Autor(en): Zhao, Jie
Thinh, Nguyen Xuan
Li, Cheng
Titel: Investigation of the impacts of urban land use patterns on energy consumption in china
Sonstige Titel: A case study of 20 provincial capital cities
Sprache (ISO): en
Zusammenfassung: Urban land use patterns are increasingly recognized as significant contributors to energy consumption. However, few studies have quantified the impacts of urban land use patterns on energy consumption. In this study, we analyzed the impacts of urban land use patterns on energy consumption for 20 provincial capital cities in China from 2000 to 2010. Landsat data and spatial metrics were first used to quantify the urban land use patterns, and then city-level energy consumption was estimated based on nighttime light (NTL) data and statistical provincial energy consumption data. Finally, a panel data analysis was applied to investigate the impacts of urban land use patterns on energy consumption. Our results showed that NTL data were effective for estimating energy consumption at the city level and indicated that accelerated energy consumption was caused by increases in the irregularity of urban land forms and the expansion of urban land. Moreover, significant regional differences in the impacts of urban land use patterns on energy consumptions were identified. Our results provide insights into the relationship between urban growth and energy consumption and may support effective planning towards sustainable development.
Schlagwörter: urban land use pattern
energy consumption
nighttime light data
remote sensing
panel data analysis
Schlagwörter (RSWK): Energieverbrauch
Flächennutzung
Fernerkundung
Panelanalyse
URI: http://hdl.handle.net/2003/38500
http://dx.doi.org/10.17877/DE290R-20419
Erscheinungsdatum: 2017-08-07
Rechte (Link): http://creativecommons.org/licenses/by/4.0/
Enthalten in den Sammlungen:Raumbezogene Informationsverarbeitung und Modellbildung

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
sustainability-09-01383.pdf8.05 MBAdobe PDFÖffnen/Anzeigen


Diese Ressource ist urheberrechtlich geschützt.



Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons