4.7 Article

A comparative study of urban expansion in Beijing, Tianjin and Shijiazhuang over the past three decades

期刊

LANDSCAPE AND URBAN PLANNING
卷 134, 期 -, 页码 93-106

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.landurbplan.2014.10.010

关键词

Urban growth type; Multiple scale landscape analysis; Remote sensing; Jing-Jin-Ji Urban Agglomeration; Cross-city comparison; Intra-city dynamics

资金

  1. National Natural Science Foundation of China [31321061, 41071050]

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Detailed comparative studies on spatiotemporal patterns of both urbanized area and urban expansion over a relatively long timeframe are rare. Here, we compared spatiotemporal patterns of urbanization in three major cities (i.e., Beijing, Tianjin and Shijiazhuang) in the Jing-Jin-Ji Urban Agglomeration using multi-temporal Landsat MSS, TM, and ETM+ images data of circa 1980, 1990, 1995, 2000, 2005 and 2010 integrated with Geographic Information System (GIS) techniques and landscape analysis approaches. A multi-scale analysis on the landscape responses to urban expansion from regional landscape to city and within city levels was performed. Results showed that urban area in Beijing, Tianjin and Shijiazhuang has expanded from 801 km(2), 795 km(2) and 682 km(2) to 2452 km(2), 3343 km(2) and 1699 km(2), increasing annually at 3.7%, 4.7% and 3.2%, respectively. Spatially, Beijing, Tianjin and Shijiazhuang have presented a mononuclear concentric polygon pattern, a double-nucleated polygon-line pattern, a sectorial point pattern, respectively, resulting primarily from their respective topographic constraints as well as urban planning and policy. Landscape responses to urban expansion varied with time and scale investigated, suggesting a general understanding on landscape metrics at regional or city level may fail to reveal detailed within city landscape dynamics under the impacts of urban expansion. The Jing-Jin-Ji Urban Agglomeration faces a great challenge to manage trades-offs between narrowing down intra-regional disparity and maintaining regional economic and ecological benefits. (C) 2014 Elsevier B.V. All rights reserved.

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