کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4928238 1432020 2017 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Examining spatiotemporally varying effects of urban expansion and the underlying driving factors
ترجمه فارسی عنوان
بررسی تأثیرات مختلف فضایی توسعه شهری و عوامل موثر بر آن
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
In the context of rapid urbanization, the comprehensive analysis of urbanization process, urban expansion effects and the underlying driving factors have become increasingly crucial for providing support to the land management and urban planning decision. This study explores spatial metrics, geographically weighted regression (GWR), and cellular automata (CA) model, with a case study in Xuzhou city, China, to analyze the urbanization process. Spatial metrics were applied for quantifying the urban spatial patterns. The spatiotemporally varying effects of urban expansion on spatial patterns were further investigated using GWR. By involving natural and socioeconomic variables, CA model was applied to examine the relationship between driving factors and urban expansion. The results indicate that the spatial patterns of Xuzhou have significantly changed along with the urbanization process. The parameters obtained from GWR imply that the effects of urban expansion on spatial patterns are spatiotemporally varying. CA model helps in better understanding the effects of the considered factors on urban expansion by reproducing historical urban expansion process. The findings provide an effective way to better understand the urbanization process, and to aid the decision making for urban land management.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sustainable Cities and Society - Volume 28, January 2017, Pages 307-320
نویسندگان
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