W2966629941C127413603 @default.
• W2966629941 hasConceptScore W2966629941C201995342 @default.
• W2966629941 hasConceptScore W2966629941C205649164 @default.
• W2966629941 hasConceptScore W2966629941C2908647359 @default.
• W2966629941 hasConceptScore W2966629941C41008148 @default.
• W2966629941 hasConceptScore W2966629941C52130261 @default.
• W2966629941 hasConceptScore W2966629941C58640448 @default.
• W2966629941 hasConceptScore W2966629941C62649853 @default.
• W2966629941 hasConceptScore W2966629941C71924100 @default.
• W2966629941 hasConceptScore W2966629941C96250715 @default.
• W2966629941 hasConceptScore W2966629941C99454951 @default.
• W2966629941 hasFunder F4320335254 @default.
• W2966629941 hasLocation W29666299411 @default.
• W2966629941 hasLocation W29666299412 @default.
• W2966629941 hasLocation W29666299413 @default.
• W2966629941 hasOpenAccess W2966629941 @default.

• next