Authors: Yuzhou Chen*, Ran Tao
Topics: China, Urban Geography, Spatial Analysis & Modeling
Keywords: shrinking cities, ,spatial statistic, spatial heterogeneity
Session Type: Paper
Presentation File: No File Uploaded
Shrinking cities is a long-standing yet still heavily-debated topic. Many developed countries have already experienced the shrinking city phenomena, known examples include Detroit and Youngstown in the U.S., Liverpool and Manchester in the U.K. In developing countries such as China, urban shrinkage has gradually occurred despite the general trend is still rapid urban growth. Some regions are growing and shrinking at the same time, which increases the difficulty of measuring rapid urban changes that are spatially heterogeneous. In this paper, we propose a new method framework to solve this issue by combining two spatial statistics, namely LISA (Anselin 1995) and LOSH (Ord and Getis 2012). By jointly analyzing the Gi* statistic (Getis and Ord 1992; Ord and Getis 1995) and Hi statistic (Ord and Getis 2012) for several consecutive years using population activity data, we are able to categorize each basic spatial unit, e.g. grid cell or census tract, into the corresponding stage of urban development. The results can not only indicate the status and trend of urban development at a very fine scale, but also reflect the rate of change. Case studies are conducted for the selected cities in both China and the U.S.