DOI: 10.1016/j.jag.2014.08.013
Scopus记录号: 2-s2.0-84921027946
论文题名: Spatiotemporal variability of urban growth factors: A globaland local perspective on the megacity of Mumbai
作者: Shafizadeh-Moghadam H ; , Helbicha M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 35, 期: PB 起始页码: 187
结束页码: 198
语种: 英语
英文关键词: Autologistic regression
; Geographically weighted logistic regression
; GIS
; Logistic regression
; Urban growth
Scopus关键词: GIS
; land use planning
; megacity
; satellite data
; spatiotemporal analysis
; urban development
; urban growth
; urban planning
; India
; Maharashtra
; Mumbai
英文摘要: The rapid growth of megacities requires special attention among urban planners worldwide, and partic-ularly in Mumbai, India, where growth is very pronounced. To cope with the planning challenges this willbring, developing a retrospective understanding of urban land-use dynamics and the underlying driving-forces behind urban growth is a key prerequisite. This research uses regression-based land-use changemodels - and in particular non-spatial logistic regression models (LR) and auto-logistic regression mod-els (ALR) - for the Mumbai region over the period 1973-2010, in order to determine the drivers behindspatiotemporal urban expansion. Both global models are complemented by a local, spatial model, the so-called geographically weighted logistic regression (GWLR) model, one that explicitly permits variationsin driving-forces across space. The study comes to two main conclusions. First, both global models suggestsimilar driving-forces behind urban growth over time, revealing that LRs and ALRs result in estimatedcoefficients with comparable magnitudes. Second, all the local coefficients show distinctive temporaland spatial variations. It is therefore concluded that GWLR aids our understanding of urban growth pro-cesses, and so can assist context-related planning and policymaking activities when seeking to secure asustainable urban future. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79580
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Geography, University of Heidelberg, Germany; Tarbiat Modares University, Department of GIS and Remote Sensing, Tehran, Iran; Department of Human Geography and Spatial Planning, Utrecht University, Netherlands
Recommended Citation:
Shafizadeh-Moghadam H,, Helbicha M. Spatiotemporal variability of urban growth factors: A globaland local perspective on the megacity of Mumbai[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,35(PB)